Keynote Speaker I
Prof. JIE ZHANG
School of Chemical Engineering & Advanced Materials
University of Newcastle, UK
He received B. Sc. degrees in Automatic Control from Hebei University of Technology, China in 1986. He received Ph. D. degree in Control Engineering from City University, London, UK in 1991.
He currently worked as a Senior Lecturer, School of Chemical Engineering and Advanced Materials, University of Newcastle, United Kingdom.
He is also a member of Editorial Board/Advisory Board for the following journals: Neurocomputing, Control Engineering of China, The Open Fuels and Energy Science Journal, The Open Artificial Intelligence Journal, Central European Journal of Engineering, International Journal of Engineering and Technology, Journal of Advanced Manufacturing Research, Journal of Chemical and Process Engineering.
Keynote Speaker II
Prof. Yonghong Peng
The University of Sunderland, UK
Speech Title:The Science of Data: to empower the next generation of Artificial Intelligence
Data is now becoming an incredibly driving power for technological innovations. With aim for making machine to be with intelligence including for “problem-solving” and “learning”, the discipline of Artificial intelligence grown-up from symbol manipulation, computational logic, knowledge-base/expert systems, neural network to hybrid intelligence, during the past 60 years. In the big data era, AI has been empowered by the advance of machine learning and particularly by the popularity of deep learning, and is now becoming a buzzword to industries.
This talk will first present an overview on the framework of emerging discipline of data science, as driven by the big data. Thought we have seen the boom of AI and technology innovation, industries still struggle to transfer data from operational systems to analytical systems, thus have difficulty to catch the opportunities in data economy. In this talk, Prof Peng will present an ecosystem where machine learning empowers the big data analytics and big data drives the AI technology innovation. This talk will also explore the development of a new data intelligence platform (DIP) to empower the next generation of AI.
Prof Yonghong Peng is a Professor of Data Science at the University of Sunderland, United Kingdom. His research in data science includesmachine learning/deep learning and artificial Intelligence, with application tohealth and genome data analytics. His research group has developed multiple leadingapproaches for the integrated analytics of genome data.Prof Peng is an associate editor for IEEE Transaction onBig Data, and an academic editor of PeerJ and PeerJ Computer Science. Prof Pengis the Chair for Big Data Task Force (BDTF) of IEEE computational intelligencesociety (CIS), and a member of Data Mining and Big Data AnalyticsTechnical Committee of IEEE CIS. He is a founding member of the TechnicalCommittee on Big Data (TCBD) of IEEE Communications, and a member of Big DataTask Force of China Information Industry Association (CIIA). He is also anadvisory board member for IEEE Special Interest Group (SIG)on Big Data for Cybersecurity and privacy.
Keynote Speaker III
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 IV
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 V
Prof. Zhe CHEN
Department of Energy Technology, Aalborg University, Denmark
Speech Title: Pending
Membership of professional societies: Memberships SMIEEE Senior Member of IEEE (USA) MIEE Member of IEE (London, UK) CEng Chartered Engineer (UK) Associate Editor The IEEE Transactions on Power Electronics (Renewable Energy) Committee Member of a number of Technical Committees of international conferences, including the International Association of Science and Technology for Development (IASTED), IECON, ISIE, IPEMC, ICEMS etc.
Keynote Speaker VI
Prof. Paulo Brito
Instituto Politécnico de Portalegre, Portugal
Speech Title: Hydrogen production from wastes by thermal gasification processes
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 President of the Technologies and Design Department. He is also, Institutional Coordinator for I&DT of IPP and responsible for C3i – Investigation and Innovation Interdisciplinary Coordination.
The main areas he investigates are related with Bioenergy, waste environmental treatments, materials corrosion and energy galvanic production.
Sept.21, 2018: Registration + Icebreaker Reception
Sept.22, 2018: Opening Ceremony+KN Speech+Technical Sessions
Sept.23, 2018: One day tour or Technical Sessions+ Half Day Tour/Lab Tours
We sincerely welcome Distinguished experts to join us as a reviewer and a scientific committee member. We sincerely welcome you to send you cv to firstname.lastname@example.org.
IARCE 2018 will be held in Stockholm, Sweden
Ms. Tiya T. Deng