Prof. Saman Halgamuge (Fellow of IEEE, IET and AAIA)
University of Melbourne, Australia
Biography: Prof Saman Halgamuge is a Fellow of IEEE, a Professor in the Department of Mechanical Engineering of School of Electrical, Mechanical and Infrastructure Engineering. He is also one of the IEEE Distinguished Speakers appointed for the theme Computational Intelligence. He has previously served as Director/Head, Research School of Engineering of the Australian National University (2016-18) and as a member of Australian Research Council (ARC) College of Experts for Engineering, Information and Computing Sciences (2016-18). He was the founding Director of the PhD training centre Melbourne India Postgraduate Program (MIPP) of University of Melbourne and contributed as Associate Dean (2013-15) and Assistant Dean (2008-13) in International Engagement in the Melbourne School of Engineering. He is also a member of various International advisory committees including the Visiting Committee of Chinese University of Hong Kong (2018) and Research Advisory Council of University of Technology PETRONAS (2015-18). He is an honorary Professor of Australian National University and an honorary member of ANU Energy Change Institute. His research interests are in AI and Data Engineering including Inclusive Learning algorithms and Active data gathering sensor systems, Unsupervised Deep Learning, Big Data Analytics focusing on applications in Mechanical Engineering, Energy and Bioengineering. These applications vary from Sensor Networks in Irrigation, Smart Grids, and Sustainable Energy generation to Bioinformatics and Neuro-Engineering. He supervised 50 PhD students as the primary supervisor. He has also been a keynote speaker for 40 research conferences. His citations and h-factor can be extracted from is https://scholar.google.com.au/citations?hl=en&user=9cafqywAAAAJ&view_op=list_works.
Speech Title: Computer Vision: Fakes and Anti-Fakes
Abstract: In this keynote, we explore the exciting possibilities of computer vision enabled by the power of 21st century AI. We will discuss two directions of AI that our research group is focusing on, which can enable machines to learn and reason fast. Additionally, we will describe how these AI methods can be applied to deep fake detection.
Prof. Hongbin Ma
Beijing Institute of Technology, China
Biography: Dr Hongbin Ma has been a Professor at the School of Automation, Beijing Institute of Technology since he joined Beijing Institute of Technology in 2009. He received his bachelor degree from Zhengzhou University in 2001 and doctoral degree from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences in 2006. He joined Bell Labs Research Center at Beijing in March of 2006 and later joined Temasek Laboratories, National University of Singapore in August 2006 as a Research Scientist. His research focuses on adaptation, learning and recognition, especially adaptive estimation and control, as well as their applications in robots, smart cars, and UAVs. He is also a senior member of IEEE and Automation Society of China. Dr. Ma is the principle investigator of several scientific projects supported by National Natural Science Foundation (NSFC), the programme of New Century Excellent Talents in University by Ministry of Education, the programme of Beijing Outstanding Talents Project, and so on. He also won several awards, such as Wu Wenjun Artificial Intelligence Award, Outstanding Research Work Award, ICIRA Recognition Award, ICMA best paper award, ISCIIA best paper award, etc. Dr. Ma has published more than 100 academic papers in reputable journals or conferences. And under his supervision, a dozen of students have performed well in scientific research, innovation contests, and are establishing themselves.
Speech Title: Adaptive Machine Vision with 2D/3D Fusion
Abstract: Machine vision plays critical role in industrial applications ranging from object classification and defect detection to robot manipulation. However, due to various uncertainties in lighting, materials, crarfting, and so on, it is usually not easy to resolve real industrial chalenges by directly applying computer vision algorithms. In this talk an approach of adaptive machine vision by effectively fusing 2D and 3D data will be introduced and illustrated by several examples.
Prof. Wenlong Li
Huazhong University of Science and Technology
Biography: Wenlong Li received the B.S. degree in Mechanical Engineering and Automation from Xi’an Jiaotong University, Xi’an, China, in 2004, the Ph.D. degree in Mechatronic Engineering from Huazhong University of Science and Technology (HUST), Wuhan, China, in 2010, and the Postdoctoral research in Control Engineering also from HUST in 2012. Now he is a Professor at Huazhong University of Science and Technology, Wuhan, China. His current research interests include visual measurement and robotic machining. He has published 1 book and more than 50 papers, and authorized more than 40 invention patents/software copyrights. The main published journals include the IEEE T. Robotics, IEEE T. Cybernetic, IEEE T. Mechatronics, IEEE T. ASE, Pattern Recognition, Journal of Mechanical Engineering and so on. He has been appointed the Changjiang Distinguished Professorship - the highest honorary professorship in China, by the Ministry of Education. His research achievements have been successfully applied to the precision inspection and robotic machining in the fields of aerospace, astronautics, nuclear power and automobile.