Plenary / Keynote talks

Prof. Jay H. Lee’s recent plenary and keynote presentations at technical meetings

We have 500+ conference presentations. Rather than listing them all, we’d like to showcase some of the most impactful talks given by Prof. Jay H. Lee !

  1. Lee, J.H., “ Role of Process Systems Engineering in Building Carbon Neutral Energy System,” an invited plenary talk at AdCONIP Symposium, Vancouver, BC, Canada, 2022.
  2. Lee, J.H., “Reinforcement Learning for Control and Beyond,” an invited plenary talk at the Asian Control Conference, Busan, Korea, 2022.
  3. Lee, J.H., “Role of Process Systems Engineering in Achieving Carbon Neutrality” an invited keynote talk at the KIChE Spring Meeting, Jeju, Korea, April 21, 2022.
  4. Lee, J.H., “Methods and Software Tools for the Evaluation of CO2 Utilization Technologies” an invited keynote talk at the ICCDU, Daejeon, Korea, July 18-22, 2021
  5. Lee, J.H., “Reinforcement Learning vs Model Predictive Control: Alterantive or Complementary?,” an invited keynote talk at the IFAC Workshop Series on Control Systems and Data Science Towards Industry 4.0, City University of Hong Kong, May 21, 2021.
  6. Lee, J.H., “GIS based design and evaluation of biorefinery supply chain” an invited talk at the ProBioRefine 2021, Technical University of Denmark, May 7, 2021.
  7. Lee, J.H., “Early Stage Evaluation and Analysis of Carbon-to-X technologies” an invited keynote talk at the KIChE Spring Meeting, Busan, Korea, April 22, 2021.
  8. Lee, J.H., “Reinforcement Learning for Process Control and Beyond,” an invited plenary talk at the IFAC World Congress, Berlin, Germany, July 16, 2020.
  9. Lee, J.H., “Reinforcement Learning: Model Based or Model Free?” an invited keynote talk at the “Machine Learning Meets Model Based Control” Workshop at IFAC World Congress, Berlin, Germany, July 11, 2020.
  10. Lee, J.H., “Reinforcement Learning for Process Industry,” an invited plenary talk at the 3rd ICFMCE, Bangkok, Thailand, December 17, 2019.
  11. Lee, J.H., “Model based Control and Reinforcement Learning: Alternatives or Complementary?,” an invited keynote talk at the Online Optimization – Grand Challenges and Opportunities, Trondheim, Norway, November 08, 2019.
  12. Lee, J.H., “Machine Learning Research at KAIST CBE,” an invited keynote talk at the Tsinghua-KAIST Joint Workshop on Smart and Sustainable Chemical Engineering, Beijing, PRC, Sept 27, 2019.
  13. Lee, J.H., “Potential of Machine Learning in Process Industry”, an invited keynote talk at the APCChE, Sapporo, Japan, Sept 24, 2019.
  14. Lee, J.H., “Reinforcement Learning: Recent Progress and Its Promises and Challenges for Industrial Process Control and Beyond”, an invited plenary talk at the 1st IEEE Industrial Artificial Intelligence, Shenyang, PRC, July 23, 2019.
  15. Lee, J.H., “ Reinforcement Learning: Recent Progress and Its Potential for Process Control and Beyond,” an invited talk at the FOPAM Symposium, Raleigh, NC, USA, August 8, 2019.
  16. Lee, J.H., “Recent Progress in Machine Learning and Its Potential for PSE: From Materials Design to Process Operation,” an invited talk at the FOCAPD Symposium, Copper Mountain, CO , July 15, 2019.
  17. Lee, J. H., “Development of a Computer-Aided Tool for Microalgal Process Synthesis and Evaluation”, an invited key talk at KMB Symposium, Jejudo Island, Korea, June 24, 2019
  18. Lee, J.H., “ Reinforcement Learning: Overview and Implications for Process Control and Beyond,” an invited talk at the ASPEN Technoloyg Advisory Board Meeting, Houtson, TX, USA, May 16, 2019.
  19. Lee, J.H., “Analysis of CO2 Capture and Utilization Processes for Sustainable Carbon Management,” an invited plenary talk at the 2nd International Conference on Functional Materials and Chemical Engineering (ICFMCE), Abu Dhabi, November 21, 2018.
  20. Lee, J.H., “Overview of Progress in Reinforcement Learning and Its Implications for Process Control and Beyond (Combining RL with Math Programming for Integrated Multi-Scale Decision Making) ,” an invited keynote talk at CUHK SZ-TBSI Machine Learning for Industrial Intelligence Workshop, Shenzhen, PRC, July 31, 2018.
  21. Lee, J.H. and Thomas Badgwell, “Overview of Progress in Reinforcement Learning and Its Implications for Process Control,” an invited plenary talk at the Process Systems Engineering (PSE) Symposium, San Diego, CA, USA, July 4, 2018
  22. Lee, J.H., “Overview of Progress in Machine Learning,” an invited plenary talk at EDRC/KIChE PSE Workshop, Seoul, Korea, January 17, 2018
  23. Lee, J.H., “Superstructure Based Selection and Evaluation of CO2 Capture and Conversion Pathways,” an invited talk at Gordon Research Conference on CCUS, NH, USA, June 13, 2017
  24. Lee, J. H., “Capacity planning and operation of hybrid energy network by combining math programming and dynamic programming,” a plenary lecture at ADCONIP, in Taipei, Taiwan, May 30, 2017.
  25. Lee, J. H., “Machine Learning: Recent Advances and Implications for PSE Problems,” an invited talk at FOCAPO-CPC, Tucson, AZ, January 2017
  26. Lee, J. H. and K. Rho, “Optimal CO2 reduction strategy for a refinery via CO2 capture and conversion technologies,” a keynote talk at the 250th ACS Symposium, Boston, MA, USA, August 16, 2015.
  27. Lee, J. H., “CO2 Management: An overview of research activities and Saudi Aramco-KAIST CO2 Management Center and LENSE” an invited talk at UKC, Atlanta, GA, USA, August 1, 2015.
  28. Lee, J. H., “Use of Superstructure Modeling and Stochastic Optimization in Renewable Energy Problems,” a keynote talk at Process Systems Engineering (PSE) Conference, Copenhagen, Denmark, June 1, 2015.
  29. Lee, J. H., “Energy Supply Chain Optimization: A Challenge for Control Engineers?” a plenary talk at Chinese Process Control Conference, Dalian, China, August 10, 2014.
  30. Lee, J. H., “Optimization and energy systems engineering”, an invited talk at KIChE Symposium, Changwon, Korea, April 23 – 25, 2014.
  31. Lee, J. H., “Model Predictive Control <On-line optimization based approach vs. explicit approach”, an invited talk at ICCAS Symposium, Jeju, Korea, Oct. 20, 2012.
  32. Lee, J. H., “Multi-stage formulation of energy supply chain design and optimization”, an invited talk at KIChE Symposium, Busan, Korea, Oct. 24-26, 2012.
  33. Lee, J. H., “Energy Supply Chain Optimization: A Challenge for Control Engineers?” a plenary talk at IFAC ADCHEM, Singapore, July 2012.
  34. Lee, J. H., “Stochastic approach to state estimation: Current status and open problem,” an invited talk at FIPSE-1, Western Peloponnese, Greece, Aug. 29-31, 2012.
  35. Lee, J. H., “Approximate Dynamic Programming Approach for Multi-Stage Decision Problems in Process Industries”, a keynote talk at ICROS Symposium, Seoul, Korea, Apr. 5-6, 2012.
  36. Lee, J. H. and W. C. Wong, “Improved Disturbance and Fault Signal Modeling via Hidden Markov Models,” a keynote talk at ADCONIP Symposium, Hangzhou, Zhejiang, China, 2011.
  37. Lee, J. H. and W. C. Wong, “Approximate Dynamic Programming Approach for Process Control,” a keynote talk at IFAC ADCHEM Symposium, Instanbul, Turkey, 2009.
  38. Lee, J. H., “Model-free Control of Nonlinear Systems via Approximate Dynamic Programming,” a keynote talk at International Workshop on Assessment and Future Directions of Nonlinear Model Predictive Control, Pavia, Italy, 2008.
  39. Lee, J. H. , “Approximate Dynamic Programming: Process Control, Scheduling and Beyond,” an invited keynote talk at Canadian Chemical Engineering Conference (CSChE Annual Meeting), Edmonton, Canada, October, 2007.
  40. Lee, J. H., “Iterative Learning Control,” an invited keynote talk at ADCHEM 2006, Gramado, Brazil, April, 2006.
  41. Lee*, J. H. and J. M. Lee, “Approximate Dynamic Programming Applied to Process Scheduling and Control,” an invited talk at CPC-VII, Lake Louise, Canada, January, 2006.
  42. Lee, J. H., “Approximate Dynamic Programming Framework for Process Control and Scheduling,” an invited keynote talk at PSE Asia, Seoul, Korea, 2005.
  43. Lee, J. H., “Simulation Based Dynamic Programming Framework for Process Control and Scheduling,” a keynote talk at International Conference on Control and Automation Systems (ICCAS), Kyungju, Korea, October, 2003.
  44. Lee, J. H., “Model Predictive Control for Batch Processes and Other Novel Applications,” an invited keynote talk at Aspen World 2002, Washington, D.C., 2002.
  45. Jorgensen, S. B. and J. H. Lee, “Recent Advances and Challenges in Process Identification,” an invited talk at6th International Conference on Chemical Process Control (CPC-VI), 2002.
  46. Lee, K. S. and J. H. Lee, “A Generic Framework for Integrated Quality and Profile Conrol for Industrial Batch Processes,”a keynote talk at IFAC DYCOPS-6, Jejudo Island, Korea, 2001.
  47. N. Kaisare, R. Amirthalingam, and J. H. Lee, “Inferential Kappa Number Control in A Two-Vessel Kamyr Digester,” an invited talk at Pulp Digester Modeling and Control Workshop, Annapolis, MD, 2001.
  48. W. Dorsey, J. H. Lee, V. Saucedo, R. Hodges, and G. Krishnagopalan, “Production of Low-Lignin, High-Strength, and Easily Bleachable Pulp through Sensor Development, Process Modification, Optimization and Control,” an invited talk at Pulp Digester Modeling and Control Workshop, Annapolis, MD, 2001.
  49. Lee, J. S., K. S. Lee, J. H. Lee, and S. W. Park, “An On-Line Batch Span Minimization and Quality Control Strategy,” a keynote talk at IFAC ADCHEM 2000 Conference, Pisa, Italy, June, 2000.
  50. Lee, J. H., “Nonlinear Model Predictive Control,” an invited talk at Aspenworld 2000, Orlando, FL, February, 2000.
  51. Lee, J. H. and B. Cooley, “Recent Advances in Model Predictive Control and Other Related Areas,” an invited talk at 5th International Conference on Chemical Process Control, 1996.