Seok G. Lee

Photo of Seok G. Lee

Seok G. Lee

Assistant Professor Industrial Engineering Department
Work Phone: (305) 284-2370 Website: Dr. Lee Website



Research Interests

Methodologies: Feedback control, Distributed system and control, Dynamic probabilistic systems, Machine learning. Applications: Energy-aware operations in manufacturing and logistics systems; Prevention service, Evidence-based prevention analytics; Homecare service.


    • The Pennsylvania State University, Ph.D. in Industrial and Manufacturing Engineering (2013)
    • Hanyang University, M.S. in Industrial Engineering (2001)
    • Hanyang University, B.S. in Industrial Engineering (1999)


    • Johns Hopkins University, Associate. Mental Health (2017 - Present)
    • University of Miami, Assistant Professor. College of Engineering (2014 - Present)
    • Pennsylvania State University, Postdoctoral Researcher. Industrial and Manufacturing Engineering (2014)
    • Bloomberg School of Public Health, John Hopkins University, Postdoctoral Researcher/Systems Consultant. (2013)
    • Pennsylvania State University, Instructor. Industrial and Manufacturing Engineering (2011 - 2013)
    • Pennsylvania State University, Research Assistant. Industrial and Manufacturing Engineering (2008 - 2012)


  • Juried or Refereed Journal Articles or Exhibitions

    • Jeon, H., Lee, S. G., Wang, C. (2018).Estimating manufacturing electricity costs by simulating dependence between production parameters. Robotics and Computer-Integrated Manufacturing, 55, 11.
    • Lee, S. G., Chung, B., Jeon, H., Chang, J. (2017).A Dynamic Control Approach for Energy-Efficient Production Scheduling on a Single Machine Under Time-Varying Electricity Pricing. Journal of Cleaner Production, 165, 552-563.
    • Jeon, H., Lee, S. G., Kargarian, A., Kang, Y. (2017).Power Demand Risk Models on Material Cutting Machines. Journal of Cleaner Production, 165, 1215-1228.
    • Lee, S. G., Prabhu, V. (2016).Just-in-time Delivery for Green Fleets: a Feedback Control Approach. Transportation Research, Part D: Transport and Environment, 46, 229-245.
    • Lee, S. G., Kang, Y., Ialongo, N., Prabhu, V. (2016).Predictive Analytics for Delivering Prevention Service. Expert Systems with Applications, 55, 469-479.
    • Lee, S. G., Kang, Y., Prabhu, V. (2016).Smart Logistics: Distributed Control of Green Crowdsourced Parcel Services. International Journal of Production Research, 54, 6956-6968.
    • Lee, S. G., Prabhu, V. (2015).Energy-aware feedback control for production scheduling and capacity control. International Journal of Production Research, 53, 7158-7170.
    • Lee, S. G., Prabhu, V. (2015).A Dynamic Algorithm for Distributed Feedback Control for Manufacturing Production, Capacity, and Maintenance. IEEE Transactions on Automation Science and Engineering, 12, 628 - 641.
  • Book Chapters

    • Anand, V., Lee, S. G., Prabhu, V. (2014). Energy-Aware Models for Warehousing Operations. In Advances in Production Management Systems, Innovative and Knowledge-Based Production Management in a Global-Local World (pp. 390-397). Springer Berlin Heidelberg.
    • Lee, S. G., Prabhu, V. (2014). Distributed Feedback Control for Production, Inventory, and CO2 Emissions in an Assemble-To-Order System. ervice Orientation in Holonic and Multi-Agent Manufacturing and Robotics (pp. 15-29). Springer International Publishing.

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