Prabhat Kumar

Prabhat Kumar
Post-doctoral researcher
Software Engineering
LUT School of Engineering Sciences
LUT Focus Areas
Other Focus Area
Research areas
Computer Networks and Communications
Artificial Intelligence


Prabhat Kumar: received his Ph.D. degree in Information Technology, National Institute of Technology Raipur, Raipur, India, under the prestigious fellowship of Ministry of Human Resource and Development (MHRD) funded by the Government of India in 2022. Thereafter, he worked with Indian Institute of Technology Hyderabad, India, as a Post-doctoral Researcher under project ”Development of Indian Telecommunication Security Assurance Requirements for IoT devices”. He is currently working as Post-doctoral Researcher with the Department of Software Engineering, LUT School of Engineering Science, LUT University, Lappeenranta, Finland. He has many research contributions in the area of Machine Learning, Deep Learning, Federated Learning, Big Data Analytics, Cybersecurity, Blockchain, Cloud Computing, Green Internet of Things, Digital Twin, Smart Healthcare System and Software Defined Networking. 

He has authored or co-authored over 35+ top-tier journal/conference articles, including 13+ IEEE TRANSACTIONS papers. One of his Ph.D. publication was recognized as a top cited article by WILEY in 2020-21. Some of his research findings are published in top cited journals and conferences, such as IEEE TII, IEEE JBHI, IEEE TITS, IEEE TNSE, IEEE TGCN, IEEE TCE, IEEE IoT-J, IEEE Intelligent Systems, IEEE Communications Magazine, IEEE Network Magazine, IEEE Consumer Electronics Magazine, IEEE MICRO, JSA (Elsevier), ComCom (Elsevier), Comnet (Elsevier), JPDC (Elsevier), ICDCN, IEEE ICC, ACM MobiCom and IEEE GLOBECOM. He is an Expert Evaluator of top scientific journals and conferences, including IEEE TII, IEEE TITS, IEEE TNSE, IEEE TGCN, IEEE JBHI, IEEE IoTJ, IEEE Network Magazine, IEEE IoT Magazine, IEEE Access, ACM TALLIP, ComCom and IEEE ICC. He has served as the guest associate editor of IEEE and Elsevier journals including IEEE Transactions on Consumer Electronics, and Computers and Electrical Journal. He is IEEE Consumer Technology Society (CTSoc) Technical Committee member in Machine learning, Deep learning, and AI in Consumer Electronics. He has served as a program co-Chair, and a Technical Program Committee member for major conferences, including IEEE ICCE and ACM CCS. He is also an IEEE Member. His research has been cited over 1000 times with h-index 18 (Google Scholar).

Elsewhere in the web


IoT Security and Privacy, Machine Learning, Deep and Federated Learning, Intrusion Detection System, Software Defined Networking and Blockchain