Elaheh Fata
Assistant ProfessorOverview
Elaheh Fata is an Assistant Professor of Management Analytics at Smith School of Business in Kingston, Canada. Elaheh holds a Ph.D. from MIT, an MASc from University of Waterloo and a BSc from Sharif University of Technology.
Download Full CV Download Image 
Academic Area
- Management Analytics
Interest Topics
Faculty Details
Profile
Full Bio
Elaheh Fata is an Assistant Professor of Management Analytics at Smith School of Business in Kingston, Canada. Elaheh holds a Ph.D. from MIT, an MASc from University of Waterloo and a BSc from Sharif University of Technology.Academic Degrees
PhD candidate in Controls, Department of Aeronautics and Astronautics
Massachusetts Institute of Technology, Cambridge, MA (2020)
Master of Applied Science in Electrical and Computer Engineering
University of Waterloo (2013)
Bachelor of Science in Mechanical Engineering
Sharif University of Technology, Tehran, Iran (2010)
Academic Experience
Smith School of Business, Queen’s University
Assistant professor (2021 – Present)
IEOR, Columbia University, NY
Postdoctoral researcher (2020)
Publications
Papers Accepted or Under Review
Learning Optimal Online Advertising Portfolios with Periodic Budgets with Lennart Baardman, Abhishek Pani, and Georgia Perakis. Under review in Operations Research, under revision.
- Finalist in George Nicholson Student Paper Competition (2018)
- Finalist in IBM Best Student Paper Award (2019)
Multi-stage and Multi-customer Assortment Optimization with Inventory Constraints with Will Ma, and David Simchi-Levi. Under review in Operations Research
A Game of Public Facilities on Networks with Soroush Alamdari.
- Conference on Decision and Control (CDC 2018)
- Journal version to be submitted soon to Mathematics of Operations Research
A Notion of Robustness in Complex Networks with Haotian Zhang, and Shreyas Sundaram. IEEE Transaction on Control of Network Systems Journal (TCNS 2015), 2(3), pp. 310-320.
Persistent Monitoring in Discrete Environments: Minimizing the Maximum Weighted Latency between Observations with Soroush Alamdari, and Stephen L. Smith. The International Journal of Robotics Research (IJRR 2014), 33(1), pp. 138-154.
- A preliminary conference version appeared in the Workshop on Algorithmic Foundations of Robotics (WAFR 2013)
Distributed Dominating Sets on Grids with Stephen L. Smith, and Shreyas Sundaram.
- American Control Conference (ACC 2013)
Preprints and Working Papers
Dynamic Creative Content Optimization in Online Display Advertising with Lennart Baardman, Abhishek Pani, and Georgia Perakis. To be submitted soon to Management Science.
Performance Guarantees for Revenue Maximization in Online Type Matching with Will Ma, and David Simchi-Levi. Work in progress.
Comparison of Classical and Nonlinear Models for Short-term Electricity Price Prediction with Igor Kadota, and Ian Schneider. Working paper.
Teaching
Teaching Experiences
Massachusetts Institute of Technology, Cambridge, MA
Teaching Assistant for Mathematics for Computer Science (6.042), Spring 2018
Enrollment: 165 (Undergraduate course)
Responsible for teaching weekly recitations, designing and grading exams and assignments
Teaching Assistant for Advanced Undergraduate Research Program (6.UAR), Fall 2016
Enrolment: 150 (Undergrad course)
Responsible for mentoring students on their undergraduate projects
University of Waterloo, Waterloo, Ontario, Canada
Teaching Assistant for Algorithm Design and Analysis (ECE406), Spring 2013
Undergraduate course
Responsible for teaching weekly recitations
Student Supervision
Milad Mirzaee, PhD student in Management, co-advised with Guang Li
Research
Research Employments and Experiences
Adobe Systems Incorporated, San Jose, CA, Data Scientist (2018)
Massachusetts Institute of Technology, Cambridge, MA Research Assistant (2013-2015)
Tangam Systems, Waterloo, Ontario, Canada, Algorithm Designer (2013)
University of Waterloo, Waterloo, Ontario, Canada, Research Assistant (2011-2013)
Research Interests
Data-driven revenue management, online marketplaces, online matching, machine learning, fairness in machine learning
Presentations
Conference and Workshop Presentations
Learning Optimal Online Advertising Portfolios with Periodic Budgets, MSOM 2018, RMP 2019, INFORMS 2018
Performance Guarantees for Revenue Maximization in Online Type Matching, RMP 2018, INFORMS 2018, POMS 2019
Multi-stage and Multi-customer Assortment Optimization with Inventory Constraints, Cornell ORIE Workshop on Data-driven Decision-marking 2019, INFORMS 2019
Dynamic Creative Content Optimization in Online Display Advertising, INFORMS 2019, INFORMS 2020
A Game of Public Facilities on Networks, CDC 2018
Distributed Dominating Sets on Grids, ACC 2013
Persistent Monitoring in Discrete Environments: Minimizing the Maximum Weighted Latency between Observations, WAFR 2013
Awards
Honors and Awards
Finalist in IBM Best Student Paper Award, 2019
Finalist in George Nicholson Student Paper Competition, 2018
Conference on Decision and Control (CDC) Student Travel Grant, 2018
MIT Graduate School Council (GSC) Student Travel Grant, 2018
University of Waterloo Faculty of Engineering Graduate Scholarship, 2012
University of Waterloo Special Graduate Scholarship, 2012
Service
Referee
INFORMS Optimization Journal, CDC 2018, Systems & Control Letters, FAW 2015, CDC 2015, ACC 2013