Mr. F. Allwin Edilbert

Mr. F. Allwin Edilbert is an Assistant Professor at Karunya Institute of Technology and Sciences. His academic interests lie in Data Science, Artificial Intelligence, Machine Learning, and Big Data Analytics, with a focus on applying intelligent technologies to solve real-world challenges. His teaching responsibilities span subjects including Data Science and Machine Learning, Python Programming and Problem Solving, Big Data Analytics, Soft Computing and Fuzzy Systems, Compiler Design, Theory of Computation, and Artificial Intelligence.

His research focuses on Data Science for Healthcare and Social Good, Deep Learning for Image and Content Analysis, and Sports Analytics and Performance Prediction. He actively contributes to these domains through interdisciplinary research and has established research profiles on Google Scholar, Scopus, and ORCID to disseminate his scholarly work. His work reflects an interest in leveraging advanced data-driven approaches to address challenges in healthcare, social impact, computer vision, and predictive analytics.

Mr. Allwin Edilbert has contributed to academic literature through a book chapter titled Design and Implementation of License Controlled Vehicle Emission Monitoring System Using PIC Microcontroller , published by Taylor & Francis (CRC Press). He has further strengthened his technical expertise by completing professional certification courses in Data Science, Cybersecurity, AWS Machine Learning, Google Cloud Fundamentals, and Salesforce Development, demonstrating his commitment to continuous learning and emerging technologies.

He possesses strong expertise in Artificial Intelligence, Machine Learning, Data Science, Cloud Computing, Python Programming, Big Data Analytics, and Cybersecurity. His academic and professional interests are complemented by a dedication to research, teaching, and the practical application of intelligent computing technologies across diverse domains, particularly healthcare, social good, and predictive analytics.