Artificial Intelligence in Manufacturing

Masoud Soroush is the George B. Francis Chair Professor of Engineering at Drexel University and directs the Future Layered nAnomaterials Knowledge and Engineering (FLAKE) Consortium, collaborating with over 30 researchers from Drexel, the University of Pennsylvania, and Purdue. He has held positions as a Visiting Scientist at DuPont and a Visiting Professor at Princeton. An Elected Fellow of AIChE and Senior Member of IEEE, Soroush has received numerous awards, including the AIChE 2023 Excellence in Process Development Research Award. He holds a BS from Abadan Institute of Technology and MS/PhD degrees from the University of Michigan, with research focusing on advanced manufacturing and nanomaterials. Dr. Richard D. Braatz is the Edwin R. Gilliland Professor of Chemical Engineering at MIT, specializing in advanced manufacturing systems. His research focuses on process data analytics, mechanistic modeling, and robust control systems, particularly in monoclonal antibody, vaccine, and gene therapy production. He holds an M.S. and Ph.D. from Caltech and previously served as a professor at the University of Illinois and a visiting scholar at Harvard. Dr. Braatz has received several prestigious awards, including the Donald P. Eckman Award and the Curtis W. McGraw Research Award, and is a Fellow of multiple professional organizations and a member of the U.S. National Academy of Engineering.

• 1. Data‐driven Physics‐based Digital Twins2. Hybrid Modeling Approach Integrating PLS Models with First-principles Knowledge3. Dynamical Systems-Guided Learning of PDEs from Data4. Learning First-principles Knowledge from Data5. Actual Learning through Machine Learning6. Iterative Cross Learning7. Learning an Algebraic Model from Data8. Data‐driven Optimization Algorithms9. Interpretable Machine Learning10. Learning Science and Algorithms11. Reinforcement Learning12. Machine Learning: Trends, Perspectives, and Prospects13. Artificial Intelligence: Trends, Perspectives, and Prospects14. Artificial Intelligence Education for Chemical Engineers