Nitin Roy

Nitkin Roy is a researcher affiliated with California State University, Sacramento, specializing in process safety, loss prevention, and chemical safety. His work integrates advanced machine learning with industrial risk management, including deep learning frameworks for fault diagnosis in chemical processes and adaptive transformer–LSTM models for lithium-ion battery state-of-health prediction. He has also developed multi-objective route optimization models for hazardous material transportation using Conditional Value at Risk and GIS-based approaches, alongside studies on safety climate in China’s chemical industry. His recent publications appear in venues such as *Reliability Engineering & System Safety*, *Process Safety and Environmental Protection*, and the *Journal of Loss Prevention in the Process Industries*.