{"id":13,"date":"2021-12-09T13:00:10","date_gmt":"2021-12-09T20:00:10","guid":{"rendered":"https:\/\/faculty.engineering.asu.edu\/ko\/?post_type=person&p=13"},"modified":"2026-05-28T16:27:42","modified_gmt":"2026-05-28T23:27:42","slug":"hyun-ko","status":"publish","type":"page","link":"https:\/\/faculty.engineering.asu.edu\/ko\/hyun-ko\/","title":{"rendered":""},"content":{"rendered":"\n

\"\"<\/figure><\/h2>\n\n\n\n

Biography<\/strong>: <\/h2>\n\n\n\n

Dr. Hyunwoong Ko is an Assistant Professor in the School of Manufacturing Systems and Networks at the Ira A. Fulton Schools of Engineering, Arizona State University. He earned his Ph.D. in the School of Mechanical and Aerospace Engineering at Nanyang Technological University (NTU) in September 2019. During his Ph.D. studies and subsequent postdoctoral training, he worked at the National Institute of Standards and Technology (NIST) as a research associate until September 2021.<\/p>\n\n\n\n

Dr. Ko\u2019s research focuses on data science, manufacturing science, and design science, with particular emphasis on their intersections. His work aims to establish foundational principles for Physical Artificial Intelligence (AI) and digitalization in manufacturing and design. These foundations enable tighter integration of AI and machine learning, cyber-physical systems, and digital twins across multiple spatial and temporal scales, particularly in advanced manufacturing domains such as additive manufacturing, semiconductor manufacturing, and robotics-based manufacturing. Ultimately, his research seeks to enhance control and decision-making in manufacturing and design\u2014spanning areas such as design for manufacturing, in-situ monitoring and control, and ex-situ evaluation\u2014by leveraging AI-driven insights derived from emerging data and knowledge generated through both virtual and physical systems. <\/p>\n\n\n\n

CV: Curriculum Vitae<\/a><\/h3>\n\n\n
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Ph.D., Mechanical and Aerospace Engineering <\/strong>(Sep. 2019)<\/p>\n

    \n
  • Nanyang Technological University (NTU)<\/li>\n
  • Agency for Science Technology and Research (A*STAR) scholar<\/li>\n
  • Research Associate at the National Institute of Standards and Technology (NIST)<\/li>\n<\/ul>\n

    M.S., Industrial and Management Engineering <\/strong>(Feb. 2012)<\/p>\n

      \n
    • Hanyang University<\/li>\n<\/ul>\n

      B.S., Industrial Engineering<\/strong> (Feb. 2010)<\/p>\n

        \n
      • Hanyang University (ERICA)<\/li>\n
      • 1st ranked in the graduating class<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n

        Research Interests:\u00a0<\/h2>\n
          \n
        • Physical AI<\/li>\n
        • Digital Twins<\/li>\n
        • Engineering Foundation Models<\/li>\n
        • Generative & Agentic AI<\/li>\n
        • Autonomous Robotics for Manufacturing<\/li>\n
        • Design & Manufacturing Intelligence<\/li>\n<\/ul>\n

          Professional Experience:<\/h2>\n
            \n
          • 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<\/li>\n
          • Graduate Faculty, Ph.D. Program in Manufacturing Engineering, The School of Manufacturing Systems and Networks, The Ira A. Fulton Schools of Engineering, Arizona State University, USA, Jan. 2023 \u2013 Present<\/li>\n
          • Graduate Faculty in Data Science, Analytics, and Engineering, The School of Computing and Augmented Intelligence, Arizona State University, AZ, USA, Jan. 2022 – Present<\/li>\n
          • Graduate Faculty in Systems Engineering, The Polytechnic School, Arizona State University, Tempe, AZ, USA, Jan. 2022 – Present<\/li>\n
          • Postdoctoral Research Associate, Systems Integration Division, Engineering Laboratory, National Institute of Standards and Technology, USA, Oct. 2019 \u2013 Sep. 2021<\/li>\n
          • Research Associate, Systems Integration Division, Engineering Laboratory, National Institute of Standards and Technology, USA, Oct. 2017 \u2013 Sep. 2019<\/li>\n
          • Research and Teaching Assistant, Design Science Laboratory & Singapore Centre for 3D Printing, School of Mechanical and Aerospace, Nanyang Technological University, Singapore, Aug. 2013 \u2013 Sep. 2017<\/li>\n
          • Research Associate, Complex Systems Interaction Laboratory, Department of Industrial and Management Engineering, Hanyang University, South Korea, Mar. 2012 \u2013 Feb. 2013<\/li>\n
          • Research and Teaching Assistant, Complex Systems Interaction Laboratory, Department of Industrial and Management Engineering, Hanyang University, South Korea, Mar. 2010 \u2013 Feb. 2012<\/li>\n<\/ul>\n

            Honors & Awards (Selected):<\/h2>\n
              \n
            • Technical Committee Leadership Award, Computers and Information in Engineering (CIE), <\/span>ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC\/CIE), Aug. 2024<\/span><\/li>\n
            • Best Paper Award<\/span>, Systems Engineering, Information and Knowledge Management Track, Computers and Information in Engineering (CIE), ASME IDETC\/CIE<\/span>, Aug. 2023<\/li>\n
            • Faculty of Impact Award<\/span>, Arizona State University, May 2023<\/li>\n
            • Recognition<\/span>, Hackathon Committee Chair, Computers and Information in Engineering (CIE), American Society of Mechanical Engineers (ASME)<\/span>, Aug. 2022<\/li>\n
            • Best Paper Award<\/span>, KSME Fall\/Spring Online Conference<\/span>, Korean Society of Mechanical Engineers, Dec. 2020<\/li>\n
            • IEEE CASE Student Travel Award, Jun. 2019<\/span><\/li>\n
            • IJPEM Highly Commended Paper Award<\/span>, International Journal of Precision Engineering and Manufacturing, Dec. 2017<\/li>\n
            • Second Place<\/span>, 1st Singapore International 3D Printing Competition, Dec. 2013<\/li>\n
            • Singapore International Graduate Award (SINGA)<\/span>, Agency for Science, Technology and Research (A*STAR), Aug. 2013 \u2013 Aug. 2017<\/li>\n
            • Graduated summa cum laude<\/span> (Ranked 1st in graduating class), Hanyang University<\/span>, Feb. 2010<\/li>\n
            • Third Place<\/span>, Paper Competition in Applied Science and Technology, College of Science and Technology, Hanyang University, Nov. 2009<\/li>\n
            • National Science & Technology Scholarship<\/span>, Korea Student Aid Foundation, Fall 2008<\/li>\n
            • Top Scholarship Award<\/span>, Hanyang University, Fall 2007<\/li>\n
            • Army Achievement Medal<\/span>, United States Army, Oct. 2006<\/li>\n<\/ul>\n

              Invited Talks <\/strong>(Selected):
              <\/strong><\/h2>\n
                \n
              1. Ko, H.<\/b>, \u201cToward Advanced Physical AI and Digital Twins for Manufacturing and Design: Generative, Graph, and Attention-based Learning,\u201d SIE Seminar Series, University of Arizona, Tucson, United States, Nov. 20, 2025<\/li>\n
              2. Ko, H.<\/b>, \u201cGenerative Modeling for Predictive Manufacturing Digital Twins\u201d Workshop: Data Management and Digital Twins for Advanced Manufacturing, ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC\/CIE 2025), Anaheim, California, USA, Aug. 17, 2025<\/li>\n
              3. Ko, H.<\/b>, \u201cAM Transformer: A Koopman Theory-Based Transformer to Learn Additive Manufacturing Dynamics,\u201d Webinar: Advanced Data Analysis and Knowledge Models in Smart Manufacturing, International Journal of AI for Materials and Design, Nov. 11, 2024.<\/li>\n
              4. Ko, H.<\/b>, \u201cGenerative and Transformer Modeling Approaches for Advanced Manufacturing,\u201d Keynote Speaker, LG 2024 Laser Technology Forum, LG Electronics, South Korea, Sept. 26, 2024.<\/li>\n
              5. Ko, H.<\/b>, \u201cGenerative Diffusion Modeling for Predictive Digital Twins of Sustainable Nanoparticle Electronics Printing,\u201d The 18th U.S.-Korea Forum on Nanotechnology, Tempe, Arizona, Sept. 23, 2024.<\/li>\n
              6. Ko, H.<\/b>, \u201cDiffusion and Transformer Modeling for Predictive Digital Twins in Advanced Manufacturing: A Process-Structure-Property Approach,\u201d Metrology & Inspection, A-FAB T\/F, Samsung Electronics, South Korea, Aug. 14, 2024.<\/span><\/li>\n
              7. Ko, H.<\/b>, \u201cUnraveling Supply Chains: The Transformative Power of Knowledge Graphs,\u201d 2024 Open Industrial Digital Eco System Summit, Tempe, Arizona, Feb. 6, 2024.<\/li>\n
              8. Ko, H.<\/b>, \u201cA Framework Driven by Physics-guided Machine Learning of Process-Structure-Property Causality for Digital Additive Manufacturing,\u201d Korea Institute of Machinery & Materials, Korea, Nov. 30, 2022.<\/li>\n
              9. Ko, H.<\/b>, \u201cA Framework Driven by Physics-guided Machine Learning of Process-Structure-Property Causality for Digital Additive Manufacturing,\u201d National University of Singapore, Singapore, Nov. 28, 2022.<\/li>\n
              10. Ko, H.<\/b>, \u201cMachine-Learning-Driven Spatial-Temporal Modeling for In-Situ Monitoring of Laser Powder Bed Fusion,\u201d Hack3D Symposium, New York University, Jul. 15, 2022<\/li>\n
              11. Ko, H.<\/b>, \u201cMachine Learning in Additive Manufacturing: Opportunities and Challenges,\u201d New York University, Jul. 5, 2022<\/li>\n
              12. Ko, H.<\/b>, \u201cDesign for Additive Manufacturing and Machine-learning-driven Opportunities,\u201d Keynote Speaker, Workshop of Professional Manpower Training for New-materials 3D Printing, Korea Electronics Technology Institute, Gyeongju, Gyeongsangbuk-do, South Korea, Feb. 9, 2022<\/li>\n<\/ol>\n

                CONFERENCE-PROCEEDING PRESENTATIONS<\/strong><\/h2>\n

                (Selected):<\/strong><\/h2>\n

                Legend: (~) Presenting author | (+) Equal Contributions | Bold Font<\/b>: Dr. Ko and Dr. Ko\u2019s Ph.D. Student or whom Dr. Ko is the primary advisor | Underline Font: Master\u2019s Student for whom Dr. Ko is the primary advisor | \u00a0\u2021 High School Student for whom Dr. Ko is the primary advisor<\/p>\n

                  \n
                1. Han, T.<\/b>~<\/b><\/span>, Taheri, Z.<\/b>, and Ko, H.<\/b>, \u201cPhysics-informed neural networks for semiconductor film deposition: A review\u201d, ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC\/CIE 2025)<\/i>, Anaheim, California, USA, August 17\u201320, 2025.<\/li>\n
                2. Elhambakhsh, F.<\/b>~<\/b><\/span>, Grandi, D., and Ko, H.<\/b>, \u201cA domain adaptation of large language models for classifying mechanical assembly components\u201d, ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC\/CIE 2025)<\/i>, Anaheim, California, USA, August 17\u201320, 2025.<\/li>\n
                3. Elhambakhsh, F.<\/b>~<\/b><\/span>, Lee, S.<\/b>, and Ko, H.<\/b>, \u201cGenerative multimodal multiscale data fusion for digital twins in aerosol jet electronics printing\u201d, ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC\/CIE 2025)<\/i>, Anaheim, California, USA, August 17\u201320, 2025.<\/li>\n
                4. Lee, S.<\/b>~<\/b><\/span>, and Ko, H.<\/b>, \u201cGenerative machine learning in adaptive control of dynamic manufacturing processes: A review\u201d, ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC\/CIE 2025)<\/i>, Anaheim, California, USA, August 17\u201320, 2025 , Paper No. V02BT02A029, ASME.<\/li>\n
                5. Pushparajan, R.~<\/b><\/span>, Ameri, F., and Ko, H.<\/b>, \u201cA comparative study of zero-shot multimodal retrieval-augmented generation for image labeling in manufacturing: GPT-4o-Mini vs. Llama 3.2 Vision\u201d, ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC\/CIE 2025)<\/i>, Anaheim, California, USA, August 17\u201320, 2025, Paper No. V02BT02A029, ASME.<\/li>\n
                6. Xie, J.~<\/b><\/span>, Safdar, M., Romascanu, A., Lu, Y., Ko, H.<\/b>, Yang, Z., and Zhao, Y.*, \u201cTowards reproducible machine learning-based process monitoring and quality prediction research for additive manufacturing\u201d, ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC\/CIE 2024)<\/i>, Washington, D.C., USA, August 25\u201328, 2024, , Paper No. V02AT02A033, ASME.<\/li>\n
                7. Lu, Y.~<\/b><\/span>, Xie, J., Safdar, M., Yang, Z., Ko, H.<\/b>, Shengyen, L., Elhambakhsh, F.<\/b>, and Zhao, Y., \u201cAn overarching quality evaluation framework for additive manufacturing digital twin\u201d, IEEE 20th International Conference on Automation Science and Engineering (CASE 2024)<\/i>, Bari, Italy, 2024, pp. 676\u2013682.<\/li>\n
                8. Lee, S.<\/b>~<\/b><\/span>, Ko, H.<\/b>, \u201cAM Transformer: A Koopman Theory-Based Transformer to Learn Additive Manufacturing Dynamics,\u201d ASME 2024 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Washington, DC, USA Aug. 28, 2024<\/li>\n
                9. Elhambakhsh, F.<\/b>~<\/b><\/span>, Ko, H.<\/b>, Yang, Z., Lu, Y., \u201cDenoising Diffusion Probabilistic Modeling Based Causal Data Fusion for Predictive Additive Manufacturing Digital Twins,\u201d ASME 2024 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Washington, DC, USA Aug. 28, 2024.<\/li>\n
                10. Ko, H.<\/b>~ <\/b><\/span>and Elhambakhsh, F.<\/b>, \u201cA Framework for Physics-guided Machine Learning to Extract and Transfer Process-structure-property Knowledge in Additive Manufacturing,\u201d 34th <\/span>Annual International Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference, Austin, Texas, USA, Aug. 14-16, 2023.<\/li>\n
                11. Elhambakhsh, F.<\/b>~<\/b><\/span>, and Ko, H.<\/b>, \u201cMachine-learning-driven Digital Twin Construction for Additive Manufacturing,\u201d 34th <\/span>Annual International Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference, Austin, Texas, USA, Aug. 14-16, 2023.<\/li>\n
                12. Ko, H.<\/b>~<\/b><\/span>, \u201cExplainable Machine Learning for Causality Analytics in Additive Manufacturing,\u201d 2022 INFORMS Annual Meeting, Indianapolis, IN, USA, Oct. 16-19, 2022.<\/li>\n
                13. Ko, H.<\/b>~<\/b><\/span>, Kim, J., Lu, Y., Shin, D., Yang, Z., and Oh, Y., \u201cSpatial-temporal Modeling Using Deep Learning for Real-Time Monitoring of Additive Manufacturing,\u201d ASME 2022 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, St. Louis, Missouri, USA, Aug. 14-17, 2022.<\/li>\n
                14. Ko, H.<\/b>~<\/b><\/span>, \u201cA Review on Machine Learning Interpretation for Additive Manufacturing,\u201d 33rd <\/span>Annual International Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference, Austin, Texas, USA, July. 25-27, 2022.<\/li>\n
                15. Ko, H.<\/b>~<\/b><\/span>, Lu, Y., Yang, Z., and Witherell, P., \u201cBeing Real-time in Process-structure-property Analytics for Additive Manufacturing using Machine Learning and Knowledge Representation,\u201d Mechanistic Machine Learning and Digital Twins for Computational Science Engineering & Technology, San Diego, CA, USA, Sept. 26-29, 2021.<\/li>\n
                16. Ko, H.<\/b>~<\/b><\/span>, 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.<\/li>\n
                17. Ko, H.<\/b>~<\/b><\/span>, Witherell, P., Rosen, D. W., and Kim, S., \u201cA Methodology for Modular Design Rule Representation and Ontology Development for Additive Manufacturing,\u201d 29th Annual International Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference, Austin, Texas, USA, Aug. 13-15, 2018.<\/li>\n
                18. Ko, H.<\/b>~ <\/b><\/span>and Moon, S. K., \u201cContradicting Functions with Affordances in Design for Additive Manufacturing,\u201d ASME 2017 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Cleveland, Ohio, USA, Aug. 6-9, 2017.<\/li>\n
                19. Ko, H.<\/b>~<\/b><\/span>, Moon, S. K., Wood, K. L., & Oh, H. S., \u201cAn Integration of Function- and Affordance-based Methods for Product-service System Utilizing Finite State Automata,\u201d 9th IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Bali, Indonesia, Dec. 4-7, 2016.<\/li>\n
                20. Ko, H.<\/b>~<\/b><\/span>, Sacco, E., Chua, Z. Y., Moon, S. K., and Otto, K., \u201cUser-centered Design for Additive Manufacturing as a Customization Strategy,\u201d 2nd International Conference on Progress in Additive Manufacturing (Pro-AM), Singapore, May. 16-19, 2016.<\/li>\n
                21. Ko, H.<\/b>~<\/b><\/span>, Moon, S. K., & Hwang, J., \u201cDesign for Additive Manufacturing in Customized Products,\u201d International Symposium on Green Manufacturing and Applications, Busan, South Korea, Jun. 24-28, 2014.<\/li>\n
                22. Ko, H.<\/b>~<\/b><\/span>, Moon, S. K., and Otto, K., \u201cCustomization Design Knowledge Representation to Support Additive Manufacturing,\u201d 1st International Conference on Progress in Additive Manufacturing (Pro-AM), Singapore, May. 26-28, 2014.<\/li>\n
                23. Ko, H.<\/b>~ <\/b><\/span>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.<\/li>\n
                24. Ko, H.<\/b>~ <\/b><\/span>and Shin, D. M., \u201cs-Scape: a Service Prototype Testing Space for Innovation of Service Quality Improvement,\u201d 2011 IIE Asian Conference AIIE, Shanghai, China, Jun. 10-12, 2011.<\/li>\n
                25. Ko, H.<\/b>~ <\/b><\/span>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.<\/li>\n<\/ol>\n

                  Service Activities (Selected):<\/h2>\n

                  International Standards<\/h3>\n
                    \n
                  • Chair, Industrial Ontology Foundry (IoF), Working Group \u2013 Topic: Machine Learning Life Cycle, Oct. 2025 \u2013 Present<\/li>\n
                  • Additive Manufacturing Technical Committee, Singapore, 2018 \u2013 2021<\/li>\n
                  • ASTM F42\/ISO TC 261 Additive Manufacturing Standards Meetings and Sub-committee Meetings, 2018 \u2013 2021<\/li>\n<\/ul>\n

                    Technical and Organizing Committee <\/b><\/b><\/h3>\n
                      \n
                    • Chair, IEEE CASE Hackathon, 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE),\u00a0Aug. 2025<\/li>\n
                    • Vice Chair, Artificial Intelligence and Machine Learning TC, CIE Division, ASME,\u00a0Aug. 2025 \u2013 Present<\/li>\n
                    • Secretary, Artificial Intelligence and Machine Learning TC, CIE Division, ASME,\u00a0Aug. 2024 \u2013 Aug. 2025<\/li>\n
                    • Organizer, 18th U.S.\u2013Korea Forum on Nanotechnology (NSF-supported Workshop), ASU,\u00a0Sept. 2024<\/li>\n
                    • Chair, Systems Engineering Information and Knowledge Management (SEIKM) TC, CIE Division, ASME,\u00a0Aug. 2023 \u2013 Aug. 2024<\/li>\n
                    • Program Chair, SEIKM TC, CIE Division, ASME,\u00a0Aug. 2022 \u2013 Aug. 2023<\/li>\n
                    • Committee Member, Hackathon Committee, CIE Division, ASME, Aug. 2022 \u2013 Present<\/li>\n
                    • Chair, Hackathon Committee, ASME,\u00a0Aug. 2021 \u2013 Aug. 2022<\/li>\n
                    • Member, Public Communication Subcommittee, Quality, Statistics, and Reliability (QSR) Council, INFORMS,\u00a0Jan. 2022<\/li>\n<\/ul>\n

                      Conference and Workshop Session <\/b><\/b><\/h3>\n
                        \n
                      • Panel Session Organizer and Moderator, Topic: Physics-Informed Machine Learning and Physical AI for Engineering, ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC-CIE),\u00a0August 2025<\/li>\n
                      • Session Organizer, Topic: Knowledge-Informed AI and Machine Learning for Engineering, ASME IDETC-CIE,\u00a02025 \u2013 Present<\/li>\n
                      • Session Organizer, Topic: Physics-Informed Machine Learning for Design and Advanced Manufacturing, ASME IDETC-CIE, 2023 \u2013 Present<\/li>\n
                      • Session Organizer, Topic: Design, Simulation, and Optimization for Additive Manufacturing, ASME IDETC-CIE. 2022 \u2013 Present<\/li>\n
                      • Session Organizer, Topic: Artificial Intelligence and Machine Learning in Design and Manufacturing, ASME IDETC-CIE, 2022 \u2013 Present<\/li>\n
                      • Session Organizer, Topic: Digital Twin Modeling and Analytics for Advanced Manufacturing, ASME IDETC-CIE, 2023 \u2013 Present<\/li>\n
                      • Workshop Organizer, Topic: Digital Twin for Manufacturing, ASME IDETC-CIE, 2025<\/li>\n
                      • Workshop Organizer, Topic: Machine Learning-Driven Digital Twin Construction for Advanced Manufacturing, IEEE CASE, 2024<\/li>\n
                      • Session Chair, Open Industrial Digital Eco System Summit, Feb. 2024<\/li>\n
                      • Session Organizer, Topic: Discovery of Causality in Physical Systems, Institute for Operations Research and the Management Sciences (INFORMS) Annual Meeting,\u00a0 Oct. 2022<\/li>\n
                      • Panel Session Organizer and Moderator, Topic: Digital Twin Modeling and Analytics for Advanced Manufacturing, ASME IDETC-CIE, August 2023<\/li>\n
                      • Session Organizer, Topic: Smart Manufacturing Informatics, ASME IDETC-CIE, 2022<\/li>\n
                      • Session Assistant, Interoperability Session, NIST\/ASM International Virtual Additive Manufacturing Data Management Workshop, NIST, Gaithersburg, Maryland, USA,\u00a0 Oct. 27 \u2013 28, 2020<\/li>\n
                      • Judge, QSR Best Case Study Paper Competition, INFORMS Annual Meeting, 2022<\/li>\n
                      • Judge, ASME-CIE Hackathon, CIE Division, ASME, Aug. 2021<\/li>\n<\/ul>\n

                        Editorial Activities <\/b><\/b><\/h3>\n
                          \n
                        • Editorial Board Member, International Journal of AI for Materials and Design, 2024 \u2013 Present<\/li>\n<\/ul>\n

                          Reviewer<\/h3>\n
                            \n
                          • Additive Manufacturing Journal<\/li>\n
                          • ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference<\/li>\n
                          • IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)<\/li>\n
                          • Journal of Mechanical Design<\/li>\n
                          • NIST Washington Editorial Review Board<\/li>\n
                          • Robotics and Computer-Integrated Manufacturing Journal<\/li>\n
                          • Smart and Sustainable Manufacturing Systems Journal<\/li>\n
                          • Virtual and Physical Prototyping Journal<\/li>\n<\/ul>\n

                            University<\/h3>\n
                              \n
                            • Member, New Faculty Advisory Council (NFAC), ASU, Fall 2025 – Present<\/li>\n
                            • Panelist, Panel Session for Ph.D. Course on Principles of Independent Research, ASU, Oct. 2024 & 2023<\/li>\n
                            • Member, Faculty Search Committee, The School of Manufacturing Systems and Networks (MSN), The Ira A. Fulton Schools of Engineering, ASU, Fall 2024 \u2013 Spring 2025<\/li>\n
                            • Member, Graduate Admission Committee, Data Science, Analytics, and Engineering Program, School of Computing and Augmented Intelligence (SCAI), ASU, Spring 2024<\/li>\n
                            • Member, Faculty Search Committee, The School of Manufacturing Systems and Networks (MSN), The Ira A. Fulton Schools of Engineering, ASU, Fall 2022 \u2013 Spring 2022<\/li>\n<\/ul>\n

                              Military<\/h3>\n

                              Military Police (MP), Korean Augmentation To the United States Army (KATUSA), South Korea<\/p>\n

                                \n
                              • Special Reaction Team, 94th MP Battalion, 8th MP Brigade, 8th US Army, Sep. 2005 \u2013 Oct. 2006<\/li>\n
                              • 142nd Military Police Company, 94th MP Battalion, 8th MP Brigade, 8th US Army, Dec. 2004 \u2013 Sep. 2005<\/li>\n<\/ul>\n\n\n

                                <\/p>\n","protected":false},"excerpt":{"rendered":"

                                Biography:  Dr. Hyunwoong Ko is an Assistant Professor in the School of Manufacturing Systems and Networks at the Ira A. Fulton Schools of Engineering, Arizona State University. He earned his Ph.D. in the School of Mechanical and Aerospace Engineering at Nanyang Technological University (NTU) in September 2019. During his Ph.D. studies and subsequent postdoctoral training,…<\/p>\n","protected":false},"author":161,"featured_media":39,"parent":0,"menu_order":12,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-13","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/faculty.engineering.asu.edu\/ko\/wp-json\/wp\/v2\/pages\/13","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.engineering.asu.edu\/ko\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/faculty.engineering.asu.edu\/ko\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.engineering.asu.edu\/ko\/wp-json\/wp\/v2\/users\/161"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.engineering.asu.edu\/ko\/wp-json\/wp\/v2\/comments?post=13"}],"version-history":[{"count":0,"href":"https:\/\/faculty.engineering.asu.edu\/ko\/wp-json\/wp\/v2\/pages\/13\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/faculty.engineering.asu.edu\/ko\/wp-json\/wp\/v2\/media\/39"}],"wp:attachment":[{"href":"https:\/\/faculty.engineering.asu.edu\/ko\/wp-json\/wp\/v2\/media?parent=13"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}