Dr. Rajesh Kumar Badrana

Assistant Professor, Department of Computer Science & Engineering

Interest Area(s)

  • Cyber Security: Anomaly Detection and Access Control
  • Blockchain: Hyperledger Fabric, Off-chain Architectures
  • Industrial IoT (IIoT): AI-driven Trust Management Systems
  • Quantum Computing and Post-Quantum Cryptography (PQC)
  • Quantum-secure IoT: Architectures for Quantum-resilient Networks
  • Computer Networks, Operating Systems, Cryptography and Data Structures 

Dr. Rajesh Kumar Badrana is an Assistant Professor in the Department of Computer Science and Engineering, School of Engineering and Technology, K.R. Mangalam University. He received his Ph.D. in Computer Engineering from J.C. Bose University of Science and Technology, YMCA, Faridabad, where he developed an AI-driven dynamic trust management and blockchain-based framework for securing IoT systems. He holds an M.Tech. in Computer Science and a B.Tech. in Information Technology from Maharshi Dayanand University, and has qualified UGC-NET JRF and GATE. With over a decade of experience spanning school teaching, industry IT training and university teaching, he believes security is best learned by doing, and builds his courses around hands-on labs with real tools. His research covers blockchain, Industrial IoT security, anomaly detection and post-quantum cryptography. He has published in SCIE (Q2) journals and IEEE conferences, holds a published Indian patent, and received the Best Paper Award at IEEE CCICT 2024. 

  • Ph.D. (Computer Engineering), J.C. Bose University of Science and Technology, YMCA, Faridabad (2020–2025). Thesis: “Design of a Reliable Framework for Securing Information in IoT System Using Blockchain” (Supervisor: Dr. Rewa Sharma) 
  • M.Tech. (Computer Science), Maharshi Dayanand University, Rohtak (2016–2018), CGPA 7.66
  • B.Tech. (Information Technology), Maharshi Dayanand University, Rohtak (2008–2012), 72%
  • Qualified UGC-NET JRF (2018), GATE (2013, 2015) and HTET (2016, 2022)

Total 8+ years (university teaching, research, and IT training)

  • Assistant Professor, Department of CSE (SOET), K.R. Mangalam University, Gurugram — July 2025 to Present. Teaching UG/PG courses in Cyber Security, Blockchain and AI; designing curriculum and lab manuals aligned with outcome-based education; supervising student projects; NBA Criterion 3 (CO-PO Attainment) Coordinator; School Placement Coordinator; resource person for Blockchain 3.0 and Hyperledger Fabric sessions at the Centre of Excellence in Cyber Security.
  • Senior Research Scholar & Teaching Assistant, Department of Computer Engineering, J.C. Bose University of Science and Technology, YMCA, Faridabad — Feb 2020 to May 2025. Taught UG courses and labs (12 hrs/week) including Computer Networks, Blockchain, Operating Systems and Machine Learning; assessment, evaluation and student mentoring. 
  • Centre Manager & IT Trainer, DDU-GKY, TeamLease Training Centre, Gurugram — July 2018 to Jan 2020. Promoted from IT Trainer to Centre Manager; trained students in IT-ITES, productivity tools, operating systems and computer security; managed centre operations, placements and hostels.

SCIE Journals (Q2): 2 | IEEE Conferences: 3 | Book Chapters: 2 | Patent: 1 | Under

Review: 1

  • Journal: Rajesh Kumar, Rewa Sharma (2025). “AI-driven dynamic trust management and blockchain-based security in industrial IoT.” Computers and Electrical Engineering, 123, 110213 (SCIE, Q2, IF 4.9). DOI: 10.1016/j.compeleceng.2025.110213
  • Journal: Rajesh Kumar, Rewa Sharma (2022). “Leveraging Blockchain for Ensuring Trust in IoT: A Survey.” Journal of King Saud University – Computer and Information Sciences, 34(10), 8599–8622 (SCIE, Q2, IF 6.2). DOI: 10.1016/j.jksuci.2021.09.004
  • Patent: Rajesh Kumar (2026). “AI and Blockchain-Based Adaptive Off-Chain Trust Aggregation and Autonomous Validation Framework for Secure IoT Networks.” Indian Patent Application No. 202611015953, published in Patent Office Journal No. 13/2026 (27 Mar 2026); examination requested.
  • Under Review: Rajesh Kumar, Rewa Sharma. “Enhancing Trust Decision-Making in IIoT: PID-Controlled Adaptive Thresholding in AI-Driven Blockchain-Based Framework.” Communicated to Blockchain: Research and Applications (Elsevier, Scopus Q1), Nov 2025. 

Conferences/ Symposiums: 3 

  • Rajesh Kumar, Rewa Sharma (2024). “A Comprehensive Approach to Industry 4.0 Security: Blockchain and Dynamic Access Control Integration.” 2024 IEEE 6th International Conference on Computational Intelligence and Communication Technologies (CCICT), pp. 477–484. DOI: 10.1109/CCICT62777.2024.00080 — Best Paper Award
  • Rajesh Kumar, Rewa Sharma (2024). “Enhancing Scalability and Performance in IoT Networks through Off-Chain Data Processing and Blockchain Integration.” 2024 IEEE International Conference on Communication, Computing and Signal Processing (IICCCS), pp. 1–6. DOI: 10.1109/IICCCS61609.2024.10763678
  • Rajesh Kumar, Rewa Sharma (2023). “Blockchain-based Model for Secure and Trusted IoT System.” 2023 IEEE International Conference on Advanced Computing & Communication Technologies (ICACCTech), pp. 743–750. DOI: 10.1109/ICACCTech61146.2023.00123

Book Chapters: 2 

  • Mamta Tiwari, Rajesh Kumar, et al. (2026). “Convergence of High-Performance Computing and AI Models for Precision Diagnostics in CT-Based Lung Cancer Imaging.” In AI Supercomputing Platform: Architecture, Frameworks and Applications. Scrivener Publishing (Wiley). Accepted for publication.
  • Rajesh Kumar, Rewa Sharma (2022). “Managing Trust in IoT using Permissioned Blockchain.” In K. Kaushik, S. Dahiya et al. (Eds.), Internet of Things and Cyber Physical Systems: Security and Forensics. CRC Press, Taylor & Francis Group, USA.
  • Best Paper Award, IEEE CCICT 2024
  • Indian Patent Published (Application No. 202611015953), 2026
  • Developed an AI-driven dynamic trust management framework for IoT systems (Ph.D. research)
  • Qualified UGC-NET JRF (2018, first attempt); GATE (2013, 2015); HTET (2016, 2022)
  • NBA Criterion 3 (CO-PO Attainment) Coordinator and School Placement Coordinator, K.R. Mangalam University
  • Resource person for Blockchain 3.0 and Hyperledger Fabric sessions, Centre of Excellence in Cyber Security
  • Completed multiple AICTE ATAL FDPs and workshops on Blockchain, Computer Vision, Image Processing and 5G