NAFIPS

Piero Bonissone

Dr. Bonissone is an independent consultant specialized in the use of analytics for Industrial AI applications. He provides consulting services in machine learning (ML) analytic applications, covering project definition and risk abatement, project evaluation, transition from development to deployment, and model maintenance. He has been an Advanced Analytics Advisor for Parkland. Stanley Black Decker, GE Oil & Gas (prior to their integration with Baker Hughes), and Schlumberger, where he played a key role in Digital Transformation initiatives, such as part forecasting, market intelligence, PHM projects related to equipment reliability, etc.

A former Chief Scientist at GE Global Research (GE GR), where he retired in 2014 after 34 years of service, Dr. Bonissone has been a pioneer in the field of analytics, machine learning, fuzzy logic, AI, and soft computing applications. Over the last decade of his tenure at GE GR, he developed multi-criteria decision making systems to support PHM applications (prescriptive models), ensemble learning to reduce the variance of predictive models, and model lifecycle automation to create, deploy, and maintain analytic models, providing customized performance while adapting to avoid obsolescence.

He is a Life Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a Fellow in the Association for the Advancement of Artificial Intelligence (AAAI), the International Fuzzy Systems Association (IFSA), and a Coolidge Fellow at GE Global Research. He received the 2012 Fuzzy Systems Pioneer Award from the IEEE CIS. During 2010-15, he chaired the Scientific Committee of the European Centre for Soft Computing. In 2008 he received the II Cajastur International Prize for Soft Computing from the European Centre of Soft Computing. In 2005 he received the Meritorious Service Award from the IEEE CIS. He received two Dushman Awards from GE GR. He served as Editor-in-Chief of the International Journal of Approximate Reasoning for 13 years.