Sadaf Salehkalaibar
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Assistant Professor, |
About me
I am an assistant professor at the department of Computer Science, University of Manitoba and the director of CORE AI Lab. Prior to that, I was a research associate at the University of Toronto. I held an assistant professor position at the University of Tehran and several sabbatical opportunities at McMaster University, Telecom Paristech and National University of Singapore. I am particularly interested in developing efficient algorithms for explainable artificial intelligence and learning large models.
Openings
I am looking for multiple PhD and MSc students to join my research group. The ideal candidate will have a solid background in mathematics, deep learning and strong programming skills.
Interested candidates should contact me with a CV, all transcripts, and a motivation letter. Due to the high volume of inquiries, only shortlisted candidates will receive a response.
News
January 2026: Our CORE AI Lab welcomes our new graduate students, Farhad Mirzapour and Jonathon Dvorak.
December 2025: I will teach the course AI in winter.
November 2025: I will serve as a TPC member of CWIT 2026.
November 2025: I will serve as a TPC member of ISIT 2026.
September 2025: Our CORE AI Lab welcomes our new graduate student, Merna Youssef.
August 2025: I will teach the course " Deep Learning" in Fall.
April 2025: I am honored and thrilled to receive the NSERC Discovery Grant for my project, "Efficiency, Fidelity, Realism in the Era of Data-Driven Learning".
December 2024: I will teach the course " Artificial Intelligence" in winter.
December 2024: I will present our recent work "Perception loss function adaptive to rate for learned video compression" in a workshop of NeurIPS 2024 in Vancouver.
December 2024: Our paper "Rate-distortion-perception function of Gaussian vector sources" was published in IEEE Journal of Selected Areas in Information Theory.
November 2024: I will serve on the editorial board of IEEE Transactions on Communications as an associate editor.
November 2024: I will serve as a TPC member of ITW 2025.
November 2024: I will serve as a TPC member of ISIT 2025.
November 2024: Our paper "Rate-distortion-perception tradeoff based on the conditional-distribution perception measure" was published at IEEE Transactions on Information Theory.
April 2024: I will join the department of Computer Science at the University of Manitoba as an assistant professor starting from July 1, 2024.
April 2024: Our paper "Rate-distortion-perception tradeoff for lossy compression using conditional perception measure" was accepted at ISIT 2024.
April 2024: Our paper "Rate-distortion-perception function of Gaussian vector sources" was accepted as a spotlight paper in Learn to Compress workshop of ISIT 2024.
October 2023: Our paper "M22: A communication-efficient algorithm for federated learning inspired by rate-distortion" was published in IEEE Trans. on Communications.
September 2023: Our paper "On the choice of perception loss function for learned video compression" was accepted in NeurIPS 2023.
August 2023: Our paper "On the choice of perception loss function for learned video compression" was accepted as a spotlight paper in Neural Compression Workshop of ICML 2023.
June 2023: Our paper "M22: Rate-Distortion Inspired Gradient Compression" was published in proceedings of ICASSP 2023.
May 2023: I will serve as an organizer and a member of technical program committee for North American School of Information Theory, 2024.