News
The Special Issue on "Innovation in Design Processes" of IEEE Transactions on Engineering Management co-edited by Prof. Jianxi Luo has been published in August 2022
Professor Jianxi Luo chairs "Deep Learning and Design" workshop at the 10th International Conference on Design Computing & Cognition (DCC'22), Glasgow, UK, July 2, 2022
Professor Jianxi Luo gave an invited talk to Autodesk Research (global), June 8, 2022
Professor Jianxi Luo and collaborators at Tsinghua University won Siliver Medal at the Geneva International Exhibition of Inventions, March 2022
Call for Papers: AI EDAM thematic collection on "Applications of Artificial Intelligence and Cognitive Science in Design", to be published in Fall 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
TechNet, namely Technology Semantic Network, is a large knowledge base to enable NLP and AI in engineering
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
Our paper on Machine Learning-Based Design Concept Evaluation won Journal of Mechanical Design's 2020 "Editors' Choice Award", August 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.
Call for Papers: Technovation special issue on "Beyond the Data Fads: Consequences of Big Data to Contemporary Innovation and Technology Management", June 1, 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
Lab alumnus Dr. Serhad Sarica joined A*STAR Institute of High Performance Computing as Scientist, February 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
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
Lab alumnus Dr. Giorgio Triulzi joined Universidad de los Andes (Bogotá, Colombia) as Assistant Professor of Management, January 2018
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
