Dr. Sameer Sayyad is an Assistant Professor in the Department of Robotics and Automation at Symbiosis Institute of Technology (SIT), Pune. He holds a Ph.D. in Engineering, with research focused on AI-based predictive maintenance and intelligent manufacturing systems. His teaching and research interests include Industry 4.0, Computer Vision, machine learning, condition monitoring, and smart manufacturing. He has published in reputed journals and conferences, with work on RUL estimation, deep learning for machining fault classification, and machine vision applications. His research integrates artificial intelligence and sensor-based diagnostics to address real-world industrial challenges.