About me

Hi, I’m Mahsa Sahebdel.

I am currently a Computer Science MS/PhD student at the Manning College of Information and Computer Sciences in University of Massachusetts Amherst. I am working at the Sustainability, Optimization, Learning, and Algorithms Research Lab under the supervision of Mohammad Hajiesmaili. My work focuses on designing learning-augmented online algorithms for optimizing various objectives across different applications.

News

• 2026.5: I joined Symbotic as an ML Engineer Intern!

• 2026.1: I received the Spring 2026 Thesis Proposal Writing Fellowship!

• 2025.12: Our paper, Smoothed Online Optimization for Target Tracking: Robust and Learning-Augmented Algorithms, got accepted to ALT 2026!

• 2025.10: Our paper, BOLA360: Near-Optimal View and Bitrate Adaptation for 360-Degree Video Streaming got accepted to ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)!

• 2025.8: Honored as Outstanding Reviewer for KDD 2025 (August Cycle)!

• 2025.4: Our paper, LEAD: Towards Learning-Based Equity-Aware Decarbonization in Ridesharing Platforms got accepted to ACM FAccT’25!

• 2025.2: Recognized as Commendable Reviewer for KDD 2025 (February Cycle)!

• 2024.7: Our paper, A Safe Exploration Strategy for Model-free Task Adaptation in Safety-constrained Grid Environments got accepted to ICDS’24!

• 2023.11: Our paper, A Holistic Approach for Equity-aware Carbon Reduction of Ridesharing Platforms got accepted to ACM e-Energy’24!

• 2023.6: I gave an invited talk and participated in a panel discussion at the ACM Workshop on Societal Decarbonization!

• 2023.6: I’m attending FCRC23—let me know if you are there!

• 2023.6: Our workshop paper, Data-driven Algorithms for Reducing the Carbon Footprint of Ride-sharing Ecosystems got accepted to ACM e-Energy’23!

• 2023.1: I received the Common Good Fellowship from CICS!

Publications

• BOLA360: Near-optimal View and Bitrate Adaptation for 360-degree Video Streaming
  Ali Zeynali, Mahsa Sahebdel, Mohammad H. Hajiesmaili, Ramesh K. Sitaraman
  (ACM Transactions on Multimedia Computing, Communications and Applications — 2025)
  Paper

• LEAD: Towards Learning-Based Equity-Aware Decarbonization in Ridesharing Platforms
  Mahsa Sahebdel, Ali Zeynali, Noman Bashir, Prashant Shenoy, Mohammad H. Hajiesmaili (ACM FAccT 2025) – Paper

• A Safe Exploration Strategy for Model-free Task Adaptation in Safety-constrained Grid Environments
  Erfan Entezami, Mahsa Sahebdel, Dhawal Gupta
  (ICDS 2024) – Paper

• A Holistic Approach for Equity-aware Carbon Reduction of Ridesharing Platforms
  Mahsa Sahebdel, Ali Zeynali, Noman Bashir, Prashant Shenoy, Mohammad H. Hajiesmaili (ACM e-Energy 2024) – Paper

• Data-driven Algorithms for Reducing the Carbon Footprint of Ride-sharing Ecosystems
  Mahsa Sahebdel, Ali Zeynali, Noman Bashir, Mohammad H. Hajiesmaili, Jimi Oke (ACM e-Energy 2023) – Poster Paper

• TeleCrowd: A Crowdsourcing Approach to Create Informal to Formal Text Corpora
  Vahid Masoumi, Mostafa Salehi, Hadi Veisi, Golnoush Haddadian, Vahid Ranjbar, Mahsa Sahebdel (arxiv) – Paper

Professional Services

• Senior Area Chair (SAC)
  KDD 2026 (Applied Data Science Track)

• Reviewer

  • KDD 2026 (1st Cycle)
  • Industry Track of The ACM Web Conference 2026
  • NeurIPS 2025
  • KDD 2025 (August Cycle)
  • KDD 2025 (February Cycle)