Maryam Daryalal
Assistant Professor of Operations Research
Department of Decision Sciences
HEC Montréal, University of Montréal
maryam [dot] daryalal [at] hec [dot] ca
Department of Decision Sciences
HEC Montréal | University of Montréal
3000 Côte-Sainte-Catherine Road
Montréal, QC H3T 2A7
Education
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Ph.D., Industrial Engineering, University of Toronto (2022)
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M.S., Computer Science, Concordia University (2016)
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M.S., Industrial Engineering, Amirkabir University of Technology (2013)
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B.S., Industrial Engineering & Systems Analysis, Amirkabir University of Technology (2011)
Research Interests
Methodology
Application Areas
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Stochastic optimization
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Robust optimization
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Integer programming
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Large-scale optimization
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Description logic
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Decision making under uncertainty
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Telecommunications
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Healthcare
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Supply chain planning
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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.
Journal Publications
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M. Daryalal, A.N. Arslan, M. Bodur. Two-stage and Lagrangian dual decision rules for multistage adaptive robust optimization. Under revision at Operations Research. [pdf]
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M. Daryalal, H. Pouya, Marc-Antoine DeSantis. Network migration problem: A hybrid logic-based Benders decomposition. INFORMS Journal on Computing, Articles in Advance, pp. 1-21, 2023. [pdf]
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M. Daryalal, M. Bodur, J. Luedtke. Lagrangian dual decision rules for multistage stochastic mixed integer programming. Operations Research, Articles in Advance, pp. 1-21, 2022. [pdf]
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M. Daryalal, M. Bodur. Stochastic RWA and lightpath rerouting in WDM networks. INFORMS Journal on Computing, volume 34, issue 5, pp. 2383-2865, C2, 2022. [pdf]
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B. Jaumard, M. Daryalal. Efficient spectrum utilization in large scale RWA problems. IEEE/ACM Transactions on Networking, volume 25, issue 2, pp. 1263-1278, 2017. [pdf]
Refereed Conference Proceedings
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B. Jaumard, M. Daryalal. Optimizing spectrum utilization in dynamic RWA. IEEE International Conference on Optical Network Design and Modeling (ONDM), pages 1-6, 2016. [pdf]
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B. Jaumard, M. Daryalal. Scalable elastic optical path networking models. IEEE International Conference on Transparent Optical Networks (ICTON), pages 1-4, 2016. [pdf]
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J. Vlasenko, M. Daryalal, V. Haarslev, B. Jaumard. A saturation-based algebraic reasoner for ELQ. Practical Aspects of Automated Reasoning, 8th International Joint Conference on Automated Reasoning (IJCAR), pages 110-124, 2016. [pdf]
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B. Jaumard, M. Daryalal. Solving very large RWA data instances. IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), pages 1-6, 2016. [pdf]
Other Publications
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M. Daryalal. Sequential decision-making under uncertainty: novel methodologies and applications. PhD Dissertation, 2022. [pdf]
Data and Online Supplements
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Data for paper "Stochastic RWA and lightpath rerouting in WDM networks", by Daryalal and Bodur. [StochasticRWA]
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Data for paper "Efficient spectrum utilization in large scale RWA problems", by Jaumard and Daryalal. [DetRWA]
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Data for paper "A saturation-based algebraic reasoner for ELQ", by Vlasenko, Daryalal, Haarslev, Jaumard. [ELQOntologies]
Awards & Honors
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Best Paper Award, INFORMS Telecom. & Network Analytics, INFORMS Annual Meeting (2023)
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Judith Liebman Award, INFORMS (2021)
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MIE Teaching Assistant Award, University of Toronto (2021)
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Best Student Paper Finalist, Canadian Operational Research Society (2021)
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Seth Bonder Foundation Student Grant, INFORMS (2020)
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Best Operations Research Poster, MIE Graduate Research Symposium (2018)
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Connaught International Scholarship Award, University of Toronto (2017)
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Concordia Merit Award, Concordia University (2014)
Conferences & Talks
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Large-scale optimization methods for logical reasoning: A novel perspective, Mixed-Integer Programming Workshop, Lexington (May 2024)
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Two-stage decision rules for multistage adaptive robust optimization, INFORMS Annual Meeting, Phoenix (2023)
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Network migration problem: A hybrid logic-based Benders decomposition approach, INFORMS Annual Meeting, Award presentations, Phoenix (2023)
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A hybrid logic-based Benders decomposition approach for the network migration problem, Discrete Optimization Talks, Online (2023)
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Novel decision rules in sequential decision-making under uncertainty, International Conference on Stochastic Programming, Davis (2023})
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Logic-based Benders decomposition for the network migration problem, International Network Optimization Conference (2022)
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Novel bounding techniques for multistage adaptive robust optimization, CORS/INFORMS International, Vancouver (2022)
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On primal and dual bounding techniques for multistage adaptive robust optimization, Optimization Days, Montreal (2022)
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Logic-based Benders decomposition and hybrid column generation for the network migration problem, Optimization Days, Montreal (2022)
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Stochastic routing and wavelength assignment problem in WDM networks, INFORMS Annual Meeting (2021)
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Integrated staffing and scheduling for service systems via multistage stochastic mixed-integer programming. CORS Annual Conference (2021)
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Stochastic routing and wavelength assignment problem in WDM networks . CIRRELT (2021)
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Lagrangian dual decision rules for integrated staffing and scheduling in service systems. INFORMS Annual Meeting ( 2020)
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Stochastic routing and wavelength assignment problem in network defragmentation. INFORMS Telecommunications and Network Analytics Conference (2020)
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Integrated staffing and scheduling for service systems via multistage stochastic integer programming. International Conference on Stochastic Programming, Trondheim (2019)
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Lagrangian dual decision rules for multistage stochastic integer programming. Optimization Days, Montreal (2019)
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Integrated pricing and routing decisions. INFORMS Revenue Management & Pricing, Toronto (invited, 2018)
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Facility location problem with general objective functions. MIE Graduate Research Symposium, Toronto (poster, 2018)
Professional Service
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CORS Annual Conference, Optimization Cluster Chair (2024)
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INFORMS Chapters and Fora Committee Member (2022-present)
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President of INFORMS/CORS UofT Chapter, (2019-2022)
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INFORMS Honorable mention, 2020
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INFORMS Magna cum laude 2021
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Session Chair, Optimization Days, Montreal (2022)
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Session Chair/Organizer, CORS/INFORMS International Conference (2022)
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Session Chair, INFORMS Annual Meeting (2020, 2021)
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Lead of student volunteers, CORS Annual Conference (2021)
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Session Chair, INFORMS Telecommunications and Network Analytics Conference (2020)