The Power to Make Anything Anywhere Quickly
Soundar Kumara
Allen, E., and Allen, M., Pearce Professor of Industrial Engineering
Professor of IST (Affiliate)
Institute for Computational and Data Sciences (Associate)
The Pennsylvania State University
University Park, PA 16802, USA
Email: skumara@psu.edu
AI in Manufacturing is not a new phenomenon. Starting from IMS initiative from Japan by Professor Yoshikawa in the early eighties to the current Industry 4.0 and US Department of Energy’s Clean Energy Smart Manufacturing Innovation Institute (CESMII) several versions of the use of AI and ML in manufacturing have been proposed and implemented. In this talk we will start with a broader view of AI and ML in manufacturing and focus on real-time process monitoring and diagnosis. In specific we will discuss graph analytics and graph learning in detail with applications to manufacturing.
BIO
Soundar Kumara is the Allen, E., and Allen, M., Pearce Professor of Industrial Engineering at Penn State. Has an affiliate appointment with the school of Information Sciences and Technology. He is a faculty associate with the Institute of Cyber & Data Science Institute at Penn State. His research interests are in Sensor based Manufacturing Process Monitoring, Data Science and AI in Manufacturing and Healthcare, Graph Analytics and Large-Scale Complex Networks.
He obtained his Bachelor of Mechanical Engineering Degree from SVUCE Tirupati, M.Tech from IIT Madras and Ph.D., in Industrial Engineering from Purdue University, USA. He held visiting appointments with University of Tokyo, Korea Institute of Science and Technology, City University of Hong Kong, Tsinghua University, China and MIT, USA.
He is a Fellow of Institute of Industrial Engineers (IIE), International Academy of Production Engineering (CIRP), American Association for Advancement of Science (AAAS), and American Association of Mechanical Engineers (ASME).
Kumara has worked on projects funded by NSF, DARPA, Several Industries totaling about $ 45 Million over his career as a PI or Co-PI.
59 Ph.D., and 70 MS students graduated under his guidance. He has pioneered nonlinear real-time sensor data analysis techniques for manufacturing process monitoring and diagnosis and large-scale sensor networks. In recent years he has been working with healthcare data analytics. He is among the first people to work in AI in manufacturing from the IE discipline. He teaches courses in AI and Data Analytics in Manufacturing.
Several of his papers have won best paper awards; many of his students have won best thesis awards from the Institute of Industrial Engineers; Dr. Kumara has won several awards including the Faculty Scholar medal, the highest research honor from Penn State. He has advised many students who work with industries such as IBM, GM, Google, Yahoo, CISCO and Amazon.
He has about 11000 google citations (h-index: 43) and his Erdos number is 3. One of his papers in Physical Reviews-E is designated as a milestone paper for 2007 (25 papers were selected, one for each year published in PRE from 1993 till 2018 from among 50,000 publications).