Our Faculty
Todd Kelley
Todd Kelley is a Professor at Algonquin College and the coordinator of the Artificial Intelligence Software Development program. He holds a Master’s Degree in Computing and Information Science from Queen’s University and spent several years doing research in Knowledge Representation at the University of Toronto. Before joining Algonquin, Kelley acquired substantial industry experience, working in the Organizational Effectiveness group at Nortel, and later as an embedded devices developer. Since joining Algonquin, he teaches a range of courses in several programs, including Web Enterprise Applications, Knowledge Representation and Reasoning, and Applying AI Techniques. Kelley can often be seen in the halls of Algonquin carrying an iRobot Create 3 educational robot to class.
Anu Thomas
Dr. Anu Thomas is a Professor at Algonquin College in the ICT-Applications and Programming department since 2016. She obtained her Ph.D. from Carleton University, where she was the recipient of various scholarships including Indira Gandhi Memorial Fellowship for her outstanding performance during her doctoral studies. She has more than 20 years of teaching and industry experience in University and College settings and in various multinational companies. She was recognized by the Learning and Teaching Services at Algonquin College for her teaching excellence. Teaching is her passion, and her mission is to help her students achieve their career dreams and goals. Her research area is Machine Learning, and her specific areas of interest include Fraud Detection, Behavioural Analytics, Link/Network Analysis, and Sentiment Analysis.
Hala Own
Hala Own earned her Ph.D. in Computer Science from Mansoura University in Egypt after receiving her Master of Science in Computer Science and Bachelor of Science (Honors) in Pure Mathematics and Computer Science from Ain Shams University. She taught and assisted undergraduate students for over than 24 years. She supervised and mentored a Ph.D. student at Leicester, United Kingdom, 2011.
On an international level, Hala is a published author in many peer reviewed journals, with many as the first author. Her research papers (+39 papers) have appeared in high ranked journals including Information Sciences, Expert Systems with Applications, as well as a few others. Hala received a Vice President Research “Unfunded Research” Award, Kuwait University, Kuwait, 2012,2014,2016 & 2018.
Hala is an active member of the research community, not only as a member in several associations, but also as a committee member that organizes and chairs international conferences.
Surbhi Bahri
Professor Surbhi Bahri is a Professor of ICT-Applications and Programming since 2019. She received her B.Tech in Electronics and Communications Engineering in 2011, Masters in Applied Sciences from NIT and Master of Engineering from Carleton University. Her masters thesis was based on Image and Digital Signal processing. She is currently pursuing her PhD specializing in the area of Machine Learning based Autonomous Vehicles at uOttawa. She has spent 5 years in the Aerospace Domain as a Solutions Architect in the design of Aircraft sensors and 10 years in teaching undergrads and grads at different academic setups.
Surbhi’s researching on AI enabled autonomous systems and Deep Neural Networks. Her aim is to discover a learning paradigm that can be proved to be efficient at finding complex structure in a higher dimensional complex dataset.