전공 : Electrical Engineering and Artificial Intelligence
연락처 : 042-629-6642
이메일 : prashant@wsu.ac.kr
김보겸
직위 : 교수
전공 : 전자정보통신
연락처 : 042-630-6692
이메일 : bgkim1017@wsu.ac.kr
권영혁
직위 : 교수
전공 : 전자공학(컴퓨터공학) & 경영학
연락처 : 042-630-9965
이메일 : yhkwon@wsu.ac.kr
조일형
직위 : 조교수
전공 : Computer Science
연락처 : 042-630-9880
이메일 : ilh.cho@wsu.ac.kr
이태형 (TAEHYUNG LEE)
직위 : 교수
전공 : Computer Science
연락처 : 042)630-4714
이메일 : leeth@wsu.ac.kr
조일형
직위 : 조교수
전공 : Computer Science
연락처 : 042-630-9880
이메일 : ilh.cho@wsu.ac.kr
학위
박사 - Clemson University, Computer Science, 2000
석사 - Bowling Green State University, Computer Science, 1990
학사 - 연세대학교 전자전산기공학과, 1987
강의과목
강화학습
자연어 처리 (NLP)
인공지능
프로그래밍 언어
연구분야
소프트웨어 엔지니어링
인공지능
주요경력
Saginaw Valley State University 학과장
주요논문
Hong Y. Park, Il-Hyung Cho, Bangyong Keum. "Entrepreneurship and Foresight in AI and Big Data: Strategies and Policies for Shaping the Future of the AI Market." INFOMS/ICTBM-20, International Forum of Management Scholars, International Conference on Technology and Business Management, June 12–14, 2020.
Hong Y. Park, Il-Hyung Cho. "Practical Application of Whiteheadian Process Philosophy and Creativity to U.S. Corporations and the Creative Economy in Korea: A Five Cs Creativity Theory Perspective." Submitted to Cogent Business & Management, September 2018.
Hong Y. Park, Il-Hyung Cho, Sonia Park. "Practical Application of Whiteheadian Process Philosophy and Creativity to the Creative Economy in Korea: A Five Cs Creativity Theory Perspective." KEA-APEA 2017 International Conference: The Rise of Economic Nationalism in a New Era of Globalization, Seoul, Korea, July 14–15, 2017.
Hong Park, Il-Hyung Cho, and Sonia Park. "Practical Application of Whiteheadian Process Philosophy and Creativity to Entrepreneurship in the ICT Industry." 18th National Business and Economics Society (NBES), Puerto Vallarta, Mexico, March 8–12, 2017.
Hong Y. Park, Il-Hyung Cho, Sook Jung, Dorrie Main. "Information and Communication Technology and User Knowledge-Driven Innovation in Services." Cogent Business & Management, Volume 2, Issue 1, 2015.
이태형 (TAEHYUNG LEE)
직위 : 교수
전공 : Computer Science
연락처: 042)630-4714
이메일 : leeth@wsu.ac.kr
Education
MS in Computer Science, University of Iowa, Iowa City, IA (1998)
BS in Computer Science, University of Iowa, Iowa City, IA (1995)
Teaching Subjects
Embedded Software Development
IoT (Internet of Things)
Data Analytics (Web Analytics)
Computer Architecture
Computer Programming (C/C++, Phyton, Assembly Language and etc.)
Special Topics in Artificial Intelligence
Career
2025. 09 ~ Present: Professor in AI & Big Data Department at Endicott College of International Studies, Woosong University, Daejeon, Korea.
2023. 01 ~ 2025.08: Adjunct Professor in Computer Science Department at Collin College, Dallas, Texas, USA
2021.02 ~ 2023.02: RAN Technical Program Manager at Mavenir, Richardson, Texas,
2012.05 ~ 2021.02: Software Development Program Manager at Samsung Electronics, Suwon, Korea
2008.08 ~ 2012.05: Software Development Program Manager at Motorola and Nokia, Arlington Heights, Illinois, USA
2006.04 ~ 2008.08: Software Development Project Manager at Motorola, Arlington Heights, Illinois, USA
1998.01 ~ 2006.04: Software Developer at Motorola, Arlington Heights, Illinois, USA
Project
World First 5G Network Deployment in Korea and US, Samsung Electronics, Korea
ORAN VCP (Verizon Cloud Platform) Deployment in Verizon, Mavenir, USA
Noorul Islam Centre for Higher Education (University), India Dept of Computer Applications (Prompt Optimization of LLM) – On Going
Ms/Indira Gandhi National Open University, New Delhi, India-Master in Computer Applications (2008)
Indira Gandhi National Open University, New Delhi, India- Advanced Diploma in Computer Applications (2005)Institute of Human Resources and Education, India- Post Graduate Diploma in Computer Applications (1996)
Bs/Mahatma Gandhi University, India- Bachelor in Botany (1993)
Teaching Subjects
Computational Thinking & Applications, Programing Using Python, Database Programming, Software Engineering, Software Projects Management, Business Analytics
Publications
The design of the selection and alignment queries using mobile program (J2ME) for Database. Query Optimization Prasannakumar, Prof Cheon-Hong Min in Korea Academic Journal of e-business->page 43
Innovative algorithmic program (J2ME) for Database. Query Optimization with Prof Cheon-Hong Min, in Korea Management Information System Spring International Conference 2008. This paper is published D3: ICT Page number 83 of the KIMS conference journal
Conception of Big Data Sense making by Self Correcting False Positives Using Non-Monotonic Reasoning. By Prasannakumar C.V. and Leena V Amrita School of Arts & Sciences, Amrita National Conferences.
An effective classification algorithm using Weka tool for meteorological prediction during data missing situations By Adarsh E P, Aravind H and Prasannakumar C V in International Journal of Pure Mathematics
A pragmatic approach of effective emoji usage in various handheld communication devices with emphasis to optimized space utilization and retrieval By Neenu Mathew, Joona Thomas and Prasannakumar C V in International Journal of Pure Mathematics
An Empirical Analysis to Explore the Best Algorithm for Covid-19 Dispersion, (Scopus Indexed)
(https://link.springer.com/chapter/10.1007/978-981-16-3675-2_18) (Athira Jayan, T. S. Sethulakshmi, Prasanna Kumar Ubiquitous Intelligent Systems
A Comparative Analysis of Various Transfer Learning Approaches Skin Cancer Detection (Scopus Indexed)
(https://ieeexplore.ieee.org/document/9452854?denied=) , Linda K Ashim; Nimisha Suresh; Prasannakumar C V 2021 5th International Conference on Trends in Electronics and Informatics
An Analytical Approach for the Correction of Optical Readable Answer Sheets using NLP (Scopus Indexed)
(https://link.springer.com/chapter/10.1007/978-981-16-3945-6_48) 2022 Sharookhan B, Aneesh Kumar A, Deepak Suresh and Prasannakumar C V International Conference on Information and Communication Technology for Intelligent Systems
Advanced Query Optimization and Skew Handling Techniques in Modern Database Systems- Presented in International Conference on Future of Connected System (ICFoCS) –NICHE -Prasannakumar, Dr. Venifa Mini
Exploring the Technologies and Techniques in Large language Models- Presented in International Conference on Intelligent Techniques in Computer and Engineering Sciences (ITCES-25)-College of Engineering Perumon- Prasannakumar, Dr. Venifa Mini
Imperative Methodology of Query Optimization in Large language Models –Presented in International Conference On Recent Trends In Computer Applications (Icrtca’25)- Prasannakumar, Dr. Venifa Mini
“Cybersecurity Challenges in IoT-Driven Geospatial Information Systems,” Kuwait Journal of Science, Elsevier (indexing SCIE), Aug. 1, 2025 to Dec. 12 2025.
“Advances in AI-Driven Mathematical Modeling for Model Predictive Control in Engineering Systems,” Network and Heterogenous Media, AIMS Press, (Indexing SCIE), July 1, 2025 to Dec. 25, 2025.
“Superior Signal Processing Methods for VANET Communication,” Traitement Du Signal, IIETA (indexing SCIE), Jun 16 to Sept. 15, 2025.
https://iieta.org/Journals/TS/news/20437
“Advanced AI Techniques for Multimodal Biometrics Systems in Security Applications,” IET Biometrics, Wiley (Indexing SCIE), March 15, 2025 to Jan. 19, 2026.
“Intelligent IoT Systems: Challenges and Opportunities in Sensing, Computing, and Communications,” Electronics, MDPI (Indexing SCIE), March 6, to Dec. 12, 2023.
Or Web of Science (Peer review): https://www.webofscience.com/wos/author/record/U-7176-2019
Program Committee Member: (Selected):
2013 International Conference on Future Information & Communication Engineering, China.
2014 International Conference on Future Information & Communication Engineering, Hong Kong.
2015 International Conference on Future Information & Communication Engineering, Malaysia.
2016 International Conference on Wireless Communication and Sensor Network, China.
2017 International Conference on Computer Engineering and Information System, China.
2017 International Conference on Future Information and Communication Engineering, Russia.
2018 International Conference on Future Information and Communication Engineering, Thailand.
2020 ACM Workshop on "Recent Trends of Internet of Softwarized Things (IoST-5G&B), Japan.
2020 International Conference on Trends in Computational and Cognitive Engineering, Bangladesh.
2021 International Conference on Big Data IoT and Machine Learning (BIM 2021), Bangladesh
2021 International Conference on Applied Intelligence and Informatics, Nottingham- UK.
2021 9th Annual Conference on Geo-Spatial Knowledge and Intelligence, Nanjing, Jiangsu, China
2022 International Conference on Machine Intelligence and Emerging Technologies (MIET), Bangladesh.
2024 5th International Conference on Cloud and Big Data, Vienna, Austria.
2024 2nd International Conference on Machine Intelligence and Emerging Technologies, Noakhali, Bangladesh.
2024 5th International Conference on Big Data, IOT and Blockchain, Sydney, Australia.
2024 9th Annual International Conference on Information System and Artificial Intelligence, Sichuan, China.
2025 5th International Conference on Big Data, IoT and Machine Learning, Copenhagen, Denmark.
2025 16th International Conference on Internet Engineering & Web Services, Sydney, Australia.
2025 10th Annual International Conference on Information System and Artificial Intelligence, Sichuan, China.
2025 9th Annual International Conference on Wireless Communications, Networking and Applications, Nanjing, China.
PUBLICATION Selected Journals:
M. A. Rahman, M. B. A. Miah, M. A. Hossain, and A. S. M. Sanwar Hosen*, “Enhanced Brain Tumor Classification Using MobileNetV2: A Comprehensive Preprocessing and Fine-Tuning Approach,”, BioMedInformatics, vol. 5, no. 2, pp. 1-33, 2025. (SCOPUS)
S. Ahmed, M. S. Rahman, M. S. Kaiser, and A. S. M. Sanwar Hosen*,” Advancing Personalized and Inclusive Education for Students with Disability Through Artificial Intelligence: Perspectives, Challenges, and Opportunities,” Digital, vol. 5, no. 2, pp. 1-30, 2025. (SCOPUS)
M. S. Islam and A. S. M. Sanwar Hosen*, “Personalized Course Recommendation System: A Multi-Model Machine Learning Framework for Academic Success,” Digital, vol. 5, no. 2, pp. 1-26, 2025. (SCOPUS)
I. A. Begum, A. S. M. Sanwar Hosen*, D. Ghimire, M. J. Park, “Association of Polycystic Ovary Syndrome with Clinical, Physical and Reproductive Factors: A Data-Driven Analysis,” Diagnostics, vol. 15, no. 6, pp. 1-15, 2025. (SCIE)
S. Jahan, M. R. S. Adib, S. M. Huda, M. S. Rahman, M. S. Kaiser, A. S. M. Sanwar Hosen, D. Ghimire, and M. J. Park, “Federated Explainable AI-based Alzheimer’s Disease Prediction with Multimodal Data,” IEEE Access, vol. 13, pp. 43435-43454, 2025. (SCIE)
T. S. Delwar, S. Mukhopadhyay, A. Kumar, M. Singh, Y.-W. Lee, J.-Y. Ryu, and A. S. M. Sanwar Hosen*, “Real-Time Farm Surveillance Using IoT and YOLOv8 for Animal Intrusion Detection,” Future Internet, vol. 17, no. 2, pp. 1-43, 2025. (SCOPUS and ESCI)
V. Verma, A. Malik, I. Batra, A. S. M. Sanwar Hosen*, “A novel ensemble-based approach for Windows malware detection, IAES International Journal of Artificial Intelligence (IJ-AI), vol. 14, no. 1, pp. 327-336, 2025. (SCOPUS)
N. Akhter, A. Khatun, M. S. Rahman, A. S. M. Sanwar Hosen*, M. S. Islam, “A systematic analysis on machine learning classifiers with data pre-processing to detect anti-pattern from source code, IAES International Journal of Artificial Intelligence (IJ-AI), vol. 14, no. 1, pp. 376-384, 2025. (SCOPUS)
K. A. Taher, S. Ahmed, J. F. Esha, M. S. Rahman, and A. S. M. Sanwar Hosen*, “Multilayer stacking for polycystic ovary syndrome diagnosis,” IAES International Journal of Artificial Intelligence (IJ-AI), vol. 99, no. 1, pp. 1-x, 2025 (accepted). (SCOPUS)
Aarti, S. Gowroju, M. I. A. Begum, and A. S. M. Sanwar Hosen*, “Optimal Feature Selection and Classification for Parkinson’s Disease Using Deep Learning and Dynamic Bag of Features Optimization,” BioMedInformatics, vol. 4, no. 4, pp. 1-28, 2024. (SCOPUS)
S. A. Asma, N. Akhter, S. Sharmin, M. S. Rahman, A. S. M. Sanwar Hosen, O.-S. Lee, and I.-H. Ra, “Hierarchical Explainable Network for Investigating Depression from Multilingual Textual Data,” IEEE Access, vol. 12, pp. 131915-131927, 2024. (SCIE)
P. Rana, I. Batra, A. Malik, I.-H. Ra, O.-S. Lee, and A. S. M. Sanwar Hosen*, “Efficacious Novel Intrusion Detection System for Cloud Computing Environment,” IEEE Access, vol. 12, pp. 99223-99239, 2024. (SCIE)
S. Ahmed, J. F. Esha, M. S. Rahman, M. S. Kaiser, A. S. M. Sanwar Hosen, D. Ghimire, and M. J. Park, “Exploring Deep Learning and Machine Learning Approaches for Brain Hemorrhage Detection,” IEEE Access, vol. 12, pp. 45060-45093, 2024. (SCIE)
S. Shafiq, M, S. Rahman, S. A. Shaon, I. Mahmud, and A. S. M. Sanwar Hosen*, “A Review on Software-Defined Networking for Internet of Things Inclusive of Distributed Computing, Blockchain, and Mobile Network Technology: Basics, Trends, Challenges, and Future Research Potentials,” International Journal of Distributed Sensor Networks, vol. 2024, no. 1, pp. 1-26, 2024. (SCIE)
R. Mia, S. Khanam, A. Mahjabeen, N. H. Ovy, D. Ghimire, M.-J. Park, M. I. A. Begum, and A. S. M. Sanwar Hosen, “Exploring Machine Learning for Predicting Cerebral Stroke: A Study in Discovery,” Electronics, vo. 13, no. 4, pp. 1-17, 2024. (SCIE)
S. Jahan, K. A. Taher, M. S. Kaiser, M. Mahmud, M. S. Rahman, A. S. M. Sanwar Hosen, and I.-H. Ra, “Explainable AI-based Alzheimer’s prediction and management using multimodal data,” Plos one, vol. 18, no. 11, pp. 1-26, 2023. (SCIE)
T. Thakur, I. Batra, A. Malik, D. Ghimire, S.-H. Kim, and A. S. M. Sanwar Hosen*,” RNN-CNN based cancer prediction model for gene expression,” IEEE Access, vol. 11, pp. 131024-131044, 2023. (SCIE)
S. Ahmed, M. S. Rahman, I. Jahan, M. S. Kaiser, A. S. M. Sanwar Hosen, D. Ghimire, and S.-H. Kim, “A review on the detection techniques of polycystic ovary syndrome using machine learning,” IEEE Access, vol. 11. pp. 86522-86543, 2023. (SCIE)
M. S. Rahman, T. Ghosh, N. F. Aurna, M. S. Kaiser, M. Anannya, and A. S. M. Sanwar Hosen*, “Machine learning and internet of things in industry 4.0: A review,” Measurement: Sensors, vol. 28, pp. 1-19, 2023. (SCOPUS)
M. Kumar, A. Kumar, S. Verma, P. Bhattacharya, D. Ghimire, S.-H. Kim, A. S. M. Sanwar Hosen*, “Healthcare Internet of Things (H-IoT): Current trends, future prospects, applications, challenges, and security issues,” Electronics, vol. 12, no. 9, pp. 1-19, 2023. (SCIE)
R. Kaur, D. Anand, U. Kaur, S. Verma, Kavita, S.-W. Park, A. S. M. Sanwar Hosen*, and I.-H. Ra, “An Advanced Job Scheduling Algorithmic Architecture to Reduce Energy Consumption and CO2 Emissions in Multi-Cloud,” Electronics, vol. 12, no. 8, pp. 1-21, 2023. (SCIE)
S. Upadhyay, M. Kumar, A. Upadhyay, S. Verma, Kavita, A. S. M. Sanwar Hosen*, I.-H. Ra, and M. Kaur, S. Singh, “Digital Image Identification and Verification Using Maximum and Preliminary Score Approach with Watermarking for Security and Validation Enhancement,” Electronics, vol. 12, no. 7, pp. 1-15, 2023. (SCIE)
S. Jahan, F. Nowsheen, M. M. Antik, M. S. Rahman, M. S. Kaiser, A. S. M. Sanwar Hosen, and I.-H. Ra, “AI-based epileptic seizure detection and prediction in internet of healthcare things: a systematic review,” IEEE Access, vol. 11, pp. 30690-30725, 2023. (SCIE)
M. B. A. Miah, S. Awang, M. M. Rahman, and A. S. M. Sanwar Hosen*, “Keyphrase Distance Analysis Technique from News Articles as a Feature for Keyphrase Extraction: An Unsupervised Approach,” International Journal of Advanced Computer Science and Applications, vol. 14, no. 10, pp. 995-1002, 2023. (SCOPUS)
K. Sharma, A. Malik, I. Batra, A. S. M. Sanwar Hosen, M. A. L. Sarker, and D. S. Han, “Technologies Behind the Smart Grid and Internet of Things: A System Survey,” Computers, Materials & Continua, vol. 75. no. 3, pp. 4049-5072, 2023. (SCIE)
S. Jain, N. Kaur, S. Verma, Kavita, A. S. M. Sanwar Hosen*, S. S. Sehgal, “Use of machine learning in air pollution research: a bibliographic perspective,” Electronics, vol. 11, no. 21, pp. 1-15, 2022. (SCIE)
M. Miah, S. Awang, M. M. Rahman, A. S. M. Sanwar Hosen, I.-H. Ra, “A New Unsupervised Technique to Analyze the Centroid and Frequency of Keyphrases from Academic Articles,” Electronics, vol. 11. no. 17, pp. 1-20, 2022. (SCIE)
C. Sharma, I. Batra, A. Malik, S. Sharma, A. S. M. Sanwar Hosen*, and I.-H. Ra, “Predicting Trends and Research Patterns of Smart Cities: A Semi-Automatic Review Using Latent Dirichlet Allocation (LDA),” IEEE Access, vol. 10, pp. 121080-121095, 2022. (SCIE)
S. Rajak, I. Muniraj, K. Elumalai, A. S. M. Sanwar Hosen*, I.-H. Ra, and S. Chinnaaduarai, “Energy Efficient Hybrid Relay-IRS-Aided Wireless IoT network for 6G Communications,” Electronics, vol. 11, no. 12, pp. 1-11, 2022. (SCIE)
S. Rajak, P. Selvaprabhu, S. Chinnadurai, A. S. M. Sanwar Hosen*, A. Saad, and A. Tolba, “Energy Efficient MIMO-NOMA aided IoT network in B5G Communications,” Computer Networks, vol. 216, pp. 1-8, 2022. (SCIE)
A. S. M. Sanwar Hosen, P. K. Sharma, and G. H. Cho, “SPTM-EC: A security and Privacy-Preserving Task Management in Edge Computing for IIoT,” IEEE Transactions on Industrial Informatics, vol. 18. No. 9, pp. 6330-6339, 2022. (SCIE)
N. Dey, M. S. Rahman, M. S. Mredula, A. S. M. Sanwar Hosen, and I.-H. Ra, “Using Machine Learning to Predict Events on the basis of Bengali and Banglish Facebook Posts,” Electronics, vol. 10, no. 9, pp.1-25, 2021. (SCIE)
M. Selim, M. H. Rahman, M. S. Rahman, A. S. M. Sanwar Hosen, C. Seo, and G. H. Cho, “Intellectual Property Theft Protection in IoT based Precision Agriculture using SDN,” Electronics, vol. 10, pp. 1-19, 2021. (SCIE)
A. S. M. Sanwar Hosen, P. K. Sharma, and G. H. Cho, “MSRM-IoT: a reliable resource management for cloud, fog, and mist assisted IoT networks,” IEEE Internet of Things Journal, vol. 9, no. 4, pp. 2527-2537, 2022. (SCIE)
T. Ghosh, M. H. A. Banna, M. S. Rahman, M. S. Kaiser, M. Mahmud, A. S. M. Sanwar Hosen, and G. H. Cho, “Artificial Intelligence and Internet of Things in Screening and Management of Autism Spectrum Disorder,” Sustainable City and Society, vol. 74, pp. 1-23, 2021. (SCIE)
N. Islam, F. Farhin, I. Sultan, M. S. Kaiser, M. S. Rahman, M. M. Mahmud, A. S. M. Sanwar Hosen, and G. H. Cho, “Towards Machine Learning based Intrusion Detection in IoT Networks,” Computers, Materials & Continua, vol. 69, no. 2, pp. 1801-1821, 2021. (SCIE)
S. Singh, A. S. M. Sanwar Hosen, and B. Yoon, “Blockchain Security Attacks, Challenges, and Solutions for the Future Distributive IoT Network,” IEEE Access, vol. 9, pp. 13983-139859, 2021. (SCIE)
M. H. Al-Banna, K. A. Taher, M. S. Kaiser, M. Mahmud, M. S. Rahmann, A. S. M. Sanwar Hosen, and G. H. Cho, “Application of Artificial Intelligence in Predicting Earthquakes: State-of-the-Art and Future Challenges,” IEEE Access, vol. 8, pp. 192880-192923, 2020. (SCIE)
I. Batra, S. Verma, A. Malik, Kavita, U. Ghosh, J. J. P. C. Rodrigues, G. N. Nguyen, A. S. M. Sanwar Hosen*, and V. Mariappan, “Hybrid Logical Security Framework for Privacy Preservation in the Green Internet of Things,” Sustainability, Vol. 12, no. 14, pp. 1-15, 2020. (SSCI and SCIE)
S. More, J. Singla, S. Verma, Kavita, U. Ghosh, J. J. P. C. Rodrigues, A. S. M. Sanwar Hosen, and I. H. Ra, “Security assured CNN-Based Model for Reconstruction of Medical Images on the Internet of Healthcare Things,” IEEE Access, vol. 8, pp. 126333-126346, 2020. (SCIE)
A. S. M. Sanwar Hosen, S. Singh, P. K. Sharma, U. Ghosh, J. Wang, I. H. Ra, and G. H. Cho, “Blockchain-based Transaction Validation Protocol for a Secure Distributed IoT Network,” IEEE Access, vol. 8, pp. 117266-117277, 2020. (SCIE)
A. S. M. Sanwar Hosen, S. Singh, M. S. Rahman, I. H. Ra, G. H. Cho and D. Puthal, “A QoS-aware data collection protocol for LLNs in Fog-enabled IoT,” IEEE Transactions of Network and Service Management, 2019. (SCIE)
A. S. M. Sanwar Hosen, S. Singh, V. Mariappan, M. Kaur, and G. H. Cho, “A secure and privacy preserving partial deterministic RWP model to reduce overlapping in IoT sensing environment,” IEEE Access, vol. 7, pp. 39702-39716, 2019. (SCIE)
K. S. Bhandari, A. S. M. Sanwar Hosen, and G. H. Cho, “CoAR: congestion-aware routing protocol for low power and lossy networks for IoT applications,” Sensors, vol. 18, no. 11, pp. 1-26, 2018. (SCIE)
A. S. M. Sanwar Hosen and Gi Hwan Cho, “ECCR: An energy centric cluster-based routing protocol for wireless sensor networks,” Sensors, vol. 18, no. 5, pp. 1-17, 2018. (SCIE)
A. S. M. Sanwar Hosen, G. H. Cho, and I. H. Ra, “An eccentricity based data routing protocol with uniform node distribution in 3D WSN,” Sensors, vol. 17, no. 9, pp. 1-19, Sep. 2017. (SCIE)
A. S. M. Sanwar Hosen and G. H. Cho, “An eccentricity-based data routing for 3D wireless sensor networks,” International Journal of Sensor Networks, vol. 24, no. 4, pp. 230-241, Aug. 2017. (SCIE)
A. S. M. Sanwar Hosen, J. S. Park, and G. H. Cho, “Utilizing the virtual triangulation for wireless indoor localization of mobile devices with channel state information,” International Journal of Multimedia and Ubiquitous Engineering, vol. 10, pp. 265-276, Sep. 2015. (SCOPUS)
S. Park, A. S. M. Sanwar Hosen, and G. H. Cho, “An DDS based architecture in supporting of data centric wireless sensor network environments,” International Journal of Control and Automation, vol. 7, no. 1, pp. 251-258, 2014. (SCOPUS)
A. S. M. Sanwar Hosen, K. S. Hae, and G. H. Cho, “An energy efficient cluster formation and maintenance scheme for wireless sensor networks,” Journal of Information and Communication Convergence Engineering, vol. 10, no. 3, pp. 276-283, 30 Sep. 2012. 9 (SCOPUS)
A. S. M. Sanwar Hosen, H. Lee, and G. H. Cho, “An energy aware network construction and routing method for wireless sensor network,” Journal of the Institute of Electronics and Information Engineers, vol. 49, no. 9, pp. 225-234, Sep. 2012. (SCOPUS)
Selected Conferences:
A. S. M. Sanwar Hosen, P. K. Sharma, D. Puthal, I.-H. Ra, and G. H. Cho, “SECBlock-IIoT: A Secure Blockchain-enabled Edge Computing Framework for Industrial IoT,” Proc of the International Symposium on Advanced Security on Software and Systems, ACM, Melbourne, VIC, Australia, 10 July, 2023.
A. S. M. Sanwar Hosen, I. H. Ra, and G. H. Cho, “A Secure IoT Network Architecture based on Service-aware Blockchain,” Proc. of the International Symposium on Information Technology Convergence (ISITC), Tianjin, China, 19-21 September, 2019.
A. S. M. Sanwar Hosen, G. H. Cho, and I. H. Ra, “A solution to the index coding problem using machine learning algorithm,” Proc. of the International Symposium on Information Technology Convergence (ISITC), Jeonju, Korea, 24-27 October, 2018.
A. S. M. Sanwar Hosen, G. H. Cho, and I. H. Ra, “An adaptive clustering and routing protocol for WSN in disaster safety network,” Proc. of the International Conference on Smart Media and Applications (SMA), Boracay, Philippines, 17-19 December, 2017.
A. S. M. Sanwar Hosen, G. H. Cho, K. Park, and I. H. Ra, “A novel clustering method with considering node connectivity for centralized disaster safety network with sensors,” Proc. of the International Conference on Software & Smart Convergence, Russia, June 2017.
A. S. M. Sanwar Hosen, G. H. Cho, and I. H. Ra, “Finding boundary and holes in wireless sensor networks,” Proc. of the Spring Conference of Korea Institute of Smart Media (KISM) and Society for e-Business Studies (SEBS), pp. 190-191, April 28, 2017, Seoul, South Korea. (Best paper award)
A. S. M. Sanwar Hosen and G. H. Cho, “A sensor deployment scheme with random and uniform node distribution in 3D wireless sensor networks,” Proc. of the International Conference on Smart Media and Applications (SMA), Tasmania, Australia, 5-8 Dec. 2016.
A. S. M. Sanwar Hosen and G. H. Cho, “A comprehensive analysis of overlapping sensing area of random waypoint mobility model in a 3D wireless sensor network,” Proc. of the International Symposium on Information Technology Convergence (ISITC), Shanghai, China, 14-15 Oct. 2016.
A. S. M. Sanwar Hosen and G. H. Cho, “An Energy-aware 3D-grid based distributed clustering protocol for WSNs,” Proc. of the International Conference on Smart Media and Applications (SMA), Vietnam, 2015.
A. S. M. Sanwar Hosen, J. S. Park, and G. H. Cho, “Applying the virtual triangulation to mitigate the CSI-based wireless indoor localization error,” Proc. of the International Symposium on Information Technology Convergence, Jeonju, Korea, 2014.
A. S. M. Sanwar Hosen and G. H. Cho, “Topic-based data merging and routing scheme in many-to-many communication for WSNs,” Proc. of the International Conference on Computational Science and Its Applications (ICCSA), Guimaraes, Portugal, LNCS 8581, Springer, pp. 779-794, 2014.
A. S. M. Sanwar Hosen and G. H. Cho, “A robust key management scheme based on node hierarchy for wireless sensor networks,” Proc. of the International Conference on Computational Science and Its Applications (ICCSA), Guimaraes, Portugal, LNCS 8580, Springer, pp. 315-329, 2014.
S. Park, A. S. M. Sanwar Hosen, and G. H. Cho, “An applicable architecture of DDS-based middleware for real-time wireless sensor networks,” Proc. of the Smart Media and Applications (SMA), 2013, Malaysia, 2013. (Outstanding paper award)
A. S. M. Sanwar Hosen and G. H. Cho, “Eccentricity-based data gathering and diameter-based data forwarding in 3D wireless sensor networks,” Proc. of the Mobile, Ubiquitous, and Intelligent Computing (MUSIC), Gwangju, Korea, LNEE 274, Springer, pp. 433-439, 2013.
A. S. M. Sanwar Hosen and G. H. Cho, “A design of WSN model to minimize data-centric routing cost for many-to-many communication,” Proc. of the IT Convergence and Security, Korea, LNEE 215, Springer, pp. 597-604, 6 Dec. 2012.
A. S. M. Sanwar Hosen and G. H. Cho, “An Effective routing cost approximation in many-to-many communication for wireless sensor networks,” Proc. of the Ubiquitous Information Technologies and Applications (CUTE 2012), Hong Kong, LNEE 214, Springer, pp. 145-155, 21 Dec. 2012.
A. S. M. Sanwar Hosen and G. H. Cho, “Applying a minimum routing cost spanning tree to many-to-many in wireless sensor network,” Proc. of the 6th International Conference on Convergence and Hybrid Information Technology, Korea, LNCS 7425, Springer, pp. 79-86, 23-25 Aug. 2012.
M. Hanif, M. Lee, R. Shin, and A. S. M. Sanwar Hosen, “Pilot-based channel estimation in two-way amplify-and-forward relay networks,” Proc. of the IEEE- ICIEV, Dhaka, Bangladesh, pp. 996-999, 2012.
A. S. M. Sanwar Hosen and G. H. Cho, “Energy aware landmark election and routing protocol for grid-based wireless sensor network,” Proc. of the KIPS, Jeju, Korea, 2011.
B.G. Kim, “A Study on the Quality of Index Matching Gel for Field-Assembled Connectors,” 2013.
B.G. Kim, “A Study on the Development of a Fiber-Optic Switching System (FOSS) for Backbone Network Protection,” 2012.
B.G. Kim, “A Study on the Development of an Optical Protection Switching System (OPSS) for IP Networks,” 2011.
B.G. Kim, “A Study on the Development of a Multi-Functional Optical Cross-Connection System (MFOCS),” 2011.
B.G. Kim, “Installation Performance of Microduct Optical Cables Using Air Pressure,” 2010.
B.G. Kim, “Evolution Direction of Access Networks,” 2009.
B.G. Kim, “A Study on the Recycling Technique for Jelly-Filled Copper Cable,” 2008.
B.G. Kim, “FTTH OSP Deployment and Service Provision Using CWDM-PON in Multi-Dwelling Units (MDUs),” 2007.
B.G. Kim, “WDN-PON-Based Quasi-FTTH Optical Access Network Technology,” 2005.
B.G. Kim, “Analysis of the Impact of Reflective Loss in E-PON Optical Distribution Networks,” 2005.
기타: (특허) 광분배 시스템 및 광분배 방법 외 18건 (1989 ~ 2023)
프로젝트
국책과제: 스마트건설기술개발 (플랫폼 개발), 2020.3 ~ 2023.04
Cloud Data Center 에너지 효율을 위한 Immersion Cooling 기술개발, 2022.3 ~ 2023.5
Optical Sensing System 및 Platform 개발, 2021
KT–HD현대중공업(조선) 공동프로젝트 참여 (광센싱을 이용한 선박안전 모니터링 기술개발), 2020 ~ 2021
DTS (Distributed Temperature Sensing), DAS (Distributed Acoustic Sensing) 개발, 2018 ~ 2019
SDN (Software Defined Networking) - L2 S/W 자동 Config 개발, 2016 ~ 2018
동케이블 활용방안 프로젝트 수행, 2013 ~ 2016
BBx (BroadBand X) 개발, 2006 ~ 2010
광 인프라 연구 (FTTH, FTTP, 네트워크 설계), 1994 ~ 2006
155M 전송장비 개발, 1992 ~ 1994
Prashant Kumar
직위 : 교수
전공 : Electrical Engineering and Artificial Intelligence
연락처 : 042-629-6642
이메일 : prashant@wsu.ac.kr
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 motors, industrial robots, and electric vehicles
Career
Assistant Professor (April 2025 – Present), Woosong University, Daejeon
Assistant Professor (March 2023 – March 2025), Dongguk University, Seoul
Visiting Professor (May 2022 – February 2023), Dongguk University, Seoul
Selected Publications (Journal Papers)
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.
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.
석사 - Stanford Graduate School of Business - Program in Innovation and Entrepreneurship 수료, 2011
석사 - Boston University, Business Administration/Project Management, 2008
학사 - University of California at Berkeley, 응용수학/컴퓨터사이언스, 1987
강의과목
예비사장되기 창업가정신, 솔브릿지/뱁슨 Young Founders Entrepreneurship Program - AI Lean Startup Toolkit for Entrepreneurs, AI빅데이터학과 Data Structure, 교양과목-Computational Thinking and App
연구분야
Startup, Entrepreneurship, AI integrated Evidence-based Entrepreneurship Model
주요경력
우송대학교 엔디컷국제대학 부교수, 2024~현재
우송대학교/솔브릿지 국제경영대학 창업센터장, 2024~현재
Everstone Investment Group, Tenuine사 외 자문, 2022~2024
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 ~ Feb 2023, Assistant Professor in the Department of Industrial and System Engineering, Dongguk University, Seoul, South Korea
Sep. 2019 ~ Feb. 2020, Postdoctoral Research Fellow, Kunsan National University, South Korea
Sep. 2015 ~ 2016, Research Scholar in Seoul National University of Science and Technology, South Korea
Teaching Assistantship during M.E., Thapar University, Patiala, India (2012–2014)
Industrial Training at Hewlett-Packard Training Center, 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).
Sharad Jain, 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.
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.
Saurabh Singh, 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.
Nusrat Rouf, 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).
Joydev Ghosh, 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,” South 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 and 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
김영일
직위 : 교수
연락처: 042)630-9962
이메일 : ed.kim@wsu.ac.kr
학위
석사 - 경북대학교, 전자공학과 전자계산학전공, 1987
학사 - 경북대학교, 전자공학과 전자계산학전공, 1985
강의과목
캡스톤 프로젝트, 운영체제, 컴퓨터 네트워크, Embedded SW and IOT
연구분야
다양한 산업체에 AI를 활용하여 업무 효율화를 시킬 수 있는 분야 연구
주요경력
우송대학교 AI빅데이터학과 교수, 2021.9 ~ 현재
삼성전자 연구원, 1987.1 ~ 2021.9
주요논문 - 프로젝트
AI기반 의료 방사선 장비 QA 지원 시스템 개발, 2025.3 ~ 2025.6
AI 훈련용 Dataset 라벨링 자동화 툴 개발, 2025.3 ~ 2025.6
AI-Based Crowd Counting in Subway and Underground Mall, 2025.3 ~ 2025.6
AI-Based Traffic Analysis in Cross Road, 2025.3 ~ 2025.6
DEFECTIVE PRODUCT DETECTION SYSTEM IN STEEL MANUFACTURING FACTORY, 2024.3 ~ 2024.6
AI-POWERED IRON BAR INSPECTION SYSTEM, 2024.3 ~ 2024.6
CRIME-RELATED OBJECT DETECTION AND CLASSIFICATION SYSTEM, 2024.3 ~ 2024.6
CRIME SCENE DETECTION, 2024.3 ~ 2024.6
OBJECT DETECTION IN LOW-CAPACITY MODEL, 2024.3 ~ 2024.6
하수처리장 화학물질 농도 이상 탐지 및 예측 시스템, 2023.9 ~ 2023.12
SNS 플랫폼 장애 탐지 시스템, 2023.9 ~ 2023.12
생활폐기물 수거 효율화 시스템, 2023.9 ~ 2023.12
New Checkie Facilities in Inspection Manager, 2023.3 ~ 2023.6
Text Summarization and Keyword Extraction, 2022.3 ~ 2022.6
Deblurring Car License Plate Image, 2022.3 ~ 2022.6
Drug Detection, 2022.3 ~ 2022.6
미국방부 5G 이동통신 장비 Trial 과제, 2021.6~2021.9
5G 삼성 기지국 – 퀄컴 단말간 이동통신 표준 개발 호환성 시험(IODT), 2019.11~2021.5
Sprint향 5G MMU(다중 사용자 다중 입출력 Radio Unit) 개발, 2017.8~2019.10
무선랜(WLAN) 제품 개발, 2012.1~2017.7
기업용 VoIP 제품 개발, 2009.1~2011.12
기업 데이터 네트워크용 Switch Router 제품 개발, 2004.1~2008.12
통신 사업자향 Core Router 개발, 2001.1~2003.12
기업향 L2/L3 Ethernet Switch 제품 개발, 1995.5~2000.12
FDDI Concentrator 개발, 1992.4~1995.4
중앙일보 신문전산화 시스템 개발, 1991.1~1992.3
인공지능 Neural Network 연구, 1989.1~1990.12
Engineering Workstation 개발, 1987.1~1988.12
Han Kai
직위 : 교수
이메일 : wangyan@wsu.ac.kr
Multimedia Document Architecture Modeling, Computer Graphics, Web Services, Semantic Web, Ontology, Usn, IoT, Embedded System, Big Data, and Hadoop
Wang Yan
직위 : 교수
이메일 : wangyan@wsu.ac.kr
Data Mining and Machine Learning, Big Data and Statistical Analysis, Numerical Analysis, Operational Research, Financial Engineering, Econometrics, Behavioral Analysis
Sreekanth Madisetty
직위 : 교수
전공 : Natural Language Processing and Information Retrieval
학력사항
Ph.D. in Computer Science and Engineering, Indian Institute of Technology Hyderabad, India
M.Tech. in Computer Science and Technology, Andhra University, Visakhapatnam, India
B.Tech. in Computer Science, and Engineering, JNTU Anantapur, Anantapuramu, India
Ph.D. / Middle East Technical University – Graduate School of Natural and Applied Sciences - Department of Computer Education and Instructional Technology – Ph. D. Program, 2011.
MS / Middle East Technical University – Graduate School of Social Sciences - Department of Educational Sciences – Curriculum and Instruction M. Sc. Program, 2004.
BS / Middle East Technical University – Faculty of Education - Department Computer Education and Instructional Technology – Undergraduate Program, 2001.
Teaching subjects
Ethical AI, AI in Industry, AI for Business, Fundamentals of Industry 4.0, Software Engineering, Database Management, Statistics, Research Methods, Quantitative and Qualitative Research Methods, How Technology Shapes Society, Computing Systems, Managing Digital Firms.
Research area
Social Media, Educational Technology, Curriculum and Instruction Design, Technology Management and Planning, Industry 4.0, Artificial Intelligence, Ethical AI, AI Literacy, Virtual Realities and Metaverse.
Selected Publications
Karaarslan, E., Aydın, Ö., Yazıcı Yılmaz, S., Tinmaz, H., et al. (2025). Shaping the future of Metaverse research: Innovation, collaboration, and Journal of Metaverse’s academic impact. Journal of Metaverse, 5(2), 73-91. https://doi.org/10.57019/jmv.1664054
Geng, W., & Tinmaz, H. (2025). A study on the impact of Xiaohongshu on university students’ consumption behavior. Journal of Asian Pacific Communication. Advance online publication. https://doi.org/10.1075/japc.00113.wei
Xiaolan, W., & Tinmaz, H. (2024). Exploring university teachers’ perceptions of Metaverse integration in higher education: A quantitative study from China. Journal of Metaverse, 4(2), 165-176. https://doi.org/10.57019/jmv.1582429
Tinmaz, H. & Dhillon, P. K. S., (2024). User-centric avatar design: A cognitive walkthrough approach for metaverse in virtual education. Data Science and Management, 7(4), 267-282. https://doi.org/10.1016/j.dsm.2024.05.001
Geng, W. & Tinmaz, H. (2024). A case study on the impact of the TikTok use of Chinese university students. International Journal of Technology Enhanced Learning, 16 (3), 267- 281. https://doi.org/10.1504/IJTEL.2024.139700
Li, H., Tinmaz, H. (2024). Knowledge mapping of research on teachers’ digital competence in China: A bibliometric analysis using CiteSpace. Journal of Computers in Education, 12(1), 315–338. https://doi.org/10.1007/s40692-023-00311-w
Dhillon, P. K. S., & Tinmaz, H. (2024). Academic augmentation: Analyzing avatar design in educational Metaverse. Journal of Metaverse, 4(1), 54-70. https://doi.org/10.57019/jmv.1440122
Dhillon, P. K. S. & Tinmaz, H. (2024). Immersive realities: A comprehensive guide from virtual reality to metaverse. Journal for the Education Gifted Young Scientists, 12 (1), 29-45. http://dx.doi.org/10.17478/jegys.1406024
Tinmaz, H. & Fanea-Ivanovici, M. (2024). The Metaverse – The next big thing in education: A systematic literature review. Milli Egitim [National Education], 53 (242), 827-854. https://doi.org/10.37669/milliegitim.1235647
Li, H., Wu, X. & Tinmaz, H. (2024). Online learning ability of Chinese university students and its influencing factors. TechTrends, 68. 243-256. https://doi.org/10.1007/s11528-024-00931-8
Liu, Y. & Tinmaz, H. (2024). Exploring the Metaverse as the next frontier for a living library experience. Library Hi Tech News, 8, 1-5. https://doi.org/10.1108/LHTN-12-2023-0221
Wu, Z., Yang, D. & Tinmaz, H. (2024). Chinese kindergarten teachers’ opinions on advanced technology use. Journal of Research in Childhood Education, 38(2), 279–294. https://doi.org/10.1080/02568543.2023.2239308
Selected Projects
Researcher for South Korean government funded research project under the title of "서울시교육청 메타버스 정책연구 (Seoul Metro City Education Department Metaverse Policy Research Project). November 2021 – April 2022.
Development & Research Manager for “Digital Transformation Intensive Major Convergence Sub-Track Curriculum Development” Project. 2021.06.25. - 2021.11.19. Designing the entire curriculum for digital transformation minor track with the following six-course, their 15-week schedule and lecture notes (only first three courses):
Digital Disruption and Transformation & the Industry 4.0 and Digital Transformation & Managing Digital Firms
AI-Driven Digital Transformation & Blockchain Technology for Digital Business Model & Digital Data Literacy in Digital Transformation
Research Director for “Building Technological Pedagogical Content Knowledge (TPACK) for Bio Healthcare” track in “2021 Bio-Health Innovation Sharing University Policy Research Service Project”. 2021.11.08 - 2022.02.07
Co-researcher for “Enhancement of PBL by using Real-Time Bio -Medical Healthcare data” track in “2021 Bio-Health Innovation Sharing University Policy Research Service Project”. 2021.11.01 - 2022.02.09
Ph.D. in Computer Science, University of Essex, United Kingdom
M.Sc. in Applied Mathematics, University Malaysia Terengganu, Malaysia
B.Sc. in Financial Mathematics, University Malaysia Terengganu, Malaysia
Jia Uddin
직위 : 교수
전공 : Computer engineering 전공
연락처 : 042)630-9785
이메일 : jia.uddin@wsu.ac.kr
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 – Present), 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 – June 2018), Department of Computer Science and Engineering, Brac University, Bangladesh
PhD Researcher (September 18, 2011 – December 2014), Embedded System Lab, University of Ulsan, Room 303, Building 7, Ulsan, South Korea (http://eucs.ulsan.ac.kr/student)
Assistant Professor (February 1, 2011 – August 2011 & December 2014 – April 2015), Department of Computer and Communication Engineering, Faculty of Science and Engineering, International Islamic University Chittagong, Bangladesh
Lecturer (August 14, 2005 – January 31, 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)
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, IF 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, 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)
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).
Preethi Ananthachari
직위 : 교수
전공 : Discrete Mathematics, Honours Mathematics, Mobile Communication, Wireless Sensor Technology, 5G, IoT, Machine Learning and Data Analytics and Robotics 전공
