HKUST-BDR Joint Research Institute (HBJRI) is going to organize the Frontier Technologies Seminar Series in the headquarter of Bright Dream Robotics (BDR) in Shunde, Guangdong on 23 December 2019 (Mon). 3 faculty and researchers from HKUST (Bio attached) will give seminars on latest topics in Construction, Robotics, AI and Big Data, followed by a discussion session between members of HKUST and researchers of BDR.
Faculty and researchers of HKUST are welcome to attend the seminar, and get the opportunity to talk to the BDR executives and engineers face-to-face, find out what they are looking for, and explore potential ways of collaboration on mutually-interested research projects. Topics that BDR is interested in are as follows:
- Construction Robotics (typically, integration of control, actuation, and vision)
- AI & Big data
- Building Technologies & Intelligent Manufacturing
7 projects have already been selected in the first 2 rounds of call for proposal, and the next round will be announced in January 2020. If you would like to know more about the seminar or call for proposal, contact the institute at hbjri@ust.hk .
Topics of the Seminar
- "BIM: Enabling AI, IoT and Robotics for Smart Construction and Facility Management" by Prof. Jack CHENG
- "Data-Driven Computational Design, Acquiring and Understanding 3D visual data" by Prof. Sai Kit YEUNG
- "Crowdsourcing and data integration" by Dr. ZHANG Chen
Dr. Jack Cheng is currently an Associate Professor in the Department of Civil and Environmental Engineering, Director of the BIM Lab, Director of the RFID Center, and Associate Director of the GREAT Smart Cities Center at the Hong Kong University of Science and Technology (HKUST). He obtained his Bachelor degree with First Class Honors and his MPhil degree from HKUST, and then obtained his PhD degree from Stanford University. He has been teaching and conducting research related to building information modeling (BIM) and digital construction at HKUST since 2010. His research interests include BIM, 3D GIS, Internet of Things (IoT), computer vision, data mining, construction informatics and management, green buildings, and smart city. He has co-authored over 200 publications. He is currently the Chairman of the Hong Kong Construction Industry Council (CIC) BIM Standards (Phase 2) Task Force, President of American Society of Civil Engineers (ASCE) Greater China Section, Chairman of Autodesk Industry Advisory Board (AIAB), Honorary Treasurer of Hong Kong Institute of Building Information Modeling (HKIBIM), and Editor or Editorial Board Member of several international journals. He is a Professional Member of HKIBIM, a Member of ASCE, CIC Certified BIM Manager, and a Certified Carbon Auditor Professional (CAP). He has received the Construction Industry Outstanding Person Award in 2019 and Young BIMer of the Year in 2014 from the Hong Kong Construction Industry Council. He has received several paper awards as well.
Dr. Sai-Kit Yeung is currently an Associate Professor at the Division of Integrative Systems and Design (ISD) and the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST). Before joining HKUST, he was an Assistant Professor at the Singapore University of Technology and Design (SUTD) and founded the Vision, Graphics and Computational Design (VGD) Group. During his time at SUTD, he was also a Visiting Assistant Professor at the Computer Science Department at Stanford University and the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Prior to that, he had been a Postdoctoral Scholar in the Department of Mathematics, University of California, Los Angeles (UCLA). He was a visiting student at the Image Processing Research Group at UCLA in 2008 and the Image Sciences Institute, University Medical Center Utrecht, the Netherlands in 2007. He received his Ph.D. degree in Electronic and Computer Engineering, M.Phil. degree in Bioengineering, and B.Eng. degree (First Class Honors) from HKUST, respectively in 2009, 2005 and 2003.
Dr. Yeung's research expertise is in computer vision and computer graphics. His current research interests include 3D contents (scene and shape) reconstruction, understanding, modeling, and redesign, as well as computational design (using AI techniques for design and content generation), computational fabrication, visual understanding, and human-AI interaction.
Zhang Chen PhD is currently a Senior Manager of Big Data Institute, Hong Kong University of Science and Technology. He received BSc in Computer Studies from Macao Polytechnic Institute at 2010; MSc and PhD from HKUST at 2011 and 2015 respectively. His research interests include crowdsourcing, data mining and data integration. In recent years, Dr. Chen has published over 10 publications in significant journals such as Transactions on Knowledge and Data Engineering (TKDE). He also received Very Large Data Bases (VLDB) Excellent Demonstration Award for his publication in year 2014.
Enquiry: hkjri@ust.hk