Dr. Princy Diwan is an Assistant Professor in the Department of Computer Science and Engineering at SIT Nagpur. With a deep commitment to advancing both theoretical knowledge and practical applications in the field of computer science, she combines expertise in Blockchain Technology, Machine learning, Digital image processing with a passion for teaching and research
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)
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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 |
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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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