SPEAKERS |
Prof. Hongbin Ma, School of Automation, Beijing Institute of Technology, China
Bio:
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 Beijing Natural Science Award, Wu Wenjun Artificial Intelligence Award, Outstanding Research Work 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: Intelligent Grinding Robot with Adaptive Machine Vision
Abstract:Grinding of casting products is important in industry. There are challenges in developing an intelligent grinding robot which is capable of coping with different casting products since it is impossible to operate the products with the same robot program. To cope with the challenges, adaptive machine vision fusing 2D and 3D technologies will be employed and various algorithms are designed in the whole process of automatic grinding with least assistance of human worker. And one intelligent grinding robot was designed towards automation of grinding casting products.
Professor Atsushi Inoue, Kyushu Institute of Tech, Japan
Bio:
Professor Atsushi Inoue has extensive experiences in both academe and industries in USA and Japan, such as Motorola Inc. (USA), Hitachi Ltd. (Japan), and Carnegie Mellon CyLab Japan (Japan & USA). He is closely familiar with many programming langues, open source technologies (LINUX), and a single board computer (Raspberry Pi).
As a full professor, he has taught and advised students in Computer Science, Information Systems, and Data Sciences at all levels from fundamental undergraduate to advanced graduate by taking research driven and hands-on, experiential approaches. He has advised numerous students and many of them are successful in their career development, e.g. college faculty, nationally recognized consulting firms, and global enterprises — Battelle Memorial Institute, Raytheon, Caterpillar, Lockheed-Martin, Emaars (UAE), Microsoft, Facebook, Adobe, to name a few. He has held several fellowships and visiting professorships at reputable research institutes in France (LIP6), USA (UC Berkeley & CMU), Kazakhstan (KBTU & KazNU) and Japan (Lab. for Intn'l Fuzzy Engineering, Osaka Prefecture University & Chuo University). He is active and well-recognized in relevant international academic societies in the world for his technical contributions and executive leaderships.
Currently, he is focusing on his digital entrepreneurship in Artificial Intelligence and Blockchain while leading Intelligent Informatics/Innovative Integratica Initiative (I3). He is enthusiastically promoting SBC, e.g. Raspberry Pi as a platform of PoC and MVP for various digital entrepreneurship and that of hands-on, experiential learning.
He earned his Ph.D. in Computer Science and Engineering at the University of Cincinnati (USA). He also received training and was successfully certified in Information Security at Carnegie Mellon University (USA), and in Entrepreneurship at the University of Florida (USA).
Professor Shuwen Xu, Xidian University, China
Bio:
In 2002, Professor Shuwen Xu was admitted to the electronics and information engineering major (national first-class undergraduate major) of the School of Electronic Engineering of Xi'an University of Electronic Science and Technology, and in 2006, he was qualified to enter the Institute of Electronics of Xi'an University of Electronic Science and Technology for master's and doctoral studies in information and communication engineering (double first-class disciplines). In 2011, after graduating from the doctoral program, he stayed at the university and is currently a professor and doctoral supervisor of Xi'an University of Electronic Science and Technology. At present, it has completed more than 80 SCI retrieval papers, more than 30 EI retrieval papers, authorized 30 national patents, accepted more than 10, and authorized 2 software copyrights. The representative papers were published in IEEE Transaction on Aerospace Electronic System, Signal processing, Digital Signal processing, Electronics letters, IET radar, sonar and navigation, Chinese science and other internationally renowned important academic journals. Served as the branch chairman of several international conferences. He has presided over a number of NSFC general and youth projects and a number of national level projects, with a project funding of more than 20 million in the past three years. At present, he is the reviewer of several international academic journals, such as IEEE Transaction on Aerospace Electronic System, Electronics letters, IET radar, sonar and navigation. At present, the main research interests include: target detection, weak target detection in complex clutter background, time-frequency analysis, etc.