Ph.D. Scholar
Rohit Kumar
His research focuses on Digital Twin technology for sustainable systems, particularly in smart agriculture and precision irrigation. His work integrates machine learning, deep learning, and reinforcement learning to enable intelligent, data-driven decision-making. He also explores scientometric analysis and interdisciplinary applications of Digital Twin across domains such as energy, healthcare, and transportation, emphasizing sustainability and real-world impact.
🎓 Academic Details
- Education: M.sc Computer Science (2020-2022)
- Qualification: UGC NET-LS (December 2023)
- Ph.D Joined: July 2024
- Research Area: Internet of Things, Digital Twin, Machine Learning, Artificial Intelligence
🔬 Research Publications
| S.No. | Author(s) | Title | Journal | IF | Vol. | Page | Year |
|---|---|---|---|---|---|---|---|
| 1 | Munish Bhatia, Rohit Kumar | Digital Twin and sustainability: A data-driven scientometric exploration | Internet of Things (Elsevier) | 7.6 | 32 | 101652 | 2025 |
| 2 | Munish Bhatia, Rohit Kumar | Digital twin technology in wireless communication: A comprehensive engineering survey | IEEE Internet of Things Journal | 8.9 | 12 | 19144-19166 | 2025 |
| 2 | Munish Bhatia, Rohit Kumar | Exploring digital twin in sustainable development: a scientometric analysis | International Journal of Data Science and Analytics (Springer) | 2.8 | 20 | 6905–6931 | 2025 |
📧 Contact
Email: rohithudda12345@gmail.com