Dr. Princy Diwan
Assistant Professor
Ph.D. Computer Science (Blockchain Technology) M. Tech Computer Science & Engineering
princy.diwan@sitnagpur.siu.edu.in
Ph.D. Computer Science (Blockchain Technology) M. Tech Computer Science & Engineering
Dr. Princy Diwan (Shukla) is an Assistant Professor in the Department of Computer Science and Engineering at Symbiosis Institute of Technology, Nagpur. She has over 7.5 years of academic experience. Her professional journey reflects a strong commitment to academic excellence, with a focus on both teaching and research. Dr. Diwan’s core areas of expertise include Blockchain Technology, Machine Learning, and Digital Image Processing. She is particularly interested in exploring innovative applications of these technologies to solve real-world problems, and regularly engages in interdisciplinary research.
Known for her student-centric approach, Dr. Diwan strives to cultivate an interactive and inclusive learning environment. She actively participates in curriculum development, research initiatives, and academic mentorship. Her dedication to staying abreast of emerging technologies ensures that her teaching remains current and industry-relevant.
Dr. Diwan continues to contribute meaningfully to the field of computer science, combining scholarly rigor with a passion for continuous learning and knowledge sharing.
Current Semester:
Operating system (B. Tech CSE IV)
PBL (B. Tech CSE VI & II)
Operating system Lab (B. Tech CSE IV)
Programming & Problem Solving (B. Tech CSE II)
| No. | Information |
|---|---|
| 1 | Diwan, P., Khandelwal, B., & Dewangan, B. K. (2023). Analysis of Blockchain Security Applications in Electronic Health Records Standardization. Recent Advances in Computer Science and Communications (Formerly: Recent Patents on Computer Science), 16(5), 19-30 |
| 2 | Diwan, P., Kashyap, R., & Khandelwal, B. (2024). Blockchain assisted encryption scheme for intellectual share estimation using medical research data. Concurrency and Computation: Practice and Experience, 36(2), e7896. |
| 3 | Wankhade, K.K., Dongre, S., Chandra, R., Krishnan, K.V., Arasavilli, S., “Machine Learning-Based Detection of Attacks and Anomalies in Industrial Internet of Things (IIoT) Networks”, Lecture Notes in Networks and Systems, 2024, 966 LNNS, pp. 91–109 |
| No. | Information |
|---|---|
| 1 | Diwan, P., Khandelwal, B., & Dewangan, B. K. (2022, September). Ensuring Data Protection Using Machine Learning Integrating with Blockchain Technology. In International Conference on Innovations in Computer Science and Engineering (pp. 359-368). Singapore: Springer Nature Singapore. |
| 2 | Diwan, P., Khandelwal, B., Dewangan, B. K., & Shriwas, P. (2023, February). A Bibliometric Analysis of Network Security on Blockchain. In 2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) (pp. 1-6). IEEE |
| 3 | Shriwas, P. K., Kuraiya, S., Diwan, P., Kumar, V., & Dewangan, B. (2023, February). An Approach to Evaluate Load Balancing and Crucial Data Analysis Through Hadoop Framework. In 2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) (pp. 1-6). IEEE. |
| 4 | Wankhade, K.K., Dongre, S., Chandra, R., Krishnan, K.V., Arasavilli, S., “Machine Learning-Based Detection of Attacks and Anomalies in Industrial Internet of Things (IIoT) Networks”, Lecture Notes in Networks and Systems, 2024, 966 LNNS, pp. 91–109 |
Diwan, P., & Dewangan, B. K. (2023). Application of Brain-Inspired Computing for Daily Assistance. In Exploring Future Opportunities of Brain-Inspired Artificial Intelligence (pp. 1-14). IGI Global.
Dewangan, B. K., & Diwan, P. (2022). Hand Gesture Recognition Through Depth Sensors. In Challenges and Applications for Hand Gesture Recognition (pp. 27-46). IGI Global.
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