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Digital Manufacturing and Design

Hyunwoong Ko

Principal Investigator

https://isearch.asu.edu/profile/4002102

Biography: 

Dr. Hyunwoong Ko is an assistant professor in the School of Manufacturing Systems and Networks of the Ira A. Fulton Schools of Engineering at Arizona State University. He completed his Ph.D. in the School of Mechanical and Aerospace Engineering at Nanyang Technological University in Sep. 2019 and worked at National Institute of Standards and Technology during his Ph.D. and Postdoctoral studies as a research associate until Sep. 2021.

His research is focused on data science, manufacturing science, and design science as well as the intersections between these three areas. His research aims at building foundations of Artificial Intelligence (AI) and digitization for manufacturing and design. Such foundations help facilitate the integration between the disciplines of AI and Machine Learning, Cyber-physical Systems, and Digital Twins at multiple spatial-temporal scales in the context of advanced manufacturing such as Additive Manufacturing. Eventually, his research improves critical control and decision-making in manufacturing and design, like Design for Additive Manufacturing, In-situ Monitoring and Control, and Ex-situ Evaluation, using AI on emerging data and newfound knowledge from both virtual and physical systems.

CV:

Curriculum Vitae

Education:

Ph.D., Mechanical and Aerospace Engineering (Sep. 2019)

  • Nanyang Technological University (NTU)
  • Agency for Science Technology and Research (A*STAR) scholar
  • Research Associate at National Institute of Standards and Technology (NIST)

M.S., Industrial and Management Engineering (Feb. 2012)

  • Hanyang University

B.S., Industrial Engineering (Feb. 2010)

  • Hanyang University (ERICA)
  • 1st ranked in the graduating class

Research Interests: 

  • Additive Manufacturing
  • Data Analytics, Machine Learning, & Artificial Intelligence in Design & Manufacturing
  • Data Fusion, Integration, & Management
  • Cyber-physical Manufacturing Systems
  • Hybrid, Physics-informed, Data-driven Modeling
  • Process-structure-property, Causal Analytics

Professional Experience:

  • Assistant Professor in Manufacturing Engineering, The School of Manufacturing Systems and Networks, The Ira A. Fulton Schools of Engineering, Arizona State University, USA, Jan. 2022 – Present
  • Graduate Faculty in Data Science, Analytics, and Engineering, The School of Computing and Augmented Intelligence, Arizona State University, AZ, USA, Jan. 2022 – Present
  • Graduate Faculty in Systems Engineering, The Polytechnic School, Arizona State University, Tempe, AZ, USA, Jan. 2022 – Present
  • Postdoctoral Research Associate, Systems Integration Division, Engineering Laboratory, National Institute of Standards and Technology, USA, Oct. 2019 – Sep. 2021
  • Research Associate, Systems Integration Division, Engineering Laboratory, National Institute of Standards and Technology, USA, Oct. 2017 – Sep. 2019
  • Research and Teaching Assistant, Design Science Laboratory & Singapore Centre for 3D Printing, School of Mechanical and Aerospace, Nanyang Technological University, Singapore, Aug. 2013 – Sep. 2017
  • Research Associate, Complex Systems Interaction Laboratory, Department of Industrial and Management Engineering, Hanyang University, South Korea, Mar. 2012 – Feb. 2013
  • Research and Teaching Assistant, Complex Systems Interaction Laboratory, Department of Industrial and Management Engineering, Hanyang University, South Korea, Mar. 2010 – Feb. 2012

Honors & Awards (Selected):

  • 2020, Best Paper Award, KSME Fall/Spring Online Conference, Korean Society of Mechanical Engineers, Dec. 2020
  • 2019 IEEE CASE Student Travel Award, Jun. 2019
  • 2017 IJPEM Highly Commended Paper Award, Dec. 2017
  • 2nd place, 2013 1st Singapore International 3D Printing Competition, Dec. 2013
  • Singapore International Graduate Award (SINGA), Agency for Science Technology and Research (A*STAR), Aug. 2013 – Aug. 2017
  • Graduated summa cum laude (1st ranked in the graduating class), Hanyang University, Feb. 2010
  • 3rd place, 2009 Paper Competition in Applied Science and Technology, College of Science and Technology, Hanyang University, Nov. 2009
  • National Science & Technology Scholarship, Korea Student Aid Foundation, Fall 2008
  • Scholarship (Top), Hanyang University, Fall 2007
  • The Army Achievement Medal, US Army, Oct. 2006

Teaching Experience:

  • Advanced Simulation (EGR 608), Arizona State University, Spring 2023
  • Engineering Economics (EGR 598, MFG 461), Arizona State University, Spring 2022 & 2023
  • MA2071 Laboratory Experiments (ME): E2.2 Study of Fan Performance using Dimensional Analysis, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Jan. 2017 – Jun. 2017
  • Undergraduate Final Year Project, Customized 3D Printed Sensor for Structural Health Monitoring of Unmanned Aerial Vehicles (UAVs), School of Mechanical and Aerospace Engineering, Nanyang Technological University, Aug. 2016 – Mar. 2017
  • Undergraduate Final Year Project, System Dynamics on Product Service System and Sustainability, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Aug. 2016 – Mar. 2017
  • P3.6AE Familiarisation of Air Traffic Control (ATC) Tower Operations and Flight Sequencing, Air Traffic Management Research Institute, Nanyang Technological University, Aug.–Dec. 2016
  • MA4843 Management of Product Development, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Aug. 2016
  • Undergraduate Final Year Project, Function- and Affordance-based Product Service System, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Aug. 2015 – Jun. 2016
  • Computer Integrated Manufacturing, Department of Industrial and Management Engineering, Hanyang University, May 2012, May 2011, and Nov. 2010

Invited Talks:

  1. Ko, H. “Machine-learning-driven Spatial-temporal Modeling for In-situ Monitoring of Laser Powder Bed Fusion,” Hack3D Symposium, New York University, Jul. 15, 2022
  2. Ko, H. “Machine Learning in Additive Manufacturing: Opportunities and Challenges,” New York University, Jul. 5, 2022.
  3. Ko, H. “Design for Additive Manufacturing and Machine-learning-Driven Opportunities,” Keynote Speaker, Workshop of Professional Manpower Training for New-materials 3D Printing, Korea Electronics Technology Institute, Gyeongju, Gyeongsangbuk-do, South Korea, Feb. 9, 2022.
  4. Ko, H., “A Framework Driven by Physics-informed Machine Learning for Causality Analytics for Additive Manufacturing,” Kyunghee University, Suwon, South Korea, Dec. 16, 2021.
  5. Ko. H., “AI-driven Design for Additive Manufacturing in Medical Applications,” 8th Annual Winter Congress of the Korean Medical 3D Printing Society, Sejong University, Seoul, South Korea, Dec. 11, 2021.
  6. Ko. H., “Additive Manufacturing, Design for Additive Manufacturing, and Machine-learning-driven Potential,” Kyonggi University, Suwon, South Korea, Nov. 15, 2021.
  7. Ko, H., “Machine Learning and Artificial Intelligence Opportunities in Additive Manufacturing,” Dong-A University, Busan, South Korea, Jul. 13, 2021.
  8. Ko, H., “Machine-learning-driven Process-structure-property Analytics and Decision-support for Additive Manufacturing,” Tea Seminar, National Institute of Standards and Technology, Gaithersburg, Maryland, USA, Jun. 30, 2021.
  9. Ko, H., “Process-structure-property Modeling and Machine Learning in Additive Manufacturing,” NIST AM Seminar Series w/ Nuclear Regulatory Commission – Data, Information, and Modeling Considerations, Session: Using Predictive Analytics to Establish Part Conformity, National Institute of Standards and Technology, Gaithersburg, Maryland, USA, Apr. 14, 2021.
  10. Ko, H., “Machine Learning and AI-driven Process-structure-property Analytics and Decision-support for Additive Manufacturing,” Arizona State University, Arizona, USA, Apr. 5, 2021.
  11. Ko, H., “Machine-learning-driven Process-structure-property Analytical Framework for Additive Manufacturing,” Invited Lecture, Hanyang University, South Korea, Feb. 23, 2021.
  12. Ko, H., “AI-driven Laser Powder Bed Fusion Additive Manufacturing,” Industrial AI Seminar, Hanyang University, South Korea, Aug. 31, 2020.
  13. Ko, H., “Continuous Knowledge Engineering for Additive Manufacturing,” NIST AM Caucus, National Institute of Standards and Technology, Gaithersburg, Maryland, USA, April 15, 2019.
  14. Ko, H., Witherell, P., Rosen, D. W., and Kim, S., “A Methodology for Modular Design Rule Representation and Ontology Development for Additive Manufacturing,” NIST Presentations on Additive Manufacturing from the 2018 Solid Freeform Fabrication Symposium., National Institute of Standards and Technology, Gaithersburg, Maryland, USA, Sept. 4, 2018.
  15. Ko, H. and Kim, S., “Developing Design Rules for Additive Manufacturing,” Seminar, National Institute of Standards and Technology, Gaithersburg, Maryland, USA, Dec. 20, 2017.
  16. Ko. H., “Design for Additive Manufacturing in Customized Products”, Singapore Centre for 3D Printing (SC3DP) Technical Talks, Nanyang Technological University, Singapore, March 25, 2015.

CONFERENCE-PROCEEDING PRESENTATIONS:

  1. Ko, H., Kim, J., Lu, Y., Shin, D., Yang, Z., and Oh, Y., “Spatial-Temporal Modeling Using Deep Learning for Real-Time Monitoring of Additive Manufacturing,” ASME 2022 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, St. Louis, Missouri, USA, Aug. 14-17, 2022.
  2. Ko, H., “A Review on Machine Learning Interpretation for Additive Manufacturing,” 33rd Annual International Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference, Austin, Texas, USA, July. 25-27, 2022.
  3. Ko, H., Lu, Y., Yang, Z., and Witherell, P., “Being Real-time in Process-structure-property Analytics for Additive Manufacturing using Machine Learning and Knowledge Representation,” Mechanistic Machine Learning and Digital Twins for Computational Science Engineering & Technology, San Diego, CA, USA, Sept. 26-29, 2021, https://doi.org/10.26226/morressier.612f6737bc981037241008e2.
  4. Ko, H., Witherell, P., Ndiaye, N. Y., and Lu, Y., “Machine Learning based Continuous Knowledge Engineering for Additive Manufacturing,” 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), Vancouver, British Columbia, Canada, Aug. 22-26, 2019.
  5. Ko, H., Witherell, P., Rosen, D. W., and Kim, S., “A Methodology for Modular Design Rule Representation and Ontology Development for Additive Manufacturing,” 29th Annual International Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference, Austin, Texas, USA, Aug. 13-15, 2018.
  6. Ko, H., Moon, S. K., “Contradicting Functions with Affordances in Design for Additive Manufacturing,” ASME 2017 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Cleveland, Ohio, USA, Aug. 6-9, 2017.
  7. Ko, H., Moon, S. K., Wood, K. L., and Oh, H. S., “An Integration of Function- and Affordance-based Methods for Product-service System Utilizing Finite State Automata,” 9th IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Bali, Indonesia, Dec. 4-7, 2016.
  8. Ko, H., Sacco, E., Chua, Z. Y., Moon, S. K., and Otto, K., “User-centered Design for Additive Manufacturing as a Customization Strategy,” 2nd International Conference on Progress in Additive Manufacturing (Pro-AM), Singapore, May. 16-19, 2016.
  9. Ko, H., Moon, S. K., and Hwang, J., “Design for Additive Manufacturing in Customized Products,” International Symposium on Green Manufacturing and Applications, Busan, South Korea, Jun. 24-28, 2014.
  10. Ko, H., Moon, S. K., and Otto, K., “Customization Design Knowledge Representation to Support Additive Manufacturing,” 1st International Conference on Progress in Additive Manufacturing (Pro-AM), Singapore, May. 26-28, 2014.
  11. Ko, H. and Shin, D. M., “Affordance-based Interaction Design and Its Implications on Systems Design,” HCI Korea 2012, Alpensia Convention Center, Gangwon-do, Korea, Jan. 11~13, 2012.
  12. Ko, H. and Shin, D. M., “s-Scape: a Service Prototype Testing Space for Innovation of Service Quality Improvement,” 2011 IIE Asian Conference AIIE, Shanghai, China, Jun. 10-12, 2011.
  13. Ko, H. and Shin, D. M., “Formal Modeling of Quality-measurable Service Systems using Affordance-based Finite State Automata,” Korean Institute of Industrial Engineers, Seoul, Korea, Nov. 5, 2011.

Service Activities:

International Standards

  • ASTM F42/ISO TC 261 Additive Manufacturing Standards Meetings, Apr. 2018 – 2021
  • Additive Manufacturing Technical Committee, Singapore, Dec. 2018 – Sep. 2021

Conference & Workshop

  • Program Chair, Systems Engineering Information Knowledge Management (SEIKM), Computers and Information in Engineering Conference (CIE), American Society of Mechanical Engineers (ASME), Aug. 2022- Present
  • Co-chair, Hackathon Committee, American Society of Mechanical Engineers (ASME), Oct 2022 – Present
  • Chair, Hackathon Committee, American Society of Mechanical Engineers (ASME), Oct. 2021 – Present
  • Chair, CIE-23 AMS-CAPPD-SEIKEM: Design, Simulation and Optimization for Additive Manufacturing, ASME 2022 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE2022), Jan. 2022 – Present
  • Co-chair, CIE-14 SEIKEM: Smart Manufacturing Informatics, ASME 2022 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE2022), Jan. 2022 – Present
  • Public Communication Subcommittee, Quality, Statistics, and Reliability (QSR) Council, Institute for Operations Research and the Management Sciences (INFORMS), Jan. 2022 – Present
  • Judge, 2021 ASME-CIE Hackathon, Computers & Information in Engineering Division (CIE), American Society of Mechanical Engineers (ASME), Aug. 14-15, 2021
  • Session Assistant, Interoperability Session (led by NIST and GE Additive), NIST/ASM International Virtual Additive Manufacturing Data Management Workshop, NIST, Gaithersburg, Maryland, USA, Oct. 27 – 28 2020
  • Conference Assistant, 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Bali, Indonesia, Dec. 4 – 7, 2016

Reviewer

  • Additive Manufacturing Journal
  • ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference
  • IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
  • Journal of Mechanical Design
  • NIST Washington Editorial Review Board
  • Robotics and Computer-Integrated Manufacturing Journal
  • Smart and Sustainable Manufacturing Systems Journal
  • Virtual and Physical Prototyping Journal

University

  • Faculty Search Committee, The School of Manufacturing Systems and Networks, The Ira A. Fulton Schools of Engineering, Arizona State University, Aug. 2022 – Present
  • Graduate Student Club, Nanyang Technological University, Aug. 2015 – Jun. 2016
  • Undergraduate Mentor, Find-SELF program, Hanyang University, Feb. 2010 – Aug. 2011

Military

Military Police (MP), Korean Augmentation To the United States Army (KATUSA), South Korea

  • Special Reaction Team, 94th MP Battalion, 8th MP Brigade, 8th US Army, Sep. 2005 – Oct. 2006
  • 142nd Military Police Company, 94th MP Battalion, 8th MP Brigade, 8th US Army, Dec. 2004 – Sep. 2005