Ljiljana Trajkovic received the Dipl. Ing. degree from University of Pristina, Yugoslavia, in 1974, the M.Sc. degrees in electrical engineering and computer engineering from Syracuse University, Syracuse, NY, in 1979 and 1981, respectively, and the Ph.D. degree in electrical engineering from University of California at Los Angeles, in 1986.
She is currently a Professor in the School of Engineering Science at Simon Fraser University, Burnaby, British Columbia, Canada. From 1995 to 1997, she was a National Science Foundation (NSF) Visiting Professor in the Electrical Engineering and Computer Sciences Department, University of California, Berkeley. She was a Research Scientist at Bell Communications Research, Morristown, NJ, from 1990 to 1997, and a Member of the Technical Staff at AT&T Bell Laboratories, Murray Hill, NJ, from 1988 to 1990. Her research interests include high-performance communication networks, control of communication systems, computer-aided circuit analysis and design, and theory of nonlinear circuits and dynamical systems.
Dr. Trajkovic serves as IEEE Division X Delegate-Elect/Director-Elect (2018), IEEE Division X Delegate/Director (2019–2020). She serves as Senior Past President (2018–2019) of the IEEE Systems, Man, and Cybernetics Society and served as Junior Past President (2016–2017), President (2014–2015), President-Elect (2013), Vice President Publications (2012–2013, 2010–2011), Vice President Long-Range Planning and Finance (2008–2009), and a Member at Large of its Board of Governors (2004–2006). She served as 2007 President of the IEEE Circuits and Systems Society. She was a member of the Board of Governors of the IEEE Circuits and Systems Society (2001–2003, 2004–2005). She is Chair of the IEEE Circuits and Systems Society joint Chapter of the Vancouver/Victoria Sections. She was Chair of the IEEE Technical Committee on Nonlinear Circuits and Systems (1998). She is General Co-Chair of SMC 2020 and SMC 2018 Workshop on BMI Systems and served as General Co-Chair of SMC 2016 and HPSR 2014, Special Sessions Co-Chair of SMC 2017, Technical Program Chair of SMC 2017 and SMC 2016 Workshops on BMI Systems, Technical Program Co-Chair of ISCAS 2005, and Technical Program Chair and Vice General Co-Chair of ISCAS 2004. She served as an Associate Editor of the IEEE Transactions on Circuits and Systems (Part I) (2004–2005, 1993–1995), the IEEE Transactions on Circuits and Systems (Part II) (2018–, 1999–2001, 2002-2003), and the IEEE Circuits and Systems Magazine (2001–2003). She was a Distinguished Lecturer of the IEEE Circuits and Systems Society (2010–2011, 2002–2003). She is a Professional Member of IEEE-HKN and a Fellow of the IEEE.
Title of Speech: Machine Learning Algorithms for Classifying Network Anomalies and Intrusions
Abstract: Detecting, analyzing, and defending against network anomalies and intrusions is an important topic in cyber security. Various detection systems have been designed using machine learning techniques that help detect malicious intentions of network users. We describe several deep and broad learning machine learning algorithms used to classify known network anomalies and intrusions. The developed models are trained and tested using datasets that contain information about anomalies, intrusions, and regular network connections. The algorithms are used to classify anomalous and intrusion classes as well as regular data and are compared based on performance metrics such as accuracy and F-Score.
Professor Er Meng Joo is currently a Full Professor in Electrical and Electronic Engineering, Nanyang Technological University, Singapore. He served as the Founding Director of Renaissance Engineering Programme and an elected member of the NTU Advisory Board and from 2009 to 2012. He served as a member of the NTU Senate Steering Committee from 2010 to 2012.
He has authored five books entitled “Dynamic Fuzzy Neural Networks: Architectures, Algorithms and Applications” and “Engineering Mathematics with Real-World Applications” published by McGraw Hill in 2003 and 2005 respectively, and “Theory and Novel Applications of Machine Learning” published by In-Tech in 2009, “New Trends in Technology: Control, Management, Computational Intelligence and Network Systems” and “New Trends in Technology: Devices, Computer, Communication and Industrial Systems”, both published by SCIYO, 18 book chapters and more than 500 refereed journal and conference papers in his research areas of interest.
Professor Er was bestowed the Web of Science Top 1 % Best Cited Paper and the Elsevier Top 20 Best Cited Paper Award in 2007 and 2008 respectively. In recognition of the significant and impactful contributions to Singapore’s development by his research projects, Professor Er won the Institution of Engineers, Singapore (IES) Prestigious Engineering Achievement Award twice (2011 and 2015). He is also the only dual winner in Singapore IES Prestigious Publication Award in Application (1996) and IES Prestigious Publication Award in Theory (2001). Under his leadership, the NTU Team emerged first runner-up in the Freescale Technology Forum Design Challenge 2008. He received the Teacher of the Year Award for the School of EEE in 1999, School of EEE Year 2 Teaching Excellence Award in 2008, the Most Zealous Professor of the Year Award in 2009 and the Outstanding Mentor Award in 2014. He also received the Best Session Presentation Award at the World Congress on Computational Intelligence in 2006, Best Paper Award (First Prize) at the International Automatic Control Conference 2016 and Best Presentation Award at the IEEE International Conference on Intelligent Control, Power and Instrumentation (ICICPI) 2016. On top of this, he has more than 60 awards received at international and local competitions.
Currently, Professor Er serves as the Editor-in-Chief of 3 international journals, namely International Journal of Intelligent Autonomous Systems, Transactions on Machine Learning and Artificial Intelligence and the International Journal of Electrical and Electronic Engineering and Telecommunications. He also serves an Area Editor of International Journal of Intelligent Systems Science and an Associate Editor of 14 refereed international journals, namely IEEE Transaction on Cybernetics, Information Sciences, Neurocomputing, Asian Journal of Control, International Journal of Fuzzy Systems, ETRI Journal, International Journal of Humanoid Robots, International Journal of Modelling, Simulation and Scientific Computing, International Journal of Applied Computational Intelligence and Soft Computing, International Journal of Business Intelligence and Data Mining, International Journal of Fuzzy and Uncertain Systems, International Journal of Automation and Smart Technology, International Journal of Intelligent Information Processing and an editorial board member of the Open Automation and Control Systems Journal and the EE Times.
Professor Er has been invited to deliver more than 60 keynote speeches and invited talks overseas. He has also been active in professional bodies. Under his leadership, the IEEE CIS Singapore Chapter won the CIS Outstanding Chapter Award in 2012 (The Singapore Chapter is the first chapter in Asia to win the award). He was bestowed the IEEE Outstanding Volunteer Award (Singapore Section) and the IES Silver Medal in 2011. He is listed in Who’s Who in Engineering, Singapore, Edition 2013.
Title of Speech: Intelligent Robotics and Automation: Recent Developments and Futuristic Trends
Abstract: Intelligent Robotics and Automation, the combination of artificial intelligence, robotics and automation, is already helping companies transcend conventional performance tradeoffs to achieve unprecedented levels of efficiency and quality. Applications range from the routine (collecting, analyzing, and making decisions about textual information) to the revolutionary (guiding autonomous vehicles and advanced robots). In this talk, recent developments of Intelligent Robotics and Automation with applications in the healthcare industry, domestic services, surveillance and security, etc will be reviewed. The futuristic trends and challenges will also be discussed.
Dr. Ben Abdallah Abderazek is a Professor of computer science and engineering and the Head of the Division of Computer Engineering, The University of Aizu, Aizu-Wakamatsu, Japan. He received his Ph.D. degree in computer engineering from the University of Electro-Communications, Tokyo, in 2002, his M.S degree in computer engineering, and his B.S. degree in electrical engineering from Hauzhong University of Science and Technology, Wuhan, in 1997 and 1994, respectively. He has been a faculty member at the University of Aizu since 2007. Before joining the University of Aizu, he was a Research Associate with the Graduate School of Information Systems (now Graduate School of Informatics and Engineering), The University of Electro-Communications, Tokyo, from 2002 to 2007. He held several visiting professorships at several universities, including The Hong Kong University of Science and Technology, Hong Kong (2010-2013), and Huazhong University of Science and Technology, Wuhan (2010-2016).
Dr. Ben Abdallah’s research interests include the areas of computer system and architecture, with an emphasis on adaptive/self-organizing systems, networks-on-chip/system-on-chips, power and reliability-aware architectures, and neuro-inspired computing. He has authored three books, published more than 150 journal articles and conference papers in these areas. He is a Senior member of both IEEE and ACM. He was awarded a Presidential prize for scientific research and technology in 2010, and several best-paper awards (BWCCA2010, FAN2009, PDCAT2007). He served on the chair, editorial, and review boards of several journals and conferences including, steering chair of the IEEE MCSoC Symposium Series. He has been also involved in co-organizing many symposia, and conferences as well as guest editor of special issues in journals, such as IEEE Transactions on Emerging Topics in Computing.
Title of Speech: AI-Chips: Artificial Intelligence Chips for Intelligent Systems
Abstract: In recent years, neuroscience research has revealed a great deal about the structure and operation of individual neurons, and medical tools have also revealed a great deal about how neural activity in the different regions of the brain follows a sensory stimulus. Moreover, the advances of software-based Artificial Intelligence (AI) have brought us to the edge of building low-power brain-like functioning chips and systems. Hardware implementations of such brain-like devices/chips, called AI-Chip, have the advantage of computational speedup over software implementation and can take full advantage of their inherent parallelism. Potential applications of AI-Chips include, autonomous vehicles, industrial robots, unmanned aerial vehicles, health care, agriculture robots, mobile devices, intelligent IoT, and natural language processing. The first part of this talk presents a deep survey of the state of the arts AI-Chips and their potential applications. The second part presents a case study on a fault-tolerant AI-SoC implementing based on 3D network-on-Chip topology. The talk concludes by describing future prospects on AI-Chips and their impacts on future computing.
Dr. Chien received the Ph.D degree in Electrical Engineering from National Taiwan University, Taipei, Taiwan, in 1992. Since 1993, he was with the Department of Electronic Engineering, Huafan University, Taipei, Taiwan, where he is currently a professor. In the past 15 years, Dr. Chien has served as the Chair of Department of Electronic Engineering, Dean of College of Engineering and Management, Convener of Internal Control and Audit Committee, Acting President and currently the Secretary General at Huafan University. He has published more than 130 peer reviewed international journal and conference papers in the area of control theory and its applications. Moreover, he is appointed as a reviewer for many outstanding international journals such as Automatica, IEEE Transactions on Automatic Control, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Systems, Man and Cybernetics, and so on. He also served as a final review commissioner for the research projects of Taiwan Ministry of Science and Technology and the member of 2017 institutional accreditation for Higher Education Evaluation & Accreditation Council of Taiwan.
Dr, Chien received the Research Award (Category A) from National Science Council, Taiwan in 1995, 1997, 1999 and the best paper awards at The 17th National Conference on Fuzzy Theory and Its Applications 2009, and International Automatic Control Conference 2016. His work was awarded as one of the top research articles published in 2014 and 2015 at International Journal of Fuzzy Systems. His current research interests are mainly in iterative learning control, adaptive control, fuzzy-neuro systems, V-SLAM and control circuit design.
Title of Speech: Ongoing Evolution of a Visual SLAM: Challenges and Opportunities
Abstract: As a camera is becoming a low-cost sensor with rich observable information, they are extensively used for autonomous navigation systems. Vision-based robot navigation problem covers several issues. Among them, visual simultaneous localization and mapping (V-SLAM), which is in charge of solving robot localization and map building problem in an unknown environment, is regarded as the most challenging topic. It is an approach that has been investigated for over two decades; however, it remains an ongoing research in terms of stable performances in complex and dynamic environments, real-time computation, and long-term operation. In this talk, a brief introduction of the evolution of a V-SLAM will be given, including the challenges and their corresponding solutions to the further opportunities in the near future. The implementation of a V-SLAM on a hardware FPGA to reach a real-time performance will also be discussed. The hardware platform provides low-cost, low power consumption, and high computational efficiency characteristics compared to GPUs, implicitly enabling a mobile robot to perform a lifelong operation.
Prof Shiqian Wu received the B.Eng. and M.Eng. degrees from the Huazhong University of Science and Technology (HUST), Wuhan, China, in 1985 and 1988, respectively, and the Ph.D. degree from Nanyang Technological University, Singapore, in 2001.
He is currently a full Professor with the School of Machinery and Automation, Director, Institute of Vision & Systems, Deputy Director, Institute of Robotics & Intelligent Systems (IRIS), Wuhan University of Science and Technology, Wuhan. He was an Assistant Professor, Lecturer, and an Associate Professor at HUST from 1988 to 1997. From 2000 to 2014, he was a Research Fellow or Research Scientist with the Agency for Science, Technology and Research (A-STAR), Singapore. He has co-authored two books and more than 170 scientific publications (book chapters and journal/conference papers). Two papers were recognized as top 25 hottest articles in Oct. ~ Dec. 2005 and Apr. ~ Jun. 2009 by J. Visual Communication & Image Representation and Patt. Recog. Lett. respectively. One paper was recognized as top 50 most frequently downloaded paper (ranked 16) by IEEE Trans. Image Processing. He was listed as Most Cited Chinese Researchers in 2014~2017 by Elsevier. His research interests include Computer vision, Pattern Recognition, Image Processing, video surveillance and artificial intelligence.
Title of Speech: Adaptive Robust Principal Component Analysis (A-RPCA): Principle and Applications in Computer Vision
Abstract: Robust Principal Component Analysis (RPCA) by decomposing a matrix into low-rank plus sparse matrices offers a powerful tool in solving computer vision problems. However, the results by the existing RPCA-based methods are often unsatisfied in complex scenes, for example varying illumination, shape changes, occlusions and shadows etc. The reason is that these methods ignore a prior knowledge that different singular value of the observation matrix contains different proportions of data information in additional to low-rank structure. In this talk, an adaptive RPCA which simultaneously preserves low-rank structure and restores the corrupted parts is proposed. Specifically, the sum of weighted singular values is included in the objective function of minimization, and the weights are adaptively obtained by employing the proportion of information contained in corresponding singular values. Finally, we demonstrate several applications of the proposed methods in computer vision, such as image inpainting, shadow removal, background modeling and so on.
Biography: Dr. ZHOU Yi is an Assistant Professor at Singapore Institute of Technology (SIT). He was a lecturer at Singapore University of Technology and Design and Singapore Polytechnic before joining SIT. Dr ZHOU has been a council member of Institution of Engineers, Singapore (IES) since 2012 and currently serves as chairman of Electrical, Electronic and Computing Engineers Technical Committee and deputy chairman of Railway and Transportation Technical Committee. Dr Zhou was a co-chairman for Singapore LTA Engineering Challenge in 2016 and have been frequently invited for media interview on transportation related issues.
Title of Speech: Intelligent Transport: Future of Mobility
Abstract: Artificial intelligence and autonomous systems have tremendously changed the world and those disruptive technologies has transformed our living, working and moving. Intelligent transportation systems including sensor technologies, information communication and machine learning are discussed in this talk. Future trends and plans for assisting driving technology, autonomous vehicles, connected cars and MaaS (mobility as a service) are also addressed.
Haizhou Li received his Ph.D degree from South China University of Technology, Guangzhou, China in 1990. He is currently Professor at the Department of Electrical and Computer Engineering, National University of Singapore. His research interests include speech information processing, natural language processing, and neuromorphic computing.
Professor Li has served as the Editor-in-Chief of IEEE/ACM Transactions on Audio, Speech and Language Processing (2015-2018), the President of the International Speech Communication Association (ISCA, 2015-2017), and the President of Asia Pacific Signal and Information Processing Association (APSIPA, 2015-2016). He is a Fellow of the IEEE and the ISCA. He was named Nokia Professor in 2009 by Nokia Foundation, and Bremen Excellence Chair Professor in 2019 by University of Bremen.
Title of Speech: Speech Recognition: A Story of Artificial Intelligence
Abstract: In the era of the mobile internet with keyboard-less smart terminals, voice user interface is becoming a ubiquitous mechanism for information access. The progress of automatic speech recognition is a typical story of artificial intelligence. In this talk, we will discuss automatic speech recognition, an enabling technology for innovative services and applications in mobile internet, robotics, and intelligent agents. Automatic speech recognition emulates human listening ability. We will review the technology fundamentals, the progress, and the challenges from a historical perspective. We will use recent results to benchmark automatic speech recognition performance against human parity. We will also discuss how technology advancement creates an impact on industry.