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Rafid Mahmood

I am an Assistant Professor at the Telfer School of Management in the University of Ottawa. I am also a part-time Sr. Research Scientist at the NVIDIA Toronto AI Lab.

I am interested in the operational challenges behind the deployment and use of AI systems. I use deep learning and data-driven optimization for problems where the typical forms of large-scale data collection and model tuning are prohibitive. My work addresses ML technology (e.g., computer vision systems), healthcare (e.g., personalized medicine), and finance (e.g., portfolio optimization). I am also interested in general data science problems (e.g., sports analytics).

Students interested in (Undergraduate/Masters/PhD) supervision at Telfer are welcome to contact me here with a CV and transcript.

Graduate students interested in internships at NVIDIA are welcome to contact me here with a CV and summary of research interests.

News

Jan 15, 2024 Our paper Translating Labels to Solve Annotation Mismatches Across Object Detection Datasets was accepted at ICLR 2024.
Oct 20, 2023 Our review paper Inverse Optimization: Theory and Applications was accepted at Operations Research.
Oct 16, 2023 Our paper Got (Optimal) Milk? Pooling Donations in Human Milk Banks with Machine Learning and Optimization won First Place for the Pierskalla Best Paper Award in Healthcare!
Oct 3, 2023 I will be speaking about our recent work on optimizing data collection at the ICCV 2023 Tutorial on Learning with Noisy and Unlabeled Data for Large Models beyond Categorization
Sep 30, 2023 Our paper Got (Optimal) Milk? Pooling Donations in Human Milk Banks with Machine Learning and Optimization was accepted at M&SOM.
Sep 19, 2023 Our paper Learning To Optimize Contextually Constrained Problems for Real-Time Decision Generation was accepted with minor revisions at Management Science.
Aug 20, 2023 Our paper Bridging the Sim2RealGap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting was accepted with minor revisions at TMLR.
Jun 24, 2023 Our paper Got (Optimal) Milk? Pooling Donations in Human Milk Banks with Machine Learning and Optimization is a Finalist for the MSOM 2023 Practice-Based Research Competition and will be presented in a special seminar at MSOM 2023.