Primary AffiliationOrganizational Intelligence and Computational Social Science
Dr. Harrison Kim is an award-winning educator, researcher, and designer in engineering design, analytics, and systems optimization. He is an Associate Professor in the Department of Industrial and Enterprise Systems Engineering and a Willett Scholar at the University of Illinois at Urbana-Champaign (UIUC) and the director of the Enterprise Systems Optimization Laboratory. He is also affiliated with the Computational Science and Engineering Program and the Beckman Institute at the University of Illinois.
Harrison Kim earned his Ph.D. degree at the University of Michigan in 2001 in the area of Engineering System Design and Optimization in Mechanical Engineering under the supervision of Prof. Panos Papalambros. He joined the University of Illinois in 2005 after postdoctoral training under Prof. Wei Chen at Northwestern University and has been leading the Enterprise Systems Optimization Lab. Prior to joining Illinois, he held positions in research and consulting -- the US Army Automotive Research Center, Northwestern University, and a Business-IT consulting company.
Dr. Kim’s research focuses on a variety of areas of complex systems design and large-scale optimization utilizing mathematical programming, simulation, knowledge discovery and analytics.
Harrison Kim’s current research is concerned with (1) engineering system design and optimization, (2) design analytics for product portfolio design, and (3) multilevel multidisciplinary optimization for energy systems engineering. His research approach is based on mathematical programming and optimization including his original contribution to the analytical target cascading (http://www.targetcascading.com). He publishes actively in research societies?ASME, AIAA, Design Society. In addition to NSF grants, Kim is currently leading Design for Environment and Sustainability project with Deere and Co.
- Kwak, M.; Kim, H. M., Modeling the Time-Varying Advantages of a Remanufactured Product: Is “Reman” Better Than “Brand New”? Journal of Mechanical Design 2016, 138, (5), 051701, DOI:10.1115/1.4032808.
- Ma, J.; Kim, H. M., Predictive Model Selection for Forecasting Product Returns. Journal of Mechanical Design 2016, 138, (5), 054501, DOI:10.1115/1.4033086.
- Quan, N.; Kim, H. M., A Mixed Integer Linear Programing Formulation for Unrestricted Wind Farm Layout Optimization. Journal of Mechanical Design 2016, 138, (6), 0614404-0614404-0614409, DOI:10.1115/1.4033239.
- Ma, J.; Kim, H. M., Highly Customizable Product Family Design with Predictive, Data-Driven Family Design Method. Research in Engineering Design 2015, September, 1-17.
- Ma, J.; Kim, H. M., Predictive Usage Mining for Life Cycle Assessment. Transportation Research - Part D 2015, 38, 125-143.
- Lu, S.; Kim, H. M., Wind Farm Layout Design Optimization through Multidisciplinary Design Optimization with Complementarity Constraints. Engineering Optimization Journal 2014 (Jan 2014), 1-25, DOI:10.1080/0305215X.2013.861457.
- Ma, J.; Kwak, M.; Kim, H. M., Demand Trend Mining for Predictive Life Cycle Design. Journal of Cleaner Production 2014, 68, 189-199, DOI:10.1016/j.jclepro.2014.01.026.
- Ma, J.; Kim, H. M., Continuous Preference Trend Mining for Optimal Product Design with Multiple Profit Cycles. Transactions of ASME: Journal of Mechanical Design 2014, 136, (9), DOI:10.1115/ 1.4026937.
- Kwak, M.; Kim, H. M., Design for Lifecycle Profit with a Simultaneous Consideration of Initial Manufacturing and End-of-Life Remanufacturing. Engineering Optimization Journal 2013 (Dec 2013), 1-18, DOI:10.1080/0305215X.2013.868450.
- Kwak, M.; Kim, H. M., Market Positioning of Remanufactured Products with Optimal Planning for Part Upgrades. Transactions of ASME: Journal of Mechanical Design, 2013, 135, (1).
- Kwak, M.; Kim, H. M., Product Family Design and Recovery for Lifecycle. Advances in Product Family and Product Platform Design, (Edited by Simpson, T., Jiao, R., Siddique, Z. and Holtta-Otto, K.), Springer, 2013.
- Kannan, A.; Shanbhag, U. V.; Kim, H. M., Addressing supply-side risk in uncertain power markets: stochastic Nash models, scalable algorithms and error analysis. Optimization Methods and Software, 2012. DOI:10.1080/10556788.2012.676756
- Kwak, M.; Kim, H. M.; Thurston, D., Formulating Second-Hand Market Value as a Function of Product Specifications, Age, and Condition. Transactions of ASME: Journal of Mechanical Design, 2012, 134, (3).
- Kannan, A.; Shanbhag, U. V.; Kim, H. M., Strategic Behavior in Power Markets under Uncertainty. Journal of Energy Systems, 2011, 2, (2).
- Kwak, M.; Behdad, S.; Zhao, Y.; Kim, H. M.; Thurston, D., E-waste Stream Analysis and Design Implications. Transactions of ASME: Journal of Mechanical Design, 2011, 133, (10).
- Kwak, M.; Kim, H. M., Assessing Product Family Design from an End-of-Life Perspective. Engineering Optimization Journal, 2011, 43, (3), 233-255.
- Rojas, A.; Kim, H. M., Optimal Component Sharing in a Product Family by Simultaneous Consideration of Minimum Description Length and Impact Metric. Engineering Optimization Journal, 2011, 43, (2), 175-192.
- Tucker, C.; Kim, H. M., Trend Mining for Predictive Product Design. Transactions of ASME: Journal of Mechanical Design, 2011, 133, (11).
-  Lu, S.; Schroeder, N.; Kim, H. M.; and Shanbhag, U., Hybrid Power/Energy Generation System Design through Multidisciplinary and Multilevel Design Optimization Problems with Complementarity Constraints. Transactions of ASME: Journal of Mechanical Design, 2010, 132, (10), 101007
-  Ramani, K.; Ramanujan, D.; Bernstein, W.; Zhao, F.; Sutherland, J.; Handwerker, C.; Choi, J.; Kim, H.; Thurston, D., Integrated Sustainable Life Cycle Design: A Review. Transactions of ASME: Journal of Mechanical Design, 2010, 132, (9), 091004. (Special issue on sustainability)
- Rojas, A.; Kim, H. M., Incorporating Security Considerations into Optimal Product Architecture and Component Sharing Decision in Product Family Design. Engineering Optimization Journal, 2012, 44, (1).