Dr. Nikhil Sharma

About

Dr. Nikhil Sharma is an academician and researcher specializing in secure and intelligent systems for the Internet of Medical Things (IoMT), with research interests spanning Deep Learning, Blockchain, Explainable Artificial Intelligence (XAI). He completed his Ph.D. in Computer Science and Engineering from Delhi Technological University (DTU), Government of NCT of Delhi, in 2025. He received his M.Tech. from Ambedkar Institute of Advanced Communication Technologies & Research (now Netaji Subhash University of Technology East Campus), Delhi, and his B.Tech. from Guru Gobind Singh Indraprastha University, Delhi, India.

Dr. Sharma is currently serving as a faculty member at the Sharda School of Computing Science and Engineering, Sharda University, Greater Noida. He has over 7 years of academic experience in teaching, research, and mentoring undergraduate and postgraduate students.

His research focuses on developing scalable, secure, and privacy-preserving intelligent healthcare systems by integrating advanced technologies such as Deep Learning, Blockchain, Explainable AI, and Reinforcement Learning. His work addresses critical challenges in IoMT security, cyberattack detection, medical data privacy, and trustworthy AI-driven healthcare applications.

Dr. Sharma has authored numerous research articles published in reputed SCI/SCIE-indexed journals and actively serves as a reviewer for leading international publishers, including IEEE, Springer, Elsevier, Sage Journals, Taylor & Francis, Bentham Science Publishers, Inderscience Publishers, and Wiley. He also serves as a reviewer for Scopus-indexed edited book proposals and reviewer for Scopus-indexed books, contributing to the quality assurance of scholarly publications in emerging areas of computing and information technology. According to Google Scholar, his publications have received 1,867 citations, with an h-index of 26 and an i10-index of 45, demonstrating the significant impact of his research contributions.

In addition to his research activities, he serves as a Technical Program Committee (TPC) member in more than 25+ conferences, Session Chair, and reviewer for several prestigious international conferences. His academic excellence has been recognized through multiple honours, including the Research Excellence and Innovation Award, Best Paper Award, and Best Presenter Award.

Experience

• 7 Years

Qualification

• Diploma, Guru Nanak Dev Polytechnic, Rohini, Govt. of NCT of Delhi
• B.Tech., Guru Gobind Singh Indraprastha University, Delhi
• M.Tech. from Ambedkar Institute of Advanced Communication Technologies & Research (now Netaji Subhash University of Technology East Campus), Delhi
• Ph.D., Delhi Technological University (DTU), Government of NCT of Delhi

Award & Recognition

• Research Excellence and Innovation Award under the Commendable Research Award category for publishing a high-quality SCI-indexed research paper, conferred by Delhi Technological University (DTU), Government of NCT of Delhi, along with a award of ₹50,000.
• Best Paper Award for Paper Titled “Web Based Attacks & Its Mitigation Techniques” in ICPR-2017, held at AIACTR, Delhi.
• Best Presenter Award for Paper Titled “Performance Measurement Using Different Shortest Path Techniques in Wireless Sensor Network” in 2019 2nd International Conference on Signal Processing and Communication (ICSPC).

Research

Journals

• Sharma, N., & Shambharkar, P. G. (2025). Multi-Layered Security Architecture for IoMT Systems: Integrating Dynamic Key Management, Decentralized Storage, and Dependable Intrusion Detection Framework, International Journal of Machine Learning and Cybernetics, Springer. https://doi.org/10.1007/s13042-025-02628-7 (Published- SCIE I.F.-2.9)
• Sharma, N., & Shambharkar, P. G. (2025). Transforming Security in Internet of Medical Things with Advanced Deep Learning-Based Intrusion Detection Frameworks. Applied Soft Computing, Elsevier. (Published- SCIE I.F.-7.8)
• Sharma, N., & Shambharkar, P. G. (2025). Blockchain-Based Framework for Secure Medical Data Sharing and Disease Diagnosis Using Optimized Deep Belief Networks, Cluster Computing, Springer. (Published - SCIE I.F.-5.5)
• Sharma, N., & Shambharkar, P. G. (2025). Enhancing Internet of Medical Things Security: A Multi-Layered Approach Using Dynamic Adaptive Deep Reinforcement Learning and Blockchain. Computer and Electrical Engineering, Elsevier. (Published - SCIE I.F.-5.5).
• Sharma, N., & Shambharkar, P. G. (2025). XAI-Driven Multi-Attention DeepCRNN for Enhanced Cyberattack Detection in Internet of Medical Things Environments. Pervasive and Mobile Computing, Elsevier. (Published - SCIE I.F.-3.9)

Journal = 8

Book Chapters = 22

Conferences = 43

Patents

• AI-Based Device for detecting Fraudulent One-Time Password (OTP) Generation Request, The Patent Office Journal No. 38/2025, Dated- 19/09/2025.
• Blockchain-based Blue Carbon Registry and MRV system, The Patent Office Journal No. 49/2025, Dated- 05/12/2025.
• Portable Microplastic Detection System, The Patent Office Journal No. 49/2025, Dated- 05/12/2025.
• Smart Water Quality Monitoring System, The Patent Office Journal No. 49/2025, Dated- 05/12/2025.
• Smart Hump with Energy Harvesting System, The Patent Office Journal No. 49/2025, Dated- 05/12/2025.

Patents = 7

Certifications

• Successfully completed Faculty Development Programme on Digital Transformation, AI Integration and E-Governance in Higher Education conducted from 4th to 8th May 2026, organized by Poornima University.
• Successfully completed the AR/VR Immersive Technologies Training & Project Program (September 1 - November 15, 2025) held at GL Bajaj Campus, Knowledge Park - III, Greater Noida (UP).
• Successfully completed the 40 hours of Virtual APEX Faculty Development Program on IoTDE and recognized as a mentor in IoTDE.
• Successfully completed one-week Online Short-Term Course on "Demystifying Intellectual Property For Research Integrity and Economic Development" organized by the Department of Computer Science & Engineering, Delhi Technological University, Delhi held from March 13 to 17, 2023.

Attended AICTE Training and Learning (ATAL) Academy Online Elementary Five Days Online FDP on " Internet of Things" from 08/02/2022 to 12/02/2022 at Technocrats Institute of Technology, Bhopal M.P.

Area of Interest

• Blockchain,
• Cyber Security,
• Deep Learning,
• Explainable AI,
• Internet of Things.