MODELS 2022
Sun 23 - Fri 28 October 2022 Montréal, Canada

Pieter Mosterman, MathWorks

A study of cyber-physical system design activity to consider opportunity for AI assistance

Design as a process in the large combines activities ranging from those that build on intuition to those that are highly mechanical. Automation has traditionally taken an important role in alleviation some of the more menial operations. Artificial Intelligence holds great promise in also assisting the user with their more creative operations or even taking over some of those entirely. Instead of focusing on an exclusively computational design process, this presentation takes the perspective of human activities in design in an attempt to highlight symbiotic opportunity for combined human/artificial intelligence. A Create, Organize, Refine, Evaluate (CORE) framework is utilized to identify a range of design activities and to provide inspiration for symbiotic support by presenting concrete illustrations of the various activities.

Biography

Pieter J. Mosterman is Chief Research Scientist and Director of the MathWorks Advanced Research & Technology Office in Natick, Massachusetts, where he works on computational methodologies and technologies. Between 2009 and 2017, he held an Adjunct Professor position at the School of Computer Science of McGill University. Prior to joining MathWorks, he was a research associate at the German Aerospace Center (DLR) in Oberpfaffenhofen. He earned his PhD in Electrical and Computer Engineering from Vanderbilt University in Nashville, Tennessee, and his M.Sc. in Electrical Engineering from the University of Twente, the Netherlands. His primary research interests are in Computer Automated Multiparadigm Modeling (CAMPaM) with principal applications in design automation, training systems, and fault detection, isolation, and reconfiguration. Dr. Mosterman designed the Electronics Laboratory Simulator that was nominated for The Computerworld Smithsonian Award by Microsoft Corporation in 1994. In 2003, he was awarded the IMechE Donald Julius Groen Prize for his paper on the hybrid bond graph modeling and simulation environment HYBRSIM. In 2009, he received the Distinguished Service Award of The Society for Modeling and Simulation International (SCS) for his services as editor in chief of SIMULATION: Transactions of SCS. Dr. Mosterman was guest editor for special issues on CAMPaM of SIMULATION, IEEE Transactions on Control Systems Technology, and ACM Transactions on Modeling and Computer Simulation. He has chaired over 30 scientific events, served on more than 100 international program committees, published over 100 peer reviewed papers, and is the inventor on over 100 awarded patents.


Danny Tarlow, Google Brain

Assisting Software Engineers with Deep Learning

Biography

Danny is a Staff Research Scientist at Google Brain, Adjunct Professor in Computer Science at McGill University, and a Core Industrial Member of the Mila Quebec AI Institute. His research interests are in the application of machine learning to problems involving structured data, with a specific interest in the intersection of machine learning, programming languages, and software engineering. His work has won paper awards at NeurIPS, UAI, and ICML & NeurIPS Workshops. He holds a Ph.D. from the Machine Learning group at the University of Toronto and was previously a Research Fellow at Darwin College, University of Cambridge and a Researcher at Microsoft Research Cambridge (UK).