연구위원
운영위원 및 연구위원- 연구위원
- 운영위원 및 연구위원
Dr. Tumennast Erdenebold
/ 교수 / AI연구실장
- tumennast@wsu.ac.kr
- Major : Computer Science Engineering & Information & Telecommunication Technology (Management)
- Education
- Ph.D. in Information & Telecommunication Technology, Korea Advanced Institute of Science and Technology (KAIST) , Daejeon, The Republic of Korea. (2018)
- MS. in Information & Telecommunication Technology, Korea Advanced Institute of Science and Technology (KAIST) , Daejeon, The Republic of Korea. (2014)
- BS in Computer Science, Software and Hardware Engineering (Dual Major), Mongolian University of Science and Technology, Computer Science and Management's School, Ulaanbaatar, Mongolia. (2006)
- TEACHING AREAS
- Generative AI, Understanding LLM, Large Language Model, Principles of Blockchain Technology, Information Security in Industry 4, AI for Business, Software Entrepreneurship, Web Analytics, Bigdata & Software Applications, The 4th Industrial Revolution & Digital Transformation, Management Information Systems, Computational Thinking & Programming, Logics and Web Software, Business Systems Applications, AI and Software Applications, Cryptocurrency and Blockchain Technologies, AI in Industry 4.0, Special Topics in Digital Economy, Information Technology Project Management, Research Methods in Social Sciences.
- RESEARCH AREAS
- Blockchain, Generative AI, Large Language Model (LLM), Digital Transformation, Enterprise Architecture, Social Media, m/e-Government, Innovation adoption & management, Technology Transfer & Commercialization, Computer Vision.
- Career
- Assistant Professor, AI & Bigdata Department, ECIS, Woosong University, Daejeon, Korea (2019-now)
- Post-Doctoral Researcher, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (2018-2019)
- Consultant, FarmaTrust Ltd, London, the United Kingdom. (2018)
- Head of Global Cooperation, BandZ Network Ltd, Toronto, Canada. (2017-2018)
- Regional Expert on Technology Transfer, The Global Commercialization Center (GCC), Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (2015-2018)
- Co-Founder and Secretariat, Mongolian e-Government Center (NGO) , Ulaanbaatar, Mongolia (2014-2019)
- Deputy Director, (former Officer), The Information, Communication, Technology and Post Authority, the Government Agency of Mongolia under Prime Minister. (2009-2012)
- Network Engineer & System Administrator, The Railcom Center, Mongolian Ulaanbaatar Railway Mongolia and Russian Joint Stock Company,, Ulaanbaatar, Mongolia. (2006-2009)
- Selected Publications
- Hao, L., & Erdenebold, T. (2025). Unveiling ChatGPT's Role as a Digital Assistant: A Systematic Literature Review on Workplace Training and Skill Development. Asia-Pacific Journal of Business, 16(1), 63-89.
- Wei, C., Fang, J., Xu, Z., Meng, J., Ye, Z., Wang, Y., & Erdenebold, T. (2025). YOLOv8‐ESW: An Improved Oncomelania hupensis Detection Model. Concurrency and Computation: Practice and Experience, 37(3), e8359.
- HuiJun, W., & Erdenebold, T. (2024). The Impact of Digital Transformation on Corporate Performance: Based on Shanghai and Shenzhen A-Share Listed Companies. Asia-Pacific Journal of Business, 15(3), 17-45.
- Erdenebold, T., Kim, S. K., Rho, J. J., & Hwang, Y. M. (2021). An Empirical Investigation of the Citizens' Freedom of Expression and Trust in Public Agency to use Social Media in Post-Communist Countries: The Case of Mongolia. Asia-Pacific Journal of Business, 12(1), 41-56.
- Erdenebold, T., Kim, S. K., Rho, J. J., & Hwang, Y. M. (2020). The effects of censorship and organisational support on the use of social media for public organizations in Mongolia. Asia-Pacific Journal of Business, 11(2), 61-79.
- Erdenebold, T., Rho, J. J., & Hwang, Y. M. (2019). Blockchain reference model and use case for supply chains within enterprise architecture. Journal of Information Technology and Architecture, 16(1), 1-10.
- Erdenebold, T. (2017). A Smart Government Framework for Mobile Application Services in Mongolia. In Securing Government Information and Data in Developing Countries (pp. 90-103). IGI Global Scientific Publishing.
- Selected Projects
- Post-Doc resercher in R&D project: “Study on Blockchain Technology Adoption in Public Sector” funded by Ministry of Science and ICT, the Government of Republic of Korea, and Korea Advanced Institute of Science and Technology (KAIST). (2018-2019)
- Consulted to project and pilot on “FarmaTrust Anti-Counterfeit Medicine Project using Blockchain and AI in Mongolia”, and coordinated with the Government of Mongolia. (2018)
- Coordinated Innovation & Technology Transfer projects between Mongolia and Korea: Smart Farm Cooperation Project. (2015-2017)
- Managed and implemented Mongolian nationwide projects: National Datacenter Project (2008-2009), The Extension and Innovation of Backbone network project (DWDM, IP/MPLS, SDH, 2011-2012), Mongolian Internet Exchange Renewal Project (2010-2011), Soum Center Access Internet Delivery Projects (2010-2012), The Ulaanbaatar city remote area wireless internet service deliveryproject (2011).
김태원 교수
- 33jgkim@hanmail.net
- 전공 : 디지털신호처리, RTOS 및 임베디드 SW, 이동 통신
- 강의 분야
- 컴퓨터 구조
- SW 특론
- 임베디드 시스템
- 디지털 신호 처리
- 이동통신
- 학위
- 석사 - 연세대학교, 공과대학원 디지털신호처리(DSP) 전공, 1988
- 학사 - 연세대학교, 전자공학과, 1986
- 강의과목
- 컴퓨터 구조, SW 특론
- 연구분야
- AI를 활용한 소프트웨어 엔지니어링 및 응용 어플리케이션 개발
- 주요경력
- 우송대학교 컴퓨터공학과 교수, 2025.3 ~ 현재
- 삼성전자 네트워크사업부 이동통신시스템 개발, 1994.11 ~ 2022.12
- 디지콤 연구소 ARS/VMS 소프트웨어 개발, 1989.1 ~ 1994.7
- 프로젝트
- 이동통신 기지국 관리를 위한 EMS SW 개발관리, 2018 ~ 2022
- 해외 연구소 과제 관리 및 GSM 개발, 2010~2017
- EV-DO, Wibro/WiMAX, LTE 등 데이터 이동통신 시스템 개발 (삼성전자 네트워크 사업부), 2001 ~ 2010
- IS-95A 및 CDMA2000 채널카드 소프트웨어 개발 (삼성전자 네트워크 사업부), 1994 ~ 2000
- RTOS 및 임베디드 파일 시스템을 활용한 음성 메일 시스템(VMS) 개발 (디지콤 연구소), 1992~1993
- 음성 응답 서비스 시스템 개발 (국내 700 서비스 개발 및 납품, 디지콤 연구소), 1991 ~ 1992
- 단파 수파수 대역에서 모르스 부호 코드 검출 과제 (ETRI 과제), 1989~1990
양현식 교수
- yanghs66@wsu.ac.kr
- 전공 : 인공지능
- 학위
- 석사 - 한양대학교 컴퓨터공학과, 1992
- 학사 - 한양대학교 수학과, 1990
- 강의과목
- 인공지능 부트캠프, 인공지능과 컴퓨터, 빅데이터 통계, 프로그래밍프로젝트
- 연구분야
- 인공지능
- 주요경력
- 우송대학교 소프트웨어학부 컴퓨터 소프트웨어 전공 교수, 2024 ~ 현재
- 삼성전자 VD 사업부 모니터, 사운드바, TV 개발 SPM, 2019 ~ 2023
- 삼성전자 국내/해외 디지털 방송단말기 시스템 개발 총괄, 시스템 구조설계, 2001~2019
- 삼성전자 Web Video Phone 개발 리더 , 2000~2001
- 삼성전자 Ethernet Switch 및 Network Interface 개발, 1997~2000
- 한국디지털콘트롤㈜ Factory Automation and Monitoring System 개발, 1992~1997
- 주요논문
- ADAS를 이용한 차량의 위치를 측정하는 시스템의 개발, 2025
- 비지도 신경망을 이용한 물체 분류에 관한 연구, 1991.12
- 프로젝트
- 삼성전자 Smart Monitor Feature Function Feature SPM, 2019~2023
- 삼성전자 SoundBar Feature SPM, 2020~2023
- 국내 Cable STB 개발 총괄 Project Leader, 2004 ~ 2019
- 홍콩 PCCW 방송 사업자 STB 개발 프로젝트 리더, 2018
- 국내 Cable 방송 Android TV STB 개발 리더, 2018
- 필리핀 위성사업자 STB 개발 프로젝트 리더, 2017
- 태국 DVB-T2 STB 개발 리더, 2013
- 국내 Cable 방송 PVR HD-STB 개발 프로젝트 리더, 2013
- 국내 Cable 디지털 방송 XCAS 단말 개발 프로젝트 리더, 2008
- 국내 Cable 방송 HD STB 개발 리더, 2008
- 미국 TWC STB 개발, 2005
- OpenCable STB 개발 리더, 2003~2004
- 영국 Virgin Media(구. NTL) STB 개발, 2001~2002
- Web Video Phone 개발 리더, 2000 ~ 2001
- 삼성전자 Switch Hub 및 Network Interface Card 개발, 1997~2000
- 수자원 연구소 물 수요예측 시스템 공동 연구, 1995
- 팔당댐 취수장 모니터링 밎 제어시스템 개발 1994~1995
- 사료 공장 원료 및 제품 입/출입 시스템 개발 1994~1995
- IBM과 협업으로 구미 LG 반도체 Wafer Movement 시스템 개발, 1993~1994
- 포항제철 광양제철소 제1/2고로 모니터링 시스템 개발, 1992 ~ 1993
JIA UDDIN / Associate Professor
- jia.uddin@wsu.ac.kr
- Major : AI and Big Data Department
- Education
- Ph.D. in Computer Engineering, University of Ulsan, Korea (2015)
- MSc in Electrical Engineering Emphasis on Telecommunication, Blekinge Institute of Technology, Sweden, 2010
- BSc in Computer and Communication Engineering, International Islamic University Chittagong, Bangladesh, 2005
- Teaching subjects:
- Database, Time Series Analytics, Introduction to Data Analytics, Data Analytics for Management, MIT Mobile Apps Development, Data Visualization, Principles of Data Science, Machine Learning and Its Application in Modern Industries, Special Topics in Data Analytics, Exploratory Data Analysis and Visualization, Signal, Speech, and Image Processing
- Research area
- Fault Diagnosis, AI Based Solutions for Real-life Problems
- Career
- Associate Professor (April 2025- till)
Artificial Intelligence and Big Data Department, Endicott College, Woosong University - Assistant Professor (December 2019- March 2025)
Artificial Intelligence and Big Data Department, Endicott College, Woosong University - Associate Professor (July 2018- November 2019)
Department of Computer Science and Engineering, Brac University, Bangladesh - Assistant Professor (May 2015- 30 June 2018)
Department of Computer Science and Engineering, Brac University, Bangladesh - PhD Researcher (18th September 2011-December 2014)
Embedded System Lab, University of Ulsan, Room 303, Building 7, Ulsan, South Korea, http://eucs.ulsan.ac.kr/student - Assistant Professor (1st February 2011- August 2011) &(December 2014-April 2015)
Department of Computer and Communication Engineering, Faculty of Science and Engineering, International Islamic University Chittagong, Bangladesh - Lecturer (14th August 2005-31st Jan 2011)
Department of Computer and Communication Engineering, Faculty of Science and Engineering, International Islamic University Chittagong, Bangladesh - Visiting Faculty (April 2023)
University of Foggia, Foggia, Italy, https://www.unifg.it/en - Invited Faculty (Summer 2021)
Telkom University, Indonesia, https://telkomuniversity.ac.id/ - Visiting Faculty (April 2017)
Staffordshire University, Stoke on Trent, United Kingdom, https://www.staffs.ac.uk/
- Selected Publications
- S. Rahman, N.I. Nayeem, S. Mahbuba, S.I. Disha, R.H. Buiyan, M.A. Wadud, Jia Uddin, A YOLOv11-Based Deep Learning Framework for Multi-Class Human Action Recognition, CMC-Computers, Materials & Continua, USA, SCI (Web of Science), https://doi.org/10.32604/cmc.2025.065061 (July 2025)
- J. Datta, R. Rabbi, P. Saha, A.N. Zereen, M.A. Wadud, Jia Uddin, Deep Representation Learning using Layer-wise VICReg Losses, Scientific Reports, SCIE, Q1, https://doi.org/10.1038/s41598-025-08504-2 (June 2025)
- K.M. Sujon, R.B. Hassan, M.A. Wadud, Jia Uddin, OPTISTACK: A Hybrid Ensemble Learning and XAI-Based Approach for Malware Detection in Compressed Files, IEEE Access, SCI (Web of Science), Q1, https://doi.org/10.1109/ACCESS.2025.3579880 (June 2025)
- M.H.K. Mehedi, K.F.Z. Nafis, K.H. Charu, Jia Uddin, M.G.R. Alam, M. F. Mridha, ArsenicNet: An Efficient Way of Arsenic Skin Disease Detection Using Enriched Fusion Xception Model, PLOS ONE, SCIE, Q1, I.F. 2.9, https://doi.org/10.1371/journal.pone.0322405 (May 2025)
- M.R. Islam, M. Begum, M. N. Akhtar, Jia Uddin, Novel approach to determine release day by addressing stochastic nature of software fault data, Data Science and Management, Science Direct, Elsevier, Q1, IF: 1.37, https://doi.org/10.1016/j.dsm.2025.05.003 (May 2025)
- M.E. Haque, M. Zabin, Jia Uddin, EnsembleXAI-Motor: A Lightweight Framework for Fault Classification in Electric Vehicle Drive Motors Using Feature Selection, Ensemble Learning and Explainable AI, Machines, SCIE, Q2, IF. 2.1, https://doi.org/10.3390/machines13040314 (April 2025)
- Jia Uddin, A Novel Lightweight Deep Learning Approach for Driver’s Facial Expression Detection, Design, Scopus, Q2, https://doi.org/10.3390/designs9020045 (April 2025)
- R. Karim, S. Mahdi, A. Samin, A.N. Zereen, M.A. Wadud, Jia Uddin, Optimizing Stroke Recognition with MediaPipe and Machine Learning: An Explainable AI Approach for Facial Landmark Analysis, IEEE Access, SCI, Q1, https://doi.org/10.1109/ACCESS.2025.3550577 (March 2025)
- T. Hossain, Ar-Rafi Islam, H. K. Mehedi, A. A. Wadud, Jia Uddin, BanglaNewsClassifier: A Machine Learning Approach for News Classification in Bangla Newspapers using Hybrid Stacking Classifiers, Plos ONE, SCI, Q1, https://doi.org/10.1371/journal.pone.0321291 (March 2025)
- R. S. Aoyon, I. Hossain, M. A. Wadud, Jia Uddin, A Secured and Continuously Developing Methodology for Breast Cancer Image Segmentation via U-Net Based Architecture and Distributed Data Training, Computer Modeling in Engineering & Sciences,CMES, SCIE, Q2, https://doi.org/10.32604/cmes.2025.060917 (February 2025)
- S.T.K. Ayon, F.M. Siraj, Jia Uddin, Steel Surface Defect Detection Using Learnable Memory Vision Transformer, Computers, Materials, & Continua, SCIE (Q2), https://doi.org/10.32604/cmc.2025.058361 (January 2025)
- Details publications are available here:
- https://sites.google.com/view/drjiauddin/publications?authuser=0
- Company Projects
- Project No and Title: 2021-01, Development of the face identification algorithm using image processing techniques
- PIC: Researcher Kim WooJoong
- Period: 2020. 11. 14 ~ 2021. 04. 30.
- Department: R&D of Co. Gonghoon
- Development Objectives :
Development of the algorithm for the Face Detection
Development of user face registration algorithm for Facial Identification System
Development of discriminant algorithm for Facial Identification System
- Students Projects
- https://www.youtube.com/watch?v=Hp82SSEJaGw&list=PLBCl_YTw-sA2lZAVILhjrr...
- https://www.youtube.com/watch?v=gJLBr1jyWmw&feature=youtu.be
- https://www.youtube.com/watch?v=M_7DQt0sgFM&feature=youtu.be
- https://www.youtube.com/watch?v=nSZbdgrL5w8
- https://www.youtube.com/watch?v=y__4gokecTs
Prashant Kumar / Asst. Professor
- prashant@wsu.ac.kr
- Major : Artificial intelligence applications
- Education
- Ph.D. Indian Institute of Technology (Indian School of Mines), India (2022)
- M.Tech Indian Institute of Technology (Indian School of Mines), India (2017)
- B.Tech Biju Patnaik University of Technology, India (2014)
- TEACHING AREAS
- Cloud computing, advanced topics in machine learning, web analytics
- RESEARCH AREAS
- Artificial intelligence applications in prognostics and health management of motos, industrial robots, electric vehicles
- Career
- Assistant Professor (April 2025 – till date) Woosong University Daejeon
- Assistant Professor (March 2023 – March 2025) Dongguk University Seoul
- Visiting Professor (May 2022 – February 2023) Dongguk University Seoul
- Selected Publications
- P. Kumar and A. S. Hati, "Review on machine learning algorithm based fault detection in induction motors," Archives of Computational Methods in Engineering, vol. 28, no. 3, 2021.
- P. Kumar and A. S. Hati, "Deep convolutional neural network based on adaptive gradient optimizer for fault detection in SCIM," ISA Transactions, vol. 111, pp. 350–359, 2021.
- P. Kumar and A. S. Hati, "Convolutional neural network with batch normalisation for fault detection in squirrel cage induction motor," IET Electric Power Applications, vol. 15, no. 1, pp. 39–50, 2021.
- P. Kumar and A. S. Hati, "Transfer learning-based deep CNN model for multiple faults detection in SCIM," Neural Computing and Applications, vol. 33, no. 22, pp. 15851–15862, 2021.
- P. Kumar and A. S. Hati, "Dilated convolutional neural network based model for bearing faults and broken rotor bar detection in squirrel cage induction motors," Expert Systems with Applications, vol. 191, p. 116290, 2022.
- P. Kumar, P. Kumar, A. S. Hati, and H. S. Kim, "Deep transfer learning framework for bearing fault detection in motors," Mathematics, vol. 10, no. 24, p. 4683, 2022.
- I. Raouf, P. Kumar, H. Lee, and H. S. Kim, "Transfer learning-based intelligent fault detection approach for the industrial robotic system," Mathematics, vol. 11, no. 4, p. 945, 2023.
- A. S. Hati and P. Kumar, "An adaptive neural fuzzy interface structure optimisation for prediction of energy consumption and airflow of a ventilation system," Applied Energy, vol. 337, p. 120879, 2023.
- P. Kumar, S. Khalid, and H. S. Kim, "Prognostics and health management of rotating machinery of industrial robot with deep learning applications—A review," Mathematics, vol. 11, no. 13, p. 3008, 2023.
- P. Kumar, I. Raouf, and H. S. Kim, "Review on prognostics and health management in smart factory: From conventional to deep learning perspectives," Engineering Applications of Artificial Intelligence, vol. 126, p. 107126, 2023.
- A. Vatsa, A. S. Hati, P. Kumar, M. Margala, and P. Chakrabarti, "Residual LSTM-based short duration forecasting of polarization current for effective assessment of transformers insulation," Scientific Reports, vol. 14, no. 1, p. 1369, 2024.
- M. M. Azad and P. Kumar, H. S. Kim, "Delamination detection in CFRP laminates using deep transfer learning with limited experimental data," Journal of Materials Research and Technology, vol. 29, pp. 3024–3035, 2024.
- J. Song, P. Kumar, Y. Kim, and H. S. Kim, "A fault detection system for wiring harness manufacturing using artificial intelligence," Mathematics, vol. 12, no. 4, p. 537, 2024.
- P. Kumar, I. Raouf, and H. S. Kim, "Transfer learning for servomotor bearing fault detection in the industrial robot," Advances in Engineering Software, vol. 194, p. 103672, 2024.
- P. Kumar, S. Park, Y. Zhang, S.-H. Jo, H. S. Kim, and T. Kim, "A review of hydraulic cylinder faults, diagnostics, and prognostics," International Journal of Precision Engineering and Manufacturing-Green Technology, vol. 11, no. 5, pp. 1637–1661, 2024.
- I. Raouf, P. Kumar, and H. S. Kim, "Deep learning-based fault diagnosis of servo motor bearing using the attention-guided feature aggregation network," Expert Systems with Applications, vol. 258, p. 125137, 2024.
- S. Kumar, S. K. Singh, S. Varshney, S. Singh, P. Kumar, B.-G. Kim, and I.-H. Ra, "Fusion of deep sort and Yolov5 for effective vehicle detection and tracking scheme in real-time traffic management sustainable system," Sustainability, vol. 15, no. 24, p. 16869, 2023.
- P. Kumar, A. S. Hati, and P. Kumar, "Bearing fault diagnosis in induction motor using hybrid CNN model," International Journal of Adaptive Control and Signal Processing, 2023.
- S. Jain, A. K. Yadav, R. Kumar, I. K. Shah, P. Kumar, S. Singh, and I.-H. Ra, "Artificial neural network based spectrum sensing in wireless regional area network," IEEE Access, vol. 12, pp. 48941–48950, 2024.
- P. Kumar, A. S. Hati, and H. S. Kim, "Electric vehicle motor fault detection with improved recurrent 1D convolutional neural network," Mathematics, vol. 12, no. 19, 2024.
- P. Kumar, I. Raouf, J. Song, and H. S. Kim, "Multi-size wide kernel convolutional neural network for bearing fault diagnosis," Advances in Engineering Software, vol. 198, p. 103799, 2024.
- M. M. Azad, J. Jung, M. U. Elahi, M. Sohail, P. Kumar, and H. S. Kim, "Failure modes and non-destructive testing techniques for fiber-reinforced polymer composites," Journal of Materials Research and Technology, 2024.
- I. Raouf, P. Kumar, S. Khalid, and H. S. Kim, "Comprehensive analysis of current developments, challenges, and opportunities for the health assessment of smart factory," International Journal of Precision Engineering and Manufacturing-Green Technology, pp. 1–18, 2025.
- P. Kumar, H. S. Kim, S. Kim, H.-S. Kim, and J. Moon, "Recent advances in artificial intelligence-driven prognostics and health management of mobility batteries," Multiscale Science and Engineering, pp. 1–16, 2025.
- P. Kumar, S. Singh, and D. Y. Song, "Investigation of transfer learning method for motor fault detection," Machines, vol. 13, no. 4, p. 329, 2025.
- P. Kumar, M. Tanveer, K. Park, I. Raouf, and H. S. Kim, "A systematic review of prognostics and health management in mobility batteries," International Journal of Precision Engineering and Manufacturing-Green Technology, pp. 1–24, 2025.
- P. Kumar, "Transfer learning for induction motor health monitoring: A brief review," Energies, vol. 18, no. 14, p. 3823, 2025.
- P. Prince, B. Yoon, and P. Kumar, "Fault detection and diagnosis in air-handling unit (AHU) using improved hybrid 1D convolutional neural network," Systems, vol. 13, no. 5, p. 330, 2025.
*Journal Papers
- Conference Papers
- P. Kumar, A. S. Hati, S. Padmanaban, Z. Leonowicz, and P. Chakrabarti, "Amalgamation of transfer learning and deep convolutional neural network for multiple fault detection in SCIM," in 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe), pp. 1–6, 2020.
- A. K. Sinha, P. Kumar, and A. S. Hati, "ANN based fault detection scheme for bearing condition monitoring in SRIMs using FFT, DWT and band-pass filters," in 2020 International Conference on Power, Instrumentation, Control and Computing (PICC), pp. 1–6, 2020.
- P. Kumar, I. Raouf, H. Lee, and H. S. Kim, "Bearing fault detection of industrial robot servomotor under variable operating conditions," in 대한기계학회 춘추학술대회, pp. 1593–1594, 2022.
- S. Kim, P. Kumar, H. S. Kim, and J. Son, "데이터 증강 및 기계학습 기반의 내재모드함수 에너지를 이용한 적층 복합재 결함 탐지," in 대한기계학회 춘추학술대회, pp. 2280–2281, 2022.
- I. Raouf, P. Kumar, H. Lee, and H. S. Kim, "Prognostic health management for strain wave gear reducer under different operating conditions," in 대한기계학회 춘추학술대회, p. 822, 2022.
- P. Kumar, I. Raouf, Y. R. Noh, and H. S. Kim, "Explainable deep learning model for bearing fault detection in industrial robots," in 대한기계학회 춘추학술대회, pp. 120–121, 2023.
- P. Kumar, I. Raouf, and H. S. Kim, "Industrial robot bearing fault detection using scalogram and convolutional neural network," in 대한기계학회 춘추학술대회, p. 59, 2023.
- I. Raouf, P. Kumar, and H. S. Kim, "Health diagnosis of an industrial robotic servo motor using the application of deep learning," in 대한기계학회 춘추학술대회, pp. 1329–1330, 2023.
- P. Kumar, I. Raouf, and H. S. Kim, "Vision transformer for bearing fault detection in motors," in 대한기계학회 춘추학술대회, pp. 217–218, 2024.
- I. Raouf, P. Kumar, and H. S. Kim, "Rotating machinery fault detection and prognostics for smart factory applications," in 대한기계학회 춘추학술대회, pp. 139–140, 2024.
- I. Raouf, P. Kumar, and H. S. Kim, "Development of a condition health monitoring strategy for industrial robotic reducers from traditional approaches to customized deep learning models," in 대한기계학회 춘추학술대회, p. 1092, 2024.
- A. K. Sinha, M. Pushkarna, and P. Kumar, "A comparative analysis of electric vehicles charging-discharging topologies for sustainable energy," in 2024 International Conference on Communication, Control, and Intelligent Systems (CCIS), pp. 1–6, 2024.
- R. S. Tiwari, A. K. Sinha, and P. Kumar, "Analysis of VSC-HVDC system in the asynchronously operating grids during AC line faults," in 2025 IEEE 1st International Conference on Smart and Sustainable Developments in Electrical Engineering (SSDEE), pp. 1–5, 2025.
- M. Tanveer, P. Kumar, and H. S. Kim, "Data-driven prognostics and health management for lithium-ion batteries," in 대한기계학회 춘추학술대회, pp. 163–164, 2025.
- Book Chapters
- P. Kumar and A. S. Hati, "Support vector classifier-based broken rotor bar detection in squirrel cage induction motor," in Machines, Mechanism and Robotics: Proceedings of iNaCoMM 2019, pp. 429–438, Springer Singapore, 2021.
- P. Kumar, A. S. Hati, P. Kumar, and H. S. Kim, "Bearing fault diagnosis in induction motor using hybrid CNN model," in International Conference on Industrial Problems on Machines and Mechanism, pp. 411–418, Springer, 2022.
- A. K. Sinha, P. Kumar, and P. Kumar, "Electric vehicle: Types, charging topologies, energy storage management system and applicability micro-grids–A review," Nova Science Publishers, Inc., 2024.
Saurabh Singh / Asst. Professor
- Singh.saurabh@wsu.ac.kr
- Major : AI and Big data
- Education
- Ph.D. 2019
- MS 2014
- BS 2011
- Teaching Subjects
- Math in AI, Computer vision, introduction to Python, introduction to Robotics, IIoT
- Research area
- Artificial Intelligence, Machine learning, cryptography, Internet of Things, Big Data, Blockchain Technology, WSN, and Security,
- Career
- March 2023~Present, Assistant Professor in the Department of AI and Big Data, Woosong University, Daejeon Korea
- March 2020~ Feb2023, Assistant Professor in the Department of Industrial and System Engineering, Dongguk University, Seoul, South Korea,
- Sep. 2019~Feb. 2020 work as postdoctoral research fellow in Kunsan national university
- Sep 2015~2016-years research experience as a research scholar in Seoul National University of Science and Technology, South Korea.
- Teaching Assistantship during M.E., in Thapar University, Patiala, India (2012-2014)
- Industrial Training at Hawlet Packard training center in Noida (June-July 2010)
- Selected Publications
- Abir Das,, Saurabh Singh, Jaejeung Kim, Tariq Ahamed Ahanger, and Anil Audumbar Pise. "Enhanced EEG signal classification in brain computer interfaces using hybrid deep learning models." Scientific Reports 15, no. 1 (2025): 27161.
- Jayameena Desikan,, Sushil Kumar Singh, A. Jayanthiladevi, Saurabh Singh, and Byungun Yoon. "Dempster Shafer-empowered machine learning-based scheme for reducing fire risks in IoT-enabled industrial environments." IEEE Access 13 (2025): 46546-46567.
- Saurabh Singh, Anil Pise, and Byungun Yoon. "Prediction of bitcoin stock price using feature subset optimization." Heliyon 10, no. 7 (2024).
- Jain, Sharad, Ashwani Kumar Yadav, Raj Kumar, Indra Kumar Shah, Prashant Kumar, Saurabh Singh, and In-Ho Ra. "Artificial Neural Network Based Spectrum Sensing in Wireless Regional Area Network." IEEE Access (2024).
- Anil Pise, Byungun Yoon, and Saurabh Singh. "Enabling Ambient Intelligence of Things (AIoT) healthcare system architectures." Computer Communications 198 (2023): 186-194. (2023)
- Saurabh Singh, C. Rajesh Babu, Kadiyala Ramana, In-Ho Ra, and Byungun Yoon. "BENS− B5G: Blockchain-Enabled Network Slicing in 5G and Beyond-5G (B5G) Networks." Sensors 22, no. 16 (2022): 6068.
- Singh, Saurabh, Anil Pise, Osama Alfarraj, Amr Tolba, and Byungun Yoon. "A cryptographic approach to prevent network incursion for enhancement of QoS in sustainable smart city using MANET." Sustainable Cities and Society 79 (2022): 103483.
- Rouf, Nusrat, Majid Bashir Malik, Sparsh Sharma, In-Ho Ra, Saurabh Singh, and Abhishek Meena. "Impact of Healthcare on Stock Market Volatility and Its Predictive Solution Using Improved Neural Network." Computational Intelligence and Neuroscience (2022).
- Saurabh Singh, Shailendra Rathore, Osama Alfarraj, Amr Tolba, and Byungun Yoon. "A framework for privacy-preservation of IoT healthcare data using Federated Learning and blockchain technology." Future Generation Computer Systems 129 (2022): 380-388.
- Saurabh Singh, Surbhi Sharma, Sparsh Sharma, Osama Alfarraj, Byungun Yoon, and Amr Tolba. "Intrusion Detection System based Security Mechanism for Vehicular ad-hoc Networks for Industrial IoT." IEEE Consumer Electronics Magazine (2021).
- Ghosh, Joydev, In-Ho Ra, Saurabh Singh, Hüseyin Haci, Khaled A. Al-Utaibi, and Sadiq M. Sait. "On the comparison of optimal NOMA and OMA in a paradigm shift of emerging technologies." IEEE Access 10 (2022): 11616-11632.
- For more Detail
- Google Scholar Link: https://scholar.google.co.kr/citations?user=yBKc5fAAAAAJ&hl=en
- Selected Projects
- RISE Project 2025-Sep to 2026-Feb “Development of AI-based autonomous driving technology for multipurpose reconnaissance robots” S. korea, Approx. 15K USD
- 2016-2017 “Development of an immersive and interactive NUI/NUX Platform for Invoked Reality Contents” supported by Institute for Information and Communications Technology Promotion (IITP), South Korea, $6K
- 2016-2017 “Developing a Green Smart Home Security Framework for Next Generation IoT Environment” supported by National Research Foundation (NRF), South Korea, $250K
- 2018-2020 “Development of blockchain-based embedded devices and platform for MG security and operational efficiency” supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) $420K
- 2019-2020, “Research on Improvement of Fungicidal and Insecticidal Efficiency Using Multicopter” $19K
- 03.2018-12.2018, “Development of Public Safety Service Technologies based on Big Data and IoT”, supported by Ministry of Science, ICT, Korea, $750K
- PROFESSIONAL ACTIVITIES
- Guest Editor of Special Issue on “AI-enabled Threat Intelligence for Mobile Cyber-Physical Systems”, CMC-Computers Materials & Continua Metrics
- Guest Editor of Special Issue on “Blockchain Security in Cloud Computing”, Future Internet
- Guest Editor of Special Issue on "Integration of Green ICTs and Industry into Green Governance for a Sustainable Ecosystem" Sustainability
- Guest Editor of Special Issue on “Emerging Applications of Artificial Intelligence, Machine learning and Data Science”, CMC-Computers Materials & Continua Metrics
- PATENTS
- TITLE: SYSTEM AND METHOD FOR BLOCKCHAIN BASED SECURE MEDICAL RECORDS
- TYPE OF AGENCY: NATIONAL
- PATENT NUMBER: 202041007004
MAHE ZABIN / Asst. Professor
- mahezabin@wsu.ac.kr
- Major : Human and Digital Interface Department
- Education
- Ph.D. in Computer Science, KAIST, Daejeon, Korea (2025)
- MSc in Software Technology, Linnaeus University, Vaxjo, Sweden, 2012
- BSc in Computer Science and Engineering, International Islamic University Chittagong, Bangladesh, 2009
- TEACHING AREAS
- Python Programming, Basic Computer Literacy, Artificial Intelligence and Digital Forensics, AI in the Area of Digital Transformation, Artificial Intelligence, Object Oriented Programming, Signal, Image, and Speech Processing
- RESEARCH AREAS
- Digital Pathology Image Diagnosis, Machine Fault Diagnosis
- Career
- Assistant Professor (March 2025- Till)
- Human and Digital Interface Department, JW Kim College of Future Studies, Woosong University
- Graduate Researcher (September 2020-February 2025)
- Knowledge Engineering and Artificial Intelligence Laboratory, KEAI (https://keai.kaist.ac.kr/)
- Selected Publications
- M.E. Haque, M. Zabin, Jia Uddin, EnsembleXAI-Motor: A Lightweight Framework for Fault Classification in Electric Vehicle Drive Motors Using Feature Selection, Ensemble Learning and Explainable AI, Machines, SCIE, Q2, IF. 2.1, https://doi.org/10.3390/machines13040314 (April 2025)
- M. Zabin, S.T.K. Ayon, F.M. Siraj, M.H. Shuvo, H.J. Choi, Jia Uddin, Few-Shot Learning-Based Machine Fault Diagnosis Using EMD-Gammatone Spectrogram with Limited Labeled Audio Dataset, In 2025 IEEE International Conference on Big Data and Smart Computing (BigComp), https://doi.ieeecomputersociety.org/10.1109/BigComp64353.2025.00046 Feb. 9-12, 2025, Kota Kinabalu, Malaysia.
- M.Zabin, H.J. Choi, M.K. Kabir, A.N. Kabir, Jia Uddin, Machine Fault Diagnosis: Experiments with Different Attention Mechanisms Using a Lightweight SqueezeNet Architecture, Electronics, SCIE, IF: 2.6, https://doi.org/10.3390/electronics13163112 (August 2024)
- M. Zabin, A. Binte Kabir, M. Kabir, H. Choi and J. Uddin, Machine Fault Diagnosis Using EMD-Gammatone Texture Representation and A Lightweight Self-Attention SqueezeNet, In 2024 IEEE International Conference on Big Data and Smart Computing (BigComp), pp. 32-39, https://doi.org/10.1109/BigComp60711.2024.00015 February 2024, Bangkok, Thailand.
- M. Zabin, K.Kabir, AN. Kabir, H.J. Choi, Jia Uddin, Contrastive Self-supervised Representation Learning for Metal Surface Defect Detection, Journal of BigData, Springer, SCI, Q1, IF:10.835, https://doi.org/10.1186/s40537-023-00827-z (September 2023)
- M. Zabin, H.J. Choi, Jia Uddin, Hybrid Deep Transfer Learning Architecture for Industrial Fault Diagnosis Using Hilbert Transform and DCNN–LSTM, Journal of Supercomputing, SCI, Springer, Q1, IF. 2.6, https://doi.org/10.1007/s11227-022-04830-8 (September 2022)
- Zabin, M., Choi, H.J., Jung, Y. Quality Control of Whole Slide Pathology Images with Deep Semantic Segmentation. KSC 2022, Ramada Plaza, Jeju Island (December 2022)
- M. Zabin, H.J. Choi, M. Islam, Jia Uddin, Impact of tuning parameters in deep convolutional neural network using a crack image dataset, The 15th KIPS International Conference on Ubiquitous Information Technologies and Applications (CUTE 2021), Jeju, Korea, Dec 15-17, 2021
- M. Zabin, Ho-Jin Choi, Jia Uddin, H. Furhad, A. B. Ullah, Industrial Fault Diagnosis using Hilbert Transform and Texture Features, IEEE BigCom2021, Jeju, South Korea, January, https://doi.org/10.1109/BigComp51126.2021.00031 2021
- Company Projects:
- Project No and Title : 2021-02, Quality Control of Pathology Images
- PIC : Prof. Ho-Jin Choi
- Period : 2021. 02 ~ till
- Department : R&D of SAMSUNG
- Development Objectives
Development of the algorithm for Labeling Pathology Images
Development of a Software Tool for automatically classifying the Pathology Images
- Students Projects
- Digital Library using HTML, CSS, SQL
- Machine Fault Diagnosis using lightweight Deep Learning Architectures