S. Prabu

Prabu Sevugan is a Certified Blockchain Associate, completed B.Engg., in CSE and Did double M.Tech’s and double Ph.D.’s in Remote Sensing and CSE respectively. He was a Post-Doctoral Fellow at the Department of Computer Science and Engineering, Indian Institute of Technology Bombay. He has more than 120 publications in peer-reviewed journals and conferences, Edited 3 Books, and published 12 book chapters, and 1 patent. He has organized 3 International Conferences, which include one IEEE Conference as chair and also participated in many workshops and seminars. He is a member of many professional bodies and a senior member of IEEE. He has 19+ years of experience in teaching and research. He worked as a Professor and Head Department of Information Security, the School of Computer Science and Engineering, Vellore Institute of Technology Vellore. Currently, serving as an Associate Professor in the Department of Banking Technology, Pondicherry University, Puducherry, India.

Publications

Confluence of Deep Learning Using Watershed Segmentation GAN for Advancing Endoscopy Surgery Imaging
G. Megala, P. Swarnalatha, S. Prabu, R. Venkatesan, Anantharajah Kaneswaran. © 2024. 24 pages.
Accurate segmentation in medical images is critical for effective diagnosis and treatment. This study presents a novel approach using a watershed-segmented Generative Adversarial...
Review on Facial Emotion Recognition Using Deep Learning With Multiple Databases
Hari Prasad Mal, P. Swarnalatha, Anantharajah Kaneswaran, S. Prabu. © 2024. 14 pages.
Facial expression-based automatic emotion recognition is an intriguing field of study that has been presented and used in a variety of contexts, including human-machine...
Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT
P. Swarnalatha, S. Prabu. © 2023. 432 pages.
Today’s business world is changing with the adoption of the internet of things (IoT). IoT is helping in prominently capturing a tremendous amount of data from multiple sources....
Content-Based Video Retrieval With Temporal Localization Using a Deep Bimodal Fusion Approach
G. Megala, P. Swarnalatha, S. Prabu, R. Venkatesan, Anantharajah Kaneswaran. © 2023. 11 pages.
Content-based video retrieval is a research field that aims to develop advanced techniques for automatically analyzing and retrieving video content. This process involves...
Insulator Fault Detection From UAV Images Using YOLOv5
S. Venkata Suryanarayana, Katakam Koushik, Prabu Sevugan. © 2023. 13 pages.
Identification of insulator defects is one of the most important goals of an intelligent examination of high-voltage transmission lines. Because they provide mechanical support...
Automated MP3 Tag Editor via Data Mining: A Classification Software for Predicting MP3 Metadata
Jonathan Rufus Samuel, Shivansh Sahai, P. Swarnalatha, Prabu Sevugan, V. Balaji. © 2023. 18 pages.
The music space in today's world is ever evolving and expanding. With great improvements to today's technology, we have been able to bring out music to the vast majority...
Blockchain-Based Messaging System for Secure and Private Communication: Using Blockchain and Double AES Encryption
Shiva Chaithanya Goud Bollipelly, Prabu Sevugan, R. Venkatesan, L. Sharmila. © 2023. 12 pages.
In recent years, concerns about privacy and security in online communication have become increasingly prominent. To address these concerns, the authors propose a blockchain-based...