Dr. Santosh Kumar Das
Sarala Birla University, Ranchi, National Institute of Science and Technology
About
Santosh Kumar Das received his Ph.D. degree in Computer Science and Engineering from Indian Institute of Technology (ISM), Dhanbad, India, in 2018 and completed his M. Tech. degree in Computer Science and Engineering from Maulana Abul Kalam Azad University of Technology (erstwhile WBUT), West Bengal, India, in 2013. His previous working organization was National Institute of Science and Technology (Autonomous), Institute Park, Pallur Hills, Berhampur, Odisha, India. He is currently working as an Assistant Professor at the Department of Computer Science and Engineering, Sarala Birla University, Birla Knowledge City, P.O.-Mahilong, Purulia Road, Ranchi, India. He has more than ten years of teaching experience. He has authored/edited of ten books with Springer in series as Lecture Notes in Networks and Systems, Tracts in Nature-Inspired Computing and Studies in Computational Intelligence, Taylor & Francis, Apple Academic Press, and IGI Global. He has contributed more than 50 research papers. His research interests mainly focus on Ad-hoc & Sensor Networks, Artificial Intelligence, Soft Computing, and Mathematical modelling. His h-index is 18 with more than 1000 citations.
Employment
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Sarala Birla University, Ranchi Assistant Professor2021 - Present
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National Institute of Science and Technology Assistant Professor2018 - 2020
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (45)
- Enhancing security in IIoT: RFID authentication protocol for edge computing and blockchain-enabled supply chain Save
- An Efficient Mutual Authentication Scheme for Edge Computing Enabled IIoT Save
- Security Enhancement and Applications in IIoT for Smart City Services Save
- A light weight mutual authentication and key generation scheme for RFID systems used in Medical IoT Save
- IoT Security Enhancement System Save
- Constraint Decision-Making Systems in Engineering Save
- An Optimal Data Communication System in Wireless Sensor Network Using Artificial Neural Network Save
- An Efficient Data Mining Technique for an Intrusion Detection System in Network Save
- Artificial Intelligence Techniques in Human Resource Management Save
- A non-linear multi-objective technique for hybrid peer-to-peer communication Save