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

• March 2024, Middle East Technical University, Industrial Engineering Department, Virtual.
• 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

Industrial Engineering & Operations Research, UC Berkeley

Course Instructor:

• IEOR 151: Service Operations Design and Analysis, Fall 2022

  Teaching effectiveness evaluation: 6.72/7.00 (Department average: 6.03)

  Student Testimony Highlights:

  "Professor Dogan was one of the most passionate instructors I've had in any educational environment. It is clear that she has strong understanding of material and is one of the most approachable professors I've had during my time here. Professor Dogan really made this semester great and I wish there were more IEOR faculty like her."

  "This has been a course that has established one of the best classroom climates I've ever witnessed in my time here at Cal."

  "Professor Dogan is one of the professors I have never hesitated to ask a question to. She is kind and approachable, and you can tell she genuinely cares about her students."

  "I really liked the concepts covered since it was a great overview that was a great middle ground between super heavy optimization classes and super business classes."

  "Thank you Ilgin! This class has to be one of the best IEOR classes I've ever taken, and I think Ilgin did an amazing job considering it was her first time teaching the course."

  "If Ilgin has capacity in her schedule to teach future iterations of this course, I think a ton of students would benefit heavily and would thoroughly enjoy learning under her!"

Teaching Assistant:

• IEOR 151: Service Operations Design and Analysis, Fall 2019 & 2020

  Teaching effectiveness evaluation: 4.60/5.00 (Department average: 4.27)

  Student Testimony Highlights:

  "Ilgin was very well–prepared, explained ideas effectively, and always made her discussion section a pleasant experience. Thank you from the bottom of my heart for a wonderful semester. Ilgin is one of the best GSI's I have had at Berkeley in my four years."

  "Ilgin, your discussions were the highlight of my week! Loved the passion with which you taught. Thanks for explaining challenging algorithms involved in the course that weren't so clear through lecture – like residency matching and savings algorithms – so nicely."

• IEOR 165: Engineering Statistics, Quality Control, and Forecasting, Spring 2020

  Teaching effectiveness evaluation: 4.62/5.00 (Department average: 3.95)

  Student Testimony Highlights:

  "Really great at outlining the material and the purpose of why we're learning it. Clears up confusion from lecture without asking and really enthusiastic about the material!"

  "I've had Ilgin as my GSI for two semesters now, and I really appreciate her thorough knowledge of the course material! She makes discussions interactive and invites participation which can definitely be trying so I commend her for that! Her teaching style and classroom control are super effective!"

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%.

Meta

Research Data Scientist Intern
Infrastructure Strategy Data Science, Menlo Park, CA
Project: Targeting Viewers and Broadcasters for Ultra-Low End-to-End Live Stream Latency

• Developed an ML framework, from data analysis to model productionization, attaining 70% precision, 63% recall, and 91% coverage of latency-sensitive broadcast watch time.

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.