thumbnail image
  • Home
  • News
  • Awards
  • People
  • Publications
  • Innovation
  • Subscribe
    • News

      Professor Jianxi Luo and collaborators at Tsinghua University won Siliver Medal at the Geneva International Exhibition of Inventions, March 2022

      Professor Luo chairs the "Deep Learning and Design" Workshop, and serves on the Programme Committee of "Natural Language Processing and Design" Workshop at the 10th International Conference on Design Computing & Cognition (DCC'22), Glasgow, Scotland UK

      Call for Papers: AI EDAM thematic collection on "Applications of Artificial Intelligence and Cognitive Science in Design", to be published in Fall 2022

      Our paper entitled "Deep Learning for Technical Document Classification" is published on IEEE Transactions on Engineering Management, March 2022

      The paper entitled "Data-Driven Innovation: What Is It?" is published on IEEE Transactions on Engineering Management, January 2022

      Prof. Jianxi Luo participated in panel disscussion on "STEM Education in the Age of AI” at the Formula Edge Competition, STEM Plus, Hong Kong, December 10, 2021

      Prof. Jianxi Luo gave an invited talk on patent data for AI for design in the NIST Workshop on Data Wrangling for Engineering Design and Manufacturing, November 16, 2021

      Prof. Jianxi Luo is recognized in the list of top 2% scientists globally based on standardized citation impact, published by Stanford University & Elsevier.

      InnoGPS, namely Innovation Global Position System, is a visual expert system to aid design ideation and innovation

      Try InnoGPS

      TechNet, namely Technology Semantic Network, is a large knowledge base to enable NLP and AI in engineering

      Try TechNet

      Prof. Jianxi Luo gave the Methods in Focus seminar on "Guiding Data-Driven Design Ideation by Knowledge Distance" with the community of ISPIM - International Society for Professional Innovation Management, September 23, 2021

      Watch the Recording

      Our paper, "Machine Learning-Based Design Concept Evaluation," ASME. J. Mech. Des. 2020, 142(3): 031113, is chosen as a Winner of the 2020 Journal of Mechanical Design "Editors' Choice Award", August 2021

      Semantic Networks for Engineering Design: State of the Art and Future Directions is published in the special issue on "Artificial Intelligence and Engineering Design" of ASME Journal of Mechanical Design, August 2021

      Data-Driven Design-by-Analogy: State of the Art and Future Directions is published in the special issue on "Artificial Intelligence and Engineering Design" of ASME Journal of Mechanical Design, June 2021

      Harvard Business Review publishes 3 Strateiges to Convience People Your Startup Is Legit, co-authored by Prof. Jianxi Luo, June 2021

      Prof. Wim Vanhaverbeke, gave a DDI seminar on "Disruptive Power of Digital Technologies and Strategic Need for Innovation Ecosystems", 2 June, 2021.

      Watch the Recording

      Call for Papers: Technovation special issue on "Beyond the Data Fads: Consequences of Big Data to Contemporary Innovation and Technology Management", June 1, 2021

      Professor Jianxi Luo gave an invited talk on "Data-Driven Innovation" with the Department of Engineering Management and Systems Engineering at George Washington University, United States, April 9, 2021

      Dr. Seng-Beng Ho, Senior Scientist of A*STAR Dept of Social & Cognitive Computing, gave a DDI seminar on "The View from the 1980s: An AI Odyssey from the Past to the Future", 7 April, 2021

      "Guiding Data-Driven Design Ideation by Knowledge Distance" paper is published in the journal Knowledge-Based Systems, March, 2021

      Lab alumnus Dr. Serhad Sarica joined A*STAR Institute of High Performance Computing as Scientist, February 2021

      "Idea Generation with Technology Semantic Network" will appear in the journal Artificial Intelligence for Engineering Design, Analysis and Manufacturing, February, 2021

      "Forecasting COVID-19 Pandemic: Unknown Unknowns & Predictive Monitoring" paper is published in the journal Technological Forecasting & Social Change, January, 2021

      Dr. Serhad Sarica successfully defended his PhD thesis - "Technology Semantic Network: A Knowledge Base to Enable Artificial Intelligence Applications in Engineering Design", on December 18, 2020

      Prof. Jianxi Luo gave an invited talk on the Tactics for COVID-19 Pandemic Forecasting at IEEE InTech Forum of IEEE Computer Society, 2 December, 2020

      Prof. Jianxi Luo appeared on TIMES Now India, RT UK, Ecos del Combeima of Colombia, Fuji TV Japan, Brazilian TV Network, Abu Dhabi TV, Channel News Asia among other media on data-driven prediction of COVID-19, May 2020

      Lab alumnus Dr. Bowen Yan joined HP Enterprise as Data Scientist, February 2020

      Data-Driven Intelligence on Innovation and Competition paper is published on Information Systems Management, January 2020

      TechNet: Technology Semantic Network paper is published on Expert Systems with Applications, January 2020

      Our team won the "Best Paper Award" at 31st International Conference on Design Theory & Methodology, Anaheim, California, August, 2019

      Dr. Binyang Song successfully defended her PhD thesis entitled "Data-Driven Design: Patent Data and Network Analysis", July 3, 2019

      Dr. Yuejun He successfully defended her PhD thesis entitled "Combinational Creativity: Theories, Methods and Tools", July 2, 2019

      Lab alumnus Ms. Izabela Witoszko joined Semantic Machines (now part of Microsoft) as Product Manager, February 2019

      Prof. Jianxi Luo received SUTD's "Excellence in Research" Award, 2018

      Lab alumnus Dr. Giorgio Triulzi joined Universidad de los Andes (Bogotá, Colombia) as Assistant Professor of Management, January 2018

      Lab alumnus Dr. Srinivasan Venkataraman joined Indian Institute of Technology (Delhi) as Asssitant Professor, October 2017

      Lab alumnus Dr. Jeff Alstott joined IARPA as Program Manager and Director of National Intelligence Office (Washington DC, USA), September 2017

      Lab alumnus Dr. David Song joined Monash University as Asssitant Professor, November 2015

    © 2013-2022 All Rights Reserved, SUTD Data-Driven Innovation Lab

    Cookie Use
    We use cookies to ensure a smooth browsing experience. By continuing we assume you accept the use of cookies.
    Learn More