The Toronto Intelligent Decision Engineering Laboratory

Toronto Intelligent Decision Engineering Laboratory (TIDEL)

TIDEL Research Group

News Feed

01/2023
As of Jan 1, 2023 Chris Beck starts a new role as Associate Editor-in-Chief of the "Journal of Artificial Intelligence Research".
12/2022
"The LM-Cut Heuristic Family for Optimal Numeric Planning with Simple Conditions" by Ryo Kuroiwa, Alexander Shleyfman, Chiara Piacentini, Margarita P. Castro, Christopher Beck published in "Journal of Artificial Intelligence Research" 2022.
06/2022
ICAPS 2012 paper Christian Muise, Sheila McIlraith, Christopher Beck, "Improved non-deterministic Planning by Exploiting State Relevance" wins ICAPS 2022 Influential Paper Award.

The TIDEL Research Group

TIDEL is concerned with the structure, organization and manipulation of information for automated and human decision making. Our primary research focus is the extension of AI and optimization techniques to this end. As a result, we are interested in methodologies such as constraint programming, local search, hybrid AI/OR techniques, stochastic optimization, machine learning, data mining, and representation and reasoning about preferences.

The applications we are currently studying include: scheduling, robotics, supply chain management, vehicle routing, decision-making in uncertain and dynamic environments, and development of intelligent restaurant and hotel reservation systems. Other broad areas of interest include security, planning and scheduling of web services, automated composition and software engineering.

TIDEL is composed of graduate students working toward master's and doctorate degrees in industrial engineering and computer science, interns and post-docs. Members of TIDEL have diverse educational backgrounds, with undergraduate and graduate degrees from computer science, engineering science, industrial engineering, mechatronics and operations research, obtained from Canadian as well as international universities. This diversity is perfect for TIDEL's interdisciplinary approach to research: the variety of perspectives allows the team to gain a deeper understanding of problems and promotes the development of hybrid methodologies for solving them.

Industrial Engineering(IE) Seminar

TIDEL Word Bubble

University of Toronto Mechanical and Information Engineering