Dr. Siddhartha Roy

Siddhartha Roy’s research interests lie at the intersection of artificial intelligence, computational intelligence, and applied machine learning. His work focuses on neural networks, deep learning, evolutionary algorithms, and hybrid AI models, including the integration of differential equation–based models with neural networks for interpretable and robust learning. He is particularly interested in time-series modeling, healthcare analytics, disease progression forecasting, and real-world data challenges such as noise, missingness, and uncertainty. Additional interests include quantum computing fundamentals, intelligent optimization, and AI-driven decision support systems for scientific and industrial applications.