Prabhat Kumar

Prabhat Kumar: received his Ph.D. degree in Information Technology, National Institute of Technology Raipur, Raipur, India, under the prestigious fellowship of the Ministry of Human Resource and Development (MHRD) funded by the Government of India in 2022. Thereafter, he worked with the Indian Institute of Technology Hyderabad, India, as a Project Officer under the project ”Development of Indian Telecommunication Security Assurance Requirements for IoT Devices”. He is currently working as a Post-doctoral Researcher with the Department of Software Engineering, LUT School of Engineering Science, LUT University, Lappeenranta, Finland. He is also an Adjunct Professor (Docent) of AI for Cybersecurity at LUT University, Finland. His multidisciplinary approach combines insights from IoT, network security, data analytics, and NLP, each contributing to solving critical cybersecurity challenges. His expertise can be outlined in two main areas:

1. IoT and Network Security: He has conducted extensive research on addressing security challenges related to IoT and smart network environments, utilizing AI and Blockchain techniques to enhance system robustness and resilience. This aspect of his research integrates IoT and network security within the AI for Cybersecurity framework. His work has appeared in various prestigious outlets, including IEEE Network Magazine, IEEE Communications Magazine, IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Consumer Electronics, ACM TOIT, Computer Networks, Journal of Parallel and Distributed Computing, IEEE ICC, ACM MobiCom, and IEEE GLOBECOM.
2. Predictive Analytics, NLP, and Software Vulnerability: In parallel, he has worked on predictive analytics and NLP, applying these techniques to cybersecurity, including software vulnerability detection. His work in this area has been published in major business and software-discipline journals and conferences. His research findings have been published in highly regarded outlets such as Decision Support Systems​​​​​​, Computers & Security, Software: Practice and Experience, ICIS, HICSS, and INFORMS WITS Workshop.

Furthermore, he has worked extensively on research projects involving deep learning, explainable AI, distributed and decentralized systems, and their applications in enhancing security systems for IoT environments and critical infrastructures. He has received two major research grants from CHIST-ERA / Academy of Finland—1.3 million Euros (Di4SPDS- https://di4spds.eu/) and 1.2 million Euros (Ai4MULTIGIS- https://www.ai4multigis.eu/)—supporting his work in developing innovative AI-driven solutions that address critical cybersecurity challenges, leveraging advanced methods and algorithms for threat detection, risk assessment, and system resilience. He also received a prestigious personal award of €5,000 from the Research Foundation of LUT University (Lauri ja Lahja Hotinen) in 2023, recognizing him as one of the top-performing postdoctoral researchers (research contribution) at LUT University.