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Academic Experts
Dr. Vikas Sharma

Biography

Dr. Vikas Sharma is a passionate researcher and academician in Computer Science and Engineering, with expertise in Digital Twin technology, Artificial Intelligence, and Healthcare Informatics. He has completed his Ph.D. from the Department of Computer Science and Engineering at Delhi Technological University (DTU), New Delhi, where his research focused on the design and development of a Digital Twin-based healthcare framework for intelligent diagnosis and personalized patient care. His research primarily explores the integration of AI, IoT, and Digital Twin technologies to build secure, efficient, and adaptive healthcare ecosystems. With a strong foundation in machine learning and data-driven modeling, Dr. Sharma aims to bridge the gap between virtual and real-time healthcare systems through simulation, predictive analytics, and digital transformation.

He has published and presented several research papers in reputed international journals and conferences, emphasizing emerging domains such as Metaverse-driven healthcare systems, federated learning, and cybersecurity challenges in medical applications. His academic and research pursuits reflect a commitment to innovation and the advancement of intelligent, patient-centric healthcare solutions.

Research Highlights

Vikas Sharma’s research focuses on developing an intelligent and secure Digital Twin-based healthcare framework that leverages Artificial Intelligence (AI), Internet of Things (IoT), and data analytics to enhance disease prediction, diagnosis, and personalized treatment. His work emphasizes creating real-time, patient-specific virtual models that enable continuous health monitoring and proactive medical decision-making. Additionally, his research addresses key challenges in data security, interoperability, and system scalability, proposing novel approaches that integrate federated learning, blockchain, and privacy-preserving mechanisms. Through his innovative contributions, Vikas aims to bridge the gap between physical and virtual healthcare environments, paving the way for next-generation smart and resilient healthcare systems.

Areas of Interest
  • Digital Twin and Metaverse in Healthcare
  • Artificial Intelligence and Machine Learning
  • Internet of Things (IoT) and Smart Systems
  • Healthcare Data Security and Privacy
  • Federated and Deep Learning Models
  • Cybersecurity in Intelligent Systems
Publications

1. Sharma, Vikas, Akshi Kumar, and Kapil Sharma. "Digital twin: securing IoT networks using integrated ECC with blockchain for healthcare ecosystem." Knowledge and Information Systems 67.3 (2025): 2395-2426.

2. Sharma, Vikas, Akshi Kumar, and Kapil Sharma. "Digital twin application in women’s health: Cervical cancer diagnosis with CervixNet." Cognitive Systems Research 87 (2024): 101264.

3. Sharma, Vikas, Kapil Sharma, and Akshi Kumar. "Multi-Keyword Ranked Search in Cloud Environment." Journal of Engineering Science & Technology Review 17.4 (2024).

4. Sharma, Vikas, et al. "Motor imagery feature selection using modified whale optimization algorithm for brain–computer interface." Iran Journal of Computer Science (2025): 1-20.

5. Sharma, Vikas, Akshi Kumar, and Kapil Sharma. "Next-generation healthcare: Digital twin technology and Monkeypox Skin Lesion Detector network enhancing monkeypox detection-Comparison with pre-trained models." Engineering Applications of Artificial Intelligence 145 (2025): 110257.