Bart Gajderowicz

Industrial Engineering

University of Toronto

Toronto, Ontario, Canada

www: bartg.org

email: bartg-at-mie.utoronto.ca

Background:

Bart recieved his PhD in 2019 from the Industrial Engineering Department at the University of Toronto, under the supervision of Dr. Mark Fox and Dr. MichaelGruninger.

Dr. Bart Gajderowicz is a computer scientist at the University of Toronto, with applications in computational social sciences and knowledge representation. His research interests focus on artificial intelligence (AI) methods for modelling, simulating, and evaluating complex social systems as well as the computer systems that support them. His work in these areas combines his passion for technology, healthy communities, and collaboration across sectors. He is an expert in AI systems for smart cities and impact measurements for sustainable communities. The long-term goal of his research is the application of AI techniques towards understanding community behaviour in a smart city context through data-driven decision making.

Dr. Gajderowicz is a Senior Research Associate at Industrial Engineering at the University of Toronto and serves as the Executive Director at the Urban Data Research Centre(UDRC), School of Cities, University of Toronto. His extensive research contributions and affiliations demonstrate his dedication to advancing the field of artificial intelligence (AI) and its application in social services and improving societal well-being through innovative AI applications. His expertise in emulating agent behaviour, ontology matching, and AI-driven planning algorithms has led to significant advancements in evaluating social services and their impact on service clients. Dr. Gajderowicz’s current research focuses on automating impact model extraction from text, service plan generation, and plan evaluation based on the theory of needs/satisfiers, decision-making models, and developing service-related ontologies. His expertise extends to ontology matching, data modelling, and natural language understanding algorithms. He has received multiple fellowships, awards, and funding for his research, demonstrating his contributions to the field. He has applied for and received (as the sole applicant or co-applicant) $295,000 in direct research funding, with an additional $138,000 in grants throughout graduate school.

He received his MSc in Computer Science from Toronto Metropolitan University, under the supervision of Dr. Alireza Sadeghian and Dr. Mikhail Soutchanski. Thesis topic focused on semi-automated ontology matching through machine learning. As the Senior Research Assistant, he collaborated on research projects with Dr. Hossein Rahnama at the Ubiquitous and Pervasive Computing Lab. Bart has also worked professionally as a developer for Toronto Dominion Bank's Merchant Services and Dispute Resolution groups, and designed and developed various internet based applications, focusing on Semantic Technologies, Natural Language Processing, Social Networks and Content Management Systems.