Portrait of Bo Sun

Bo Sun

Assistant Professor
School of Electrical Engineering and Computer Science
University of OttawaFaculty Affiliate, Vector Institute

Research interests

My research focuses on developing optimization and machine learning algorithms for decision-making under uncertainty. I am particularly interested in online algorithms for sequential decision-making, learning-augmented algorithms that make reliable use of imperfect predictions, and multi-objective optimization approaches that balance efficiency, fairness, risk, and sustainability. My work is motivated by applications in energy systems, data centers, and other large-scale networked systems.

Open positions

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I am looking for self-motivated undergraduate, MSc, and PhD students who are interested in sequential decision-making under uncertainty, optimization, machine learning, and related problems in networked systems. To express your interest, please email me a brief description of your research interests and relevant experience, together with your CV and transcripts. Due to the volume of inquiries, I may only be able to respond to shortlisted candidates.

Selected publications

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  1. WWW 2026

    Online Rounding and Pricing Schemes for k-Rental Problems

    H. Nekouyan, B. Sun, R. Boutaba, and X. Tan, ACM WWW, 2026.

  2. SIGMETRICS 2025

    Online Allocation with Multi-Class Arrivals: Group Fairness vs Individual Welfare

    F. Zargari, H. Jazi, B. Sun, and X. Tan, ACM SIGMETRICS, 2025.

  3. SIGMETRICS 2025

    Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints

    A. Lechowicz, N. Christianson, B. Sun, N. Bashir, M. Hajiesmaili, A. Wierman, and P. Shenoy, ACM SIGMETRICS, 2025.

  4. ICML 2024

    Online Algorithms with Uncertainty-Quantified Predictions

    B. Sun, J. Huang, N. Christianson, M. Hajiesmaili, A. Wierman, and R. Boutaba, ICML, 2024.

  5. WINE 2024

    Static Pricing for Online Selection Problem and its Variants

    B. Sun, H. Jazi, X. Tan, and R. Boutaba, WINE, 2024.

  6. COLT 2024

    Risk-Sensitive Online Algorithms

    N. Christianson, B. Sun, A. Wierman, and S. Low, COLT, 2024.

  7. SIGMETRICS 2023

    The Online Knapsack Problem with Departures

    B. Sun, L. Yang, M. Hajiesmaili, A. Wierman, J.C.S. Lui, D. Towsley, and D.H.K. Tsang, ACM SIGMETRICS, 2023.