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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

Data and Online Supplements

Publications
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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

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

  • CORS Annual Conference, Optimization Cluster Chair (2024)

  • INFORMS Chapters and Fora Committee Member (2022-present)

  • President of INFORMS/CORS UofT Chapter, (2019-2022)

    • INFORMS Honorable mention, 2020

    • INFORMS Magna cum laude 2021

  • Session Chair, Optimization Days, Montreal (2022)

  • Session Chair/Organizer, CORS/INFORMS International Conference (2022)

  • Session Chair, INFORMS Annual Meeting (2020, 2021)

  • Lead of student volunteers, CORS Annual Conference (2021)

  • Session Chair, INFORMS Telecommunications and Network Analytics Conference (2020)

In the Community

© 2022 by Maryam Daryalal

  • Google Scholar
  • ResearchGate
  • Twitter
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