Vinika Malik
Her research focuses on the integration of Digital Twin technology with advanced wireless communication networks to develop intelligent, adaptive, and resilient cyber-physical systems for the oil and gas industry. The work emphasizes real-time data acquisition, AI-driven predictive analytics, and Explainable Artificial Intelligence (XAI) to ensure transparency, reliability, and informed decision-making. Contributions include both applied modeling frameworks and analytical studies, with applications in industrial monitoring, fault diagnosis, and operational optimization. The research aims to enhance efficient and trustworthy Digital Twin ecosystems through wireless connectivity, interpretable AI, and intelligent automation.
🎓 Academic Details
- Education: M.sc Computer Science (2020-2022)
- Qualification: UGC NET-LS (Dec 2023)
- Ph.D Joined: December 2024
- Research Area: Digital Twin, Wireless Communication Networks, Oil and Gas Industry, Explainable Artificial Intelligence (XAI), Industrial IoT
🔬 Research Publications
| S.No. | Author(s) | Title | Journal | IF | Vol. | Page | Year |
|---|---|---|---|---|---|---|---|
| 1 | Munish Bhatia, Vinika Malik | A scientometric review of digital twin in 3G to 6G networks: industry applications and trends | Journal of Intelligent Manufacturing (Springer) | 7.4 | Sep | 1--45 | 2025 |
| 2 | Munish Bhatia, Vinika Malik | Trends and Frontiers of Emerging Technologies in Oil and Gas: A Scientometric Perspective | IEEE Internet of Things Journal | 8.9 | 13 | 3782--3807 | 2025 |
📧 Contact
Email: vinikamalik02@gmail.com