Jianxi Luo

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Associate Professor

Website: http://ddi.sutd.edu.sg

Pillar / Cluster: Design and Artificial Intelligence, Engineering Product Development

Jianxi Luo is a tenured Associate Professor with SUTD, Director of Data-Driven Innovation Lab. and former Director of SUTD Technology Entrepreneurship Programme. Prof. Luo holds a PhD in Engineering Systems (Technology Management and Policy track) and S.M. degree in Technology Policy from Massachusetts Institute of Technology, and M.S. in Automotive and B.E. in Thermal Engineering from Tsinghua University. He had been a faculty member at New York University (2011-2012), visiting scholar at Columbia University (2011-2012) and University of Cambridge (2005). He was Chair of INFORMS Technology Innovation Management & Entrepreneurship Section (2015-2016). He is currently Associate Editor of Design Science, Associate Editor of Artificial Intelligence for Engineering Design, Analysis and Manufacturing – AI EDAM, Department Editor of IEEE Transactions on Engineering Management, Guest Editor of Technovation, and editorial board member of Research in Engineering Design.

His research fuses design science, system science and artificial intelligence to push the frontiers of data-driven design and creative artificial intelligence, for more informed, inspired and creative decisions in engineering design, innovation management and technology policy. He has (co-)authored >130 articles and given >80 invited talks at >50 universities, companies and government agencies around the world. His research received over a dozen awards from Design Society, ASME Design Engineering Division, INFORMS, Complex System Society among others. He received SUTD “Excellence in Research” Award in 2018. He is ranked among World’s Top 2% Scientists by Stanford University and Elsevier.


  • Massachusetts Institute of Technology
    • Ph.D. (Engineering Systems); S.M. (Technology Policy)
  • Tsinghua University
    • M.S. (Mobility & Vehicle Engineering); B.E. (Energy & Power Engineering)

Editorial Boards

  • Associate Editor, Design Science
  • Associate Editor, Artificial Intelligence for Engineering Design, Analysis and Manufacturing – AI EDAM
  • Department Editor, IEEE Transactions on Engineering Management
    • Covering Design & Emerging Technologies departments
  • Guest Editor, Technovation
    • Editing a special issue on managing data-driven innovation and data-based innovation
  • Editorial Board Member, Research in Engineering Design

Research Interests

  • Data-Driven Innovation: What Is It?
  • Design Theory & Methodology
  • Artificial Intelligence
  • Complex Systems
  • Entrepreneurship

Teaching & Education Service

Awards & Honors

  • Silver Medal, Geneva International Exhibition of Inventions, 2022
  • Top 2% Scientists Globally by Standardized Citation Impact, Stanford University & Elsevier B.V., 2021
  • “Reviewers’ Favourite Paper” Award, 23rd International Conference on Engineering Design (ICED), Gothenburg, Sweden, 2021
  • Editors’ Choice Award, ASME Journal of Mechanical Design, 2020
  • Best Paper Award, International Design Engineering Technical Conferences / Computers and Information in Engineering Conference (IDETC/CIE), Anaheim, California, 2019
  • Innovative Applications in Analytics Award Finalist, Sponsored by Caterpillar, INFORMS Business Analytics Conference, Austin, Texas, 2019
  • Best Paper Award Nomination, Hawaii International Conference on System Science (HICSS), Maui, Hawaii, 2019
  • Excellence in Research Award, Singapore University of Technology & Design, 2018
  • SG Good Design Mark, Singapore Design Business Chamber, 2017
  • Richard R. Nelson Prize Finalist, 2016
  • Best Paper Award, Academy of Innovation and Entrepreneurship, Sydney, Australia, 2016
  • Best Poster Award, International Conference on Complex Systems, Phoenix, Arizona, 2015
  • “Reviewers’ Favourite Paper” Award, 20th International Conference on Engineering Design, Milan, Italy, 2015
  • “Reviewers’ Favourite Paper” Award, 19th International Conference on Engineering Design, Seoul, Korea, 2013
  • “Editor’s Choice”, Industrial and Corporate Change, 2012
  • Best Dissertation Award (Runner-Up), INFORMS Technology, Innovation Management and Entrepreneurship Section, 2011
  • Best Paper Award (2nd Place), Annual Conference of Chinese Scholars Association in Management Science & Engineering, 2010
  • Alfred A.H. Keil Fellowship for Wiser Uses of Science and Technology, 2004
  • China International Marine Containers (Group) Scholarship, 2003
  • Mercedes-Benz Scholarship, 2002

Recent Invited Talks

  • “From Patent Database to Knowledge Base for Artificial Intelligence”, National Institute of Standards and Technology (NIST), United States, November 16, 2021
  • “Data-Driven Design Ideation by Knowledge Distance”, International Society for Professional Innovation Management (ISPIM), September 23, 2021
  • “Data-Driven Innovation”, George Washington University, Department of Engineering Management & System Engineering, April 9, 2021
  • “Data-Driven Innovation”, Keynote Speech, 1st International Symposium on Intelligence Design (JAIST 30 Years Anniversary Event), Japan Advanced Institute of Science and Technology, March 14, 2021
  • “Toward Creative AI for Innovation”, Enterprise Singapore Venture Building Program, January 4, 2021
  • “COVID-19 Pandemic Forecasting: The Uncertainty Challenge and Predictive Monitoring”, IEEE InTech Forum, IEEE Computer Society, December 2
  • “Data-Driven Innovation”, Keynote Speech, 13th International Workshop on Design Theory, Paris, France, January, 2020
  • “Journey to Creative Artificial Intelligence”, Invited Talk, A*STAR Artificial Intelligence Program, Singapore, January, 2020
  • “Networks: Heterogeneity, Evolvability and Innovation”, Invited Talk, Institute for New Economic Thinking, Hanoi, Vietnam, August, 2019
  • “Creative Artificial Intellignece”, Invited Talk, Centre for Brain-Inspired Computing Research, Tsinghua University, Beijing, China, July, 2020
  • “Computer-Aided Ideation for Design”, Keynote Speech, 17th Annual International CAD Conference, Singapore, June, 2019
  • “Computer-Aided Ideation”, Mengshi Autonomous Vehicle Resarch Lab, Tsinghua University, Beijing, China, May, 2019
  • “Data-Driven Innovation”, MIT Ideation Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA, April, 2019
  • “Data-Driven Innovation”, State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China, June, 2018
  • “Innovate InnoGPS to Innovate”, Keynote Speech, DSTA Innovation Day, Singapore Expo, October, 2017
  • “Data-Driven Innovation”, Institute of Innovation and Entrepreneurship, Zhejiang University, Hangzhou, China, June, 2017


Theme 1: Design & Artificial Intelligence
Theme 2: Technology Management & Innovation & Entrepreneurship
Theme 3: Complex Systems & Networks

Most Recent Publications

Data-Driven Innovation: What Is It
Jianxi Luo
IEEE Transactions on Engineering Management, Forthcoming, 2022

Deep Learning for Technical Document Classification
Jiang, S., Hu, J., Magee, C., Luo, J.
IEEE Transactions on Engineering Management, Forthcoming, 2022

Engineering Knowledge Graph from Patent Database
L. Siddharth, Lucienne T. M. Blessing, Kristin L. Wood, Jianxi Luo
Journal of Computing and Information Science in Engineering, 22(2): 021008, 2022

Data-Driven Design-by-Analogy: State of the Art and Future Directions
Shuo Jiang, Jie Hu, Kristin Wood, Jianxi Luo
Journal of Mechanical Design (Special Issue on Artificial Intelligence and Engineering Design), 144(2): 020802, 2022

Semantic Networks for Engineering Design: State-of-the-Art and Future Directions
Ji Han, Serhad Sarica, Feng Shi, Jianxi Luo
Journal of Mechanical Design
(Special Issue on Artificial Intelligence and Engineering Design), 144(2): 020801, 2022

Guiding Data-Driven Design Ideation by Knowledge Distance
Jianxi Luo, Serhad Sarica, Kristin Wood
Knowledge-Based Systems, 218, 106873, 2021

Idea Generation with Technology Semantic Network
Serhad Sarica, Binyang Song, Jianxi Luo, Kristin Wood
Artificial Intelligence for Engineering Design, Analysis and Manufacturing. Accepted for Publication, In press, 2021

Deriving Design Feature Vectors for Patent Images with Convolutional Neural Network
Shuo Jiang, Jie Hu, Jianxi Luo, Christopher L Magee
Journal of Mechanical Design, 143(6), 061405, 2021

TechNet: Technology Semantic Network
Serhad Sarica, Jianxi Luo, Kristin Wood
Expert Systems with Applications, 142, 112995, 2020

Machine Learning Based Design Concept Evaluation
Bradley Camburn , Yuejun He , Sujithra Raviselvam , Jianxi Luo, Kristin Wood
Journal of Mechanical Design, 142(3), 031113, 2020

More on the Data-Driven Innovation Lab website