Academics

Bio

Dr. Prasad is a highly motivated individual with a deep passion for cloud technology and a track record of exceptional research. He has spent years delving into the intricacies of cloud forensics, and his insights into this rapidly evolving field are highly sought after.

Beyond his expertise in cloud forensics, Dr. Prasad has also made significant contributions to a range of other fields, including High-Performance Computing, Quadraped Robotics, Blockchain, and Gamification. He has a natural curiosity and drive to explore new areas and solve complex problems, which has led him to explore and excel in multiple domains.

If you're looking to collaborate with a talented and experienced researcher, Dr. Prasad is an excellent choice. His willingness to work with others and his collaborative approach make him an ideal partner for any project.

Be it making advancements the field of cloud forensics or exploring new areas of research in High-Performance Computing, Quadraped Robotics, Blockchain, or Gamification, Dr. Prasad is the perfect collaborator in these areas.

Research Areas

Cloud Forensics, Cloud Security, Artificial Intelligence

Publications

1. Purnaye, P. and Kulkarni, V., 2022. A comprehensive study of cloud forensics. Archives of Computational Methods in Engineering, 29(1), pp.33-46.

2. Purnaye, P. and Kulkarni, V., 2022. BiSHM: Evidence detection and preservation model for cloud forensics. Open Computer Science, 12(1), pp.154-170.

3. Purnaye, P. and Kulkarni, V., 2022, February. Information Retrieval for Cloud Forensics. In Intelligent Data Engineering and Analytics: Proceedings of the 9th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2021) (pp. 11-18). Singapore: Springer Nature Singapore.

4. Bhat, P., Anuse, A., Kute, R., Bhadade, R.S. and Purnaye, P., 2022. Mental health analyzer for depression detection based on textual analysis. Journal of Advances in Information Technology Vol, 13(1).

5. Purnaye, P. and Kulkarni, V., 2020. Memory dumps of virtual machines for cloud forensics. IEEE Dataport, 10.

Google Scholar link ://scholar.google.com/citations?user=N666wcQAAAAJ&hl=en

Scopus link :https://www.scopus.com/authid/detail.uri?authorId=57222605824

ORCID link:https://orcid.org/0000-0002-0224-2762