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Jianxi Luo

Associate Professor

Email: 
Website: http://ddi.sutd.edu.sg
Research Areas:
Infocomm Applications, Design Science, Artificial Intelligence, Air, Land & Sea Transportation, Autonomous vehicles, Big Data, Complexity Science, Data Science, Deep Learning, Design Theory and Methodology, Digital Economy, Digitalisation, Engineering Design, Human-Machine Interfaces, Ideation, Machine Learning, Socio-Behavioural Science, Urban Mobility, Design Science and Engineering, System Science and Engineering, Innovation and Entrepreneurship, Computation, Economics and Public Policy

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 (Emerging Technologies) of IEEE Transactions on Engineering Management, Guest Editor of Technovation, and editorial board member of Research in Engineering Design, among other journals.

His research fuses design science, network 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 published >130 academic 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.

Education

  • 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 Service

  • Associate Editor, Design Science
  • Associate Editor, Artificial Intelligence for Engineering Design, Analysis and Manufacturing – AI EDAM
  • Department Editor, IEEE Transactions on Engineering Management
  • Guest Editor, Technovation
  • Editorial Board Member, Research in Engineering Design
  • Editorial Board Member, Journal of Enterprise Transformation
  • Editorial Board Member, International Journal of Innovation and Technology Management

Research Interests

  • Data-Driven Innovation, broadly defined
  • Artificial Intelligence for Creative Engineering Design for Innovation
  • Design Theory & Methodology: Knowledge Distance, Total Technology Space, Engineering Knowledge Base, Design-by-Analogy, Combinational Creativity, Design Creativity, Design Novelty, Design Cognition, Design Ideation, Concept Generation, Design Heuristics, Design Stimulation, Design Inspiration, Design Fixation, Divergent Thinking
  • Artificial Intelligence: Expert System Design, Knowledge Discovery, Knowledge Representation, Knowledge Combination, Knowledge Graph, Semantic Network, Natural Language Processing, Deep Learning, Patent Analytics
  • Complex Systems: Complexity Theory, Graph Theory, Network Analysis, System-of-Systems
  • Technology Entrepreneurship

Teaching & Education Service

Awards & Honors

  • 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, International Conference on Engineering Design, Milan, Italy, 2015
  • “Reviewers’ Favourite” Paper Award, 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

  • “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

Publications

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

Most Recent Publications

3 Strategies to Convince People That Your Startup Is Legit
Wei Zhang, Steven White, Liyan Wang, Jianxi Luo
Harvard Business Review, 2021

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), 2021

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

Data-Driven Intelligence on Innovation and Competition
Serhad Sarica, Bowen Yan, Jianxi Luo
Information Systems Management, 37(3), 198-212, 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

PhD Student Openings with Scholarships

I always welcome new PhD applicants. PhD Scholarship information can be found here. For interested applicants, please feel free to send me your CV and research interests via email, or submit the online quick inquiry form here. If your background, experience, skills, personal interests and career plan match with the DDI Lab, we will contact you in due course. Thanks.

2021-07-22T05:21:44+00:00