Subrata Chowdhury

Dr. Subrata Chowdhury (Associate Professor, Department Dr. Subrata Chowdhury (Associate Professor) is working in the Department of the Computer Science of Engineering of Sreenivasa Institute of Technology And Management as a Associate Professor. He is been working in the IT Industry for more than 5 years in the R&D developments, he has handled many projects in the industry with much dedications and perfect time limits. He has been handling projects related to AI, Blockchains and the Cloud Computing for the companies from various National and Internationals Clients. He had published (4) books from 2014 - 2019 at the domestic market and Internationally Publishers CRC, River . And he been the editor for the 2 books for the CRC& River publisher. He has participated in the Organizing committee, Technical Programmed Committee and Guest Speaker for more than 10 conference and the webinars. He also Reviewed and evaluated more than 50 papers from the conferences and

Publications

Modeling, Simulation, and Control of AI Robotics and Autonomous Systems
Tanupriya Choudhury, Anitha Mary X, Subrata Chowdhury, C. Karthik, C. Suganthi Evangeline. © 2024. 340 pages.
The chasm between the physical capabilities of Intelligent Robotics and Autonomous Systems (IRAS) and their cognitive potential presents a formidable challenge. While these...
Multidisciplinary Applications of AI Robotics and Autonomous Systems
Tanupriya Choudhury, Anitha Mary X, Subrata Chowdhury, C. Karthik, C. Suganthi Evangeline. © 2024. 380 pages.
As society transitions into the digital age, the demand for advanced robotics and autonomous systems has remained unchanged. However, the field faces significant challenges...
Comparative Analysis of Machine Learning Approaches for Antimicrobial Peptide Prediction: A Comprehensive Review
Thirumurthy Madhavan, Anchita Das Sharma, Subrata Chowdhury, Ben Othman Soufiene. © 2024. 27 pages.
Antimicrobial resistance (AMR) is a global issue due to improper drug use in humans and animals. Antimicrobial peptides (AMPs) show promise in targeting bacteria with minimal...