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Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

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Amirali Abari
PhD

Assistant Professor

Information Technology

Faculty of Business and Information Technology

Contact information

Business and Information Technology Building - Room 2086
North Oshawa
2000 Simcoe Street North
Oshawa, ON L1G 0C5

905.721.8668 ext. 5544

abari@ontariotechu.ca
abari.ca


Research topics

  • artificial intelligence
  • machine learning
  • computational decision making
  • recommender systems
  • network science
  • computer security

Background

Dr. Amirali Abari is an Assistant Professor in the Faculty of Business and Information Technology at Ontario Tech University. Prior to that, he was an Natural Sciences and Engineering Research Council (NSERC) Postdoctoral Fellow, with a joint appointment at the University of Toronto and University of Waterloo. He received his PhD in Computer Science from the University of Toronto in 2016. His research interests have spanned a wide range of topics including computational decision making, machine learning, multi-agent systems, network science, and computer security. His current research efforts focus on various aspects of decision-making under uncertainty: preference learning, group recommendation and decision-making, computational advertising, and probabilistic inference. His research was awarded an NSERC Postdoctoral Fellowship, NSERC Alexander Graham Bell Graduate Canada Graduate Scholarship, Ontario Graduate Scholarship, Queen Elizabeth II Graduate Scholarship, and Bell Scholarship. His research has won a student best paper award and been granted a U.S. patent. He has served on the conference program committees of leading international conferences in artificial intelligence such as Association for the Advancement of Artificial Intelligence (AAAI) and International Joint Conference on Artificial Intelligence (IJCAI). He also frequently reviews for top journals in artificial intelligence, algorithms and computer security, including Institute of Electrical and Electronics Engineers (IEEE) Transactions on Knowledge and Data Engineering, Journal of Artificial Intelligence Research, Association for Computing Machinery (ACM) Transactions on Spatial Algorithms and Systems, Algorithmica, and IEEE Transactions on Information Forensics & Security.