Vandana Sharma

About

Dr. Vandana Sharma is an Associate Professor at CHRIST (Deemed to be University),
Delhi NCR, India. Dr. Sharma has served NAAC-accredited A++ institutions like Guru Gobind Singh Indraprastha University, Delhi and Galgotias University, Greater Noida Campus and Amity Institute of Information Technology, Amity University Noida Campus, India. Dr. Sharma has 15 + years of teaching experience at the postgraduate level and has guided 100+ student dissertations. Dr. Sharma obtained her doctoral degree from Amity University, Masters of Technology and Bachelor of Electronic Commerce degrees from Guru Gobind Singh Indraprastha University, a Delhi state university in India. She is a Senior Member of IEEE, member of Women in Engineering Society and member of IEEE Consumer Technology Society popularly known as CTSoc. As a keen researcher, she has published 50+ research papers in SCI and Scopus Indexed international journals and conferences. Dr. Sharma has contributed voluntarily as a keynote speaker, session chair, Reviewer and Technical Program Committee (TPC) member for reputed International Journals and IEEE Conferences and has presented her work across India and abroad. Currently, she is a post-doctoral fellow at Lincoln University College, Malaysia. Also, She is honorary Adjunct Professor and Senior Fellow of Scientific Innovation Research Group (SIRG) at Beni Suef University, Egypt and adjust Professor at Perdana University, Malaysia. Her primary areas of interest include Artificial Intelligence, Blockchain Technology and the Internet of Things (IoT).

Employment

• Christ University Delhi NCR Assoc Professor
  2023 - Present
• Amity University Assoc Professor
  2022 - Present
• Galgotias University Professor
  2022 - 2022
• BCIIT Asst. Professor
  2008 - 2022

Education

• Amity University Ph.D
  2014 - 2020
• Guru Gobind Singh Indraprastha University M.Tech
  2009 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (253)

• Client-Side Predictive Component Pre-Rendering Using Lightweight Machine Learning
  2026 DOI: 10.1109/CI2A69097.2026.11576865
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• Evaluating Centralised and Federated Learning YOLOv8-Based Object Detection for Intelligent Transportation Systems
  2026 DOI: 10.1109/CI2A69097.2026.11576852
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• Initialisation Strategies and Convergence Behaviour in Federated YOLOV8-Based Object Detection for Intelligent Transportation Systems
  2026 DOI: 10.1109/CI2A69097.2026.11576985
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• Post-Quantum Vulnerability Assessment in Financial Systems Using a Hybrid Cryptography Framework
  2026 DOI: 10.1109/CI2A69097.2026.11576772
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• Securing IoMT Transmission using Cardiac Signature based Lightweight Cryptography
  2026 DOI: 10.1109/CI2A69097.2026.11577024
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• Emotionally Adaptive AI Companions for Supporting Routine Management in Autistic Adolescents
  2026 DOI: 10.1109/IC3ECSBHI67834.2026.11469147
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• Psycho-Intelligent Dialogue Agents for Enhancing Emotional Self-Regulation in Autistic Teenagers
  2026 DOI: 10.1109/IC3ECSBHI67834.2026.11468965
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• A Comparative Study on IOT Security Using Machine Learning Techniques
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-981-96-8107-5_32
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• A Practical Quantum-Resistant Security Evaluation Framework for Blockchain Infrastructure
  International Conference on Connected Intelligence for Industrial Applications Ci2a 2026 2026 DOI: 10.1109/CI2A69097.2026.11577073
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• A Robust Model for Quantum-Resistant Cryptography to Tackle Quantum Risks
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-3-032-05117-2_8
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