Ilgin Dogan

About Me

I am an Assistant Professor of Technology and Operations Management at INSEAD.

I received my Ph.D. in Industrial Engineering and Operations Research from the University of California, Berkeley, where I was fortunate to be jointly advised by Zuo-Jun Max Shen and Anil Aswani. During my time at Berkeley, I gained experience working with the data science and advanced analytics teams at Meta and Apple. I hold B.S. and M.S. degrees in Industrial Engineering from the Middle East Technical University.

Research

My research designs stochastic data-driven models and computational algorithms for operations management (OM) involving strategic agents with information asymmetries, which manifest by limitations in data that is shared between parties. This work revitalizes classical OM theory by drawing from a diverse spectrum of techniques in online sequential learning, statistics, artificial intelligence, optimization, and principal-agent theory.

I am particularly interested in exploring applications in the domain of (environmental) sustainability analytics, where I specialize in formulating sustainable business operations that effectively mitigate the climate crisis. Moreover, my work holds wide practical relevance, extending to areas such as supply chain management and healthcare analytics.

Journal Papers

Repeated Principal-Agent Games with Unobserved Agent Rewards and Perfect-Knowledge Agents.
Ilgin Dogan, Zuo-Jun Max Shen, and Anil Aswani.
Major Revision, Operations Research.

Estimating and Incentivizing Imperfect-Knowledge Agents with Hidden Rewards.
Ilgin Dogan, Zuo-Jun Max Shen, and Anil Aswani.
Under Review, Operations Research.

Regret Analysis of Learning-Based MPC with Partially-Unknown Cost Function.
Ilgin Dogan, Anil Aswani, and Zuo-Jun Max Shen.
IEEE Transactions on Automatic Control (2024), Vol. 69 (5), pp. 3246-3253.

Representing the Nondominated Set in Multi-objective Mixed-integer Programs.
Ilgin Dogan, Banu Lokman, and Murat Köksalan.
European Journal of Operational Research (2022), Vol. 296 (3), pp. 804-818.

Working Papers

Strategies for Climate Resilience: Mitigating Flooding Risks in Location Planning..
Ilgin Dogan, Anil Aswani, Ho-Yin Mak, and Zuo-Jun Max Shen.
Working paper.

Incorporating Fairness into Incentive Design in Principal-Agent Models with Adverse Selection and Moral Hazard.
Yoon Lee, Ilgin Dogan, Anil Aswani, and Zuo-Jun Max Shen.
In preparation for submission.

Invited Talks & Conference Presentations

February 2025, European Technology & Operations Management Online Seminar Series.
December 2024, University of Portsmouth Business School.
March 2024, Middle East Technical University, Industrial Engineering Department.
October 2023, INFORMS Annual Meeting, Phoenix, AZ, U.S.
May 2023, Annual POMS Conference, Orlando, FL, U.S.
October 2022, INFORMS Annual Meeting, Indianapolis, IN, U.S.
October 2021, INFORMS Annual Meeting, Anaheim, CA, U.S.
November 2020, INFORMS Annual Meeting, Virtual.
October 2019, INFORMS Annual Meeting, Seattle, WA, U.S.
November 2018, INFORMS Annual Meeting, Phoenix, AZ, U.S.
July 2017, 24th International Conference on Multiple Criteria Decision Making, Ottawa, Canada.

Teaching Experience

Technology & Operations Management, INSEAD

Instructor:

Process & Operations Management, MBA Core, Spring 2025

Industrial Engineering & Operations Research, UC Berkeley

Instructor:

IEOR 151: Service Operations Design and Analysis, Fall 2022

Teaching Assistant:

IEOR 151: Service Operations Design and Analysis, Fall 2019 & 2020
IEOR 165: Engineering Statistics, Quality Control, and Forecasting, Spring 2020

Haas School of Business, UC Berkeley

Reader:

UGBA 141: Production and Operations Management, Spring 2021

Industrial Engineering, Middle East Technical University

Teaching Assistant:

EM 501: Management Accounting and Engineering Economics, Spring 2018
IE 4907: Multi-Objective Combinatorial Optimization, Spring 2018
IE 102: Industrial Engineering Orientation, Spring 2018
IE 4912: Stochastic Optimization with Applications, Fall 2017
IE 368: Quality Planning and Control, Spring 2017
EM 533: Quality in Engineering Management, Spring 2017
IE 347: Engineering Economy, Fall 2016 & 2017
IE 265: Introduction to Probability, Fall 2016

Industry Experience

Apple

Advanced Analytics Ph.D. Intern
WorldWide Business Process Re-engineering – Advanced Analytics, Sunnyvale, CA
Project 1: iPhone Facility Layout Optimization

Engineered an automated pipeline utilizing mixed-integer linear models to optimize spatial layouts, saving space utilization and reducing layout generation from days to minutes.

Project 2: Parallel Optimization for AppleCare Supply Planning Solvers

Employed graph decomposition methods to divide the bill of materials into distinct groups for parallel optimization, balancing resource allocation and saving run-time over 15%.

Robert Bosch GmbH

Service Operations Intern
Business Excellence Deployment, Bursa, Turkiye
Project: Deploying Kaizen Methodology

Developed statistical quality control models to enhance the deployment of Kaizen (continuous improvement) methodology and lean manufacturing at the enterprise level.

Honors, Fellowships, and Awards

IEOR Faculty Fellowship, UC Berkeley, 2021.
"This fellowship stands as the top graduate student award within the department. This annual recognition is awarded to an outstanding graduate student, selected from a pool of graduate students who excel in academics and leadership, as nominated by the faculty."

Outstanding Graduate Student Instructor Award, UC Berkeley, 2021.
"This award honors UC Berkeley teaching assistants annually for exceptional teaching on campus, as nominated within their department."

IEOR Ph.D. First-year Fellowship, UC Berkeley, 2018-2019.

Graduate Research Fellowship, Turkish Scientific and Technological Research Council (TUBITAK, NSF-equivalent), 2017-2018.

Graduate Courses Performance Award, Middle East Technical University, 2018.

Dean's High Honor List in B.S., Department of Industrial Engineering, Middle East Technical University, 2016.