Keynote Speaker I
Dr. Gianluigi Ferrari
University of Parma, Italy
Speech Title: Inertial Signal Processing for CPS
In this talk, we present several activities related to the use of inertial signal processing in the context of Cyber Physical Systems (CPS). In particular, we provide an overview of several applications, developed at the Internet of Things (IoT) Lab of the Department of Engineering and Architecture of the University of Parma, in the following main areas: motion analysis for biomedical applications, vibration analysis, and inertial navigation. In all cases, the proposed applications rely on the use of inertial measurement units (IMUs) which transmit inertial data wirelessly. The collected data are then properly fused together and processed.
Gianluigi Ferrari received the Laurea (summa cum laude) and Ph.D. degrees in electrical engineering from the University of Parma, Parma, Italy, in 1998 and 2002, respectively. Since 2002, he has been with the University of Parma, where he is currently an Associate Professor of Telecommunications (with National Scientific Qualification for Full Professorship since 2013), and also is currently the Coordinator of the Internet of Things (IoT) Laboratory (http://iotlab.unipr.it/) at the Department of Engineering and Architecture. He held visiting researcher positions at the University of Southern California (USA), Carnegie Mellon University (USA), King Mongkut's Institute of Technology Ladkrabang (Thailand), Université Libre de Bruxelles (Belgium).
His research interests include signal processing, advanced communication and networking, and IoT and smart systems. He has authored extensively in these areas. In particular, he is a co-author of the upcoming (2018) Wiley book “Internet of Things: Architectures, Protocols and Standards.” He has received a few best paper/technical awards. He is currently an IEEE Senior Member.
He has collaborated extensively with public organizations and private companies (at national and international levels). Since 2016 is co-founder, President and CEO of things2i s.r.l. (http://www.things2i.com/), a spin-off company of the University of Parma dedicated to IoT and smart systems.
Keynote Speaker II
Prof. JIE ZHANG
University of Newcastle, UK
Batch Process Modelling and Optimisation Using Machine Learning Techniques
Batch processes are suitable for the agile manufacturing of high value added products, such as specialty polymers, pharmaceuticals, and bio-products. In contrast to continuous processes, batch processes have strong nonlinear behaviour and always operated in transient states. A further difficulty in batch process control is that product quality variables usually cannot be measured on-line and can only be obtained through laboratory analysis after a batch has finished. This talk presents several robust neural network based data driven modelling, inferential estimation, and reliable optimal control methods for batch processes. Bootstrap aggregated neural networks have enhanced model generalisation capability and can also provide model prediction confidence bounds. One of the most important issues of empirical model based batch process optimal control is that the calculated optimal control profile can degrade very significantly when applied to the actual process due to model plant mismatches. In order to address this issue, the optimisation objective function can be augmented by an additional term (or an additional objective in multi-objective optimisation) to penalise wide model prediction confidence bound at the end-point of a batch. By such a means, the calculated optimal control profile is much reliable in the sense that, when being applied to the actual process, the degradation in control performance is limited.
Dr Jie Zhang received his PhD in Control Engineering from City University, London, in 1991. He has been with the School of Engineering, Newcastle University, UK, since 1991 and is currently a Senior Lecturer and Degree Programme Director for MSc in Applied Process Control. His research interests are in the general areas of process system engineering including process modelling, batch process control, process monitoring, iterative learning control, and computational intelligence. He has published over 290 papers in international journals, books, and conference proceedings. He has supervised over 20 PhD students and 100 Master students. He is on the Editorial Boards of a number of journals including Neurocomputing published by Elsevier, International Journal of Automation and Computing published by Springer, and Control Engineering of China. He is a Senior Member of IEEE.
Keynote Speaker III
Prof. Wen-Ping Cao
Aston University, UK
Speech Title: Fault, failure and condition monitoring of electrical motor drives
This keynote speech is concerned with electrical machines and motor drives. It will start with a basic knowledge of power losses, fault mechanisms of electrical machines and power electronics, followed by the failures caused by electrical, thermal, mechanical and environmental ageing. Then new diagnostic and prognostic technologies will be discussed. Generally, condition monitoring systems consist of development of sensors to capture the signal or the state of the condition; network and data to collect and process the information; retrieval of key parameters and fault signatures, and actions to respond to the estimated conditions.
Discussions are welcome.
Prof. Wen-Ping Cao is a holder of Royal Society Wolfson Research Merit Award, Chair in Electrical Power Engineering, and Head of Power Electronics, Machines and Power System Group of Aston University, England. He is also the Chairman for IEEE Industrial Electronics Society, IEEE UKRI.
Keynote Speaker IV
Prof. Danica Kragic
Royal Institute of Technology (KTH), Sweden
Speech Title: Robotics and Artificial Intelligence: Opportunities and Challenges
We humans are skilled in a various physical activities such as opening a door or grasping an object, and also have impressive motor learning abilities to acquire new skills. Most robotic system today still experience challenges, especially in unstructured environments. For robots that also are expected to interact with humans, there is a need for active decision making that takes human partners into account. The gap between humans and robots in motor skill learning may be explained not only by the highly versatile sensing and actuating capabilities of humans, but also by the way the sensorimotor process is intertwined. When it comes to human-robot collaboration, state-of-the-art research often assumes a leader-follower division, in which one agent leads the interaction. We believe that this is caused by the lack of a reliable representation of the human and the environment as well as appropriate control and perception frameworks to allow effective decision making. In this talk, we survey our and work of others in terms of systems perspective: integrating perception, interaction and collaboration in an effective manner for the development of more capable robot systems. We focus on control, perception and learning methodologies using integration of multisensory feedback.
Danica Kragic is a Professor at the School of Computer Science and Communication at the Royal Institute of Technology, KTH. She received MSc in Mechanical Engineering from the Technical University of Rijeka, Croatia in 1995 and PhD in Computer Science from KTH in 2001. She has been a visiting researcher at Columbia University, Johns Hopkins University and INRIA Rennes. She is the Director of the Centre for Autonomous Systems. Danica received the 2007 IEEE Robotics and Automation Society Early Academic Career Award. She is a member of the Royal Swedish Academy of Sciences, Royal Swedish Academy of Engineering Sciences and Young Academy of Sweden. She holds a Honorary Doctorate from the Lappeenranta University of Technology. She chaired IEEE RAS Technical Committee on Computer and Robot Vision and served as an IEEE RAS AdCom member. Her research is in the area of robotics, computer vision and machine learning. In 2012, she received an ERC Starting Grant. Her research is supported by the EU, Knut and Alice Wallenberg Foundation, Swedish Foundation for Strategic Research and Swedish Research Council. She is an IEEE Fellow.
Keynote Speaker V
Prof. Paulo Sérgio Duque de Brito
Polytechnic Institute of Portalegre, Portugal
Speech Title: Hydrogen production from wastes by thermal gasification processes
Hydrogen is potentially clean and renewable energy carrier and has been identified as one of the most promising means of ensuring energy sustainability in modern society. Hydrogen is the simplest and most abundant element in the universe, and can be easily found in water and organic compounds such as methane, biomass and natural gas. Sustainable hydrogen production can be done from renewable energies, enabling energy storage as a scales balancing between primary energy production and user energy needs, and from biomass materials using, for example, thermochemical gasification processes. Syngas obtained from gasification of biomass and industrial wastes constitutes an interesting resource for biofuels and hydrogen because it has lower impacts for the environment compared to traditional technologies and allows for the valorization of waste residues as feedstock. This work presents the scope, potential and technologies related to the use of biomass resources with a focus on thermal gasification of wastes in order to produced hydrogen.
Paulo Sérgio Duque de Brito has a degree in chemical engineering, Processes and Industry specialization, in the Technical Superior Institute; has a master’s degree in “Corrosion Science and Engineering” by UMIST, Manchester University; is a PhD in Chemical Engineering, by the Superior Technical Institute in the electrochemical – on fuel cells. He has also an MBA – Master of Business and Administration.
Currently, he is a Coordinator Teacher in the Superior School of Technology and Management of the Polytechnic Institute of Portalegre (IPP), where he is also the Coordinator of the VALORIZA –Research Centre for Valorization of Endogenous Products.
The main areas he investigates are related with Bioenergy, waste environmental treatments, materials corrosion and energy galvanic production.
He has published more than 200 works, in books, articles and conferences presentations.
Keynote Speaker VI
Prof. Jonas Sjöberg
Chalmers University, Sweden
Speech Title: Efficient and safe road transport – algorithms for optimal speed control concerning energy, time and safety
Today’s cruise control systems try to keep a constant speed given by the driver. To that basic functionality one can add a number of additional features like adaptively to the speed of the vehicle in front, and cooperative support using information exchange with other vehicles. Especially the cooperation opens up for advanced optimization of the fuel consumption at the same time as safety and transport time are considered. This talk gives an overview of the optimal design of the cooperative speed control given information such as the driving path including inclination and speed limits, information of the individual vehicles and their limitations. The vehicles can be conventional vehicles or hybrids, and they can have individual properties such as braking possibilities. The talk covers practical aspects, how the problem can be modeled so that a solvable optimization problem is obtained, and what is required to obtained online algorithms to be implemented in real time.
Jonas Sjöberg is Professor and Head of the Mechatronic research group at Electrical engineering department at Chalmers University, Gotenburg, Sweden. Jonas Sjöberg received his master degree from Uppsala University 1989 and the degree of doctor in engineering (PhD) in 1995 from Linköping University, Sweden. After Post-Docs at ETH Zurich, he became Assistant Professor at Chalmers, and after research visits at TU Wien, and at Technion in Haifa, he became a Full Professor in 2001.
The research group consists of approximately 25 co-workers, Ph.D students, post docs, and senior researchers. Their research concerns model based methods, simulations, and optimization for system design and control. Applications are, to a large extent within, self-driving vehicles, automotive active safety and electromobility.
Jonas Sjöberg was the winner of Volvo Cars technology award 2011. In 2015 he was co-main chair of the FASTzero symposium, and 2016 he was main chair of IEEE Intelligent Vehicles Symposium. Since 2017 he is BOG member of IEEE ITSS and 2018 he was the winner of the Håkan Frisinger award for outstanding achievements in automotive research in the fields of electromobility and self-driving vehicles.