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Biography

Rahman Khorramfar joined MIT Energy Initiative as a postdoc associate in November 2021. His current research focuses on modeling multi-vector (electricity, natural gas, hydrogen) energy systems. In particular, he is developing mathematical formulations to study the planning and operation of integrated energy systems under resiliency considerations and its implications on the decarbonization of space heating in cold climates.
Rahman received his PhD from NC State University in Industrial and Systems Engineering (ISE), where he developed solution approaches to study hierarchical decision making and decision making under uncertainty for problems arising in production planning and capacity expansion settings. During his PhD, Rahman participated in several student competitions and challenges for which his team won the “IBM 2020 Call for Code Spot Challenge” and “IISE Logistics and Supply Chain Student Case Competition”.

Activities

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Employment (1)

Massachusetts Institute of Technology: Cambridge, MA, US

2021-11-01 to 2023-11-01 | Postdoc Associate (Energy Initiative)
Employment
Source: Self-asserted source
Rahman Khorramfar

Education and qualifications (1)

North Carolina State University: Raleigh, North Carolina, US

2017-08-12 to 2021-09-30 | PhD (Industrial and Systems Engineering)
Education
Source: Self-asserted source
Rahman Khorramfar

Works (4)

Electric-gas infrastructure planning for deep decarbonization of energy systems

Applied Energy
2024-01 | Journal article
DOI: 10.1016/j.apenergy.2023.122176
Contributors: Rahman Khorramfar; Dharik Mallapragada; Saurabh Amin
Source: check_circle
Crossref

Learning Spatio-Temporal Aggregations for Large-Scale Capacity Expansion Problems

2023-05-09 | Conference paper
DOI: 10.1145/3576841.3585920
Contributors: Aron Brenner; Rahman Khorramfar; Saurabh Amin
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Crossref

Graph Representation Learning for Energy Demand Data: Application to Joint Energy System Planning under Emissions Constraints ...

2022 | Report
DOI: 10.48550/arxiv.2209.12035
SOURCE-WORK-ID: BASE:8fe4e9090e790a35faa405b538ffead4f6f8a8756cfe5d5c2f582f128914b5b2
Contributors: Brenner, Aron; Khorramfar, Rahman; Mallapragada, Dharik; Amin, Saurabh
Source: Self-asserted source
Rahman Khorramfar via BASE - Bielefeld Academic Search Engine

Managing Product Transitions: A Bilevel Programming Approach

INFORMS Journal on Computing
2022-09 | Journal article
DOI: 10.1287/ijoc.2022.1210
Contributors: Rahman Khorramfar; Osman Y. Özaltın; Karl G. Kempf; Reha Uzsoy
Source: check_circle
Crossref

Peer review (1 review for 1 publication/grant)

Review activity for Energy systems. (1)
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