Tanmay Bhowmik

Mississippi State University

Tanmay Bhowmik's research contributions span multiple fields, including deep learning, online teaching-learning processes, digital learning, and software development. They have explored the efficacy of interactive tools in education, investigated the impact of internal and external psychological factors on digital learning, and developed resource-centric goal model slicing for detecting feature interactions. Additionally, Bhowmik's work has focused on requirements engineering, including creativity evaluation frameworks, source code maintainability analysis, and environment-driven abstraction identification. Their research also extends to artificial intelligence applications, such as stress detection using EEG signals, chatbot question answering, and facial recognition-based attendance monitoring systems.