Akash Jag Prasad

Dr. Akash Tiwari is an Associate R&D Staff member in the Advanced Machining and Machine Tools Research Group within the Manufacturing Science Division. His research focuses on physical AI, digital manufacturing, intelligent machine tools, and machine learning for manufacturing process monitoring and control. His work integrates CNC controller data, G-code, multisensor measurements, edge computing, and data-driven modeling to enable high-resolution process reconstruction, anomaly and defect detection, adaptive machining, and trustworthy decision-making in cyber-physical manufacturing systems. His broader application areas include machining and hybrid manufacturing, smart manufacturing industrial data integration, and autonomous manufacturing systems. He has also led and contributed to technical collaborations with industrial partners involving manufacturing monitoring platforms, adaptive control, and deployment of research software in production-relevant environments.

Dr. Tiwari received his Ph.D. in Industrial Engineering from Texas A&M University in 2023 and his B.Tech. in Industrial and Systems Engineering from the Indian Institute of Technology Kharagpur in 2019. In 2023, he was a graduate intern in the Materials Science Division at Lawrence Livermore National Laboratory, where he worked on in-situ monitoring for precision manufacturing applications. He is active in the manufacturing research community through presentations and symposium organization at the ASME Manufacturing Science and Engineering Conference and North American Manufacturing Research Conference (MSEC/NAMRC), as well as the INFORMS Annual Meeting.