View Details
Name	Cha Joong Hyuck
Research Area	Real-Time Network System, Data Distribution Service
Education	PhD Candidate, Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea (3.2017 - present) M.S. Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea (3.2016 - 02.2018) B.S. School of Electronic Engineering, Kumoh National Institute of Technology (3.2011 - 2.2016)
cellular phone	01071514727
e-mail	ckwndgur@naver.com (http://blog.naver.com/ckwndgur)

https://www.researchgate.net/profile/Joong_Hyuck_Cha

- Biography-

He is a phD Candidate, Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, South Korea from 2017. He received Master's degree in Dept. of IT Convergence Engineering from the same university. His research interests are wireless sensor networks and embedded systems.

- Publication-

1. Hea-Min Lee, Seung-Han Kim, Joong-Hyuk Cha and D.-S. Kim, "MMS over MQTT Protocol for Industrial IoT Platform", International Journal of Advances in Computer Science & Its Applications, (ISSN 2250-3765), vol.6 no.2, Aug. 2016.

2. Joong-Hyuk Cha, Seung-Han Kim, Jin-Yong Im and D.-S. Kim, "Asymmetric Time Division Multiple Access Method for Tactical Radio Communication", International Journal of Advances in Computer Networks and Its Security, (ISSN 2250-3757), vol.6 no.2, Aug. 2016.

3. Yong-Hyeun Kwon, Joong-Hyuk Cha, Dong-Seong Kim, "전술 무선통신망의 응답시간 및 처리량 개선을 위한 비대칭 다중접속기법 설계 및 성능분석(Design and performance analysis of Asymmetric Time Division Multiple Access Method for Improving Response Time and Throughput in Tactical Radio Communication)," 한국군사과학기술학회(KIMST), Vol. 21, No. 3, pp 361-369, Jun, 2018.

4. J. H. Cha and D.-S. Kim, "Design and Implementation of Real-Time Monitoring Tool for Data Distribution Service", IEIE Transactions on Smart Processing & Computing (ISSN: 2287-5255), vol. 7, no. 4, pp. 264-270, 2018. (N1 & N2)

5. 차중혁, 이종우, 이재민, 동성, "차중혁, 이종우, 이재민, 김동성, "민·군 ICT융합기술을 위한 실시간 미들웨어 응용 및 동향 연구", Journal of KICS, vol.37, no.10, pp.47-54, Oct. 2020.

6. 이주원, 차중혁, 이종우, 김경선, 김동성, "PFDP 기반 DDS Security의 경량화 디스커버리 기법(PFDP-based DDS Security Lightweight Discovery Scheme)", Journal of KICS, Vol.45, No.12, 2020.

-Domestic Conference-

1. 차중혁, Hojiev Sardor Qurbonboyevich, 김동성, "산업용 무선통신망을 위한 동적 부하 분산 기법", 2015년도 한국통신학회 동계종합학술발표회, 하이원리조트, No page number, 21-23. Jan. 2015

2.차중혁, 권용현, 김동성, "전술 무선 통신망을 위한 비대칭 다중접속기법(A-TDMA) 설계", 2016년도 한국통신학회 동계종합학술발표회, 하이원리조트, 20-22. Jan. 2016.(N1&N2)

3.차중혁, 김승한, 김동성, "함정 전투 시스템의 로그 관리 및 분석 도구 설계", 2016년도 한국통신학회 하계종합학술발표회, pp.366-367, 제주ICC, June 22-24, 2016 (N1&N2)

4. 차중혁, 이재민, 김동성, "함정 전투 시스템을 위한 가우시안 혼합모델 기반 DDS 로그 검출 및 인식 기법(Gaussian Mixture Model-based Detection and Recognition Scheme of DDS Log for Naval Combat System)", 2017년도 한국통신학회 동계종합학술발표회, 하이원리조트, pp. 148-149, 18-20. Jan, 2017(N1&N2)

5. 장민희, 차중혁, 김동성, "산업용 장비의 기울기 측정 및 조절을 위한 어플리케이션 설계 및 구현(Application Design and Implementation for Inclination Measurement and Adjustment of Industrial Equipment)", 2017년도 전자정보통신 학술대회, 호텔인터시티, pp. 129-132, 1. Dec, 2017

7. 차중혁, 김동성, "데이터 분산 서비스 인터페이스 기반의 실시간 미들웨어를 위한 오류 검출 기법(Error Detection Scheme based on Data Distribution Service Interface for Real-Time Middleware)", 2017년도 전자정보통신 학술대회, 호텔인터시티, pp. 57-60, 1. Dec, 2017 (N2&N4)

7. Joong-Hyuck Cha and Dong-Seong Kim, "Network Load Reduction Scheme for Secure DDS base Large-scale Distribution System", 2019 Summer Conference on Korea Institute Of Communication Sciences(KICS), pp.274-275, June 19-21 2019, Jeju Island, South Korea(N4&N8)

8. 김승한,차중혁,손민영,이재민,김동성 "실시간 미들웨어 모니터링 소프트웨어의 메시지 오버헤드 감소 기법(Message Overhead Reduction Scheme for Real-time Middleware Monitoring Software)," 2019 Winter Conference on Korea Institute Of Communication Sciences(KICS), January 23-25, 2019, YongPyeong, Korea, (N3 & N4 & N8)

9. 차중혁, 이재민, 김동성, "함정 전투 시스템을 위한 Secure DDS 기반 고장 예방 및 예측 기법 설계(Design of Fault Prevention and Prediction Scheme based on Secure DDS for Naval Combat System)", 2019 Winter Conference on Korea Institute Of Communication Sciences(KICS), January 23-25, 2019, YongPyeong, Korea (N4 & N8)

10. Joong-Hyuck Cha and Dong-Seong Kim, "Network Load Reduction Scheme for Secure DDS base Large-scale Distribution System", 2019 Summer Conference on Korea Institute Of Communication Sciences(KICS), pp.274-275, June 19-21 2019, Jeju Island, South Korea(N4&N8)

11. Joong-Hyuck Cha and Dong-Seong Kim, "Data Distribution Service based on Edge Computing Platform of Industrial IoT", 2020 Summer Conference on Korea Institute Of Communication Sciences(KICS), August 12-14, 2020, Yong Pyong Resort, Pyeongchang, Gangwon Province, South Korea(N8&N12)

12. Joong-Hyuck Cha,Jae Min Lee, and Dong-Seong Kim"Application and Case Analysis of ICT using Message-oriented Middleware", 2020 Fall Conference on Korea Institute Of Communication Sciences(KICS), Nov. 13, 2020, Online, South Korea(N8&N12)

13. Joong-Hyuck Cha and Dong-Seong Kim, "BLE-based lightweight message-oriented middleware in Wireless Sensor Network", 2021 Winter Conference on Korea Institute Of Communication Sciences(KICS), Feb. 3-5, 2021, Yong Pyeong Resort, Pyeongchang, Korea

14. Joong-Hyuck Cha,Jae Min Lee, and Dong-Seong Kim, "Security Enhancement Scheme of BLE-based Lightweight MOM for Industrial IoT", 2021 Summer Conference on Korea Institute of Communication Sciences(KICS), Ramada Plaza, Jeju Island, Korea, June 16-18, 2021(N8&N12)

-International Conference-

1. Joong-Hyuk Cha, Seung-Han Kim, Jin-Yong Im and Dong-Seong Kim, "Asymmetric Time Division Multiple Access Method for Tactical Radio Communication", CEET'16, MALAYSIA, 12-13 March 2016.

2. Hea-Min Lee, Seung-Han Kim, Joong-Hyuk Cha and Dong-Seong Kim, "MMS over MQTT Protocol for Industrial IoT Platform", CEET'16, MALAYSIA, 12-13 March 2016 (N1&N2).

3. Joong-Hyuck Cha, Ha-Yeon Lee, Dong-Seong Kim, "Design and Implementation of Naval System Using Virtualization Technology", The Sixth International Conference On Advances in Computing, Control and Networking - ACCN 2017, Bangkok, Thailand, pp.101-104, 25-26 Feb 2017.

4. Joong-Hyuck Cha and Dong-Seong Kim, "Error Detection Scheme of Smart DDS Middleware for Naval Combat System", ICEIC 2018, Honolulu, Hawaii, USA, 24-27 Jan 2018.

5. Min-Young Son, Dong-Seong Kim and Joong-Hyuck Cha, "Efficient DDS Monitoring System for Large Amount of Data", 14th IEEE International Workshop on Factory Communication Systems(WFCS), 13 - 15 June 2018, Imperia, Italy.

6. Min-Young Son, Joong-Hyuck Cha and Dong-Seong Kim, "Priority-based Parallel Processing Scheme of Mass Data for Real-time DDS Monitoring System", The 11th International Conference on Ubiquitous and Future Networks(ICUFN 2019), Zagreb, Croatia, 2-5 July 2019. (N4&N8)

7. G.-S. Kim, J.-H. Cha, J.-M. Lee, D.-S. Kim, "Design of Fault Prevention and Prediction Scheme based on Secure DDS in Military Area", 4th International Conference on Electrical System, Technology & Information(ICESTI), Bali, Indonesia, 24-27, October, 2019

-Patent-

1. [2020.09.25] 이재민, 차중혁, 김동성, 김정한, 이문영, 김근호, "라이더 센서 기반 사생활 공간에서의 위급상황 감지 시스템"

출원번호 : 10-2020-0124717

2. [2021. 02. 17] 김동성, 이재민, 케빈 푸트라 디르간토로, 차중혁, "블록체인 아키텍처를 활용한 엣지 컴퓨팅 기반의 생성적 적대 신경망"

출원번호 : 10-2021-0020893

3. [2021. 04. 08] 김동성, 이재민, 케빈 푸트라 디르간토로, 차중혁, "에지 서버 아키텍처를 활용한 듀얼 필드버스 기반 산업용 사물인터넷 네트워크 시스템"

출원번호 : 10-2021-0045591

4. [2021. 06. 24] 이재민, 김동성, 차중혁, "열상감지 센서 기반 사생활 공간에서의 위급상황 감지 시스템"

출원번호 : 10-2021-0082083

5. [2021. 07. 06] 김동성, 이재민, 사자드 호사인, 차중혁, "에지 컴퓨팅 기반 IIoT 환경에서 강화학습을 활용한 태스크 오프로딩 기법"

출원번호 : 10-2021-0088193

6. [2021. 08. 06] 김동성, 이재민, 차중혁, "산업용 사물 인터넷 환경에서 데이터 분산 서비스 기반의 엣지 컴퓨팅 플랫폼 시스템"

출원번호 : 10-2021-0103563

7. [2022.01.27] 김동성, 이재민, 가브리엘 아마이주, 차중혁,"차세대 네트워크 환경에서 복합 DNN 기반 DDoS 공격 감지 기법"

출원번호 : 10-2022-0011983

8. [2022.01.28] 김동성, 이재민, 차중혁, "무선 센서 네트워크 환경에서 상호운용성 향상을 위한 BLE 기반 경량 메시지 지향 미들웨어"

출원번호 : 10-2022-0013378

View Details
Name	Da Hye Kim
Research Area	Real-time Wireless Network and Avionic System
Education	PhD. Candidate Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea (3.2018 - present) M.S. Dept. of Electronic Engineering, Kumoh National Institute of Technology, Gumi, South Korea (3.2016 - 2.2018.) B.S. School of Electronic Engineering, Kumoh National Institute of Technology (3.2010 - 2.2015)
cellular phone	010-6780-3454
e-mail	gily3454@naver.com

https://scholar.google.co.kr/citations?user=ENqcMXYAAAAJ&hl=en

- Biography -

Da-Hye Kim is Ph.D. student at IT convergence engineering, Kumoh National Institute of Technology, Republic of Korea. She received her B.S degree and Master degree at same school as Ph.D. in 2015 and 2018 respectively. The research interests are real-time systems, wireless industrial networks, and avionic system.

- Publication -

1. D.-H. Kim, H.-Y. Lee, and D.-S. Kim, "Enhanced Industrial Message Protocol for Real-time IoT Platform", IEIE Transactions on Smart Processing & Computing(IEIE SPC), (ISSN: 2287-5255), vol. 7, no. 5, pp. 378-384, 2018.

2. S.-H. Kim, D.-H. Kim, and D.-S. Kim, "Design of Smart Platform-based Event-Log Analysis and Parameter-modifying Software for Naval Combat Systems", IEIE Transactions on Smart Processing & Computing(IEIE SPC), (ISSN: 2287-5255), vol. 7, no. 5, pp. 385-391, 2018.

3. S.-P. Ahn, D.-H. Kim, J.-M. Lee, and D.-S. Kim, "Analysis of Wireless Network Technology for High Reliability Aircraft Networks(고 신뢰성 항공기 무선 네트워크 동향 및 기술 분석)", The Journal of Korean Institute of Communication and Information Sciences(J-KICS), (ISSN : 1226-4717), vol. 41, no.12, pp.1933-1941, Dec. 2016.

-Domestic Conference -

1. Da-Hye Kim, Jae-Min Lee and Dong-Seong Kim, "Design of IEEE 802.11ah based Delay-Sensitive MAC Protocol for IIoT", 2020 KICS Fall Conference, Nov 13 2020, online

2. D.-H. Kim and D.-S. Kim, "Edge Computing based Node Clustering scheme for Real-time data in IWSN Environment",2019 Korean Institute of Communication and Information Sciences(KICS) Summer Conference, pp.197-198, Jeju Island, South Korea, June 19-21 2019.

3. D.-H. Kim, J.-M. Lee, and D.-S. Kim, "Data Aggregation Scheme for Real-time Industrial WSNs(실시간 산업용 무선 센서 네트워크를 위한 데이터 수집 기법)", 2019 Korean Institute of Communications and Information Sciences(KICS) Winter Conference, pp. 707 - 708, Yong, 23-25. Jan., 2019.

4. D.-H. Kim, S.-P. Ahn, J.-M. Lee, D.-S. Kim, "Performance Evaluation of Wireless Networks Technology for Aircraft Networks considered Radio Environment of Aircraft(항공기 내부 전파 환경을 고려한 항공기내용 무선통신망기술 성능 분석)", 2017 Korean Institute of Communication and Information Sciences(KICS) Winter Conference, pp. 237-238, Jungsun, South Korea, 18-20 Jan., 2017.

5. S.-P. Ahn, D.-H. Kim, D.-S. Kim, "Performance Evaluation of Wireless Communication Technology for Reliability Wireless Communication for Aircraft(고신뢰성 무선 항공네트워크를 위한 무선통신망 기술 성능 분석)" 2016 Korean Institute of Communications and Information Sciences(KICS) Summer Conference, pp.249-250, Jeju island, South Korea, June 22-24, 2016.

-International Conference -

1. D.-H. Kim, M. R. Ramli, J.-M. Lee, and D.-S. Kim, "SeamFarm: Distributed Data Analytic for Precision Agriculture based on Seamless Computing", The 25th Annual International Conference on Mobile Computing and Networking (ACM MobiCom 2019), Los Cabos, Mexico, October 21-25, 2019, (acmDOI: 10.1145/3300061.3343400, acmISBN: 978-1-4503-6169-9/19/10)

2. D.-H. Kim, H.-Y. Lee, and D.-S. Kim, "Enhanced Industrial Message Protocol for Real-time IoT Platform," 2018 International Conference on Electronics, Information, and Communication (ICEIC), pp. 1-2, Honolulu, USA, 24-27 January, 2018. (doi:10.23919/ELINFOCOM.2018.8330672)

3. S.-H. Kim, D.-H. Kim, and D.-S. Kim, "Event Log Analysis Software Design for Naval Combat System using Smart Platform", 2018 International Conference on Electronics, Information, and Communication (ICEIC), pp. 1-2, Honolulu, Hawaii, USA, 24-27 January 2018. (doi:10.23919/ELINFOCOM.2018.8330563)

4. H.-Y. Lee, D.-H. Kim, S. Rizal, and D.-S. Kim, "Design of Deflection Measurement System using Smart Proximity Sensors for Ship Engine", Asia Pacific Society for Computing and Information Technology 2017 (APSCIT 2017), Sapporo, Japan, 27-30 Jul. 2017

View Details
Name	Philip Tobianto Daely
Research Area	Bio-Inspired Optimization, Distributed Computing, Wireless Localization, Industrial Internet of Thin
Education	Ph.D. Candidate, Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, South Korea (03.2019 - present). M.Eng., Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, South Korea. (09.2015 - 08.2017) B.Eng., Department of Electrical Engineering, Telkom University, Bandung, Indonesia (08.2011 - 02.2015).
e-mail	philip.daely@kumoh.ac.kr

Philip Tobianto Daely received his B.Eng. degree in electrical engineering from Telkom University, Bandung, Indonesia in 2015 and the M.Eng. degree in IT convergence engineering from Kumoh National Institute of Technology, Gumi, South Korea in 2017. He is currently on leave as a Lecturer in the Department of Information Technology, Institut Teknologi Telkom Surabaya, Surabaya, Indonesia since 2018 to pursue a Ph.D degree from Kumoh National Institute of Technology. His research interests include Bio-Inspired Optimization, Distributed Computing, Wireless Localization, Real-Time Embedded System, with application in industrial or military sector.

Google Scholar: https://scholar.google.com/citations?hl=en&user=KYooSqIAAAAJ

ResearchGate: https://www.researchgate.net/profile/Philip_Daely

Publons: https://publons.com/researcher/1736185/philip-tobianto-daely/

Web of Science ResearcherID: M-3827-2017

Scopus Author ID: 57190810234

ORCID: 0000-0001-5290-9564

Publication in NSL:

P. T. Daely, J. M. Lee, and D.-S. Kim, "Dynamic Delivery Truck Routing System with Task Clustering and Particle Swarm Optimization," KICS Summer Conference 2022, Jeju, South Korea, June 22-24, 2022.
P. T. Daely, J. M. Lee, and D.-S. Kim, "Multi-Vehicle Routing for Pickup Service in Dynamic Scenario," KICS Winter Conference 2022, Pyeongchang, South Korea, February 9-11, 2022.
P. T. Daely, Y. J. Aruan, J. M. Lee, and D.-S. Kim, "Dynamic VRP Optimization Using Discrete PSO in Edge Computing Environment", The 12th International Conference on ICT Convergence ICT (ICTC 2021), Jeju, South Korea, October 20-22, 2021.
Y. J. Aruan, P. T. Daely, G. A. Sampredo, J. M. Lee, and D.-S. Kim, "The Design of The Emerging 5G Using Hybrid GPON and XGS-PON Technology", The 12th International Conference on ICT Convergence ICT (ICTC 2021), Jeju, South Korea, October 20-22, 2021.
P. T. Daely, J. M. Lee, and D.-S. Kim, "Edge Computing Based Pickup and Delivery Optimization for Warehouse," KICS Winter Conference 2021, Yongpyeong, South Korea, February 3-4, 2021.
P. T. Daely, A. P. Anantha, J. M. Lee, and D.-S. Kim, "Distributed Computing Architecture for Logistic Job Allocation in Smart Factory," The 11th International Conference on ICT Convergence (ICTC 2020), Jeju, South Korea, October 21-23, 2020.
A. P. Anantha, P. T. Daely, J. M. Lee, and D.-S. Kim, "Edge Computing-Based Anomaly Detection for Multi-Source Monitoring in Industrial Wireless Sensor Networks," The 11th International Conference on ICT Convergence (ICTC 2020), Jeju, South Korea, October 21-23, 2020.
M. P. Maharani, P. T. Daely, J. M. Lee, and D.-S. Kim, "Attack Detection in Fog Layer for IIoT Based on Machine Learning Approach," The 11th International Conference on ICT Convergence (ICTC 2020), Jeju, South Korea, October 21-23, 2020.
P. T. Daely, A. P. Anantha, J. M. Lee, and D.-S. Kim, "On the Effect of Carrier Robots' Capacity and Speed Towards Task Execution in Smart Factory," KICS Summer Conference 2020, Yongpyeong, South Korea, August 12-14, 2020.
A. P. Anantha, P. T. Daely, J. M. Lee, and D.-S. Kim, "Hidden Information Detection in Speech Signal Using MFCC and LDA," KICS Summer Conference 2020, Yongpyeong, South Korea, August 12-14, 2020.
M. R. Ramli, P. T. Daely, D.-S. Kim, and J. M. Lee, "IoT-based Adaptive Network Mechanism for Reliable Smart Farm System", Computers and Electronics in Agriculture, Vol. 170, March 2020.
M. R. Ramli, P. T. Daely, J. M. Lee, and D.-S. Kim, "Bio-inspired Service Provisioning Scheme for Fog-based Industrial Internet of Things," The 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2019), Zaragoza, Spain, September 10-13, 2019.
P. T. Daely, A. Abdukhakimov, J. M. Lee, and D.-S. Kim, "Mobile Node Localization Using PSO with Exploitation of the Worst Particle," KICS Summer Conference 2019, Jeju, South Korea, June 19-21, 2019.
A. Abdukhakimov, P. T. Daely, and D.-S. Kim, "Reliability Analysis for Ultra-Reliable and Low Latency Communications in Distributed Cyber-Physical Systems", KICS Summer Conference 2019, Jeju, South Korea, June 19-21, 2019.
P. T. Daely and D.-S. Kim, "Hybrid Bio-Inspired Algorithm for Cooperative Localization in Industrial Wireless Sensor Network," The 15th IEEE International Workshop on Factory Communication Systems (WFCS 2019), Sundsvall, Sweden, May 27-29, 2019.

Brief Resume
Name	Simeon Ajakwe Okechukwu
Research Area	Drone detection and Aerial surveillance system, Real-time systems, Deep Learning Algorithms
Education	PhD Candidate, Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, South Korea (09.2020 - present) MSc. Dept. of Information Technology, Federal University of Technology, Owerri, Nigeria. (01.2013 – 03.2016) BSc. in Computer Science, Imo State University, Owerri, Nigeria. (09.2006 – 09.2009) National Diploma, Computer Science, Institute of Management Technology [IMT], Enugu, Nigeria. (12.2002 – 09.2004) Professional Membership: -Institute of Electrical and Electronics Engineering (IEEE) -Computer Professional Registration Council of Nigeria (CPN) -Nigeria Computer Society (NCS)
Phone	+821067029947
cellular phone	2347034349947
e-mail	simeon.ajakwe@kumoh.ac.kr, simeonajlove@gmail.com
View Details

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BIOGRAPHY

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Simeon Okechukwu Ajakwe is a Full-time Researcher and PhD scholar at Networked System Laboratory, IT Convergence Engineering Department in Kumoh National Institute of Technology, Gumi, South Korea. He obtained his Master of Science degree in Information Technology in 2016 from Federal University of Technology, Owerri (FUTO) and Bachelor of Science in Computer Science in 2009 from Imo State University, Owerri, Nigeria.

Simeon is a Chartered Information Technology Professional (Citp) with over 14 years of IT-related industrial and academic experience. He is a member of IEEE, Computer Professionals of Nigeria (CPN), and Nigeria Computer Society (NCS). Currently, he is the research and project leader of the Anti-drone Surveillance System as well as the Water Quality Monitoring System. His research domain cuts across Artificial Intelligence for real-time systems, Deep Learning and Computer vision, Software Engineering, Information Systems, and Security. He is a reviewer for different reputable peer-reviewed journals and has authored several publications in AI, software engineering, and information systems.

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DIGITAL CONTACT

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ORCID: 0000-0002-6973-530X

Web of Science Researcher ID: AAE-8407-2022

SCOPUS ID: 57414321100 http://www.scopus.com/authid/detail.uri?authorId=57414321100

Publons: https://publons.com/researcher/4993584/simeon-ajakwe/

Google Scholar: http://scholar.google.com/citations?user=uRUkGIUAAAAJ&hl=en

Research Gate: http://www.researchgate.net/profile/Simeon-Ajakwe

DBLP: https://dblp.uni-trier.de/pid/284/3109.html

LinkedIn: https://www.linkedin.com/in/simeon-ajakwe-813b9633/

Facebook: https://www.facebook.com/ajakwe.simeon

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PUBLICATIONS IN NSL

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A. International Journal Publications

s23031233

2. S.O. Ajakwe, Vivian Ukamaka Ihekoronye, and Dong-Seong Kim Jae Min Lee. “DRONET: Multi-Tasking Framework for Real-Time Industrial Facility Aerial Surveillance and Safety”. MDPI Drones 2022, 6(2), 46 https://doi.org/10.3390/drones6020046

3. S.O. Ajakwe, C. I. Nwakanma, D. -S. Kim and Jae Min Lee, "Key Wearable Device Technologies Parameters for Innovative Healthcare Delivery in B5G Network: A Review," in IEEE Access, vol. 10, pp. 49956-49974, 2022, http://doi.10.1109/ACCESS.2022.3173643

4. Simeon Okechukwu Ajakwe, Vivian Ukamaka Ihekoronye, Golam Mohtasin, Rubina Akter, Ali Auto, Dong Seong Kim, Jae Min Lee, November 29, 2022, "VisioDECT Dataset: An Aerial Dataset for Scenario-Based Multi-Drone Detection and Identification", IEEE Dataport, (N8 and N12), doi: https://dx.doi.org/10.21227/n27q-7e06.

B. International Conference Publications

1. V. Ukamaka Ihekoronye, Simeon Okechukwu Ajakwe, D.S. Kim and J. -M. Lee, "Hierarchical Intrusion Detection System for Secured Military Drone Network: A Perspicacious Approach," 2022 Military Communications Conference, MILCOM, Rockville, MD, USA (N8 and N12)

2. Simeon Okechukwu Ajakwe, V. Ukamaka Ihekoronye, D. -S. Kim and J. -M. Lee, "Tractable Minacious Drones Aerial Recognition and Safe-Channel Neutralization Scheme for Mission Critical Operations," 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), 2022, pp. 1-8, doi: 10.1109/ETFA52439.2022.9921494. (N8 and N12)

3. Simeon Okechukwu Ajakwe, V. Ukamaka Ihekoronye, D.S. Kim and J. -M. Lee, "SimNet: UAV-Integrated Sensor Nodes Localization for Communication Intelligence in 6G Networks," 2022 27th Asia-Pacific Conference on Communications, APCC 2022, Jeju Island, South Korea, pp. 1-8, doi: 10.1109/ETFA52439.2022.9921494. (N8 and N12)

4. Simeon Okechukwu Ajakwe, V. Ukamaka Ihekoronye, Ajakwe Ihunanya Udodiri, D.S. Kim and J. -M. Lee, "Connected Intelligence for Smart Water Quality Monitoring System in Industrial IoT," 2022 13th International Conference on ICT Convergence, ICTC 2022, Jeju Island, South Korea, Jeju Island, South Korea, pp. 1-6, https://journal-home.s3.ap-northeast-2.amazonaws.com/site/ictc2022/abs/P7-24.pdf (N8 and N12)

5. V. Ukamaka Ihekoronye, Simeon Okechukwu Ajakwe, D.S. Kim and J. -M. Lee, "Cyber Edge Intelligent Intrusion Detection Framework For UAV Network Based on Random Forest Algorithm," 2022 13th International Conference on ICT Convergence, ICTC 2022, Jeju Island, South Korea, Jeju Island, South Korea, pp. 1-6, https://journal-home.s3.ap-northeast-2.amazonaws.com/site/ictc2022/abs/A7-3.pdf (N8 and N12)

6. Mohamed Abubakar Dini, Simeon Okechukwu Ajakwe, D.S. Kim, J. -M. Lee, and Jun Taesoo, "Octopus-Inspired Robot for Underwater Exploration in Military Internet of Battle Operations and Surveillance," 2022 13th International Conference on ICT Convergence, ICTC 2022, Jeju Island, South Korea, Jeju Island, South Korea, pp. 1-6, https://journal-home.s3.ap-northeast-2.amazonaws.com/site/ictc2022/abs/P3-25.pdf (N8 and N12)

7. Simeon Okechukwu Ajakwe, V. Ukamaka Ihekoronye, D.S. Kim and J. -M. Lee, "Self-Supervised MIMO System for Autonomous Underwater Navigation Operations," 2022 1st International Conference on Maritime IT Convergence, Sono Calm, Jeju Island, Korea, pp. xxx-xx, (N8 and N12)

8. V.U. Ihekoronye, Simeon Okechukwu Ajakwe, Dong-Seong Kim, Jae-Min Lee, “Aerial Supervision of Drones and Birds using Convolutional Neural Networks”. In: The 4th International Conference on Artificial Intelligence and Communications, (ICAIIC), U.S.A. Feb. 2022. pp. 069-074, https://doi.10.1109/ICAIIC54071.2022.9722702 (N8 and N12)

9. Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Simeon Okechukwu Ajakwe, Dong-Seong Kim, Jae-Min Lee, "Countering DNS Vulnerability to Attacks Using Ensemble Learning", In: The 4th International Conference on Artificial Intelligence and Communications, (ICAIIC), U.S.A. Feb. 2022. pp. 007-010, https://doi.10.1109/ICAIIC54071.2022.9722641 (N8 and N12)

10. Simeon Okechukwu Ajakwe, V.U. Ihekoronye, Rubina~Arkter, Dong-Seong Kim, Jae-Min Lee, “Adaptive Drone Identification and Neutralization Scheme for Real-Time Military Tactical Operations”. In: 36th International Conference on Information Networking (ICOIN). Jan. 2022. pp. 380-384, https://doi.10.1109/ICOIN53446.2022.9687268 (N8 and N12)

11. Simeon Okechukwu Ajakwe, Rubina~Arkter, Love Allen Chijioke Ahakonye, Dong-Seong Kim, Jae-Min Lee, "Real-Time Monitoring of COVID-19 Vaccination Compliance: A Ubiquitous IT Convergence Approach", The 12th International Conference on ICT Convergence ICT (ICTC 2021), Jeju Island, Korea, Oct 20-22, 2021 pp. 440-445, https://doi.10.1109/ICTC52510.2021.9620806 (N8 and N12)

12. Simeon Okechukwu Ajakwe, Cosmas Ifeanyi Nwakanma, Jae-Min Lee and Dong-Seong Kim, "Machine Learning Algorithm for Intelligent Prediction for Military Logistics and Planning", The 11th International Conference on ICT Convergence (ICTC 2020), Ramada Plaza Hotel, Jeju Island, Korea, October 21-23, 2020, pp. 411-413. doi: http://doi.10.1109/ICTC49870.2020.9289286. (N8 and N12)

C. Domestic Conference Publications

.1. S.O. Ajakwe, V.U. Ihekoronye, D. Kim, D.S. Kim, and Jae-Min. Lee. “ AI-Trust in Intelligent Autonomous Decision-Centric Systems: Introspection of Security Architectures”. In: 2022 Korean Institute of Communication and Sciences Winter Conference. (KICS). November. 2022 (N8, N12, and N13) https://journal-home.s3.ap-northeast-2.amazonaws.com/site/2022f/abs/BXVPP-0383.pdf

.2. V.U. Ihekoronye, S.O. Ajakwe, D. Kim, D.S. Kim, and Jae-Min. Lee. “ Mobility-Compliant Model in Drone-Based Sniffing
Technique for Aerial Surveillance and Security”. In: 2022 Korean Institute of Communication and Sciences Winter Conference. (KICS). November. 2022 (N8 and N12) https://journal-home.s3.ap-northeast-2.amazonaws.com/site/2022f/abs/QPKHH-0390.pdf

.3. Izuazu Urslla Uchechi, S.O. Ajakwe, Cosmas Ifeanyi Nwakanma, D. Kim, D.S. Kim, and Jae-Min. Lee. “RF-Based Drone Detection using AI Models:
Results, Trends, and Open Issues ”. In: 2022 Korean Institute of Communication and Sciences Winter Conference. (KICS). November. 2022 (N8 and N12) https://journal-home.s3.ap-northeast-2.amazonaws.com/site/2022f/abs/YFXCN-0385.pdf

.4. Mohamed Abubakar Dini, S.O. Ajakwe, D. Kim, D.S. Kim, Jae-Min. Lee, and Taesoo Jun. “Droneilliance and Detection Dynamics: A Review
of Radar Techniques and Trends”. In: 2022 Korean Institute of Communication and Sciences Winter Conference. (KICS). November. 2022 (N8, N12 and N13) https://journal-home.s3.ap-northeast-2.amazonaws.com/site/2022f/abs/ZZRYQ-0384.pdf

.5. S.O. Ajakwe, V.U. Ihekoronye, D. Kim, D.S. Kim, and Jae-Min. Lee. “ Pervasive Intrusion Detection Scheme to Mitigate Sensor Attacks on UAV Networks”. In: 2022 Korean Institute of Communication and Sciences Summer Conference. (KICS). June. 2022 (N8 and N12) https://journal-home.s3.ap-northeast-2.amazonaws.com/site/2022s/abs/0194.pdf

.6. V.U. Ihekoronye, S.O. Ajakwe, D. Kim, D.S. Kim, and Jae-Min. Lee. “ Scalable Out-of-Core Learning Model for Intrusion Detection System in Internet of Drones”. In: 2022 Korean Institute of Communication and Sciences Summer Conference. (KICS). June. 2022 (N8 and N12) https://journal-home.s3.ap-northeast-2.amazonaws.com/site/ictc2022/abs/A7-3.pdf

7. V.U. Ihekoronye, S.O. Ajakwe, D.S. Kim, and Jae-Min. Lee. “Lightweight CNN Model For Real Time Recognition of Miniaturize Fleet of UAVs”. In: 2022 Korean Institute of Communication and Sciences Winter Conference. (KICS). Feb. 2022 (N8 and N12)

Brief Resume
Name	Gabriel Avelino R. Sampedro (Gino)
Research Area	Embedded Systems Internet of Things Biomedical Engineering
Education	Ph.D. Candidate, Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, South Korea (09.2020 - present) M.Sc. Computer Engineering, Mapua University, Manila, Philippines (2016 - 2018) B.S. Computer Engineering, Mapua University, Manila, Philippines (2013 - 2018)
Phone	+639999929515
cellular phone	+639999929515
e-mail	garsampedro@gmail.com
View Details

Currently working as a full-time researcher in Network Systems Laboratory focusing on real-time embedded systems, robotics, and process automation. Has knowledge and experience in various programming language, developing software application programs, and project management.

Publications

1. Sampedro GAR, Agron DJS, Amaizu GC, Kim D-S, Lee J-M. Design of an In-Process Quality Monitoring Strategy for FDM-Type 3D Printer Using Deep Learning. Applied Sciences. 2022; 12(17):8753. https://doi.org/10.3390/app12178753

International Conferences

1. Sampedro, G. A. R., Floresta, C. K., Villaverde, J. F., Lee, J. M., & Kim, D. S. (2020, October). Smart Device for Ice Fission Determination using Fourier’s Law on ATMega328P. In 2020 International Conference on Information and Communication Technology Convergence (ICTC) (pp. 1877-1879). IEEE.

2. Sampedro, G. A., Putra, M. A. P., Kim, D. S., & Lee, J. M. (2021, December). 3D Printer State Prediction: A Deep Learning Model Approach. In 2021 1st International Conference in Information and Computing Research (iCORE) (pp. 135-138). IEEE.

3. Sampedro, G. A., Kim, R. G. C., Aruan, Y. J., Kim, D. S., & Lee, J. M. (2021, December). Noise Filtering Mobile Application for Speech Enhancement using a Redundant Convolutional Encoder-Decoder. In 2021 1st International Conference in Information and Computing Research (iCORE) (pp. 34-38). IEEE.

4. Sampedro, G. A., Agron, D. J., Kim, R. G., Kim, D. S., & Lee, J. M. (2021, December). Fused Deposition Modeling 3D Printing Fault Diagnosis using Temporal Convolutional Network. In 2021 1st International Conference in Information and Computing Research (iCORE) (pp. 62-65). IEEE.

5. Sampedro, G. A., Kim, R. G. C., Aruan, Y. J., Kim, D. S., & Lee, J. M. (2021, December). Smart E-Waste Bin Development Based on YOLOv4 Model. In 2021 1st International Conference in Information and Computing Research (iCORE) (pp. 125-128). IEEE.

6. Aruan, Y. J., Daely, P. T., Sampedro, G., Lee, J. M., & Kim, D. S. (2021, October). The Design of The Emerging 5G Using Hybrid GPON and XGS-PON Technology. In 2021 International Conference on Information and Communication Technology Convergence (ICTC) (pp. 1002-1004). IEEE.

7. Sampedro, G.A., Agron, D.J., Huyo-a, S.L., Kim, D-.S., Lee, J-.L. (2022, August). 3D Printer State Monitoring Mobile Application through a Deep Learning Approach, In The 7th International Symposium on Advanced Control of Industrial Processes (AdCONIP 2022).

8. Sampedro, G.A., Putra, M.A.P., Rachmawati, S.M., Kim, D-.S., Lee, J-.L. (2022, September). Machine Learning-Based Fault Monitoring on a Digital Twin-Enabled System for Additive Manufacturing, In The 1st International Conference on Maritime IT Convergence 2022 (ICMIC 2022).

9. Sampedro, G.A., Rachmawati, S.M., Ugli, K.S.D., Kim, D-.S., Lee, J-.L. (2022, October). SimuPrint: A Printing Path Simulation Tool for Additive Manufacture, In 2022 13th International Conference on Information and Communication Technology Convergence (ICTC 2022).

10. Sampedro, G.A., Manaig, R., Manaig, P., Abisado, M., Kim, D-.S., Lee, J-.L. (2022, October). An Overview of Opportunities and Challenges of Edge Computing in Smart Manufacturing, In 2022 13th International Conference on Information and Communication Technology Convergence (ICTC 2022).

11. Putra, M.A.P., Verana, M., Sampedro, G.A., Kim, D-.S., Lee, J-.L. (2022, October). 3DFed: A Secure Federated Learning-based System for Fault Detection in 3D Printer Industry, In 2022 13th International Conference on Information and Communication Technology Convergence (ICTC 2022).

Domestic Conferences

1. G.A. Sampedro, Y.J. Aruan, J.-M. Lee, D.-S. Kim, "Design of an Enhanced Object Detection Algorithm through Image Scaling", 한국통신학회 학술대회논문집, pp.1366-1367, (2021).

2. Agron, D. J. S., Sampedro, G. A. R., Amaizu, G., Lee, J. M., & Kim, D. S. (2021). Design of a Fault-Detection System for FDM-type 3D Printer using Temporal Convolutional Network. 한국통신학회 학술대회논문집, 280-281.

3. G.A. Sampedro, S. Japay, A. Cacatian, J. Dumlao, J.-M. Lee, D.-S. Kim, "Real-Time Mobile Application Based Noise Filtering System for Speech Amplification using a Redundant Convolutional Encoder-Decoder", 한국통신학회 학술대회논문집, pp.1162-1163, (2021).

4. G. A. Sampedro, S. M. Rachmawat, M. Verana, J.-M. Lee and D.-S. Kim, "Design and Implementation of a Printing Path Simulator for Additive Manufacturing", 한국통신학회 학술대회논문집, (2022).

View Details
Name	Mohtasin Golam
Research Area	Energy harvesting, Deep learning, Machine learning, Blockchain
담당과목	Anti-Drome, Deep learning, UAV communication
Education	PhD Candidate, Dept. of IT Convergence, Kumoh National Institute of Technology, South Korea (2021.03 - Present) M.Sc in IT Convergence, Kumoh National Institute of Technology (2019.03 - 2021.02) B.Sc in Electrical and Electronic Engineering, Rajshahi University of Engineering and Technology(RUET) (2014.02- 2018.10)
cellular phone	010-5108-9508
e-mail	gmoh248@gmail.com; golam248@kumoh.ac.kr

- Biography -

Mohtasin Golam is a PhD student at Department IT Convergence, Kumoh National Institute of Technology, Republic of Korea. He received his B.Sc degree in Electrical and Electronics Engineering (EEE) in 2018 and his M.Sc in IT Convergence from Kumoh National Institute of Technology. At present, he is working with Network System Laboratory (NSL) as a Research Assistant. His research interests are Deep learning, Image processing, Energy harvesting, UAV networks, IoT and Blockchain.

- Journal -

1. Mohtasin Golam, Rubina Akter, Jae Min Lee, and Dong-Seong Kim, "A Long Short-Term Memory-Based Solar Irradiance Prediction Scheme Using Meteorological Data", IEEE Geoscience and Remote Sensing Letters, pp. 1-5, September 2021. DOI: 10.1109/LGRS.2021.3107139.

- International Conference -

1. Mohtasin Golam, Ikechi Saviour Igboanusi, Jae-Min Lee and Dong-Seong Kim, "Reliable Communication using Orbital Angular Momentum with SWIPT for Military Networks", 10th International Conference on ICT Convergence (ICTC), October 16-18, 2019, Jeju Island, South Korea.

2. Mohtasin Golam, Jae-Min Lee and Dong-Seong Kim, " A UAV-assisted Blockchain Based Secured Device-to-Device Communication in Internet of Military Things", 11th International Conference on ICT Convergence (ICTC), October 21-23, 2020, Jeju Island, South Korea.

3. Mohtasin Golam, Rubina Akter, Jae Min Lee, and Dong Seong Kim, "Energy Efficient Drone Deployment with Optimized Path-planning in Post-Disaster Environment", 12th International Conference on Information and Communication Technology Convergence (ICTC), 2021, Jeju Island, South Korea, October 20-22.

4. Rubina Akter, Mohtasin Golam, Jae Min Lee, and Dong Seong Kim, "Doppler Radar-based Real-Time Drone Surveillance System Using Convolution Neural Network", 12th International Conference on Information and Communication Technology Convergence (ICTC), 2021, Jeju Island, South Korea, October 20-22.

- Domestic Conference -

1. Mohtasin Golam, Jae-Min Lee, and Dong-Seong Kim, " Enhancement of Security Constraints in UAV-assisted IoT Deployment Using Blockchain Technology in Military Operations", 2020 Fall Conference on Korea Institute of Communication Sciences (KICS), Nov. 13, 2020, Online, South Korea.

2. Mohtasin Golam, Rubina Akter, Jae Min Lee, and Dong Seong Kim, "A Machine Learning-based Energy Prediction Scheme for Energy-Harvesting Base Station", 2021 Winter Conference Korean Institute OF Communication Sciences (KICS), February 3-5, Yong Pyong Resort, Jeongsun Kun, Gangwon Province.

3. Rubina Akter, Mohtasin Golam, Jae Min Lee, and Dong Seong Kim, "Deep Learning Technique Assisted Unauthorized Target Localization of C4I Communication Network Using Blockchain Technology", KICS Winter 2021, High 1 Resort, Jeongsun Kun, Gangwon Province.

4. Rubina Akter, Mohtasin Golam, Jae-Min Lee, and Dong-Seong Kim, "Optimized Trickle Scheme for Low Power Lossy Network in Industrial Internet of Things", 2020 Korean Institute of Communication and Sciences (KICS) Summer Conference, August 12-14, 2020, Yong Pyong Resort, Pyeongchang, Gangwon Province, Korea.

5. Simeon Okechukwu Ajakwe, Rubina Akter, Mohtasin Golam, Dong Seong Kim, and Jae Min Lee," Deep Learning Model For Real-Time Drone Detection and Classification in Military Reconnaissance Operation", KICS Fall Conference 2021, November 17-19, 2021, Yeosu, Korea.

6. Simeon Okechukwu Ajakwe, Rubina Akter, Da Hye Kim, Mohtasin Golam, Dong Seong Kim, Jae Min Lee," Anti-Drone Systems Design: Safeguarding Airspace through Real-Time Trustworthy AI Paradigm ", 2nd Korea Artificial Intelligence Conference (AI 2021), September 29 - October 1, 2021, Jeju Island.

-Social Media-

https://www.researchgate.net/profile/Golam-Mohtasin

https://scholar.google.com/citations?hl=en&user=otDoq28AAAAJ

View Details
Name	Ali Aouto
Research Area	Deep learning, Computer Vision and Image Processing
Education	PhD Candidate, Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea (3.2021 - present) M.Sc. in IT Convergence Engineering from Kumoh National Institute of Technology, Gumi, South Korea (03.2019 - 02.2021) B.Sc. Dept. of Communication and Electronics Engineering, Qassim University, Saudi Arabia (09.2009 - 01.2015)
cellular phone	010-4191-5880
e-mail	ali.aouto@kumoh.ac.kr, ali.aouto1@gmail.com

- Biography -

Ali Aouto is currently a PhD Student and full time researcher at Networked System Laboratory, IT Convergence Engineering at Kumoh National Institute of Technology Gumi, South Korea. He received his MSc in IT convergence engineering, Kumoh National Institute of Technology, South Korea in Feb 2021. He received his BSc degree in Electrical, Communications and Electronics Engineering Department, at Qassim University in Saudi Arabia 2015. His research interests are Deep learning, Computer Vision and Image Processing.

-International Journals -

Ann Janeth Garcia, Ali Aouto, Thien Huynh-The, Jae-Min Lee and Dong-Seong Kim, "CNN-32DC: An improved radar-based drone recognition system based on Convolutional Neural Network", ICT Express, 19 May 2022. https://doi.org/10.1016/j.icte.2022.04.012

-International Conference -

Ali Aouto, Thien Huynh-The, Jae-Min Lee and Dong-Seong Kim, "Pose-Based Identification Using Deep Learning for Military Surveillance Systems", The 10th International Conference on ICT Convergence October 2019, Jeju Island, Korea.

Ali Aouto, Jae-Min Lee and Dong-Seong Kim, "UAV Detection Using Split-Parallel CNN For Surveillance Systems", The 12th International Conference on ICT Convergence October 2021, Jeju Island, Korea

-Domestic Conference -

Ali Aouto, Jae-Min Lee and Dong-Seong Kim, " UAV Radar-based Classification Using CNN for Surveillance Systems" JCCI 2022, Sokcho, South Korea, April 2022.

Ali Aouto, Jae-Min Lee and Dong-Seong Kim, " Demand Responsive Transportation System for Low-Demand Parts of Metropolitan Area " KICS Summer Conference 2021, Jeju Island, South Korea, June 2021.

Ali Aouto, Jae-Min Lee and Dong-Seong Kim, " Split CSPDenseNet for Vision-Based UAV Classification in Heavily Deployed Surveillance Systems " KICS Winter Conference 2021, Yongpyeong, South Korea, February 3-5, 2021.

Ali Aouto, Jae-Min Lee and Dong-Seong Kim, "Gait Features Extraction Technique for Identity Detection Using CNN for Surveillance Systems", KICS Summer Conference 2020, Yongpyeong, South Korea, August 12-14, 2020.

Ali Aouto, William-Paul Nwadiugwa, Jae-Min Lee and Dong-Seong Kim, "Intrusion Detection using Deep Learning Technique for Industrial SDN", 2019 KICS Summer Conference, , South Korea.

https://scholar.google.com/citations?user=h4DGDc0AAAAJ&hl=en&oi=sra

https://www.researchgate.net/profile/Ali_Aouto

Brief Resume
Name	Love Ahakonye
Research Area	Real-Time network systems in Industrial IoT
Education	Ph.D. Candidate, Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, SOUTH KOREA.(2021.03 - Present) MSc IT, Information Technology, Federal University of Technology, Nigeria. (2014 - 2016). B.Sc., Dept. of Mathematics/Computer Science, University of Port Harcourt, Nigeria. (1996 - 2001).
Phone	+234818574703
cellular phone	010-5150-7704
e-mail	loveahakonye@kumoh.ac.kr, vital_love2000@yahoo.com
View Details

Love Allen Chijioke Ahakonye is a Ph.D. student and full-time researcher with Networked Systems Lab. since March 2021. She holds an MSc in Information Technology from the Federal University of Technology, Nigeria, in 2016. In 2001, she got a B.Sc. in Mathematics/Computer Science from the University of Port Harcourt, Nigeria. She has over a decade of working experience in the Nigerian oil and gas sector as a Network and System Administrator from 2002 to 2016. In 2017, she briefly worked as a Logistics Superintendent with the Nigerian Petroleum Development Company until 2019. Her research interest is artificial intelligence (AI) application to IIoT SCADA for intrusion/anomaly detection, cyber-security, fault detection, and manufacturing execution system.

INTERNATIONAL JOURNALS

J1. Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, and Dong-Seong Kim, "Efficient Classification of Enciphered SCADA Network Traffic in Smart Factory using Decision Tree Algorithm," IEEE Access, Vol. 9, pp. 154892-154901, November 13, 2021, 10.1109/ACCESS.2021.3127560.

J2. Ahmad Zainudin, Love Allen Chijioke Ahakonye, Rubina~Arkter, Dong-Seong Kim and Jae-Min Lee, "An Efficient Hybrid-DNN for DDoS Detection and Classification in Software-Defined IIoT Networks," August 08, 2022, 10.1109/JIOT.2022.3196942, Print ISSN: 2327-4662, Online ISSN: 2327-4662

J3. Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, and Dong-Seong Kim, "SCADA Intrusion Detection Scheme Exploiting the Fusion of Modified Decision Tree and Chi-Square Feature Selection," Elsevier Internet of Things, Vol. 21, pp. 100676, April 2023, 10.1016/j.iot.2022.100676.

J4. Cosmas Ifeanyi Nwakanma, Love Allen Chijioke Ahakonye, Judith Nkechinyere Njoku, Jacinta Chioma Odirichukwu, Stanley Adiele Okolie, Chinebuli Uzondu, Christiana Chidimma Ndubuisi Nweke and Dong-Seong Kim, "Explainable Artificial Intelligence (XAI) for Intrusion Detection and Mitigation in Intelligent Connected Vehicles: A Review," MDPI Applied Sciences, 13(3), 1252, January 17, 2023, 10.3390/app13031252

J5. Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, and Dong-Seong Kim, "Agnostic CH-DT Technique for SCADA Network High-Dimensional Data-Aware Intrusion Detection System," IEEE Internet of Things (Early Access), January 18, 2023, 10.1109/JIOT.2023.3237797, Print ISSN: 2327-4662, Online ISSN: 2327-4662

DOMESTIC JOURNALS

J1. Made Adi Paramartha Putra, Love Allen Chijioke Ahakonye, Mark Verana, Dong Seong Kim, Jae Min Lee, "다중 블록 2D-컨볼루션 신경망을 이용한 효율적인 3D 프린터 출력 결함 분류 기법" (Efficient 3D Printer Fault Classification using Multi-Block 2D-Convolutional Neural Network), Journal of KICS, November 9, 2021, 10.7840/kics.2022.47.2.236.

INTERNATIONAL CONFERENCES

C10. Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Made Adi Paramartha Putra, Augustin Gohil, Jae-Min Lee and Dong-Seong Kim, "Optimal Tree Bayesian for the Characterization of Ciphered Network Communication Traffic," The 5th International Conference on Artificial Intelligence in Information and Communication (ICAIIC 2023), Bali, Indonesia, 2023.02.20-23

C9. Made Adi Paramartha Putra, Syifa Maliah Rachmawati, Revin Naufal Alief, Love Allen Chijioke Ahakonye, Augustin Gohil, Dong-Seong Kim, and Jae-Min Lee "Federated Learning-Enabled Digital Twin for
Smart Additive Manufacturing Industry," The 5th International Conference on Artificial Intelligence in Information and Communication (ICAIIC 2023), Bali, Indonesia, 2023.02.20-23

C8. Cosmas Ifeanyi Nwakanma, Love Allen Chijioke Ahakonye, Judith Nkechinyere Njoku, Joy Eze, and Dong-Seong Kim, "Effective Industrial Internet of Things Vulnerability Detection using Machine Learning," 5th IEEE Conference on Information Technology for Education and Development (ITED 2022, Nile University, Abuja, Nigeria, 2022.11.01-03)

C7. Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, and Dong-Seong Kim, "Time-Efficient Deep Learning-Based Energy Consumption Prediction for Smart Factory," The 13th International Conference on Information and Communication Technology Convergence (ICTC 2022), Ramada Plaza Hotel, Jeju Island, 2022.10.19-21, pp. 879-882, doi: 10.1109/ICTC55196.2022.9952984.

C6. Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, and Dong-Seong Kim, "RQGPR: Rational Quadratic Gaussian Process Regression for Attack Detection in the SCADA Networks," The 27th Asia-Pacific Conference on Communications (APCC 2022), Ramada Plaza Hotel, Jeju Island, 2022.10.19-21, pp. 595-600, doi: 10.1109/APCC55198.2022.9943564.

C5. Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, and Dong-Seong Kim, "FED-MARINE: Federated Learning Framework for DDoS Detection and Mitigation in Maritime-SCADA Network," The 1st International Conference on Maritime IT Convergence (ICMIC 2022, Sono Calm, Jeju Island, 2022.09.22-23)

C4. Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Simeon Okechukwu Ajakwe, Jae-Min Lee and Dong-Seong Kim, "Countering DNS Vulnerability to Attacks Using Ensemble Learning," The 4th International Conference on
Artificial Intelligence in Information and Communication (ICAIIC 2022), Jeju Island, 2022.02.21-24, pp. 007-010, doi: 10.1109/ICAIIC54071.2022.9722641.

C3. Simeon Okechukwu Ajakwe, Rubina~Arkter, Love Allen Chijioke Ahakonye, Dong-Seong Kim, Jae-Min Lee, "Real-Time Monitoring of COVID-19 Vaccination Compliance: A Ubiquitous IT Convergence Approach", The 12th International Conference on Information and Communication Technology Convergence (ICTC 2021), Jeju Island, Korea, October 20-22, 2021, pp. 440-445, doi: 10.1109/ICTC52510.2021.9620806.

C2. Cosmas Ifeanyi Nwakanma, Love Allen Chijioke Ahakonye, Jae-Min Lee and Dong-Seong Kim, "Selecting Gaussian Process Regression Kernels for IoT Intrusion Detection and Classification," 12th International Conference on Information and Communication Technology Convergence (ICTC 2021), Jeju Island, Korea, October 20-22, 2021, pp. 462-465, doi: 10.1109/ICTC52510.2021.9621145.

C1. Love Allen Chijioke Ahakonye, Gabriel Chukwunonso Amaizu, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, and Dong-Seong Kim, "Enhanced Vulnerability Detection in SCADA Systems using Hyper-Parameter-Tuned Ensemble Learning," The 12th International Conference on Information and Communication Technology Convergence (ICTC 2021), Jeju Island, Korea, October 20-22, 2020, pp. 458-461, doi: 10.1109/ICTC52510.2021.9620215.

DOMESTIC CONFERENCES

C13. Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Taesoo Jun, Jae-Min Lee, Dong-Seong Kim, "A Multi-Stack LSTM-Assisted Inventory Management for the Manufacturing Execution System," 2022 KICS Fall Conference, Lahan Select Hotel, Gyeongju, Korea, Vol 79 pp. , November 16-18, 2022.

C12. Cosmas Ifeanyi Nwakanma, Love Allen Chijioke Ahakonye, Judith Nkechinyere Njoku, Jae-Min Lee, and Dong-Seong Kim, "Failure Threshold-Aware Battery SoC Estimation using Machine Learning," 2022 KICS Fall Conference, Lahan Select Hotel, Gyeongju, Korea, Vol 79 pp. , November 16-18, 2022.

C11. Md Javed Ahmed Shanto, Love Allen Chijioke Ahakonye, Ahmad Zainudin, Jae-Min Lee, Dong-Seong Kim, Taesoo Jun, "An Exploratory Deep Learning-Based Inventory Management Solution in the Manufacturing Execution System," 2022 KICS Fall Conference, Lahan Select Hotel, Gyeongju, Korea, Vol 79 pp. , November 16-18, 2022.

C10. Fatima Tuj Zohora, Love Allen Chijioke Ahakonye, Jae-Min Lee and Dong-Seong Kim, Taesoo Jun, "Analysis of Artificial Intelligence Perspective in Inventory Management," 2022 KICS Fall Conference, Lahan Select Hotel, Gyeongju, Korea, Vol 79 pp. , November 16-18, 2022.

C9. Love Allen Chijioke Ahakonye, JaeHyun Lee, Cosmas Ifeanyi Nwakanma, Jae-Min Lee and Dong-Seong Kim, "Ensemble Optimization for the Classification of Encoded Network Traffic Communication", 3rd Korea Artificial Intelligence Conference - koreaai.org 2022, Shilla Stay, Jeju Island, Korea, September 28-29, 2022.

C8. Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, and Dong-Seong Kim, "CHI+DTC-Based Feature Selection for Low Computational Cost IIoT Intrusion Detection," 2022 Korean Institute of Communications and Information Sciences Summer Conference- KICS Summer 2022, Grand Hyatt Hotel, Jeju Island, Korea, Vol 78 pp. 479-480, June 22-24, 2022.

C7. Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Made Adi Paramartha Putra, Mark Verana, Khurboev Shakhzodbek, Jae-Min Lee and Dong-Seong Kim, "Deep Learning Anomaly Detection in Additive Manufacturing Process of a Smart Factory," 2022 Korean Institute of Communications and Information Sciences Winter Conference- KICS Winter 2022, Alpensia Resort, Pyeonchang, Korea, Vol. 77, pp. 1021-1023, 9-11 February 2022.

C6. Cosmas Ifeanyi Nwakanma, Ahmad Zainudin, Love Allen Chijioke Ahakonye, Goodness Oluchi Anyanwu Jae-Min Lee and Dong-Seong Kim, "Reliability Analysis of Modified Random Forest Model for Activity detection using F-Test," 2022 Korean Institute of Communications and Information Sciences Winter Conference- KICS Winter 2022, Alpensia Resort, Pyeongchang, Gangwon Province, Korea, Vol. 77, pp. 1112-1113, 9-11 February 2022.

C5. Mark Verana, Made Adi Paramartha Putra, Love Allen Chijioke Ahakonye, Dong-Seong Kim, and Jae-Min Lee, "Intelligent Fault Classification of 3D Printers Using Long Short-Term Memory", 2022 Korean Institute of Communication and Sciences (KICS 2022) Winter Conference, 2022, Alpensia Resort, Pyeonchang, Korea, Vol. 77, pp. 1026-1027, 9-11 February 2022.

C4. Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, and Dong-Seong Kim, "Improving Machine Learning Reliability using Trees Optimization for Attack Detection on SCADA Network," 2021 Korean Institute of Communications and Information Sciences Summer Conference- KICS Fall 2021, Yeosu, Korea, Vol. 76, pp. 109-110, 17-19 November 2021.

C3. Love Allen Chijioke Ahakonye, Cosmas
Ifeanyi Nwakanma, JaeHyun Lee, Jae-Min Lee and Dong-Seong Kim, ``Evaluating
Artificial Intelligence Mitigation Techniques for Countering Attack on Smart
Factory SCADA Network", 2nd Korea Artificial Intelligence
Conference- koreaai.org 2021, Jeju Island, Korea, September 29 - October
1, 2021, pp. 206-207

C2. Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Jae-Min Lee and Dong-Seong Kim, "Machine Learning Algorithms for Security and Vulnerability Detection in SCADA Systems," 31st Joint Conference on Communications and Information - JCCI 2021, Haeundae Park Hyatt Hotel, Busan, Korea, Vol. 31, 28-30, April 2021.

C1. Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, and Dong-Seong Kim, "Anomaly Detection of Malicious Energy usage in Smart Factories using Deep Neural Network," 2021 Korean Institute of Communications and Information Sciences Summer Conference- KICS Summer 2021, Jeju Island, Korea, Vol. 75, 16-18 June 2021, pp. 1349 - 1350.

Social Media:

Google Scholar: https://scholar.google.com/citations?hl=en&user=a8i6Pq0AAAAJ

Researchgate: https://www.researchgate.net/profile/Ahakonye-Lac

LinkedIn: https://www.linkedin.com/in/love-ahakonye-bsc-msc-phd-in-view-mcpn-mieee-1226a9b/

Publons: https://publons.com/researcher/4716537/love-allen-chijioke-ahakonye/

Email:loveahakonye@kumoh.ac.kr, vital_love2000@yahoo.com

View Details
Name	Made Adi Paramartha Putra
Research Area	Federated Learning, Deep Learning, Additive Manufacturing, Industrial IoT, Named Data Network
Education	Ph.D., Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, South Korea (03.2021 - present) M.Eng., Telematics and Telecommunication Network, Bandung Institute of Technology, Bandung, Indonesia(2017-2019). B.Eng., Telecommunication Engineering, Telkom University, Bandung, Indonesia (2013-2017).
Phone	010-7328-7846
e-mail	mdparamartha95@kumoh.ac.kr

-------------------------------------------------------------------------------------

- Biography -

Made Adi Paramartha Putra is Ph.D. student and full time researcher at Networked System Laboratory, IT Convergence Engineering in Kumoh National Institute of Technology, Gumi, Republic of South Korea. He received his B.S degree in Telecommunication Engineering from Telkom University Indonesia in 2017. He later received his Master degree in Telematics and Telecommunication Network at Bandung Institute of Technology Indonesia in 2019. Before become a Ph.D. student, he is a lecturer in STMIK Primakara Bali. His research interests are Named Data Network, Real-time systems industrial network, Internet of Things, and Artificial Intelligence.

Google Scholar: https://scholar.google.co.id/citations?user=6yvqID4AAAAJ&hl=en

Research Gate: https://www.researchgate.net/profile/Made-Adi-Paramartha-Putra

GitHub: https://github.com/adiparamartha

--------------------------------------------------------------------------------------

- International Journal -

Made Adi Paramartha Putra, Dong-Seong Kim, and Jae-Min Lee, "Adaptive LRFU Replacement Policy for Named Data Network in Industrial IoT", ICT Express, SCIE, Q1, I.F = 4.317, October 2021, DOI: 10.1016/j.icte.2021.10.004
Made Adi Paramartha Putra, Adinda Riztia Putri, Ahmad Zainudin, Dong-Seong Kim, and Jae-Min Lee, "ACS: Accuracy-Based Client Selection Mechanism for Federated Industrial IoT", Elsevier Internet of Things Journal, SCIE, I.F = 5.711, December 2022, DOI: 10.1016/j.iot.2022.100657

- Domestic Journal -

Made Adi Paramartha Putra, Ahakonye Love Allen Chijioke, Mark Verana, Dong Seong Kim, Jae Min Lee, "다중 블록 2D-컨볼루션 신경망을 이용한 효율적인 3D 프린터 출력 결함 분류 기법" (Efficient 3D Printer Fault Classification using Multi-Block 2D-Convolutional Neural Network), Journal of KICS, November 2021.

- International Conferences -

Made Adi Paramartha Putra, Ade Pitra Hermawan, Dong-Seong Kim and Jae-Min Lee, “Energy Efficient-based Sensor Data Prediction using Deep Concatenate MLP, in 26th IEEE International Conf. on Emerging Tech. and Factory Automation (ETFA) 2021, Västerås-Sweden, 7-10 September 2021.
Made Adi Paramartha Putra, Dong-Seong Kim and Jae Min Lee, "DB-BiLSTM: Euclidean Distance-Based Sensor Data Prediction for IoT Applications", in 12th International Conference on ICT Convergence (ICTC 2021), Jeju Island, Korea, 20-22 October 2021.
Gabriel Avelino Sampedro, Made Adi Paramartha Putra, Jae-Min Lee, Dong-Seong Kim, "3D Printer State Prediction: A Deep Learning Model Approach", in International Conference in Information and Computing Research 2021, Philippines, 11-12 December 2021.
Made Adi Paramartha Putra, Dong-Seong Kim and Jae Min Lee, “Composite Multi-Directional LSTM for Accurate Prediction of Energy Consumption”. The 36th International Conference on Information Networking (ICOIN 2022), Jeju Island, South Korea, 12-15 January 2022.
Gabriel Avelino Sampedro, Made Adi Paramartha Putra, Syifa Maliah Rachmawati, Dong-Seong Kim, Jae-Min Lee, "Machine Learning-Based Fault Monitoring on a Digital Twin-Enabled System for Additive Manufacturing" The 1st International Conference on Maritime IT Convergence 2022 (ICMIC 2022), Jeju Island, Korea, September 21-22 , 2022
Yohana Jayanti Aruan, Made Adi Paramartha Putra, Adinda Riztia Putri, Philip Tobianto Daely, Dong-Seong Kim, "Backhaul Aggregator Design for Real-Time 3D Printer System", The 13th International Conference on ICT Convergence ICT (ICTC 2022), Jeju Island, Korea, Oct 19-21, 2022
Made Adi Paramartha Putra, Mark Verana, Gabriel Avelino Sampedro, Dong-Seong Kim, and Jae-Min Lee, "3DFed: A Secure Federated Learning-based System for Fault Detection in 3D Printer Industry", The 13th International Conference on ICT Convergence ICT (ICTC 2022), Jeju Island, Korea, Oct 19-21, 2022
Adinda Riztia Putri, Made Adi Paramartha Putra, Tae-Soo Jun, Jae Min Lee, Dong-Seong Kim, "Data Prediction-Based Virtual Sensor in Digital Twin Scenario using Deep Learning Approach", The 13th International Conference on ICT Convergence (ICTC 2022), Jeju Island, Korea, October 19-21, 2022

- Domestic Conferences -

Made Adi Paramartha Putra, Dong-Seong Kim and Jae-Min Lee, "Lightweight Multivariate LSTM
for Industrial Power Prediction in Smart Grid", Korean Institute of Communications and Information Sciences Summer Conference - KICS Summer 2021, 한국통신학회 학술대회논문집, Jeju Island, Korea, Vol. 75, 16-18 June 2021, pp. 1362-1363.
Made Adi Paramartha Putra, Mark Verana, Dong-Seong Kim, and Jae-Min Lee, "Fault Detection in 3D Printers using an Improved YOLOv5 with Hyperparameter Tuning", KICS Fall Conference, Yeosu, Korea, 17-19 November 2021
Mark Verana, Made Adi Paramartha Putra, Jae-Min Lee, Dong-Seong Kim, “5G Wireless 3D Printer Monitoring” KICS Fall Conference, Yeosu, Korea, 17-19 November 2021
Revin Naufal Alief, Muhammad Rasyid Redha, Mark Verana, Made Adi Paramartha Putra, Jae-Min Lee, and Dong-Seong Kim, “Performance Evaluation of 3D Printer Fault Detection Based on Machine Learning Approach", KICS Fall Conference, Yeosu, Korea, 17-19 November 2021
Mark Verana, Made Adi Paramartha Putra, Syifa Maliah Rachmawati, Gabriel Avelino Sampedro, Dong-Seong Kim, Jae Min Lee, "Edge Device Anomaly Detection of 3D Printers using Bidirectional LSTM", Korean Institute of Communications and Information Sciences (KICS Summer 2022) Conference, Grand Hyatt Hotel, Jeju Island, Korea, June 22-24, 2022
Mark Verana, Made Adi Paramartha Putra, Syifa Maliah Rachmawati, Dong-Seong Kim, and Jae-Min Lee, "3D Printing Anomaly Detection using Deep Learning", KICS Fall Conference, Lahan Select Hotel, Gyeongju, Korea, November 16-18, 2022

--------------------------------------------------------------------------------------

Networked Systems Laboratory

IT Convergence Engineering

Kumoh National Institute of Technology

South Korea

View Details
Name	Ahmad Zainudin
Research Area	Intrusion Detection System, Deep Learning, Federated Learning and Industrial IoT Vulnerabilities
Education	PhD Candidate Dept. of Electronic Engineering, Kumoh National Institute of Technology, Gumi, South Korea (9.2021 - present) M.Eng. Dept. of Electronic Engineering, Electronic Engineering Polytechnic Institute of Surabaya, Surabaya, Indonesia (11.2012 – 9.2014) B.Eng. Dept. of Telecommunication Engineering, Electronic Engineering Polytechnic Institute of Surabaya, Surabaya, Indonesia (8.2007 – 8.2011)
cellular phone	+8210-4480-89
e-mail	zai[at]kumoh.ac.kr

BIOGRAPHY:

Ahmad Zainudin is a PhD student in Electronic Engineering and full time researcher with Networked Systems Lab., Kumoh National Institute of Technology, Gumi, Korea since September 2021. He received the B.Eng and M.Eng in Telecommunication Engineering and Electrical Engineering from Electronic Engineering Polytechnic Institute of Surabaya, Indonesia in 2011 and 2014 respectively. He joined the Division of Telecommunication Engineering, Department of Electrical Engineering, Electronics Engineering Polytechnic Institute of Surabaya, Indonesia, as a lecturer, in 2012. His research interests include intrusion detection system, deep learning, federated learning and industrial IoT vulnerabilities.

PUBLICATIONS:

.::INTERNATIONAL JOURNALS::.

IJ_1. Ahmad Zainudin, Love Allen Chijioke Ahakonye, Rubina Akter, Dong-Seong Kim, and Jae-Min Lee,"An Efficient Hybrid-DNN for DDoS Detection and Classification in Software-Defined IIoT Networks", IEEE Internet of Things Journal, (Early Access), August 2022, DOI: 10.1109/JIOT.2022.3196942

.::INTERNATIONAL CONFERENCES::.

IC_6. Ahmad Zainudin, Rubina Akter, Dong-Seong Kim, and Jae-Min Lee,"FedDDoS: An Efficient Federated Learning-based DDoS Attacks Classification in SDN-Enabled IIoT Networks", The 13th International Conference on ICT Convergence ICT (ICTC 2022), Oct 19-21, 2022, Jeju Island, Korea

IC_5. Rubina Akter, Mohtasin Golam, Ahmad Zainudin, Van-Sang Doan, and Dong-Seong Kim,"RF Signal-Based Multipurpose UAV Surveillance System Using Deep Neural Network", The 13th International Conference on ICT Convergence ICT (ICTC 2022), Oct 19-21, 2022, Jeju Island, Korea

IC_4. Ahmad Zainudin, Rubina Akter, Dong-Seong Kim, and Jae-Min Lee,"Towards Lightweight Intrusion Identification in SDN-based Industrial Cyber-Physical Systems", The 27th Asia-Pacific Conference on Communications (APCC 2022) Oct 19-21, 2022, Ramada Plaza Hotel, Jeju Island, Korea

IC_3. Ahmad Zainudin, Jung-Hyeon Kim, Dong-Seong Kim, and Jae-Min Lee,"Collaborative Learning for Cyber-Attacks Classification in Maritime Transportation Systems", International Conference on Maritime IT Convergence (ICMIC 2022), Sono Calm, Jeju Island, Korea, September 22-23, 2022

IC_2. Rubina Akter, Van-Sang Doan, Ahmad Zainudin, Dong-Seong Kim, "An Explainable Multi-Task Learning Approach for RF-based UAV Surveillance Systems", The 13th International Conference on Ubiquitous and Future Networks (ICUFN 2022), Barcelona, Spain, July 05-08, 2022

IC_1. Ahmad Zainudin, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim and Jae-Min Lee, "Design and Implementation of Low-Cost Fog Computing Architecture for IoT-Based Applications", 12th International Conference on Information and Communication Technology Convergence (ICTC 2021), Ramada Plaza Hotel, Jeju Island, Korea, October 20-22, 2021, pp. 810-813.

.::DOMESTIC CONFERENCES::.

DC_10. Ahmad Zainudin, Rubina Akter, Dong-Seong Kim, and Jae-Min Lee,"FedIoV: A Federated Learning-Assisted Intrusion Messages Detection in Internet of Vehicles", 2022 KICS Fall Conference, Lahan Select Hotel, Gyeongju, Korea, November 16-18, 2022

DC_9. Rubina Akter, Ahmad Zainudin, and Dong-Seong Kim,"Deep Learning Inspired Acoustic-based Underwater Object Detection and Localization", 2022 KICS Fall Conference, Lahan Select Hotel, Gyeongju, Korea, November 16-18, 2022

DC_8. Made Adi Paramartha Putra, Adinda Riztia Putri, Ahmad Zainudin, Dong-Seong Kim, and Jae-Min Lee,"Towards Accuracy-Aware Client Selection in Federated Learning", 2022 KICS Fall Conference, Lahan Select Hotel, Gyeongju, Korea, November 16-18, 2022

DC_7. Md Javed Ahmed Shanto, Love Allen Chijioke Ahakonye, Ahmad Zainudin, Jae-Min Lee, Dong-Seong Kim, and Taesoo Jun,"An Exploratory Deep Learning-Based Inventory Management Solution in the Manufacturing Execution System", 2022 KICS Fall Conference, Lahan Select Hotel, Gyeongju, Korea, November 16-18, 2022

DC_6. Ahmad Zainudin, Rubina Akter, Dong-Seong Kim, and Jae-Min Lee,"Privacy‐Preserving Federated Learning-based DDoS Classification for IIoT Networks", 2022 KICS Summer Conference, Grand Hyatt Hotel, Jeju Island, Korea, June 22-24, 2022

DC_5. Rubina Akter, Van-Sang Doan, Ahmad Zainudin, Dong-Seong Kim, "Explainable Grouped Convolution Neural Network Inspired Acoustic-based Mine Recognition for Underwater Surveillance System" KICS Summer Conference, Jeju, 22-24 June 2022

DC_4. Adinda Riztia Putri, Ahmad Zainudin, Goodness Oluchi Anyanwu, Tae-Soo Jeon, Jae Min Lee, Dong-Seong Kim, "Integrated Learning Emergency Detection using Non-Intrusive Multi-Sensor in Smart Spaces", Korean Institute of Communications and Information Sciences (KICS Summer 2022) Conference, Grand Hyatt Hotel, Jeju Island, Korea, June 22-24, 2022

DC_3. Ahmad Zainudin, Dong-Seong Kim and Jae-Min Lee, "A Lightweight Deep Learning-based Anomaly Detection and Classification in Software-Defined Industrial Network", 2022 Korean
Institute of Communications and Information Sciences Winter Conference - KICS Winter 2022, Alpensia Resort, Pyeongchang, Gangwon Province, Korea, Vol. 77, 9-11 February 2022.

DC_2. Cosmas Ifeanyi Nwakanma, Ahmad Zainudin, Love Allen Chijioke Ahakonye, Goodness Oluchi Anyanwu, Jae-Min Lee and Dong-Seong Kim, "Reliability Analysis of Modified Random Forest Model for Activity Detection using F-Test", 2022 Korean Institute of Communications and Information Sciences Winter Conference - KICS Winter 2022, Alpensia Resort, Pyeongchang, Gangwon Province, Korea, Vol. 77, 9-11 February 2022.

DC_1. Ahmad Zainudin, Adinda Riztia Putri, Goodness Oluchi Anyanwu, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim and Jae-Min Lee, "A Low Computational Cost Sensor-Based Human Activity Recognition using Hybrid LSTM in Edge Computing Environment", 2021 Korean Institute of Communications and Information Sciences Summer Conference- KICS Fall 2021, Yeosu, Korea, Vol. 76, 17-19 November 2021.

Social Media:

https://scholar.google.com/citations?hl=id&user=evJ_OBcAAAAJ

View Details
Name	Esmot Ara Tuli
Research Area	Real-Time network systems in Industrial IoT, Edge Computing in Industrial IoT
Education	Integrated Master’s & Doctoral Dept. of IT Convergence Engineering, Kumoh National Institute of Technology (03.2019 - present) B.Sc. in Computer Science and Engineering, Jatiya Kabi Kazi Nazrul Islam University, Bangladesh. (2012)
cellular phone	01034612009
e-mail	tuli.cse.bd@gmail.com

Esmot Ara Tuli is currently Integrated Master’s & Doctoral student and full time researcher at Networked System Laboratory in IT Convergence Engineering, Kumoh National Institute of Technology. Gumi, South Korea. Her research interest is in signal processing, MANET routing protocol and UAV.

INTERNATIONAL JOURNALS

Esmot Ara Tuli, Mohtasin Golam, Dong-Seong Kim and Jae-Min Lee, "Performance Enhancement of Optimized Link State Routing Protocol by Parameter Configuration for UANET", Drones 2022, Vol.6, Issue 1, DOI: 10.3390/drones6010022

INTERNATIONAL CONFERENCES

Esmot Ara Tuli, Dong-Seong Kim and Jae-Min Lee,"Latency Based Reliability Analysis for Naval Combat Systems", IEEE ICTC 2020, Jeju, South Korea, 2020 (A) (N8).
Esmot Ara Tuli, Dong-Seong Kim and Jae-Min Lee,"Performance Enhancement of UFMC Systems usin Kaiser Window Filter", 12th International Conference on Information and Communication Technology Convergence (ICTC), Jeju Island, South Korea, 2021, (N8), (N9), (N12).
Esmot Ara Tuli, Dong-Seong Kim and Jae-Min Lee, "Improved Partial Transmit Sequence Based PAPR Reduction of UFMC Systems" (ICOIN 2022), Jeju, South Korea, Jan 12-15, 2022 (N8, N9 and N12).

DOMESTIC CONFERENCES

Esmot Ara Tuli, Dong-Seong Kim and Jae-Min Lee,"SLAM Based Automated Industrial Emergency Rescue System Using RSSI", 2020 Fall Conference on Korean Institute Of Communication Science(KICS), Nov 13 2020, Online, South Korea(N8)
Esmot Ara Tuli, Dong-Seong Kim and Jae-Min Lee,"DDoS Detection in Industrial Internet of Things Using Machine Learning", 2021 Winter Conference on Korean Institute Of Communication Science(KICS), Feb3-5 2021, Online, South Korea(N8)(N12)
Esmot Ara Tuli, Dong-Seong Kim and Jae-Min Lee,"Performance Analysis of Clipping based PAPR Reduction Technique in UFMC System", 2nd Korea Artificial Intelligence Conference (AI 2021), September 29, October 1, 2021, Jeju Island, South Korea (N8), (N9), (N12).
Fabliha Bushra Islam, Cosmas Ifeanyi Nwakanma, Esmot Ara Tuli, Jae-Min Lee and Dong-Seong Kim, "Breathing Pattern Forecasting using Deep Learning in Smart Factory Environment", in 2021 Korean Institute of Communication and Sciences (KICS) Summer Conference, Ramada Plaza, Jeju Island, Korea, June 16-18, 2021

Social media:

1. ResearchGate: https://www.researchgate.net/profile/Esmot_Tuli
2. LinkedIn: https://www.linkedin.com/in/esmot-ara-tuli-a34a5670/
3. Email: tuli.cse.bd@gmail.com; esmot@kumoh.ac.kr;

View Details
Name	Hyeong Jin Kim
Research Area	Real-time Internet of Thing and Unmanned Aerial Vehicle
Education	PhD Candidate, Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea (9.2021 - present) M.S. Dept. of IT Convergence, Kumoh National Institute of Technology, Gumi, South Korea. ( 09.2019 - present). B.S. Dept. of Electronic Engineering, Kumoh National Institute of Technology(3.2014 - 08.2019)
Phone	010-5178-3236
e-mail	khj951007@naver.com

https://www.facebook.com/profile.php?id=100002137536109

- Biography -

He is a phD Candidate, Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, South Korea from 2021. He received Master's degree in Dept. of IT Convergence Engineering from the same university. His research interests are Middleware and UAV

-Domestic Conference -

1. Hyeong-Jin Kim, Jae-min Lee and Dong-Seong Kim, "Design of HVAC System in Vehicle by Analyzing Driver's usage Pattern based on Machine Learning", 2019 Summer Conference on Korea Institute Of Communication Sciences(KICS), pp. 1013-1014, Jeju Island, South Korea, June 19-21 2019. (Best paper Award)(N4)

2. Hyeong-Jin Kim, Dong-Seong Kim and Jae-Min Lee "Design of Technique on the Monitoring and Reconnaissance Route for UAV Based on AI"2019 fall Conference on Korea Institute Of Communication Sciences(KICS), Engineering Building, Kookmin University, South Korea, November 16, 2019. (N4, N9)

3. Hyeong-Jin Kim, Dong-Seong Kim and Jae-Min Lee, "Design and Performance Evaluation of Technique on the Mission Path Planning based on AI"2020 Korean Institute of Communication and Sciences (KICS) Summer Conference, , Yong Pyong Resort, Pyeongchang, Gangwon Province, Korea,August 12-14, 2020 (N12)

4. Hyeong-Jin Kim, Jae-Min Lee, and Dong-Seong Kim"Design of AI Based Overload Prediction Technique for Combat Systems Cluster", 2020 Fall Conference on Korea Institute Of Communication Sciences(KICS), Nov. 13, 2020, Online, South Korea(N8&N12)

5. Hyeongjin Kim, Jaemin Lee, BoKwang Suh and Dongseong Kim "Data Distribution Services for UAV-based Heterogeneous Wireless Sensor Networks", 2021 Winter Conference on Korea Institute Of Communication Sciences(KICS), Feb. 3-5, 2021, Yong Pyeong Resort, Pyeongchang, Korea(N8&N9&N12)

6. Hyeong Jin Kim, Jae-Min Lee and Dong-Seong Kim, "Data-Centric Middleware Analysis for Smart Factory," 2021 Korean Institute of Communication and Sciences (KICS) Summer Conference, Ramada Plaza, Jeju Island, Republic of Korea, June 16-18, 2021(N8,N9,N12))

View Details
Name	Minhui Jang
Research Area	Real-time System
Education	PhD. Candidate, Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea (9.2021 - present) M.S. Dept. of IT Convergence, Kumoh National Institute of Technology, Gumi, South Korea. (9.2019 - 8.2021) B.S. Dept. of Electronic Engineering Kumoh National Institute of Technology(3.2015 - 8.2019)
cellular phone	010-4320-0310
e-mail	jmhee@kumoh.ac.kr

- Biography -

Min-hui Jang is PhD Student of IT convergence engineering, Kumoh National Institute of Technology, Republic of Korea. She received MSc in 2021 and BSc degree at same school in 2019.

The research interests are wireless industrial networks, Edge computing and UAV.

- Publication -

1. 김시완, 장민희, 김동성, 이재민, "CSMA/CA를 적용한 백업 UAV 기반 Multi-UAV 네트워크 복구기법(Backup UAV-based Multi-UAV Network Recovery Scheme Applying CSMA/CA)", The Journal of Korean Institute of Communications and Information Sciences, pp. 261-268, vol. 47, no. 2, Feb. 2022

- Domestic Conference -

1. 장민희, 차중혁, 김동성, "산업용 장비의 기울기 측정 및 조절을 위한 어플리케이션 설계 및 구현(Application Design and Implementation for Inclination Measurement and Adjustment of Industrial Equipment)", 2017년도 전자정보통신 학술대회, pp. 129-132, 1. Dec, 2017

2. 장민희, 이재민, 김동성, "엣지 컴퓨팅 기반 스마트 해안경계 감지 시스템 설계 (Design of Smart Coastal Boundary Detection System Based on Edge Computing)", 2019 fall Conference on Korea Institute Of Communication Sciences(KICS), November 16, 2019.

3. Cosmas Ifeanyi Nwakanma, Md. Sajjad Hossain, Min-Hui Jang, Jae-Min Lee and Dong-Seong Kim, "Delay-Aware and Scalable Ethernet Network for Indoor Environment", 2020 Korean Institute of Communications and Information Sciences Winter Conference- KICS Winter 2020, pp. 1268-1271, February 5-7, 2020.

4. 장민희, 권기협, 이재민, 김동성, " 디지털 포렌식을 위한 엣지 컴퓨팅 기반 모바일 디바이스 검출 시스템 설계(Design of Smart Coastal Boundary Detection System Based on Edge Computing)" 2019 fall Conference on Korea Institute Of Communication Sciences(KICS), November 16, 2019.

5. 장민희, 이재민, 김동성,"재난 지역을 위한 OLSR 기반 중계 UAV 결함 감지 및 재배치 시스템 (OLSR-based Relay UAV Fault Detection and Relocation System for Disaster Areas)", 2020 Fall Conference on Korea Institute Of Communication Sciences(KICS), Nov. 13, 2020.

6. 장민희, 이재민, 김동성, "ICT기반 스마트 국방 물류창고의 자동화 시스템 연구 동향(Design of LTE/5G based smart logistics warehouse for munitions management)", 2021 Winter Conference on Korea Institute Of Communication Sciences(KICS), Feb. 3-5, 2021.

7. 장민희, 이재민, 김동성, "산업용 IoT의 데이터 보안성 향상을 위한 Raft 합의 알고리즘 기반 데이터 분산 서비스(Data Distribution Service based Raft Consensus Algorithm For Improving Data Security of Industrial IoT)", 2021 Summer Conference on Korea Institute Of Communication Sciences(KICS), June 16-18, 2021.

8. 장민희, 이재민, 김동성, "5G 환경의 산업용 IoT를 위한 스몰셀 기지국의 이중화 기법(Redundancy Scheme of Small Cell Base Station for Industrial IoT in 5G Environment)", 2021 Fall Conference on Korea Institute Of Communication Sciences(KICS), Nov. 17-19, 2021.

9. 유국남, 장민희, 이재민, 박규철, 김동성, "상용품 적용 및 3D 프린팅을 통한 군용장비 수리부속 설계 및 구현(Design and Implementation of Military Equipment Repair Parts with Commercial Products and 3D Printing)", 2022 Winter Conference on Korea Institute Of Communication Sciences(KICS), Feb. 517-518, 2022.

View Details
Name	Revin Naufal Alief
Research Area	Machine Learning, Real Time System, Wireless Communication, Signal Processing
Education	M.S. Dept. of IT Convergence, Kumoh National Institute of Technology (9.2021 - present) B.S. Dept. Of Telecommunication Engineering, Telkom University, Bandung, Indonesia (8.2016 – 2.2020)
cellular phone	+821098984046
e-mail	revinnaufalalief[at]gmail.com

Biography:

Revin Naufal Alief received his B.S. degree in Telecommunication Engineering from Telkom University in 2020. His research area interests are in Blockchain.

=INTERNATIONAL JOURNAL=

Ikechi Saviour Igboanusi, Allwinnaldo Allwinnaldo, Revin Naufal Alief, Muhammad Rasyid Redha Ansori, Jae-Min Lee, Dong-Seong Kim "Smart auto mining (SAM) for industrial IoT blockchain network", IET Communication, July 2022, DOI: https://doi.org/10.1049/cmu2.12465

=INTERNATIONAL CONFERENCE=

Revin Naufal Alief, Jae Min Lee, Dong-Seong Kim, Optimizing Multibit Spread Spectrum Audio Watermarking for Internet of Things, The 12th International Conference on ICT Convergence ICT (ICTC 2021), Jeju Island, Korea, Oct 20-22, 2021
Ikechi Saviour Igboanusi, Allwinnaldo, Revin Naufal Alief, Muhammad Rasyid Redha Ansori, Jae-Min Lee, Dong-Seong Kim, "Ethereum Based Storage Aware Mining for Permissioned Blockchain Network", 2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN 2022), Barcelona, Spain, 05-08 July 2022

=DOMESTIC CONFERENCE=

Revin Naufal Alief, Muhammad Rasyid Redha, Mark Verana, Made Adi Paramartha Putra, Jae-Min Lee, and Dong-Seong Kim, “Performance Evaluation of 3D Printer Fault Detection Based on Machine Learning Approach" 2021 Korean Institute of Communication and Sciences (KICS 2021) Fall Conference, November 17-19, 2021, Yeosu, Korea
Made Adi Paramartha Putra, Mark Verana, Revin Naufal Alief, Dong-Seong Kim, and Jae-Min Lee, "An Accurate 3D Printer Fault Detection using Improved YOLOv5", 2021 Korean Institute of Communication and Sciences (KICS 2021) Fall Conference, Yeosu, Korea, 17-19 November 2021
Mark Verana, Made Adi Paramartha Putra, Revin Naufal Alief, Jae-Min Lee, Dong-Seong Kim, “Machine Learning-based 3D Printer Fault Detection on Edge Device” 2021 Korean Institute of Communication and Sciences (KICS 2021) Fall Conference, Yeosu, Korea, 17-19 November 2021
Revin Naufal Alief, Muhammad Rasyid Redha Ansori, Allwinnaldo, Ikechi Saviour Igboanusi, Jae-Min Lee, and Dong-Seong Kim, "Smart Contract-based Payment and Luggage Tracking for Airline Industry", Korean Institute of Communications and Information Sciences (KICS Winter 2022), 9 - 11 February 2022, Gangwon Province, Korea,
Muhammad Rasyid Redha Ansori, Allwinnaldo, Revin Naufal Alief, Ikechi Saviour Igboanusi, Jae Min Lee, Dong-Seong Kim , "Duplicate Audio Data Detection Model Based on IPFS and Blockchain using Smart Contract", Korean Institute of Communications and Information Sciences (KICS Winter 2022), 9 - 11 February 2022, Gangwon Province, Korea
Allwinnaldo, Revin Naufal Alief, Muhammad Rasyid Redha Ansori, Ikechi Saviour Igboanusi, Jae-Min Lee, and Dong-Seong Kim, "Lightweight Project Bidding Smart Contract for Industial Sector on Ethereum Blockchain", Korean Institute of Communications and Information Sciences (KICS Winter 2022), 9 - 11 February 2022, Pyeongchang, Gangwon Province, South Korea.
Ikechi Saviour Igboanusi, Allwinnaldo, Revin Naufal Alief, Muhammad Rasyid Redha Ansori, Jae-Min Lee and Dong-Seong Kim, "Storage-Aware Mining for Blockchain Network", Korean Institute of Communications and Information Sciences (KICS Winter 2022), 9 - 11 February 2022, Gangwon Province, Korea
Revin Naufal Alief, Allwinnaldo, Muhammad Rasyid Redha Ansori, Ikechi Saviour Igboanusi, Jae Min Lee and Dong-Seong Kim, "Smart Contract-based Airline Ticket Reservation System", Korean Institute of Communications and Information Sciences (KICS Summer 2022), 22-24 June 2022, Jeju Island, South Korea.
Muhammad Rasyid Redha Ansori, Revin Naufal Alief, Allwinnaldo, Ikechi Saviour Igboanusi, Jae Min Lee and Dong-Seong Kim, "Genuine-assurance Scheme for Digital Assets Validation using Blockchain Technology", Korean Institute of Communications and Information Sciences (KICS Summer 2022), 22-24 June 2022, Jeju Island, South Korea.
Allwinnaldo, Revin Naufal Alief, Muhammad Rasyid Redha Ansori, Ikechi Saviour Igboanusi, Jae Min Lee and Dong-Seong Kim, "Smart Contract-based Solution for Secured Supply Chain Transaction", Korean Institute of Communications and Information Sciences (KICS Summer 2022), 22-24 June 2022, Jeju Island, South Korea.

Social Media:

Linkedin: https://www.linkedin.com/in/revin-naufal-alief-063687193//

View Details
Name	Allwinnaldo
Research Area	Blockchain Technology, Smart Contract Development, Non-Fungible Token (NFT), and Metaverse Technolog
Education	M.S. Dept. of IT Convergence, Kumoh National Institute of Technology (9.2021 - present) B.S. Dept. Of Telecommunication Engineering, Telkom University, Bandung, Indonesia (8.2016 – 2.2020)
cellular phone	+821073041407
e-mail	winnaldo@outlook.com

= Biography =

Allwinnaldo received his B.S. degree in Telecommunication Engineering from Telkom University in January 2020. During his bachelor's period, he focused on the Audio Signal Processing research area, and his Bachelor Thesis is about QIM-based Audio Watermarking that is Robust and Imperceptible. Following the new interest in the world's recent technological advances, now his research area interests are Blockchain Technology, Smart Contract Development, Non-Fungible Token (NFT), and Metaverse Technology.

Social Media :

Linkedin: https://www.linkedin.com/in/allwinnaldo/

Instagram: @_winnaldo or https://www.instagram.com/_winnaldo/

= Domestic Conference =

Allwinnaldo, Jae-Min Lee, Dong-Seong Kim, "MP3 Compression Robust Synchronized Audio Watermarking using QIM on Internet of Things", Korean Institute of Communications and Information Sciences (KICS Fall 2021), 17 - 19 November 2021, Yeosu, South Korea.
Allwinnaldo, Revin Naufal Alief, Muhammad Rasyid Redha Ansori, Ikechi Saviour Igboanusi, Jae-Min Lee, and Dong-Seong Kim, "Lightweight Project Bidding Smart Contract for Industial Sector on Ethereum Blockchain", Korean Institute of Communications and Information Sciences (KICS Winter 2022), 9 - 11 February 2022, Pyeongchang, Gangwon Province, South Korea.
Muhammad Rasyid Redha Ansori, Allwinnaldo, Revin Naufal Alief, Ikechi Saviour Igboanusi, Jae-Min Lee, Dong-Seong Kim , "Duplicate Audio Data Detection Model Based on IPFS and Blockchain using Smart Contract", Korean Institute of Communications and Information Sciences (KICS Winter 2022), 9 - 11 February 2022, Pyeongchang, Gangwon Province, South Korea.
Revin Naufal Alief, Muhammad Rasyid Redha Ansori, Allwinnaldo, Ikechi Saviour Igboanusi, Jae-Min Lee, and Dong-Seong Kim, "Smart Contract-based Payment and Luggage Tracking for Airline Industry", Korean Institute of Communications and Information Sciences (KICS Winter 2022), 9 - 11 February 2022, Pyeongchang, Gangwon Province, South Korea.
Ikechi Saviour Igboanusi, Allwinnaldo, Revin Naufal Alief, Muhammad Rasyid Redha Ansori, Jae-Min Lee and Dong-Seong Kim, "Storage-Aware Mining for Blockchain Network", Korean Institute of Communications and Information Sciences (KICS Winter 2022), 9 - 11 February 2022, Pyeongchang, Gangwon Province, South Korea.

View Details
Name	Muhammad Rasyid Redha Ansori
Research Area	Blockchain, Information and Security, Real-time Systems, and Machine Learning
Education	M.S. Dept. of IT Convergence, Kumoh National Institute of Technology (9.2021 - present) B.S. Dept. Of Telecommunication Engineering, Telkom University, Bandung, Indonesia (8.2016 – 2.2020)
cellular phone	+821086557812
e-mail	rasyidred@kumoh.ac.kr, rasyid.red@gmail.com

=BIOGRAPHY=

Muhammad Rasyid Redha Ansori earned his Bachelor's degree in Telecommunication Engineering from Telkom University, Indonesia in 2020. He is currently pursuing Master's degree in IT Convergence Engineering and is a researcher in the Kumoh National Institute of Technology's Networked System Laboratory in Gumi, South Korea. His research interests include blockchain, information and security, real-time systems, and machine learning.

Linkedin: www.linkedin.com/in/rasyidred/

=INTERNATIONAL JOURNAL=

Igboanusi, I.S., Allwinnaldo, A., Alief, R.N., Ansori, M.R.R., Lee, J.-M., Kim, D.-S.: Smart auto mining (SAM) for industrial IoT blockchain network. IET Commun. 00, 1– 10 (2022). https://doi.org/10.1049/cmu2.12465

=DOMESTIC CONFERENCE=

Muhammad Rasyid Redha Ansori, Jae Min Lee, Dong-Seong Kim, "Robust DWT-Based Audio Watermarking Against MP3 Compression", Korean Institute of Communications and Information Sciences (KICS Fall 2021), 17 - 19 November 2021, Yeosu, Korea
Revin Naufal Alief, Muhammad Rasyid Redha Ansori, Mark Verana, Made Adi Paramartha Putra, Jae-Min Lee, and Dong-Seong Kim, “Performance Evaluation of 3D Printer Fault Detection Based on Machine Learning Approach", Korean Institute of Communications and Information Sciences (KICS Fall 2021), 17 - 19 November 2021, Yeosu, Korea
Muhammad Rasyid Redha Ansori, Allwinnaldo, Revin Naufal Alief, Ikechi Saviour Igboanusi, Jae Min Lee, Dong-Seong Kim , "Duplicate Audio Data Detection Model Based on IPFS and Blockchain using Smart Contract", Korean Institute of Communications and Information Sciences (KICS Winter 2022), 9 - 11 February 2022, Gangwon Province, Korea
Ikechi Saviour Igboanusi, Allwinnaldo, Revin Naufal Alief, Muhammad Rasyid Redha Ansori, Jae-Min Lee and Dong-Seong Kim, "Storage-Aware Mining for Blockchain Network", Korean Institute of Communications and Information Sciences (KICS Winter 2022), 9 - 11 February 2022, Gangwon Province, Korea
Revin Naufal Alief, Muhammad Rasyid Redha Ansori, Allwinnaldo, Ikechi Saviour Igboanusi, Jae-Min Lee, and Dong-Seong Kim, "Smart Contract-based Payment and Luggage Tracking for Airline Industry", Korean Institute of Communications and Information Sciences (KICS Winter 2022), 9 - 11 February 2022, Gangwon Province, Korea
Allwinnaldo, Revin Naufal Alief, Muhammad Rasyid Redha Ansori, Ikechi Saviour Igboanusi, Jae-Min Lee, and Dong-Seong Kim, "Lightweight Project Bidding Smart Contract for Industial Sector on Ethereum Blockchain", Korean Institute of Communications and Information Sciences (KICS Winter 2022), 9 - 11 February 2022, Pyeongchang, Gangwon Province, South Korea.
Ikechi Saviour Igboanusi, Allwinnaldo, R. Naufal Alief, M. Rasyid Redha Ansori, J. -M. Lee and D. -S. Kim, "Ethereum Based Storage Aware Mining for Permissioned Blockchain Network," 2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN), 2022, pp. 161-166, doi: 10.1109/ICUFN55119.2022.9829669.
Muhammad Rasyid Redha Ansori, Revin Naufal Alief, Allwinnaldo, Ikechi Saviour Igboanusi, Jae Min Lee and Dong-Seong Kim, "Genuine-assurance Scheme for Digital Assets Validation using Blockchain Technology", Korean Institute of Communications and Information Sciences (KICS Summer 2022), 22-24 June 2022, Jeju Island, South Korea.
Revin Naufal Alief, Allwinnaldo, Muhammad Rasyid Redha Ansori, Ikechi Saviour Igboanusi, Jae Min Lee and Dong-Seong Kim, "Smart Contract-based Airline Ticket Reservation System", Korean Institute of Communications and Information Sciences (KICS Summer 2022), 22-24 June 2022, Jeju Island, South Korea.
Allwinnaldo, Revin Naufal Alief, Muhammad Rasyid Redha Ansori, Ikechi Saviour Igboanusi, Jae Min Lee and Dong-Seong Kim, "Smart Contract-based Solution for Secured Supply Chain Transaction", Korean Institute of Communications and Information Sciences (KICS Summer 2022), 22-24 June 2022, Jeju Island, South Korea.

View Details
Name	Vivian Ukamaka Ihekoronye
Research Area	Anti-Drone systems, Aerial Surveillance Systems , Real-Time Systems and Deep Learning algorithms
Education	MSc IT-Convergence Engineering, Kumoh National Institute Of Technology, Gumi, South Korea. (2021.09~present) B.Tech Information Management Technology, Federal University of Technology, Owerri, Nigeria. (2009-2014)
Phone	01026741987
e-mail	ihekoronyevivian@gmail.com

View Details
Name	Young June Kwon
Research Area	Edge computing, Machine learning
Education	M.S. Dept. of IT Convergence, Kumoh National Institute of Technology, Gumi, South Korea. ( 03.2022 - present). B.S. Dept. of Control and Robotics Engineering, Kumoh National Institute of Technology(03.2018 - 03.2022)
Phone	010-9019-5819
e-mail	all45654@naver.com

View Details
Name	Etobi Damian Tita
Research Area	Real-time systems in Industrial Internet of Things (IIOT)
Education	M.S Dept of Electronic Engineering, Kumoh National Institute of Technology, Gumi, South Korea. (09.2018 - 08.2020) B.Tech, Dept of Electrical and Electronic Engineering, College of Technology, University of Buea, Cameroon (09.2010 - 03.2014).
e-mail	tita@kumoh.ac.kr

Name	Amaizu Gabriel
Research Area	Machine Learning, IIoT
Education	M.S. Dept of IT convergence Engineering, Kumoh National Institute of Technology (09.2019 - 08.2021) B.Sc. Dept of Computer Science, Bangalore University, India (06.2014 - 06.2017)
e-mail	gabriel4amaizu@gmail.com

Brief Resume
Name	Judith Nkechinyere Njoku
Research Area	Data-driven Intelligent Transportation Systems, Battery Management Systems, Metaverse
담당과목	IT Convergence Engineering
Education	PhD Candidate, Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea (9.2022- present) M.Eng. Electronics Engineering, Kumoh National Institute of Technology, Gumi, South Korea (9.2019- 08.2021) B.Eng. Petroleum Engineering, Federal University of Technology, Owerri, Nigeria. (12.2009 – 12.2014) Professional Membership: -Institute of Electrical and Electronics Engineering (IEEE) - IEEE Young Professionals - IEEE Women In Engineering (WIE) - IEEE Graduate Student Member (Daejeon Section) - WomenTech Network - Global Ambassador - ToastMasters Daegu Section - SPE - Society of Petroleum Engineers Email: judithnjoku24@kumoh.ac.kr, judithnjoku24@gmail.com
e-mail	judithnjoku24@kumoh.ac.kr
View Details

View Details
Name	Paul Michael Custodio
Research Area	Power Systems, Computer Vision, Feature Engineering
Education	M.S. Dept. of Electronics Engineering, Kumoh National Institute of Technology, South Korea. (09.2022 - present) Bachelor of Science in Electrical Engineering, Mapúa University, (2014- 2019)
Phone	010-9550-2959
e-mail	pmbcustodio@kumoh.ac.kr

View Details
Name	Odinachi Udemezuo Nwankwo
Research Area	Blockchain (Distributed Ledger)
담당과목	IT Convergence Engineering
Education	MSc Candidate, Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea (9.2022 - present). B.Eng. Electrical and Electronic Engineering, Federal University of Technology Owerri. Nigeria (2008 -- 2014).
Phone	2348062444076
cellular phone	2348062444076
e-mail	odinachifoot@gmail.com, odinachi@kumoh.ac.kr

View Details
Name	Robin Matthew G. Medina
Research Area	Metaverse, Speech Recognition, Machine Learning
Education	M.S. Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, South Korea. (09.2022 - present) Bachelor of Science in Informationn Technology, 2015-2019
Phone	010-6694-9985
e-mail	robinmatthewgmedina@gmail.com

View Details
Name	Ebuka Nkoro
Research Area	Metaverse, Machine Learning , Cybersecurity
담당과목	IT Convergence Engineering
Education	MSc Candidate, Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea (8.2022 - present). B.Tech. Information Technology Department, Federal University of Technology Owerri, FUTO. Nigeria (2014 -- 2019). Professional Membership: Member Internet Society(ISOC).
Phone	01097068221
cellular phone	+234906657842
e-mail	nkorochinaechetam@gmail.com

View Details
Name	Izuazu Urslla Uchechi
Research Area	Internet of Medical Things
담당과목	IT Convergence Engineering
Education	MSc Candidate, Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea (9.2022 - present). B.Tech Information Technology, Federal University of Technology, Owerri 2009-2014
Phone	01044917715
cellular phone	01044917715
e-mail	uursla8@gmail.com

View Details
Name	Md Javed Ahmed Shanto
Research Area	Machine Learning, Artificial Intelligence, Machine Execution System
Education	M.s. Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea (9.2022- present) B.Sc. Computer Science and Engineering, International University of Business Agriculture and Technology,Dhaka, Bangladesh (01.2017 - 12.2020)
cellular phone	010-3095-9810
e-mail	shantoa729@gmail.com

View Details
Name	Mst Ayesha Khatun
Research Area	Machine Learning, Deep Learning, Image processing
Education	M.S student ,department of it convergence engineering,kumoh national institute of technology,gumi, south korea(2022-09 to present) B.Tech in information technology ,EIILM university,india(2015)
e-mail	ayesha.khatun.17dec@gmail.com

Name	Mohammed Abubakar Dini
Research Area	Deep Learning, Machine Learning, Metaverse
담당과목	IT Convergence Engineering
Education	M.S. Dept. of IT Convergence, Kumoh National Institute of Technology, South Korea (present) B.S. Dept. Of Mechatronics Engineering, International Islamic University Malaysia, Malaysia (graduated in 2022)

Name	Gifar Arif Haryadi
Research Area	Information and Security, Signal Processing, Machine Learning, Real-time Systems
담당과목	IT Convergence Engineering
Education	M.S. Dept. of IT Convergence, Kumoh National Institute of Technology (3.2023 - present) B.S. Dept. Of Telecommunication Engineering, Telkom University, Bandung, Indonesia (8.2016 – 2.2021)
e-mail	gifararifharyadi@ymail.com

Name	Md Facklasur Rahaman
Research Area	Machine Learning , Deep Learning , Artificial Intelligence
담당과목	IT Convergence Engineering
Education	M.S. Dept. of IT Convergence, Kumoh National Institute of Technology (3.2023 - present) B.Sc. Dept. of Electrical and Electronic Engineering, Rajshahi University of Engineering and Technology , Bangladesh (2016)
e-mail	facklasurrahaman@gmail.com

Name	Md Raihan Subhan
Research Area	AI, ML, IOT
담당과목	IT Convergence Engineering
Education	IT Convergence M.S. Dept. of IT Convergence, Kumoh National Institute of Technology (3.2023 - present) M.S. Dept. of Statistics , Jahangirnagar University (01,2020- 01,2022) B.Sc. Computer Science and Engineering, International University of Business Agriculture and Technology,Dhaka, Bangladesh (09,2014 - 08,2018)
e-mail	raihansubhan1994@gmail.com

Name	Lee Min Seon
Research Area	Real-time System, Machine learning
Education	M.S. Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea (3.2023 - present) B.S. Dept. of Electronic IT Convergence Major, Kumoh National Institute of Technology (3.2017 - 2.2023)
Phone	010-5043-6601
e-mail	zlxlrhdwn001@naver.com

Full-time Researchers

1. S.O. Ajakwe, Vivian Ukamaka Ihekoronye, and Dong-Seong Kim Jae Min Lee. "ALIEN: Assisted Learning Invasive Encroachment Neutralization for Secured Drone Transportation System”. Sensors 2023, 23(3), 1233; https://doi.org/10.3390/s23031233