Edwin Shalom Soji

Edwin Shalom Soji is an Assistant Professor in the Department of Computer Science at Bharath Institute of Higher Education and Research, India, where he specializes in AI-based image processing and human-computer interaction. He earned his Ph.D. in Computer Science from VISTAS, India. In his leisure time, he contributes to the development of user-centric software solutions for various clients. His transition to academia was driven by his passion for research and education in the field of computer science. Dr. Edwin's current research interests lie at the intersection of advanced neural artificial intelligence and user interface design, focusing on creating more intuitive and accessible computing experiences. He has published his work in various high-impact indexed journals. Apart from his academic and research activities, Dr. Edwin is dedicated to mentoring students and young professionals. He actively organizes emerging technical workshops and tech talks to inspire and engage the next generation of computer scientists. Dr. Edwin's ideology centers on contributing to various initiatives aimed at promoting diversity and inclusion in technology fields.

Publications

Utilization of Artificial Intelligence Algorithms for Advanced Cancer Detection in the Healthcare Domain
Utilization of Artificial Intelligence Algorithms for Advanced Cancer Detection in the Healthcare Domain
M. G. Hariharan, S. Saranya, P. Velavan, Edwin Shalom Soji, S. Suman Rajest, Latha Thammareddi. © 2024. 16 pages.
AI has become a valuable tool for early disease identification and diagnosis, especially during pandemics. Artificial intelligence is used to construct advanced healthcare...
Image Recognition and Extraction on Computerized Vision for Sign Language Decoding
Image Recognition and Extraction on Computerized Vision for Sign Language Decoding
M. Gandhi, C. Satheesh, Edwin Shalom Soji, M. Saranya, S. Suman Rajest, Sudheer Kumar Kothuru. © 2024. 17 pages.
The image recognition method is a significant process in addressing contemporary global issues. Numerous image detection, analysis, and classification strategies are readily...
AI-Driven Computer Vision for Intelligent Home Automation and Surveillance Systems
AI-Driven Computer Vision for Intelligent Home Automation and Surveillance Systems
Edwin Shalom Soji, Sonia Gnanamalar, Nagarajan Arumugam, S.Silvia Priscila, N. Selvam, S. Suman Rajest. © 2024. 16 pages.
Home automation is a rapidly advancing field, driven by its increasing affordability and convenience. The ability to control various aspects of our homes and have them respond to...
Technological Frontier on Hybrid Deep Learning Paradigm for Global Air Quality Intelligence
Technological Frontier on Hybrid Deep Learning Paradigm for Global Air Quality Intelligence
S. Silvia Priscila, D. Celin Pappa, M. Shagar Banu, Edwin Shalom Soji, A. T. Ashmi Christus, Venkata Surendra Kumar. © 2024. 19 pages.
This hybrid deep-learning study focuses on pollutant concentration. It illuminates convolutional neural networks (CNN) and long short-term memory in hybrid deep learning methods...