Prabhat Kumar
Biography
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 Project Officer 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 45+ top-tier journal/conference articles, including 15+ 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 TVT, 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, ACM TOIT, 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 1700 times with h-index 20 (Google Scholar).
IoT Security: The first domain of his research focuses on IoT Security. Here, he explores the vulnerabilities inherent in IoT devices, which are increasingly embedded in our daily lives. His work includes developing robust protocols for secure communication between IoT devices, designing frameworks for detecting and mitigating cyber threats in real-time, and formulating strategies for enhancing the overall security posture of IoT ecosystems. A significant aspect of his research is understanding the unique challenges posed by the heterogeneous and distributed nature of IoT networks.
Computational Design Science: The second area of his research delves into Computational Design Science. This field is at the intersection of computer science, design thinking, and human-computer interaction. His work here involves developing algorithms and computational models that facilitate the design of secure, user-centric digital systems. A key focus is on how design principles can be algorithmically integrated into the development of software and hardware systems to enhance security and usability. This includes research on user behavior analysis, adaptive security systems, and the creation of design frameworks that prioritize security in the development lifecycle.