Speakers of DMNLP 2024
Prof. Xudong Jiang
Fellow IEEE
Nanyang Technological University, Singapore
Biography: Xudong Jiangreceived the B.Eng. and M.Eng. from the University of Electronic Science and Technology of China (UESTC), and the Ph.D. degree from Helmut Schmidt University, Hamburg, Germany. From 1986 to 1993, he was a Lecturer with UESTC, where he received two Science and Technology Awards from the Ministry for Electronic Industry of China. From 1998 to 2004, he was with the Institute for Infocomm Research, A-Star, Singapore, as a Lead Scientist and the Head of the Biometrics Laboratory, where he developed a system that achieved the most efficiency and the second most accuracy at the International Fingerprint Verification Competition in 2000. He joined Nanyang Technological University (NTU), Singapore, as a Faculty Member, in 2004, and served as the Director of the Centre for Information Security from 2005 to 2011. Currently, he is a professor in NTU. Dr Jiang holds 7 patents and has authored over 150 papers with over 40 papers in the IEEE journals, including 6 papers in IEEE Transactions on Pattern Analysis and Machine Intelligence, 11 papers in IEEE Transactions on Image Processing and 17 papers in Pattern Recognition. Three of his papers have been listed as the top 1% highly cited papers in the academic field of Engineering by Essential Science Indicators. He served as IFS TC Member of the IEEE Signal Processing Society from 2015 to 2017, Associate Editor for IEEE Signal Processing Letter from 2014 to 2018, Associate Editor for IEEE Transactions on Image Processing from 2016 to 2020 and the founding editorial board member for IET Biometrics form 2012 to 2019. Dr Jiang is currently an IEEE Fellow and serves as Senior Area Editor for IEEE Transactions on Image Processing and Editor-in-Chief for IET Biometrics. His current research interests include image processing, pattern recognition, computer vision, machine learning, and biometrics.
Prof. Henry Leung
Fellow IEEE, Fellow SPIE
University of Calgary, Canada
Biography: Before joining the University of Calgary, Dr. Henry Leung was with the Department of National Defence (DND) of Canada as a defence scientist to conduct research and development of decision support systems, radar signal processing and data fusion. He was appointed as the national leader to represent Canada for the TTCP cooperative program on radar data processing and sensor fusion. His current research includes data mining, information fusion, machine learning, nonlinear dynamics, decision support, robotics, sensor networks and intern of things. He has published extensively in the open literature on these topics. He has over 240 journal papers and over 200 refereed conference papers. He also holds more than 15 patents. He is also a visiting professor of the Shanghau JiaoTong University, PR China (2017-2020) and a HaiTien academic visiting professor of the Dalian University of Technology, PR China (20180-2020). Dr. Leung is the Topical Editor of the International Journal of Advanced Robotic Systems on Robotic Sensors. He is the editor of the Springer book series on “Information Fusion and Data Science”. He is currently the associate editor of various journals such as IEEE Trams. Aerospace and Electronic Systems, IEEE Circuits and System Magazine, IEICE Trans. on Nonlinear Theory and Applications. He was the chair of the Nonlinear Circuits and Systems of the IEEE Circuit and System Society and has served on the program committee, organizing committee, track chairs for various conferences. He has also served as guest editors for various journals such as “Intelligent Transportation Systems” for the International Journal on Information Fusion, “Cognitive Sensor Networks” and “Deep Learning for Multi-sensor Multi-source Information Fusion” for the IEEE Sensor Journal. He is a Fellow of IEEE and SPIE.
Prof. Yanan Sun
Sichuan University, China
Biography: Yanan Sun (Member, IEEE) received the Ph.D. degree in computer science from Sichuan University, Chengdu, China, in 2017. He is currently a Professor with the College of Computer Science, Sichuan University. He designed the indicator of GPU Day, which has been widely used among the community of neural architecture search. He was ranked as World's Top 2% Scientists 2021 collectively released by Stanford University, Stanford, CA, USA, and Springer. His research interests include evolutionary computation, neural networks, and their applications on neural architecture search.
Prof. Chuan-Ming Liu
National Taipei University of Technology, Taiwan
Biography: Dr. Chuan-Ming Liu is a professor in the Department of Computer Science and Information Engineering (CSIE), National Taipei University of Technology (Taipei Tech), TAIWAN, where he was the Department Chair from 2013-2017. He received his Ph.D. in Computer Science from Purdue University in 2002 and joined the CSIE Department in Taipei Tech in the spring of 2003. In 2010 and 2011, he has held visiting appointments with Auburn University, Auburn, AL, USA, and the Beijing Institute of Technology, Beijing, China. He has services in many journals, conferences and societies as well as published more than 100 papers in many prestigious journals and international conferences. Dr. Liu was also the co-recipients of the best paper awards in many conferences, including ICUFN 2015 Excellent Paper Award, ICS 2016 Outstanding Paper Award, MC 2017 Best Poster Award, WOCC 2018 Best Paper Award, MC 2019 Best Poster Award, MC 2021 Best Paper Award, and WOCC 2021 AAEE Best Paper Award. His current research interests include big data management and processing, uncertain data management, data science, spatial data processing, data streams, ad-hoc and sensor networks, location-based services.
Prof. Angela Lee Siew Hoong
Sunway University, Malaysia
Biography: Professor Dr Angela Lee Siew Hoong is an Associate Dean (Employability) and Head of Department Computing and Information Systems at the School of Engineering and Technology, Sunway University, Malaysia. Prof Angela Lee has been developing data science curriculum more than 10 years and she is the key person to introduce Data Science degree at Sunway University. She was recently awarded the National Outstanding Educator Award and SAS Global Forum Distinguished Educator Award for Asia Pacific Category. She regularly speaks at data science conferences. Angela has developed many innovative ways to use analytics and data science tools from the most elementary level to advanced analytics. She teaches Social Media Analytics, Visual Analytics, Advanced Analytics and Business Intelligence and has authored many published international journals in the area of churn analytics, sentiment analysis and predictive analytics.