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About Me

Maryam Daryalal

Assistant Professor of Operations Research

Department of Decision Sciences

HEC Montréal, University of Montréal

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maryam [dot] daryalal [at] hec [dot] ca

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Department of Decision Sciences
HEC Montréal | University of Montréal
3000 Côte-Sainte-Catherine Road

Montréal, QC H3T 2A7 

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Education

  • Ph.D., Industrial Engineering, University of Toronto (2022)

  • M.S., Computer Science, Concordia University (2016)

  • M.S., Industrial Engineering, Amirkabir University of Technology (2013)

  • B.S., Industrial Engineering & Systems Analysis, Amirkabir University of Technology (2011)

Research Interests

Methodology

Application Areas

  • Stochastic optimization

  • Robust optimization

  • Integer programming

  • Large-scale optimization

  • Description logic

  • Decision making under uncertainty

  • Telecommunications

  • Healthcare

  • Supply chain planning

  • Semantic web

The focus of my research is to expand the methodological aspects of sequential decision-making under uncertainty and its applications. In doing so, I develop novel decision rules and solution techniques to obtain policies and bounds on multistage stochastic programming and robust optimization problems. Moreover, I study such sequential decision-making problems that arise in various application areas, including telecommunications industry, healthcare sector, and supply chain management.

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Journal Publications

Refereed Conference Proceedings

Other Publications

Students

Current

PhD

  • Mahsa Hajamini (Co-advise with Dr. Louis-martin Rousseau and Dr. Hossein Hashemi Doulabi)

  • Wanzheng Liu (Co-advise, Dalian University of Technology)

MSc

  • Soheil Tavanal

  • Pedram Peiro

  • Nastaran Behzadpour (Co-advise with Dr. Michel Denault and Dr. Pierre-Olivier Pineau)

  • Kamel Yousri Amrouche

BBA

  • Adrien Darbes

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Past

  • Philippe Béliveau, MITACS Accelerate Intern (Fall 2024)

  • Zixuan Yang, MITACS Globalink Intern (Summer 2024)

  • Yubo Cai, MITACS Globalink Intern (Summer 2023)

  • Haoyuan Xue, BASc (co-supervised, 2022)

    • Centennial Senior Project Award, University of Toronto (2022)

Data and Online Supplements

Publications
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Funding

Principal Investigator

  • IVADO Grant R3AI Regroupment 9 (April 2025 - March 2027)

    • Funding source: IVADO

    • Title: Learning-based sequential decision-making under uncertainty

    • Amount: 40,000$

  • Discovery Grant (April 2024 - March 2029)

    • Funding source: Natural Sciences and Engineering Research Council of Canada (NSERC)

    • Title: Multistage stochastic programming and robust optimization: Novel methodologies and applications

    • Amount: 170,000$ - Discovery Launch Supplement: 12,500$

  • Mitacs Accelerate Program (June 2024 - December 2024)

    • Funding source: Mitacs

    • Title: Sequential relational synthetic data generation

    • Amount: 15,000$

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Co-PI

  • IVADO Exploratory Projects Program (November 2024 - October 2025)

    • Funding source: IVADO

    • Title: Large-scale power grids: Transition to net zero

    • Amount: 100,000$

    • Co-PIs: Michel Denault, Pierre-Olivier Pineau

Awards & Honors

  • Best Paper Award, INFORMS Telecom. & Network Analytics, INFORMS Annual Meeting (2023)

  • Judith Liebman Award, INFORMS (2021)

  • MIE Teaching Assistant Award, University of Toronto (2021)

  • Best Student Paper Finalist, Canadian Operational Research Society (2021)

  • Seth Bonder Foundation Student Grant, INFORMS (2020)

  • Best Operations Research Poster, MIE Graduate Research Symposium (2018)

  • Connaught International Scholarship Award, University of Toronto (2017)

  • Concordia Merit Award, Concordia University (2014)

Conferences & Talks

  • A risk-aware location-allocation-pricing problem with stochastic price-sensitive demands, International Symposium on Mathematical Programming, Montreal (2024)

  • Large-scale optimization methods for logical reasoning: A novel perspective, Mixed-Integer Programming Workshop, Lexington (2024, invited speaker)

  • Large-scale optimization methods for logical reasoning: A novel perspective, GERAD Research Seminars, Montreal (May 2024)

  • A risk-aware location-allocation-pricing problem with stochastic price-sensitive demands, Optimization Days, Montreal (May 2024)

  • Two-stage decision rules for multistage adaptive robust optimization, INFORMS Annual Meeting, Phoenix (2023)

  • Network migration problem: A hybrid logic-based Benders decomposition approach, INFORMS Annual Meeting, Award presentations, Phoenix (2023)

  • A hybrid logic-based Benders decomposition approach for the network migration problem, Discrete Optimization Talks, Online (2023)

  • Novel decision rules in sequential decision-making under uncertainty, International Conference on Stochastic Programming, Davis (2023})

  • Logic-based Benders decomposition for the network migration problem, International Network Optimization Conference (2022)

  • Novel bounding techniques for multistage adaptive robust optimization, CORS/INFORMS International, Vancouver (2022)

  • On primal and dual bounding techniques for multistage adaptive robust optimization, Optimization Days, Montreal (2022)

  • Logic-based Benders decomposition and hybrid column generation for the network migration problem, Optimization Days, Montreal (2022)

  • Stochastic routing and wavelength assignment problem in WDM networks, INFORMS Annual Meeting (2021)

  • Integrated staffing and scheduling for service systems via multistage stochastic mixed-integer programming. CORS Annual Conference (2021)

  • Stochastic routing and wavelength assignment problem in WDM networks . CIRRELT (2021)

  • Lagrangian dual decision rules for integrated staffing and scheduling in service systems. INFORMS Annual Meeting ( 2020)

  • Stochastic routing and wavelength assignment problem in network defragmentation. INFORMS Telecommunications and Network Analytics Conference (2020)

  • Integrated staffing and scheduling for service systems via multistage stochastic integer programming. International Conference on Stochastic Programming, Trondheim (2019)

  • Lagrangian dual decision rules for multistage stochastic integer programming. Optimization Days, Montreal (2019)

  • Integrated pricing and routing decisions. INFORMS Revenue Management & Pricing, Toronto (invited, 2018)

  • Facility location problem with general objective functions. MIE Graduate Research Symposium, Toronto (poster, 2018)

Professional Service

  • Councils/committees:

    • Council member, INFORMS Telecommunications & Network Analytics Section (2025-2028)

    • Committee member, INFORMS Chapters and Fora (2022-2024)

  • Award evaluations:

    • Chair, Best Paper Award, INFORMS TNA Section (2025)

    • Committee member, Best Undergraduate Paper Award, CORS (2025)

  • Conference organization activities & roles

    • INFORMS Computing Society Conference, Sponsorship chair (2025)

    • CORS Annual Conference, Cluster chair (2024)

    • Conference session chair/organizer:

      • ISMP, Montreal (2024), Optimization Days, Montreal (2022, 2024), CORS/INFORMS International Conference (2022), INFORMS Annual Meeting (2020, 2021), INFORMS Telecommunications & Network Analytics Conference (2020)

  • President of INFORMS/CORS Student Chapter at University of Toronto, (2019-2022)

    • INFORMS Student Chapter Award - Magna cum laude, 2021

    • INFORMS Student Chapter Award - Honorable mention, 2020

  • Ad-hoc Reviewer/Referee:
    Mathematical Programming, Operations Research, INFORMS Journal on Computing, Health Care Management Science, European Journal of Operational Research, Annals of Operational Research, Information Systems and Operational Research, IEEE Communications Letters, CPAIOR

In the Community

© 2022 by Maryam Daryalal

  • Google Scholar
  • ResearchGate
  • Twitter
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