Dr. Seokgi Lee

Assistant Professor
Dr. Seokgi Lee - profile photo

Dr. Seokgi Lee

Assistant Professor

Rayen School of Engineering

Moser Hall 2465

slee10@ysu.edu

seoklee.weebly.com

Bio

Dr. Seokgi Lee received his Ph.D. in Industrial and Manufacturing Engineering from the Pennsylvania State University, University Part, PA, USA. He also received the B.S. and M.S. degrees in Industrial Engineering from Hanyang University, Seoul, South Korea. Dr. Lee is a former Assistant Professor in Industrial Engineering at the University of Miami, USA. Currently He is an Assistant Professor in Industrial and Systems Engineering at the Youngstown State University.

Research Interests

Dr. Seokgi Lee's research interests include distributed control systems using feedback control theory, predictive analytics and artificial neural network for service engineering processes such as supply chain management, transportation, and healthcare systems.

Teaching Interests

Dr. Seokgi Lee's teaching interests include operations research, production and inventory control, design of manufacturing systems, engineering statistics, and simulation systems.

  • Education
    • 2013

      Ph D, Industrial and Manufacturing Engineering

      Pennsylvania State University

    • 2001

      MS, Industrial Engineering

      Hanyang University

    • 1999

      BS, Industrial Engineering

      Hanyang University

  • Awards and Honors
    • 2023

      Youngstown State University

      Research Professorship

    • 2022

      Youngstown State University

      Research Professorship

    • February 2021

      University of Miami

      Provost research award

      Provost Research Award for the research project titled “Detecting hidden characteristics of patients administered or prescribed opioids in emergency departments"

    • 2018

      Society of Manufacturing Engineers (SME)

      SME Journal Award - Outstanding reviewer award

    • 2018

      Yonsei University, South Korea

      Scholarship for international collaborative research

      Scholarship for conducting research on multi-product dynamic flexible production scheduling algorithm with deep reinforcement learning.

    • 2017

      Yonsei University, South Korea

      Yonsei Institute of Sports Science and Exercise Medicine

    • 2014

      Pennsylvania State University

      Post-Doctoral Fellowship

    • October 2013

      Johns Hopkins University

      Post-Doctoral Fellowship

  • Past History
    • 2017

      Yonsei University, South Korea

      Visiting Fellow

    • 2017

      Johns Hopkins University

      Associate

    • 2014

      University of Miami

      Assistant Professor

    • 2014

      Pennsylvania State University

      Post-doctoral researcher

    • 2013

      Johns Hopkins University

      Post-doctoral Researcher

    • 2011

      Pennsylvania State University

      Instructor

    • 2008

      Pennsylvania State University

      Research Assistant

    • 2006

      Gyeonggi Research Institute, South Korea

      Research Assistant

    • 2004

      LG CNS Co., Ltd., South Korea

      Project Manager, System Consultant

    • 2001

      ERHouse Co., Ltd., South Korea

      Computer Programmer, System Consultant

  • Intellectual Contributions
    • 2022

      "Racial disparities in opioid administration and prescribing in the emergency department for pain"

      AMERICAN JOURNAL OF EMERGENCY MEDICINE, volume 55, p. 167-173

    • 2022

      "Demurrage pattern analysis using logical analysis of data: A case study of the Ulsan Port Authority"

      EXPERT SYSTEMS WITH APPLICATIONS, volume 206

    • 2022

      "An electric forklift routing problem with battery charging and energy penalty constraints"

      JOURNAL OF INTELLIGENT MANUFACTURING, volume 33, issue 6, p. 1761-1777

    • 2022

      "A Hierarchical Deep Reinforcement Learning Approach for Outpatient Primary Care Scheduling"

      IEEE/Winter Simulation Conference

    • 2021

      "Scheduling patient appointment in an infusion center: a mixed integer robust optimization approach"

      HEALTH CARE MANAGEMENT SCIENCE, volume 24, issue 1, p. 117-139

    • 2021

      "An integrated inventory and distribution problem for alternative fuel: a matheuristic approach"

      EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING, volume 15, issue 5, p. 711-744

    • 2020

      "Relationships Among Bone Morphological Parameters and Mechanical Properties of Cadaveric Human Vertebral Cancellous Bone"

      JBMR PLUS, volume 4, issue 5

    • 2020

      "Multi-agent system and reinforcement learning approach for distributed intelligence in a flexible smart manufacturing system"

      JOURNAL OF MANUFACTURING SYSTEMS, volume 57, p. 440-450

    • 2020

      "Minimizing total energy cost and tardiness penalty for a scheduling-layout problem in a flexible job shop system: A comparison of four metaheuristic algorithms"

      COMPUTERS & INDUSTRIAL ENGINEERING, volume 141

    • 2020

      "Idle time and capacity control for a single machine scheduling problem with dynamic electricity pricing"

      OPERATIONS MANAGEMENT RESEARCH, volume 13, issue 3-4, p. 197-217

    • 2019

      "Learning-based logistics planning and scheduling for crowdsourced parcel delivery"

      COMPUTERS & INDUSTRIAL ENGINEERING, volume 132, p. 271-279

    • 2019

      "Estimating manufacturing electricity costs by simulating dependence between production parameters"

      ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, volume 55, p. 129-140

    • 2017

      "Power demand risk models on milling machines"

      JOURNAL OF CLEANER PRODUCTION, volume 165, p. 1215-1228

    • 2017

      "A dynamic control approach for energy-efficient production scheduling on a single machine under time-varying electricity pricing"

      JOURNAL OF CLEANER PRODUCTION, volume 165, p. 552-563

    • 2016

      "Smart logistics: distributed control of green crowdsourced parcel services"

      INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, volume 54, issue 23, p. 6956-6968

    • 2016

      "Predictive analytics for delivering prevention services"

      EXPERT SYSTEMS WITH APPLICATIONS, volume 55, p. 469-479

    • 2016

      "Just-in-time delivery for green fleets: A feedback control approach"

      TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, volume 46, p. 229-245

    • 2015

      "Energy-aware feedback control for production scheduling and capacity control"

      INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, volume 53, issue 23, p. 7158-7170

    • 2015

      "A Dynamic Algorithm for Distributed Feedback Control for Manufacturing Production, Capacity, and Maintenance"

      IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, volume 12, issue 2, p. 628-641

    • 2014

      "Energy-Aware Models for Warehousing Operations"

      ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: INNOVATIVE AND KNOWLEDGE-BASED PRODUCTION MANAGEMENT IN A GLOBAL-LOCAL WORLD, APMS 2014, PT II, volume 439, p. 390-397

    • 2014

      "Distributed Feedback Control for Production, Inventory, and CO2 Emissions in an Assemble-To-Order System"

      SERVICE ORIENTATION IN HOLONIC AND MULTI-AGENT MANUFACTURING AND ROBOTICS, volume 544, p. 15-29

    • 2013

      "CONTINUOUS VARIABLE CONTROL APPROACH FOR HOME CARE CREW SCHEDULING"

      2013 WINTER SIMULATION CONFERENCE (WSC), p. 2262-2273

    • 2011

      "Real-time Feedback Control for Production, Maintenance, and Capacity"

      PROCEEDINGS OF INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IESM'2011): INNOVATIVE APPROACHES AND TECHNOLOGIES FOR NETWORKED MANUFACTURING ENTERPRISES MANAGEMENT, p. 1464-1473

    • 2010

      "SIMULATION-BASED CONTROL FOR GREEN TRANSPORTATION WITH HIGH DELIVERY SERVICE"

      PROCEEDINGS OF THE 2010 WINTER SIMULATION CONFERENCE, p. 2046-2056

  • Professional Service
    • 2017 - present

      Editorial Review Board Member
      Society of Manufacturing Engineers (SME)

    • 2008 - present

      Reviewer, Journal Article
      Taylor and Francis

    • 2008 - present

      Reviewer, Journal Article
      Springer

    • 2008 - present

      Reviewer, Journal Article
      Elsevier

Dr. Seokgi Lee received his Ph.D. in Industrial and Manufacturing Engineering from the Pennsylvania State University, University Part, PA, USA. He also received the B.S. and M.S. degrees in Industrial Engineering from Hanyang University, Seoul, South Korea. Dr. Lee is a former Assistant Professor in Industrial Engineering at the University of Miami, USA. Currently He is an Assistant Professor in Industrial and Systems Engineering at the Youngstown State University. His research interests include distributed control systems using feedback control theory, predictive analytics and artificial neural network for service engineering processes such as supply chain management, transportation, and healthcare systems.

  • Research Focus

    Energy-aware Manufacturing & Transportation Systems, Predictive Analytics for Prevention Service, Simulation-optimization for Transportation and Healthcare Systems

  • Expertise

    Methodologies: simulation-based optimization, machine learning, feedback control theory, distributed system control, matheuristics, meta-heuristics

    Applications: learning-based logistics and transportation management, energy-aware supply chain control, outpatient scheduling and drug inventory control, predictive analytics for prevention services, sharing economy in material-handling and transportation systems

  • List of courses

    Youngstown State University, Youngstown, OH

    • ISEN 6935 Decision Analysis for Engineering (graduate)
    • ISEN 3716 System Analysis and Design (undergraduate)
    • ISEN 3716 Engineering Statistics (undergraduate)
    • ISEN 5801 Operations Research 1 (undergraduate)

    University of Miami, Coral Gables, FL

    • IEN 765 Advanced Production Systems (graduate)
    • IEN 465 Production and Inventory Control (undergraduate)
    • IEN 441 Deterministic Models in Operations Research (undergraduate)

    The Pennsylvania State University, University Park, PA

    • IE 330 Information Technology for Industrial Engineering (undergraduate)
  • Service to the Institution
    • Committee of New Faculty Search in ISEN, Youngstown State University, 2021 to present
    • Committee of the College of Engineering College Council, University of Miami, 2020 to 2021
    • Committee chair of PhD recruitment in IEN, University of Miami, 2020 to 2021
    • Committee of PhD Qualifying Exam in IEN, University of Miami, 2019 to 2021
    • IEN Seminar Search Committee of the Department of Industrial Engineering, University of Miami, 2018 to 2021
    • Session Organizer for the College of Engineering Research Day, University of Miami, 2019