Prof. Dr. Zainal Bin Salam
Building the Solar Photovoltaic Systems Industry Ecosystem
10:20pm-10:40pm, 5th November 2020
Abstract
Electricity from the sun—in the form of solar photovoltaic (PV) is envisaged to be an important source of future energy. This can be attributed to its environmentally friendly nature and long-term economic feasibility. With the continuous decline in the cost of modules, PV systems it is now being used in many applications—particularly in residential homes, and more recently as power plants. This lecture will highlight some of the initiatives by the Malaysian government, industries and financial sectors to build the right ecosystem to increase the share PV in the local energy mix. It describes the evolution of strategies for a sustainable growth: pilot projects, the feed-in-tariff, net metering and proliferation of large scales systems. It will also demonstrate the role of strong governance and adequate policies that are needed to push this technology for the mainstream acceptance. Despite these encouraging prospects, there remain barriers that need to be overcame before it can pose a serious challenge to more established fossil-fuel based electricity.This talk will address those challenges too.
Biography
Prof. Dr. Zainal Salam obtained his B.Sc (Electronics Engineering), M.E.E (Electrical Engineering) and Ph.D (Power Electronics), from the California State University (Chico, California), Universiti Teknologi Malaysia (UTM, Kuala Lumpur) and University of Birmingham (UK), in 1985, 1989 and 1997, respectively. He has been a lecturer for 30 years and is now the Professor in Power Electronics and Renewable Energy at the Centre of Electrical Energy Systems, Faculty of Electrical Engineering UTM. Prof. Zainal was the Dean of Research for Energy Research Alliance- overseeing and managing energy related research work in the University. He has authored and co-authored over 200 papers (with more than 2,000 citation) in various technical journals and conference proceedings. Since 2011, he has been the Editor of IEEE Transaction on Sustainable Energy and a member of Editorial Board for the Scientific World Journal (Hindawi Publishing Corporation). He represents the country as the expert for the International Energy Agency (IEA) PV Power Systems Task 13 Working Group, which focus on the reliability and performance of PV power system. Prof. Zainal is the Vice-Chair IEEE Power Electronics, Industrial Electronics and Industry Application Joint Chapter, Malaysia Section (2011-2013, 2016). He is involved in over 30 projects and consulting works on power converters, solar energy and machine control. His main research interests include all areas of design, instrumentation and control of power electronics renewable energy systems.
Overcoming digital divide by connecting the unconnected – technology enablers and future overview
10:40pm-11:20pm, 5th November 2020
Abstract
The digital divide is a main cause of growing gap between the rich and the poor. This is a growing problem in even western developed countries, but it is severe in Africa and Asia. New generations of the technology should be designed keeping this in mind that these new technologies should be part of the solution for this problem. We will take 5G as an example of communication technology and identify the technical approaches as well as the practical initiatives which address the challenge of the digital divide. We will also have a preview of some future use-cases of technology which everyone can benefit from if digital connectivity challenge is overcome.
Biography
Muhammad Ali Imran (M’03, SM’12) Fellow IET, Senior Member IEEE, Senior Fellow HEA is a Professor of Wireless Communication Systems with research interests in self organised networks, wireless networked control systems and the wireless sensor systems. He heads the Communications, Sensing and Imaging CSI research group at University of Glasgow. He is an Affiliate Professor at the University of Oklahoma, USA and a visiting Professor at 5G Innovation Centre, University of Surrey, UK. He has over 20 years of combined academic and industry experience with several leading roles in multi-million pounds funded projects. He has filed 15 patents; has authored/co-authored over 400 journal and conference publications; was editor of 5 books and author of more than 20 book chapters; has successfully supervised over 40 postgraduate students at Doctoral level. He has been a consultant to international projects and local companies in the area of self-organised networks. He has been interviewed by BBC, Scottish TV and many Radio channels on the topic of 5G technology.
Dr. Tech Anouar Belahcen
Numerical Analysis of Synchronous Machines by Coupled Circuit and Static Field Equations"
11:30pm-12:15pm, 6th November 2020
Abstract
A systematic approach for coupling the space-vector model of a synchronous machine with the static field equations and solve the whole system of equations with the finite element method will be presented. The aim of such an approach is to reduce the computation time needed for the simulation of such machines without losing on the accuracy. As showcases, we apply the methodology to a permanent magnet synchronous machine and a bearingless synchronous reluctance machine. finally we will show a comparison of the results with the measurements and the conventional time stepping finite element analysis, which shows that the method has a great potential in reducing the computation time and reproducing accurate results
Biography
Professor, Dr. Tech Anouar Belahcen (M’13-SM’15) received M.Sc. (Tech.) and Doctor (Tech.) degrees from Helsinki University of Technology, Finland, in 1998, and 2004, respectively. Since 2011 he is Professor of electrical machines at Tallinn University of Technology, Estonia and since 2013 he is Professor of Energy and Power at Aalto University. His research interest are numerical modelling of electrical machines, magnetic materials, coupled magneto-mechanical problems, magnetic forces, magnetostriction, and fault diagnostics of electrical machines.
Prof. Azeddine Beghdadi
Professor, institut Galilee, University Sorbonne Paris Nord France
Image Quality in the Context of Medical Imaging and Diagnosis
12:15pm-01:00pm, 6th November 2020
Abstract
This talk presents a more or less explored subject, but still quite open and complex, from the perspective that should be considered, in the world of medical imaging. It concerns the meaning and the role of objective image quality in the medical context and more specifically in computer-assisted diagnosis and surgery. Indeed, visual medical information plays a major role in diagnosis and can vary considerably in terms of quality depending on the perception of physicians.
The enormous amount of information conveyed by image sensors can suffer from various degradations, such as noise, blur, contrast saturation and various artifacts occurring during acquisition, processing and transmission, which have significant and sometimes irremediable repercussions on the reliability of the diagnosis.
This talk provides an overview of recent developments in this field, which has become very active over the last ten years, particularly with the revival of the interest in methods and technologies based on artificial intelligence. This presentation then attempts to answer some questions related to the use of image quality assessment and enhancement concepts and tools in the context of medical imaging and medical diagnosis. Paradigms developed in this field will be discussed and approaches and methodologies in the context of collaborative and structuring projects will be presented and discussed.
Finally, a medium to long-term vision on how to develop protocols and practical means to lead to a good practice of research between physicians and researchers in the field of visual information processing will be addressed and discussed in the light of current technological and theoretical advances and particularly in deep neural networks based approaches.
Biography
Dr. Azeddine BEGHDADI is Full Professor at University Sorbonne Paris Nord since 2000. He is the founding member of the Laboratory of Information Processing and Transmission (L2TI laboratory) and was its director from 2010 to 2016. He was promoted to the Exceptional Class Professor in July 2016. He started his education at ENSEP (Oran-Algeria) and Physics Institute at University Oran Es-Senia. He obtained a master’s degree in optics and signal processing from University Orsay-Paris XI in June 1983 and the PhD in Physics (Specialism : Optics and Signal Processing) from Sorbonne University (Paris 6) in June 1986. Dr. Beghdadi worked at different places including « CNRS – Solid Optics Laboratory » (Sorbonne University, Paris 6), CNAM Paris and LPMTM-CNRS Laboratory (University Paris Nord) from 1987 to 1998.
Dr Beghdadi has been involved in several international and national projects as steering board member, work package leader, or principal investigator. He has also served as a member of several expert panels of research funding agencies in France and Australia. He published over than 290 international refereed scientific papers. His research interests include image quality enhancement and assessment, image and video compression, bio-inspired models for image analysis and processing. Dr. Beghdadi is the founder and Steering Committee Chair of the European Workshop on Visual Information Processing (EUVIP). Dr Beghdadi is associate editor of “Signal processing : Image Communication”, Journal, Elsevier, European journal on image and video processing, Springer Verlag, Journal of Electronic Imaging, SPIE Digital Library, and Mathematical Problems in Engineering, Journal, Hindawi. He received several awards for excellence in graduate research supervision and several best paper awards at IEEE conferences.Dr Beghdadi served as conference chair and technical chair of more than 10 IEEE conferences. He is a member of EURASIP and IEEE-MMTC and a senior member of IEEE.