For more than 25 years Noel Greis has helped global companies balance the benefits and risks of new digital technologies and artificial intelligence as they rethink product design, engineering and manufacturing for their customers. While artificial intelligence brings productivity, responsiveness and autonomy to manufacturing, it also introduces significant risks related to cybersecurity, data privacy and operational reliability. Noel’s recent work addresses the unique security challenges posed by artificial intelligence for emerging cyberphysical manufacturing systems that integrate physical processes with networking and computational power.

At the University of North Carolina at Charlotte, Dr. Greis is a member of the Digital Engineering and Advanced Manufacturing (DEAM) Lab and serves of the Technology Committee of the Association for Manufacturing Technology, the US trade organization that represents and promotes US-based manufacturing technology. Dr. Greis received Ph.D., M.S.E. and M.A. degrees in engineering from Princeton University and a B.A. in mathematics from Brown University. Prior to her academic career, Noel was a member of the technical staff at Bell Laboratories and Bell Communications Research. She has won numerous awards for her work and holds a U.S. patent for AI-enabled real-time prognostics and diagnostics for complex physical systems.