Presentations

Our research group regularly presents papers at major IS conferences (e.g., DS, INFORMS, CIST, ICIS, WITS, KrAIS, and HICSS) and research seminars. Presenters are bolded in the following list.

2024

  1. (scheduling) Jaecheok Park, Myunghwan Lee, J. Frank Li, Gene Moo Lee (2024) Unpacking the AI Blackbox: The Impact of AI Strategies on Firm Performance with a Dual Lens on Product and Process Orientation“, UBC Sauder MIS Seminar Series, Oct XX, 2024, Seattle, WA.
  2. (scheduled) Gene Moo Lee (2024) “KSEA Scientists and Engineers Early Career Development“, Aug 20-21, 2024, San Francisco, CA.
  3. (scheduled) Jaecheol Park, Myunghwan Lee, Gene Moo Lee (2024) “The Effect of Mobile Device Management on Work-from-home Productivity: Insights from US Public Firms”, Academy of Management Conference (AOM 2024), Aug 9-13, 2024, Chicago, Illinois
  4. (scheduled) Myunghwan Lee, Timo Sturm, Gene Moo Lee (2024) “Unlocking the Impact of Machine Learning on Organizational Learning: Evidence from US Public Firms“, KrAIS Summer Workshop, July 12-13, 2024, Seoul, Korea.
  5. (scheduled) Jaecheol Park (2024) “Ph.D. Proposal: Strategic Roles of AI and Mobile Management on Performance: Evidence from US Public Firms”, UBC Sauder School of Business, June 17, 2024, Vancouver, BC.
  6. Gene Moo Lee (2024) “AI in Business Education”, UBC Sauder Faculty Retreat, May 16, 2024, Vancouver, BC.
  7. Xiaoke Zhang, Myunghwan Lee, Mi Zhou, Gene Moo Lee (2024) “From Enthusiasm to Reality: Evaluating Generative AI’s Role in Modern Journalism“, UBC Sauder MIS Seminar Series, May 2, 2024, Vancouver, BC.
  8. [invited talk] Gene Moo Lee (2024) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok“, University of Wisconsin Milwaukee, April 26, 20224, Milwaukee, WI.
  9. Jaecheok Park, Myunghwan Lee, Gene Moo Lee (2024) “Unpacking the AI Blackbox: The Impact of AI Strategies on Firm Performance with a Dual Lens on Product and Process Orientation“, UBC Sauder MIS Seminar Series, April 19, 2024, Vancouver, BC.
  10. [invited talk] Gene Moo Lee (2024) “Generative AI and Creator Economy: Investigating the Effects of AI-Generated Voice on Online Video Creation“, Santa Clara University, April 12, 2024, Santa Clara, CA.
  11. [invited talk] Gene Moo Lee (2024) “Generative AI and Creator Economy: Investigating the Effects of AI-Generated Voice on Online Video Creation”, Temple University, April 5, 2024, Philadelphia, PA.
  12. Gene Moo Lee (2024) “AI and Business Analytics”, Master Class @ QS Discover UGO/RHL Recruiting Event, March 16, 2024, Seoul, Korea.
  13. Gene Moo Lee (2024) “AI and Business Analytics”, College of Computing and Informatics, Sungkyunkwan University (성균관대학교), March 13, 2024, Suwon, Korea.
  14. Myunghwan Lee (2024) “Three Essays on AI Strategies and Innovation”, Final Doctoral Exam, March 6, 2024, Vancouver, BC.

2023 (31 presentations)

  1. Jaecheol Park, Myunghwan Lee, Gene Moo Lee (2023) “Mobile Resilience: The Effect of Mobile Device Management on Firm Performance during the COVID-19 Pandemic”, Workshop on e-Business (WeB), Dec 9, 2023, Hyderabad, IndiaNominated for Best Paper Award.
  2. Jaecheol Park, Myunghwan Lee, Gene Moo Lee (2023) “Mobile Resilience: The Effect of Mobile Device Management on Firm Performance during the COVID-19 Pandemic”, Bright Internet Global Symposium (BIGS), Dec 8, 2023, Hyderabad, India (virtual).
  3. [invited talk] Gene Moo Lee (2023) “AI and Business Analytics”, KAIST BTM, Nov 2, 2023, Daejeon, Korea (virtual).
  4. [invited talk] Gene Moo Lee (2023) “AI and Business Analytics”, Korean Professors in BC (KPBC) Conference, Oct 27, 2023, Vancouver, BC.
  5. [invited talk] Gene Moo Lee (2023) “AI and Business Analytics”, KOSEN Bridge Forum, Oct 26, 2023, Daejeon, Korea (virtual).
  6. Myunghwan Lee, Gene Moo Lee, Victor Cui (2023) “Disrupt with AI: The Impact of Deep Learning on Exploratory Innovation”, Conference on Information Systems and Technology (CIST 2023), Oct 14-15, 2023, Pheonix, AZ.
  7. Xiaoke Zhang, Mi Zhou, Gene Moo Lee (2023) “Generative AI and Creator Economy: Investigating the Effects of AI-Generated Voice on Online Video Creation”, Conference on Information Systems and Technology (CIST 2023), Oct 14-15, 2023, Pheonix, AZ. Nominated for Best Student Paper Award.
  8. Lynn Yuan, Hao Xia, Qiang Ye (2023) “From Spacing to Scheduling: The Effect of Seller Posting Time Strategies for Short Video Advertising”, Conference on Information Systems and Technology (CIST 2023), Oct 14-15, 2023, Pheonix, AZ.
  9. Myunghwan Lee, Victor Cui, Gene Moo Lee (2023) “Disrupt with AI: The Impact of Deep Learning on Exploratory Innovation”, University of Texas at Arlington, Oct 10, 2023, Arlington, TX.
  10. Myunghwan Lee, Victor Cui, Gene Moo Lee (2023) “Disrupt with AI: The Impact of Deep Learning on Exploratory Innovation“, Chinese University of Hong Kong, Oct 4, 2023, Hong Kong.
  11. [invited talk] Gene Moo Lee (2023) “AI and Business Analytics“, Rowe School of Business, Dalhousie University, September 21-22, 2023, Halifax, Nova Scotia.
  12. [guest lecture] Gene Moo Lee (2023) “AI & Business Analytics”, UBC Sauder School of Business MBAN / MM Infomation Session, Sep 5, 2023, Vancouver, BC (virtual).
  13. [invited talk] Gene Moo Lee (2023) “AI for Business Analytics”, Korea University of Science and Technology (UST; 과학기술연합대학원대학교), August 29, 2023, Daejeon, Korea (virtual).
  14. [invited talk] Gene Moo Lee (2023) “AI for Business Analytics”, Department of Industrial and Management Engineering, POSTECH (포항공대), August 24, 2023, Pohang, Korea.
  15. [invited talk] Gene Moo Lee (2023) “AI and Business Analytics”, Seoul National University (서울대학교), August 9, 2023, Seoul, Korea.
  16. Myunghwan Lee, Gene Moo Lee, Victor Cui (2023) “Go beyond the Local Search: Understanding the Impact of AI Capabilities on Exploratory Innovation”, Academy of Management (AOM 2023), August 4-8, 2023, Boston, MA.
  17. [invited talk] Gene Moo Lee (2023) “AI and Business Analytics”, Graduate School of Information, Yonsei University (연세대학교), August 3, 2023, Seoul, Korea.
  18. Xiaoke Zhang, Mi Zhou, Gene Moo Lee (2023) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok”, KrAIS Summer Workshop, July 5-6, 2023, Seoul, Korea. Best Paper Runner-up Award.
  19. Jaecheol Park, Myunghwan Lee, Gene Moo Lee (2023) “Mobile Resilience: The Effect of Mobile Device Management on Firm Performance during the COVID-19 Pandemic”, KrAIS Summer Workshop, July 5-6 2023, Seoul, Korea.
  20. Xiaoke Zhang, Mi Zhou, Gene Moo Lee (2023) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok”, China Summer Workshop on Information Management (CSWIM 2023), June 25, 2023, Changsha, China.
  21. Xiaoke Zhang, Mi Zhou, Gene Moo Lee (2023) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok”, ISMS Marketing Science Conference, June 8-10, 2023, Miami, FL.
  22. [guest lecture] Gene Moo Lee (2023) “Developing Visual Data Analytics in Information Systems Research”, Department of Big Data Analytics, Kyung Hee University (경희대학교)May 31, 2023, Seoul, Korea (virtual).
  23. Jaecheol Park, Myunghwan Lee, Gene Moo Lee (2023) “Mobile Resilience: The Effect of Mobile Device Management on Firm Performance during the COVID-19 Pandemic”, Montreal Symposium on IS Research. May 4, 2023, Montreal, QC.
  24. [invited talk] Gene Moo Lee (2023) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok”, Department of Industrial and Management Engineering, POSTECH (포항공대), April 28, 2023, Pohang, Korea (virtual).
  25. [invited talk] Gene Moo Lee (2023) “AI and Machine Learning in Business Analytics Research”, College of Computing and Informatics, Sungkyunkwan University (성균관대학교), April 17, 2023, Seoul, Korea (virtual).
  26. Jaecheol Park, Myunghwan Lee, Gene Moo Lee (2023) “Mobile Resilience: The Effect of Mobile Device Management on Firm Performance during the COVID-19 Pandemic”, UBC Sauder MIS Seminar Series. March 31, 2023, Vancouver, BC.
  27. [invited talk] Gene Moo Lee (2023) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok”, Rowe School of Business, Dalhousie University, March 30, 2023, Halifax, Nova Scotia (virtual).
  28. Xiaoke Zhang (2023) “Master’s thesis: How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok“, UBC Sauder School of Business, March 24, 2023, Vancouver, BC.
  29. Myunghwan Lee (2023) “Ph.D. Proposal: Three Essays on AI Strategies and Innovation“, UBC Sauder School of Business, Feb 23, 2023, Vancouver, BC.
  30. [invited talk] Gene Moo Lee (2023) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok”, Graduate School of Information, Yonsei University (연세대학교), Jan 11, 2023, Seoul, Korea (virtual).
  31. Sungho Park, Gene Moo Lee, Sang-Pil Han, Wonseok Oh (2023) “Introduction to the Minitrack on Technology and Analytics in Emerging Markets (TAEM)“, Hawaii International Conference on System Sciences (HICSS 2023), Jan 3-6, 2023, Maui, HI.

2022 (25 presentations)

  1. Xiaoke Zhang, Mi Zhou, Gene Moo Lee (2022) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok”, Workshop on Information Technologies and Systems (WITS 2022), Dec 14-16, 2022, Copenhagen, Denmark.
  2. Soonjae Kwon, Sunghyuk Park, Gene Moo Lee, Dongwon Lee (2022) “Learning Faces to Predict Matching Probability in an Online Dating Market”, International Conference on Information Systems (ICIS 2022), Dec 9-14, 2022, Copenhagen, Denmark.
  3. Myunghwan Lee, Gene Moo Lee, Donghyuk Shin, Sang-Pil Han (2022) “Robots Serve Humans? Understanding the Economic and Societal Impacts of AI Robots in the Service Industry”, Bright Internet Global Summit (BIGS 2022), Dec 7, 2022 (virtual).
  4. Jaecheol Park, Arslan Aziz, Gene Moo Lee (2022) “Do Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com”, Bright Internet Global Summit (BIGS 2022), Dec 7, 2022 (virtual).
  5. [invited talk] Gene Moo Lee (2022) “Business Analytics: What It Is and How to Prepare”, Event sponsored by the Consulate General of Korea in Vancouver (주 밴쿠버 대한민국 총영사관), Nov 29, 2022, Vancouver, BC.
  6. Xiaoke Zhang, Mi Zhou, Gene Moo Lee (2022) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok”, UBC Sauder MIS Seminar Series, Nov 4, 2022, Vancouver, BC.
  7. [invited talk] Gene Moo Lee (2022) “Developing Visual Data Analytics in Information Systems Research”, Desautels Faculty of Management, McGill University, Oct 21, 2022, Montreal, Quebec.
  8. Myunghwan Lee, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2022) “Strategic Competitive Positioning: An Unsupervised Structural Hole-based Firm-specific Measure”, INFORMS Annual Meeting, Oct 16-19, 2022, Indianapolis, IN.
  9. Jaecheol Park, Arslan Aziz, Gene Moo Lee (2022) “Do Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com”, Conference on Information Systems and Technologies (CIST 2022), Oct 15-16, 2022, Indianapolis, IN.
  10. Myunghwan Lee, Gene Moo Lee (2022) “Ideas are Easy but Execution is Everything: Measuring the Impact of Stated AI Strategies and Capability on Firm Innovation Performance”, INFORMS Workshop on Data Science (DS 2022), Oct 15, 2022, Indianapolis, IN.
  11. Xiaoke Zhang, Mi Zhou, Gene Moo Lee (2022) “How Does AI-Generated Voice Affect Online Content Creation? Evidence from TikTok”, INFORMS Workshop on Data Science (DS 2022), Oct 15, 2022, Indianapolis, IN.
  12. Myunghwan Lee, Gene Moo Lee, Donghyuk Shin, Sang-Pil Han (2022) “Robots Serve Humans? Understanding the Economic and Societal Impacts of AI Robots in the Service Industry”, INFORMS Workshop on Data Science (DS 2022), Oct 15, 2022, Indianapolis, IN.
  13. Jaecheol Park, Arslan Aziz, Gene Moo Lee (2022) “Do Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com”, BU Platform Strategy Research Symposium, July 19, 2022, Boston, MA.
  14. Jaecheol Park, Arslan Aziz, Gene Moo Lee (2022) “Do Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com”, Pacific Asia Conference on Information Systems (PACIS 2022), July 5-9, 2022 (virtual).
  15. Jaecheol Park, Arslan Aziz, Gene Moo Lee (2022) “Do Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com”, Statistical Challenges in Electronic Commerce Research (SCECR 2022), June 2022, Madrid, Spain.
  16. [invited talk] Myunghwan Lee, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2022) Strategic Competitive Positioning: An Unsupervised Structural Hole-based Firm-specific Measure, Korea University Business School (고려대학교), June 2022, Seoul, Korea.
  17. [invited talk] Myunghwan Lee, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2022) Strategic Competitive Positioning: An Unsupervised Structural Hole-based Firm-specific Measure, KAIST College of Business, June 2022, Seoul, Korea.
  18. [guest lecture] Gene Moo Lee (2022) Developing Visual Data Analytics in Information Systems Research, Department of Big Data Analytics, Kyung Hee University (경희대학교), Seoul, Korea, June 7, 2022 (virtual).
  19. [invited talk] Gene Moo Lee (2022) Artificial Intelligence and Business Analytics, Vancouver Korean Developer & Designer (KDD) Conference, May 21, 2022, Vancouver, BC.
  20. [invited talk] Gene Moo Lee (2022) Developing Visual Data Analytics in Information Systems Research, School of Business, Hanyang University (한양대학교), May 20, 2022, Seoul, Korea (virtual).
  21. Myunghwan Lee, Gene Moo Lee (2022) AI Capability or AI Washing? Measuring the Impact of Stated AI Strategies and AI Executions on Firm Innovation and Market Performance, UBC Sauder MIS Seminar Series, April 1, 2022, Vancouver, BC.
  22. [invited talk] Gene Moo Lee (2022) Developing Visual Data Analytics in Information Systems Research, KAIST College of Business, March 31, 2022, Seoul, Korea. [First in-person talk after the pandemic]
  23. [invited talk] Gene Moo Lee (2022) Developing Visual Data Analytics in Information Systems Research, School of Business, George Mason University, March 4, 2022, Fairfax, VA (virtual).
  24. [invited talk] Gene Moo Lee (2022) Developing Visual Data Analytics in Information Systems Research, Eller School of Management, University of Arizona, Feb 25, 2022, Phoenix, AZ (virtual).
  25. Gene Moo Lee, Sang-Pil Han, Sungho Park, Wonseok Oh (2022) “Introduction to the Minitrack on Technology and Analytics in Emerging Markets (TAEM)”, Hawaii International Conference on System Sciences (HICSS 2022), Jan 4-7, 2022, (virtual).

2021 (27 presentations)

  1. [invited talk] Gene Moo Lee (2021) Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach, Graduate School of Information, Yonsei University (연세대학교), Dec 20, 2021, Seoul, Korea (virtual).
  2. Soonjae Kwon, Sunghyuk Park, Gene Moo Lee, Dongwon Lee (2021) “Learning Faces to Predict Matching Probability in an Online Dating Market”, Workshop on Information Technologies and Systems (WITS 2021), Dec 15-17, 2021, Austin, Texas.
  3. Jaecheol Park, Arslan Aziz, Gene Moo Lee (2021) “Do Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com”, Workshop on Information Systems and Economics (WISE 2021), Dec 16-17, 2021, Austin, Texas.
  4. Soonjae Kwon, Sunghyuk Park, Gene Moo Lee, Dongwon Lee (2021) “Learning Faces to Predict Matching Probability in an Online Dating Market”, KrAIS Research Workshop (KrAIS 2021), Dec 15, 2021, Austin, Texas.
  5. Jaecheol Park, Arslan Aziz, Gene Moo Lee (2021) “Do Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com”, KrAIS Research Workshop (KrAIS 2021), Dec 15, 2021, Austin, Texas.
  6. Myunghwan Lee, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2021) “Structural Hole-based Measures of Firm-level Competition and Strategic Positioning,” KrAIS Research Workshop  (KrAIS 2021), Dec 15, 2021, Austin, Texas.
  7. Soonjae Kwon, Sunghyuk Park, Gene Moo Lee, Dongwon Lee (2021) “Learning Faces to Predict Matching Probability in an Online Dating Market”, 2021 Conference on Artificial Intelligence, Machine Learning, and Business Analytics, Dec 2-3, 2021 (virtual).
  8. [invited talk] Gene Moo Lee (2021) Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach, KAIST College of Business, Nov 18, 2021, Seoul, Korea (virtual).
  9. [invited talk] Gene Moo Lee (2021) Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach, Simon Business School, University of Rochester, Nov 5, 2021, Rochester, NY (virtual).
  10. Soonjae Kwon, Sunghyuk Park, Gene Moo Lee, Dongwon Lee (2021) “Learning Faces to Predict Matching Probability in an Online Dating Market”, INFORMS Workshop on Data Science (DS 2021), Nov 13, 2021, online.
  11. Rui Cao, Gene Moo Lee, Hasan Cavusoglu (2021) “Corporate Social Network Analysis: A Deep Learning Approach,” INFORMS Workshop on Data Science (DS 2021), Nov 13, 2021, online.
  12. Myunghwan Lee, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2021) “Structural Hole-based Measures of Firm-level Competition and Strategic Positioning,”  INFORMS Workshop on Data Science (DS 2021), Nov 13, 2021 (virtual).
  13. Jaecheol Park, Arslan Aziz, Gene Moo Lee (2021) “Do Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com”, UBC Sauder MIS Seminar Series, October 2021 (virtual).
  14. [invited talk] Gene Moo Lee (2021) Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach, Rollins College of Business, University of Tennessee Chattanooga, Oct 27, 2021, Chattanooga, TN (virtual).
  15. [invited talk] Gene Moo Lee (2021) Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning ApproachDepartment of Information Systems and Analytics, National University of Singapore, Aug 27, 2021, Singapore (virtual),.
  16. [Guest Lecture] Gene Moo Lee (2021) Enhancing Social Media Analysis with Visual Analytics: A Deep Learning Approach, College of Software, Chung-Ang University, Aug 12, 2021, Seoul, Korea (virtual),.
  17. [Guest Lecture] Gene Moo Lee (2021) Enhancing Social Media Analysis with Visual Analytics: A Deep Learning Approach, BDA 732 Big Data, Department of Big Data Analytics, Kyung Hee University (경희대학교), June 9, 2021, Seoul, Korea (virtual),.
  18. Gene Moo Lee (2021) Panel Discussion: How will AI and Big Data impact IS Research? (with Izak Benbasat, Carson Woo, Hasan Cavusoglu), UBC Sauder MIS Seminar Series, June 1, 2021, Vancouver, BC (virtual).
  19. [invited talk] Gene Moo Lee (2021) Targeting Pre-Roll Ads using Video Analytics, Kogod School of Business, American University, April 23, 2021, Washington, DC (virtual),.
  20. [guest lecture] Gene Moo Lee (2021) Matching Mobile Applications for Cross-Promotion, BUS 617: Internet Technologies and Mobile Business, Korea University Business School (고려대학교), April 13, 2021, Seoul, Korea (virtual),.
  21. [invited talk] Gene Moo Lee (2021) Targeting Pre-Roll Ads using Video Analytics, Smith School of Business, University of Maryland, April 2, 2021, College Park, MD (virtual),.
  22. [invited talk] Gene Moo Lee (2021) Enhancing Social Media Analysis with Visual Analytics: A Deep Learning Approach, Saarland University, March 2, 2021, Saarbrücken, Germany (virtual).
  23. [invited talk] Gene Moo Lee (2021) Targeting Pre-Roll Ads using Video Analytics, HKUST Business School, Hong Kong University of Science and Technology, Feb 16, 2021, Hong Kong (virtual),.
  24. Myunghwan Lee, Gene Moo Lee, Donghyuk Shin, Sang-Pil Han (2021) “Robots Serve Humans: Does AI Robot Adoption Enhance Operational Efficiency and Customer Experience?”, UBC Sauder MIS Seminar Series, Feb 12, 2021, Vancouver, BC (virtual).
  25. Gene Moo Lee (2021) Panel Discussion: Introduction to Sauder MIS Ph.D./M.Sc. Programs (Moderator), UBC Sauder MIS Seminar Series, Jan 22, 2021, Vancouver, BC (virtual).
  26. Matthias Schulte-Althoff, Daniel Fuerstenau, Gene Moo Lee (2021) “A Scaling Perspective in AI Startups”, Hawaii International Conference on System Sciences (HICSS 2021), Jan 5-8, 2021, (virtual).
  27. Gene Moo Lee, Sang-Pil Han, Sungho Park, Wonseok Oh (2021) “Introduction to the Minitrack on Technology and Analytics in Emerging Markets (TAEM)“, In Hawaii International Conference on System Sciences (HICSS 2021), Jan 5-8, 2021, (virtual).

2020 (16 presentations)

  1. Myunghwan Lee, Gene Moo Lee, Donghyuk Shin, Sang-Pil Han (2020) “Robots Serve Humans: Does AI Robot Adoption Enhance Operational Efficiency and Customer Experience?” KrAIS Research Workshop (KrAIS 2020), Dec 2020 (virtual).
  2. Rui Cao, Gene Moo Lee, Hasan Cavusoglu (2020) “Corporate Social Network Analysis: A Deep Learning Approach,” Workshop on Information Technologies and Systems (WITS 2020), Dec 2020, online.
  3. Sungho Park, Gene Moo Lee, Donghyuk Shin, Sang-Pil Han (2020) “Targeting Pre-Roll Ads using Video Analytics,” Workshop on Information Technologies and Systems (WITS 2020), Dec 2020, online.
  4. Myunghwan Lee, Gene Moo Lee, Donghyuk Shin, Sang-Pil Han (2020) “Robots Serve Humans: Does AI Robot Adoption Enhance Operational Efficiency and Customer Experience?” Workshop on Information Technologies and Systems (WITS 2020), Dec 2020, online.
  5. [Guest Lecture] Gene Moo Lee (2020) Artificial Intelligence and Business Analytics, AKCSE Young Generation Forum, Vancouver, BC (virtual), November 7, 2020.
  6. [Guest Lecture] Gene Moo Lee (2020) Artificial Intelligence for Business Analytics, UBC Sauder School of Business MM/MBAN Sample Class, Vancouver, BC (virtual), October 14, 2020.
  7. [invited talk] Gene Moo Lee (2020) Targeting Pre-Roll Ads using Video Analytics, University of Washington, Seattle, WA (virtual), October 9, 2020.
  8. Gene Moo Lee (2020) Designing and Delivering Effective Online Exams, Teaching Online Series, UBC Sauder School of Business, Vancouver, BC (virtual), August 27, 2020.
  9. [invited talk] Gene Moo Lee (2020) Enhancing Social Media Analysis with Visual Analytics: A Deep Learning Approach, Rutgers Business School (virtual), June 13, 2020. [First virtual talk during the pandemic]
  10. Sungho Park, Gene Moo Lee, Donghyuk Shin, Sang-Pil Han (2020) “Gone in 5 Seconds: Targeting Skippable Pre-Roll Ads to Relevant Videos and Audience using Video Analytics with Deep Learning,” In Winter Conference on Business Analytics (WCBA 2020), Snowbird, Utah. (canceled due to COVID-19)
  11. [Guest Lecture] Gene Moo Lee (2020) Big Data Analytics and Machine Learning in Business Research, UBC Sauder Commerce Scholars Program Research Seminar, Vancouver, BC, March 3, 2020.
  12. Rui Cao, Gene Moo Lee, Hasan Cavusoglu (2020) “Corporate Social Network Analysis: A Deep Learning Approach”, UBC Sauder MIS Seminar Series, February 2020, Vancouver, BC (Virtual).
  13. Gene Moo Lee (2020) Big Data Analytics and Machine Learning in Business Research, Korea Research Institute of Human Settlements (국토연구원)Vancouver, BC, February 27, 2020.
  14. Matthias Schulte-Althoff, Kai Schewina, Gene Moo Lee, Daniel Furstenau (2020) “On the Heterogeneity of Digital Infrastructure in Entrepreneurial Ecosystems,” In Proceedings of Hawaii International Conference on System Sciences (HICSS 2020), Jan 2020, Maui, Hawaii.
  15. Victor Song, Hasan Cavusoglu, Gene Moo Lee, Li Zhi Ma (2020) “IT Risk Factor Disclosure and Stock Price Crashes,” In Proceedings of Hawaii International Conference on System Sciences (HICSS 2020), Jan 2020, Maui, Hawaii.
  16. Yunhui Zhuang, Yunsik Choi, Shu He, Alvin C. M. Leung, Gene Moo Lee, Andrew B. Whinston (2020) “Information Disclosure and Security Vulnerability Awareness: A Large-Scale Randomized Field Experiment in Pan-Asia,” In Proceedings of Hawaii International Conference on System Sciences (HICSS 2020), Jan 2020, Maui, Hawaii.

2019 (5 presentations)

  1. Myunghwan Lee, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2019) “Opportunity Structures: Tensions in Strategic Posture Identification and Positioning of IPOs,” In INFORMS Conference on Information Systems and Technology (CIST 2019), Nov 2019, Seattle, Washington.
  2. Sam Hwang, Gene Moo Lee, Myunghwan Lee, Raymond Situ (2019) “How Does Heterogeneity in Beliefs Affect Students in the Intergenerational Game?” KER International Conference, August 2019, Seoul, Korea.
  3. [invited talk] Gene Moo Lee (2019) Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach, Beedie School of Business, Simon Fraser University, Burnaby, BC, March 1, 2019.
  4. Victor Song, Hasan Cavusoglu, Gene Moo Lee, Mary Li Zhi Ma (2019) “IT Risk Factor Disclosure and Stock Price Crash Risk”, UBC Sauder MIS Seminar Series, February 2019, Vancouver, British Columbia.
  5. [invited talk] Gene Moo Lee (2019) Opportunity Structures: A Machine Learning Approach for Analyzing Industry Dynamics, CAIDA Application Seminar, UBC, Vancouver, BC, January 21, 2019. [SlideShare]

2018 (11 presentations)

  1. Yunsik Choi (2018) “CybeRatings: An origin responsibility measurement framework using spam and phishing data”, Bright Internet Global Summit (BIGS 2018), December 2018, San Francisco, California.
  2. Myunghwan Lee, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2018) “Opportunity Structure: Tensions in Strategic Posture Identification and Positioning of IPOs”, UBC Sauder MIS Seminar Series, November 2018, Vancouver, British Columbia.
  3. [Guest Lecture] Gene Moo Lee (2018) Guest Lecture at COMM 590B Topics in Business Administration (Ph.D. Teaching Course, Instructor: Ronald T. Cenfetelli), UBC Sauder School of Business, Vancouver, BC, November 22, 2018.
  4. [Guest Lecture] Gene Moo Lee (2018) Guest Lecture at COMM 693 (Ph.D. Seminar in Research Methodology, Instructor: Keith Head), UBC Sauder School of Business, Vancouver, BC, October 24, 2018.
  5. [invited talk] Gene Moo Lee (2018) Developing Cyber Risk Assessment Framework for Cyber Insurance: A Big Data Approach, Final Project Presentation for Korea Insurance Research Institute (KIRI, 보험연구원)Seoul, Korea, July 23, 2018.
  6. [Guest Lecture] Gene Moo Lee (2018) On the Spillover Effects of Online Product Reviews on Purchases: Evidence from Clickstream Data, Korea University Business School MIS Seminar, Seoul, Korea, June 15, 2018.
  7. Victor Song, Hasan Cavusoglu, Gene Moo Lee, Mary Li Zhi Ma (2018) “IT Risk Factor Disclosure and Stock Price Crash Risk”, UBC Cybersecurity Summit, May 2018, Vancouver, British Columbia.
  8. [Guest Lecture] Gene Moo Lee (2018) Enhancing Social Media Analysis with Visual Analytics: A Deep Learning Approach, Ph.D. Seminar, W. P. Carey School of Business, Arizona State University, Tempe, AZ, April 27, 2018.
  9. Gene Moo Lee (2018) Developing A Big Data Analytics Framework for U.S. Industry Intelligence, Accounting & Information Systems Seminar, Rutgers Business School, Newark, NJ, April 20, 2018.
  10. [Guest Lecture] Gene Moo Lee (2018) Does Deceptive Marketing Pay? The Evolution of Consumer Sentiment Surrounding a Pseudo-Product-Harm Crisis, LIBR 559D Social Media Intelligence Course (Instructor: Muhammad Abdul-Mageed),  iSchool@UBCVancouver, BC, March 26, 2018.
  11. Gene Moo Lee (2018) SEC Filings Analytics for U.S. Industry Intelligence, UBC Master of Data Science Capstone Project Introduction, Vancouver, BC, February 7, 2018.

2017 (16 presentations)

  1. Yunsik Choi, Jinhyuk Choi, Gene Moo Lee, Andrew B. Whinston (2017) “Bringing Managed Security Services to Internet Service Providers: A Game-Theoretic Analysis,” In KrAIS Research Workshop (KrAIS 2017), Dec 2017, Seoul, KoreaBest Paper Award.
  2. Yunsik Choi, Shu He, Gene Moo Lee, Alvin C. M. Leung, Andrew B. Whinston, Yunhui Zhuang (2017) “A Pan-Asian Field Experiment of Organizational Awareness to Information Security and Preparedness against Cybercrime,” In Workshop on Information Technologies and Systems (WITS 2017), Dec 2017, Seoul, KoreaBest Work-in-Progress Runner-Up Award.
  3. Yunsik Choi, Jin Hyuk Choi, Gene Moo Lee, Andrew Whinston (2017) Internet Service Providers as Cyber-Defenders: A Dynamic Game-Theoretic Model, Workshop on Information Technologies and Systems (WITS 2017), December 2017, Seoul, Korea.
  4. Gene Moo Lee, Yash Nigam, Drishti Kapoor, Jinny Seo J (2017) “SEC Filings Text Analytics for U.S. Industry Intelligence: A Preliminary Report,” In Workshop on Information Technologies and Systems (WITS 2017), Dec 2017, Seoul, Korea.
  5. [invited talk] Gene Moo Lee (2017) Big Data Analytics Framework for U.S. Industry Intelligence, Korea Institute of Science and Technology Information (KISTI, 한국과학기술정보연구원)Seoul, Korea, December 11, 2017.
  6. [invited talk] Gene Moo Lee (2017) Advanced Business Analytics with Machine Learning, WJ Packaging Solutions, Richmond, BC, December 4, 2017.
  7. [invited talk] Gene Moo Lee (2017) Introduction to Sauder BUCS/BTM Programs, UBC Korean Commerce Student Association, Vancouver, BC, November 24, 2017.
  8. Gene Moo Lee (2017) Advanced Business Analytics with Machine Learning, Korea Research Institute of Human Settlements (국토연구원)Vancouver, BC, November 23, 2017.
  9. [invited talk] Gene Moo Lee (2017) Advancing Business Analytics with AI and Machine Learning, AI@UBCVancouver, BC, October 11, 2017.
  10. Yunsik Choi, Jinhyuk Choi, Gene Moo Lee, Andrew B. Whinston (2017) “Bringing Cybersecurity and Managed Security Services to ISPs: A Game-Theoretic Analysis,” In INFORMS Conference on Information Systems and Technology (CIST 2017), Oct 2017, Houston, Texas.
  11. [invited talk] Gene Moo Lee (2017) Advanced Business Analytics with Machine Learning, Consulate General of the Republic of Korea (주 밴쿠버 대한민국 총영사관), Vancouver, BC, September 25, 2017.
  12. Gene Moo Lee (2017) Big Data Analytics: Challenges and Opportunities, Panel Discussion on Exploring Regulation Schemes in the 4th Industrial Revolution, Seoul National University Law School ConferenceVancouver, BC, September 8, 2017.
  13. Gene Moo Lee (2017) Developing Big Data Analytics Framework for U.S. Industry Intelligence, US-Korea Conference (UKC 2017)KISTI International Collaboration Projects, Washington, DC, August 10, 2017. [Press Release] [First talk since joining UBC]
  14. [invited talk] Gene Moo Lee (2017) Towards Advanced Business Analytics with Text Mining and Deep LearningFocus on Faculty, University of Texas at Arlington, Arlington, Texas, April 26, 2017. [Video]
  15. [invited talk] Gene Moo Lee (2017) Towards Advanced Business Analytics with Text Mining and Deep Learning, University of North Texas, Denton, Texas, March 24, 2017.
  16. Young Kwark, Gene Moo Lee, Paul A. Pavlou, Liangfei Qiu (2016) “The Spillover Effects of User-Generated Online Product Reviews on Purchases: Evidence from Clickstream Data,” In Proceedings of International Conference on Information Systems (ICIS 2016), Dec 2016, Dublin, Ireland.

2016 (21 presentations)

  1. Gene Moo Lee (2016) Content Complexity, Similarity, and Consistency in Social Media: A Deep Learning ApproachDSI Annual Meeting, Austin, Texas, November 20, 2016.
  2. Donghyuk Shin, Shu He, Gene Moo Lee, Andrew B. Whinston (2016) “Analyzing Content and Customer Engagement in Social Media with Deep Learning,” In INFORMS Conference on Information Systems and Technology (CIST 2016), Nov 2016, Nashville, Tennessee.
  3. Gene Moo Lee (2016) Content Complexity, Similarity, and Consistency in Social Media: A Deep Learning Approach, INFORMS Annual Conference, Nashville, Tennessee, November 12, 2016.
  4. [invited talk] Gene Moo Lee (2016) Towards a Better Measure of Business Proximity: Topic Modeling for Industry Intelligence, KOCSEA Technical Symposium, Vienna, VA, November 4, 2016.
  5. Gene Moo Lee (2016) Towards Advanced Business Analytics with Text Mining and Deep LearningUniversity of British Columbia, Vancouver, Canada, October 28, 2016.
  6. [invited talk] Gene Moo Lee (2016) Towards Advanced Business Analytics with Text Mining and Deep Learning, KSEA North Texas Chapter SeminarDallas, Texas, October 15, 2016.
  7. Gene Moo Lee (2016) Content Complexity, Similarity, and Consistency in Social Media: A Deep Learning Approach, US-Korea Conference (UKC 2016), Dallas, Texas, August 11, 2016.
  8. [invited talk] Gene Moo Lee (2016) Towards Advanced Business Analytics with Text Mining and Deep Learning, MIS Seminar, Kyungpook National University (경북대학교), Daegu, Korea, July 19, 2016.
  9. [invited talk] Gene Moo Lee (2016) Cybersecurity Policy Design and Evaluation, Barun ICT Research Center, Yonsei University (연세대학교), Seoul, Korea, June 28, 2016.
  10. [invited talk] Gene Moo Lee (2016) Analyzing the Spillover Roles of User-Generated Reviews on Purchases: Evidence from Clickstream DataKorea MIS Conference, Busan, Korea, June 24, 2016.
  11. [invited talk] Gene Moo Lee (2016) Towards Advanced Business Analytics with Text Mining and Deep Learning, MIS Research Seminar, Seoul National University (서울대학교), Seoul, Korea, June 23, 2016.
  12. [invited talk] Gene Moo Lee (2016) Towards Advanced Business Analytics with Text Mining and Deep Learning, MIS Research Seminar, School of Business, Yonsei University (연세대학교), Seoul, Korea, June 16, 2016.
  13. [invited talk] Gene Moo Lee (2016) Towards Advanced Business Analytics with Text Mining and Deep Learning, School of Computer Science and Engineering, Chung-Ang University (중앙대학교), Seoul, Korea, June 15, 2016.
  14. [invited talk] Gene Moo Lee (2016) Towards Advanced Business Analytics with Text Mining and Deep Learning, School of Management, Kyung Hee University (경희대학교), Seoul, Korea, June 7, 2016.
  15. [invited talk] Gene Moo Lee (2016) Towards Advanced Business Analytics with Text Mining and Deep Learning, Hanyang University Business School (한양대학교), Seoul, Korea, June 2, 2016.
  16. [invited talk] Gene Moo Lee (2016) Towards Advanced Business Analytics with Text Mining and Deep Learning, Korea University Business School (고려대학교), Seoul, Korea, May 31, 2016.
  17. [invited talk] Gene Moo Lee (2016) Towards Advanced Business Analytics with Text Mining and Deep Learning, Business School, Sungkyunkwan University (성균관대학교), Seoul, Korea, May 30, 2016.
  18. [invited talk] Gene Moo Lee (2016) Content Complexity in Social Media: A Deep Learning Approach, Texas FreshAIR Big Data & Data Analytics Conference, San Antonio, Texas, March 30, 2016. 
  19. [invited talk] Gene Moo Lee (2016) Content Complexity in Social Media: A Deep Learning Approach, Research Incubator Seminar Series, College of Business, University of Texas at Arlington, February 17, 2016.
  20. Gene Moo Lee (2016) Analyzing the Spillover Roles of User-Generated Reviews on Purchases: Evidence from Clickstream DataWinter Conference on Business Intelligence, Snowbird, Utah, March 5, 2016.
  21. Gene Moo Lee, Liangfei Qiu, Andrew B. Whinston (2016) “Strategic Network Formation in a Location-Based Social Network: A Topic Modeling Approach,” In Hawaii International Conference on System Sciences (HICSS 2016), Jan 2016, Kauai, HawaiiNominated for Best Paper Award.

2015 (12 presentations)

  1. Donghyuk Shin, Shu He, Gene Moo Lee, Andrew B. Whinston (2015) “Sharing Behavior in Online Social Media: An Empirical Analysis with Deep Learning,” In Proceedings of Workshop on E-Business (WEB 2015), Dec 2015, Fort Worth, Texas.
  2. Gene Moo Lee (2015) Towards A Better Measure of Business Proximity: Topic Modeling for Industry Intelligence, MISQ Workshop, KU Leuven, Belgium, August 13, 2015. [First talk since joining UT Arlington]
  3. Shu He, Gene Moo Lee, John S. Quarterman, Andrew B. Whinston (2015) “Cybersecurity Policies Design and Evaluation: Evidence from a Large-Scale Randomized Field Experiment,” In Workshop on Economics of Information Security (WEIS 2015), June 2015, Delft, The Netherlands.
  4. S. Miskovic, Gene Moo Lee, Yong Liao, Mario Baldi (2015) “AppPrint: Automatic Fingerprinting of Mobile Applications in Network Traffic”, In Proceedings of Passive and Active Measurement Conference (PAM 2015), March 2015, New York, New York. [Details]
  5. [invited talk] Gene Moo Lee (2015) Designing Cybersecurity Policies with Field Experiments, KAIST Business School, Seoul, Korea, February 25, 2015 (virtual).
  6. [invited talk] Gene Moo Lee (2015) Matching Mobile Applications for Cross Promotion, College of Business, The University of Texas at Arlington, Arlington, Texas, February 5, 2015.
  7. [invited talk] Gene Moo Lee (2015) Matching Mobile Applications for Cross Promotion, Carlson School of Management, University of Minnesota, Minneapolis, Minnesota, February 2, 2015.
  8. [invited talk] Gene Moo Lee (2015) Matching Mobile Applications for Cross Promotion, Naveen Jindal School of Management, University of Texas at Dallas, Richardson, Texas, January 30, 2015.
  9. [invited talk] Gene Moo Lee (2015) Matching Mobile Applications for Cross Promotion, Kelley School of Business, Indiana University, Bloomington, Indiana, January 27, 2015.
  10. [invited talk] Gene Moo Lee (2015) Matching Mobile Applications for Cross Promotion, Paul Merage School of Business, University of California Irvine, California, January 23, 2015.
  11. [invited talk] Gene Moo Lee (2015) Matching Mobile Applications for Cross Promotion, Fox School of Business, Temple University, Philadelphia, Pennsylvania, January 21, 2015.
  12. [invited talk] Gene Moo Lee (2015) Matching Mobile Applications for Cross Promotion, Mendoza College of Business, University of Notre Dame, South Bend, Indiana, January 16, 2015.

2014 (6 presentations)

  1. Gene Moo Lee, Liangfei Qiu, Andrew B. Whinston (2014) “Strategic Network Formation in a Location-Based Social Network: A Topic Modeling Approach,” In Workshop on Information Systems and Economics (WISE 2014), Dec 2014, Auckland. New Zealand.
  2. Gene Moo Lee, Liangfei Qiu, Andrew B. Whinston (2014) “Strategic Network Formation in a Location-Based Social Network: A Topic Modeling Approach,” In Workshop on Information Technologies and Systems (WITS 2014), Dec 2014, Auckland. New Zealand.
  3. Gene Moo Lee, Joowon Lee, Andrew B. Whinston (2014) “Matching Mobile Applications for Cross Promotion,” In Proceedings of Workshop on E-Business (WEB 2014), Dec 2014, Auckland. New Zealand.
  4. Shu He, Gene Moo Lee, Andrew B. Whinston (2014) “Estimating the Treatment Effect of Spam Information Disclosure on Organizations: A Field Experiment,” In INFORMS Conference on Information Systems and Technology (CIST 2014), Nov 2014, San Francisco, California.
  5. Gene Moo Lee (2014) Matching Mobile Applications for Cross PromotionConference on Big Data Marketing Analytics, Chicago, Illinois, October 31, 2014.
  6. Zhan Shi, Gene Moo Lee, Andrew B. Whinston (2014) “Towards a Better Measure of Business Proximity: Topic Modeling for Analyzing M&As”, In Proceedings of ACM Conference on Economics and Computation (ACM EC 2014), June 2014, Stanford, California. [First conference paper after switching to IS field]

2013 (6 presentations)

  1. [invited talk] Gene Moo Lee (2013) Mobile Apps, Ventures, and Two-Sided Markets, DMC R&D Center, Samsung Electronics, Suwon, Korea, October 28, 2013.
  2. [invited talk] Gene Moo Lee (2013) Mobile Apps, Ventures, and Two-Sided Markets, MC R&D Center, LG Electronics, Seoul, Korea, October 27, 2013.
  3. Gene Moo Lee, Swati Rallapalli, Wei Dong, Yi-Chao Chen, Lili Qiu, Yin Zhang (2013) “Mobile Video Delivery via Human Movement”, In Proceedings of the IEEE Conference on Sensor, Mesh, and Ad Hoc Communications and Networks (IEEE SECON 2013), June 2013, New Orleans, Louisiana. [Details]
  4. Yi-Chao Chen, Gene Moo Lee, Nick Duffield, Lili Qiu, Jia Wang (2013) “Event Detection using Customer Care Calls”, In Proceedings of the IEEE International Conference on Computer Communications (IEEE INFOCOM 2013), Apr 2013, Turin, Italy. [Details]
  5. Swati Rallapalli, Wei Dong, Gene Moo Lee, Yi-Chao Chen, Lili Qiu (2013) “Analysis and Applications of Smartphone User Mobility”, In Proceedings of the International Workshop on Network Science for Communication Networks (NetSciCom 2013), Apr 2013, Turin, Italy. [Details]
  6. John S. Quarterman, Leigh Linden, Qian Tang, Gene Moo Lee, Andrew B. Whinston (2013) “Spam and Botnet Reputation Randomized Control Trials and Policy”, In Research Conference on Communications, Information, and Internet Policy (TPRC 2013), Oct 2013, Arlington, Virginia.

Pre-2012

  1. Gene Moo Lee (2012) “Modeling Human Mobility using Location-Based Social Networks”, In US-Korea Conference on Science, Technology, & Entrepreneurship (UKC 2012), Aug 2012, Los Angeles, California. [slides] [First talk after starting Ph.D. program]
  2. Gene Moo Lee, Taehwan Choi (2008) “Improving the Interaction between Overlay Routing and Traffic Engineering”, In Proceedings of IFIP Networking Conference (Networking 2008), May 2008, Singapore. [Details]
  3. Gene Moo Lee, Huiya Liu, Young Yoon, Yin Zhang (2005) “Improving Sketch Reconstruction Accuracy Using Linear Least Square Method”, In Proceedings of Internet Measurement Conference (ACM IMC 2005), Oct 2005, Berkeley, California. [Details] [First talk during the Master’s program]
  4. Gene Moo Lee (2003) Introduction to NP-Completeness, Department of Computer Science, Korea University (고려대학교), Seoul, Korea, November 28, 2003.