University Seminar Talks
Dokyun Lee, Emaad Manzoor, Zhaoqi Cheng “Focused Concept Miner: Interpretable Deep Learning for Text Exploration”

• Emory 2021 (to be rescheduled)
• Ohio State University 2021 (to be rescheduled)
• UCI 2021 (to be scheduled)​​
• University of Washington 2021 Virtual Talk
• UT Austin (Marketing) 2021 Virtual Talk
• UBC 2021 Virtual Talk
• University of Hamburg 2021 Virtual Talk
• USC (Marketing) 2021 Virtual Talk
• UT Austin (IROM) 2021 Virtual Talk
• UCSD (Marketing) 2021 Virtual Talk
• University of Connecticut 2021 Virtual Talk
• Michigan State University 2021 Virtual Talk
• Boston University 2021 Virtual Talk
• Boston College 2020 Virtual talk
• Rutgers University 2020 Virtual Talk
• New York University (Marketing) 2020
• The Wharton School (Marketing) 2020
• University of Michigan 2020
• Harvard University (Marketing) 2020
• Georgia Institute of Technology 2020
• University of Maryland 2019 Sept
• HEC Paris 2019 July
• University of Minnesota 2019 May
• University of Pittsburgh (Advanced Research through Computing Symposium) 2019 March
• USC (DSO) 2019 Jan
• Seoul National University 2018 Dec
• KAIST 2018 Dec
• McGill University 2018 Nov

Zhaoqi Cheng,  Dokyun Lee, Prasanna Tambe. “Patents, Generative Algorithms, and Innovation Frontiers”

• Harvard University 2021 Virtual Talk (Scheduled)
• Temple University 2021 Virtual Talk (To be scheduled)

Dokyun Lee, Kartik Hosanagar, Harikesh Nair. “Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook”

• Cornell University 2015
• New York University 2015
• Carnegie Mellon University 2015
• Emory University 2015
• University of Washington 2015
• University of Texas at Dallas 2015
• University of Rochester 2015
• University of Maryland 2015
• University of Minnesota 2015

Invited or Organized Tutorials, Panels, Keynote Sessions

• [Tutorial] AI/ML for Business (Interpretable ML) Day-long Tutorial, HEC Paris, 2021
• ​[Keynote] "Patents, Generative Algorithms, and Innovation Frontier" Conference on Artificial Intelligence, Machine Learning, and Digital Analytics, Virtual, 2020
• [Panel] AI for Retail Post COVID-19, Virtual Panel, Tepper Alumni Event, 2020
• [Panel] AI for Retail Post COVID-19, Virtual Roundtable, CMU AI Retail & Service Design Initiative (CAIRS), 2020
• ​[Keynote] "Interpretable Machine Learning: The Problem, Progress, and Potential for Marketing Research" Conference on Artificial Intelligence, Machine Learning, and Digital Analytics, Temple University, 2019
• [Keynote]  “State of the AI/ML for Empirical Business Research”, Wharton Innovation Doctoral Symposium, 2019
• [Keynote] AI/ML for Business (Interpretable ML) Talk, CMU MBA Data Analytics Club, 2019
• [Session] Theories and Applications of Interpretable Machine Learning, INFORMS 2019
• [Keynote] “Teaching Advanced NLP to MSBA” IT Teaching Workshop at The Wharton School 2019
• [Keynote] “Interpretable ML for Business Researcher”, INFORMS Marketing, Summer Workshop on ML 2019
• [Keynote] “Dangers and Pitfalls of Misusing AI/ML in Business”, Boston Consulting Group, 2019
• [Tutorial] “Deep Learning Tutorial”, Statistical Challenges in E-Commerce (invited) 2019
• [Panel] AI/ML Panel Organizer and Moderator, INFORMS CIST 2018
• [Keynote] AI/ML for Business (Interpretable ML) Talk, CMU MBA Data Analytics Club, 2018
• [Keynote] AI/ML for Business, PwC, 2018
• [Tutorial] Deep Learning Tutorial Workshop at the Wharton School 2017
• [Tutorial] Text Mining in Business, McKinsey Exec Ed 2017
• [Panel] AI/ML Panel Moderator, CMU Summit 2017
• [Keynote] AI/ML in business, Invited Talk, CMU undergraduate Business Technology Club, 2016