Keynote and Plenary Sessions Speakers
Professor Habib Zaidi is Chief physicist and head of the PET Instrumentation & Neuroimaging
Laboratory at Geneva University Hospital and faculty member at the medical school of Geneva
University. He is also a Professor of Medical Physics at the University of Groningen (Netherlands),
Adjunct Professor of Medical Physics and Molecular Imaging at the University of Southern Denmark,
Adjunct Professor of Medical Physics at Shahid Beheshti University and visiting Professor at Tehran
University of Medical Sciences. He is actively involved in developing imaging solutions for cuttingedge interdisciplinary biomedical research and clinical diagnosis in addition to lecturing
undergraduate and postgraduate courses on medical physics and medical imaging. His research is
supported by the Swiss National Foundation, private foundations and industry (Total 8.3 M US$) and
centres on hybrid imaging instrumentation (PET/CT and PET/MRI), deep learning for various imaging
applications, modelling medical imaging systems using the Monte Carlo method, development of
computational anatomical models and radiation dosimetry, image reconstruction, quantification
and kinetic modelling techniques in emission tomography as well as statistical image analysis, and
more recently on novel design of dedicated PET and PET/MRI scanners. He was guest editor for 12
special issues of peer-reviewed journals dedicated to Medical Image Segmentation, PET
Instrumentation and Novel Quantitative Techniques, Computational Anthropomorphic Anatomical
Models, Respiratory and Cardiac Gating in PET Imaging, Evolving medical imaging techniques, Trends in PET quantification (2 parts), PET/MRI Instrumentation and Quantitative Procedures and
Clinical Applications, Nuclear Medicine Physics & Instrumentation, and Artificial Intelligence and
serves as founding Editor-in-Chief (scientific) of the British Journal of Radiology (BJR)|Open, Deputy
Editor for Medical Physics, and member of the editorial board of the International Journal of Imaging
Systems and Technology, International Journal of Biomedical Imaging, Clinical and Translational
Imaging, American Journal of Nuclear Medicine and Molecular Imaging, Brain Imaging Methods
(Frontiers in Neuroscience & Neurology), Cancer Translational Medicine and the IAEA AMPLE
Platform in Medical Physics. He has been elevated to the grade of fellow of the IEEE, AIMBE and the
AAPM and was elected liaison representative of the International Organization for Medical Physics
(IOMP) to the World Health Organization (WHO) and member of the International Medical Physics
Certification Board (IMPCB) and the Imaging Physics Committee of the American Association of
Physicists in Medicine (AAPM) in addition to being affiliated to several International medical physics
and nuclear medicine organisations. He is developer of physics web-based instructional modules for
the RSNA and Editor of IPEM’s Nuclear Medicine web-based instructional modules. He is involved in
the evaluation of research proposals for European and International granting organisations and
participates in the organisation of International symposia and conferences. His academic
accomplishments in the area of quantitative PET imaging have been well recognized by his peers
and by the medical imaging community at large since he is a recipient of many awards and
distinctions among which the prestigious 2003 Bruce Hasegawa Young Investigator Medical Imaging
Science Award given by the Nuclear Medical and Imaging Sciences Technical Committee of the
IEEE, the 2004 Mark Tetalman Memorial Award given by the Society of Nuclear Medicine, the 2007
Young Scientist Prize in Biological Physics given by the International Union of Pure and Applied
Physics (IUPAP), the prestigious (100’000$) 2010 kuwait Prize of Applied sciences (known as the Middle Eastern Nobel Prize) given by the Kuwait Foundation for the Advancement of Sciences (KFAS) for "outstanding accomplishments in Biomedical technology", the 2013 John S. Laughlin Young
Scientist Award given by the AAPM, the 2013 Vikram Sarabhai Oration Award given by the Society of
Nuclear Medicine, India (SNMI), the 2015 Sir Godfrey Hounsfield Award given by the British Institute of
Radiology (BIR), the 2017 IBA-Europhysics Prize given by the European Physical Society (EPS) and the 2019 Khwarizmi International Award given by the Iranian Research Organization for Science and
Technology (IROST). Prof. Zaidi has been an invited speaker of over 160 keynote lectures and talks at
an International level, has authored over 600 publications (he is the senior or first author in a majority
of these publications), including 305 peer-reviewed journal articles in prominent journals (ISI-h
index=47|61 Web of Science™|Google scholar, >13’800+ citations), 280 conference proceedings
and 38 book chapters and is the editor of four textbooks on Therapeutic Applications of Monte Carlo
Calculations in Nuclear Medicine, Quantitative Analysis in Nuclear Medicine Imaging, Molecular
Imaging of Small Animals and Computational anatomical animal models.
Habib Zaidi (Plenary Speaker)
The promise of deep learning in multimodality medical image analysis This talk presents the fundamental principles and major applications of artificial intelligence (AI), in particular deep learning approaches, in multimodality medical image analysis research. To this end, the applications of deep learning in five generic fields of multimodality medical imaging, including imaging instrumentation design, image denoising (low-dose imaging), image reconstruction quantification and segmentation, radiation dosimetry and computer-aided diagnosis and outcome prediction are discussed. Deep learning algorithms have been widely utilized in various medical image analysis problems owing to the promising results achieved in image reconstruction, segmentation, regression, denoising (low-dose scanning) and radiomics analysis. This talk reflects the tremendous increase in interest in quantitative molecular imaging using deep learning techniques in the past decade to improve image quality and to obtain quantitatively accurate data from dedicated combined PET/CT and PET/MR systems including algorithms used to correct for physical degrading factors and to quantify tracer uptake and volume for radiation therapy treatment planning. The majority of AI-related works in the literature report on single-institution efforts under controlled conditions (e.g. diversity of patient population or image quality). The challenge of performance/bias assessment of AI approaches under realistically diverse conditions (e.g. multi-centre studies) warrants further investigation. The performance of AI algorithms depends largely on the training data used for model development. As such, the analysis of risks associated with the deployment of AI-based methods when exposed to a different test dataset to ensure that the developed model has sufficient generalizability is an important part of quality control measures that need to be implemented prior to their use in the clinic. Novel deep learning techniques are revolutionizing clinical practice and are now offering unique capabilities to the clinical molecular imaging community and biomedical researchers at large. Future opportunities and the challenges facing the adoption of deep learning approaches and their role in molecular imaging research are also addressed.
Mohammad Habibur Rahman (Senior Member, IEEE) is an Associate Professor with the Mechanical and Biomedical Engineering Department, University of Wisconsin-Milwaukee, WI, USA. As Director of the BioRobotics Lab at the University of Wisconsin-Milwaukee, he brings the resources and expertise of an interdisciplinary R&D team. For more than 15 years, he has been researching mechatronics/robotics with emphasis on the design, development, and control of wearable robots, collaborative robots, and mobile robots. He received a BSc Engineering (Mechanical) degree from Khulna University of Engineering & Technology, Bangladesh in 2001, a Master of Engineering (bio-robotics) degree from Saga University, Japan in 2005, and a PhD in Engineering (bio-robotics) from École de technologie supérieure (ETS), Université du Québec, Canada in 2012. He worked as a postdoctoral research fellow in the School of Physical & Occupational Therapy, McGill University (2012–2014). His research interests are in bio-robotics, exoskeleton robot, intelligent system and control, mobile robotics, nonlinear control, control using biological signals such as electromyogram signals. Dr. Rahman has served as a Guest Editor/Associate Editors and on the editorial board of several journals, including Frontiers in Robotics and AI: Biomedical Robotics. He has published 90+ technical papers in renowned journals and international conferences in his area of interest.
Mohammad Habibur Rahman (Keynote Speaker for SAC)
Dr. Belgacem Haba was born in 1957 in El-Meghaier, wilaya d’El-Oued, Algeria.
Dr. Haba joined Xperi (previously Tessera) in 1996 and is now its Senior Technical Fellow and Vice President. Today he is heading the path finding team in the electronic R&D division. His latest activities include the development of 3D technologies for mobiles and servers alike. Dr. Haba was with Google data center platform division as senior staff and before that he co-founded SiliconPipe Inc. in 2002, a high-speed interconnects Start-up Company based in Silicon Valley that got acquired by Samsung. He also managed the advanced packaging R&D division at Rambus. From 1988 to 1996, he worked for the NEC Central Research Laboratories in Tokyo Japan and for IBM Watson Research Center in New York on the applications of lasers in microelectronics.
Dr. Haba Holds a Ph.D. in materials science and engineering in 1988 from Stanford University, California in the field of solar energy. He also obtained from the same university two master’s degrees in applied physics and materials science. He received his Bachelor’s degree in physics from the University of Bab-Ezzouar, Algeria in 1980. Dr. Haba holds over 500 U.S. patents, and close to 1500 patents and patent applications worldwide. He is listed among the top 100 most prolific inventors worldwide. In 2017 he opened the Haba Institute in Algeria to help young entrepreneurs. Dr. Haba has authored numerous technical publications, has also participated in many conferences worldwide and was recognized in many occasions. To name a few; Kuwait Informatics Badge of honor in 2019, Wissam-el-3alam aljazairi in 2015, R&D 100 for most prestigious innovation in 2003, and the opening the Nasdaq in 2007.
Belgacem Haba (Plenary Speaker)
The 4th industrial revolution and its most likely future impacts During the last years, two main factors have led to an inflection point in the global economy of the whole word. The first factor is related to the explosion of data, mainly the part of data that is being stored in the cloud due to the accessibility of internet and the emergence of few large storage hubs like Google, Facebook and Amazon, etc. The second factor is related to the important advances in the silicon interconnect technologies, which allow a huge and very wide bandwidth for processor – memory communications. These two factors were behind the appearance of the Artificial Intelligence technology to the forefront. This technology coupled with other technologies, such as 3D printing, IoT, 5G, have given rise to the 4th industrial revolution. In this plenary session, we will cover the history of industrial revolutions and we will focus in particular on the 4th one and try to list few of its most likely future impacts. We will also cover in our talk main support of these revolutions which is the parallel path of the important evolution of the electronics industries.
He is a Professor at the Faculty of Electrical Engineering & Information Technology of HTWK Leipzig University of Applied Sciences. He was involved in research in the field of nonlinear dynamics and evolutionary computation since almost 20 years, regularly attending conference in the field and contributing papers. His main research topics are dynamic optimization, fitness landscapes, coevolution and evolutionary game theory.
Hendrik Richter (Keynote Speaker for SAC)
Game dynamics on graphs Directed or undirected graphs are the most natural way of a mathematical description of interacting agents. The vertices of the graph can hold information about the agent, while the edges represent their spatial structure. Such a model is particularly useful if the agents are described by a game-theoretical framework. Then the vertices represent the strategies which each agent employs, while the edges serve as the spatial interaction. Such a description also integrates dynamics as the agent’s strategies as well as their interaction may change over time. In the talk recent results on game dynamics on graphs are presented and possible field of application for systems and automation are discussed.
Dr. Castillo-Toledo was born in Oaxaca, México in 1959. He received the B. Sc. degree in Electrical Engineering from the National Polytechnic Institute (IPN), the M. Sc. Degree from the Center of Research and Advanced Studies (CINVESTAV-IPN) and the Ph. D. degree from the University of Rome “La Sapienza”, Italy, in 1981, 1985 and 1992 respectively. He worked as a lecturer at the School of Electrical and Mechanics Engineering of the IPN from 1985 to 1989. From 1985 to 1995 he was at the Automatic Control Section of the Department of Electrical Engineering of the CINVESTAV-IPN, and since 1995, at CINVESTAV-IPN Campus Guadalajara, where he was Director from 2010 to 2015. He has held several research stages at University of Rome “La Sapienza”, University of L’Aquila and was a visiting Professor at the Laboratoire d’Automatique et d’Analyse des Systemes (LAAS) of the French Council for Scientific Research (CNR) and at University of Compiègne, among others. He has autored/co-authored more than 100 papers on journals and conferences, and has supervised about 20 PhD and 50 M. Sc. thesis. He has also led several projects on basic and applied research, some of these with industry funding. His main research interests include nonlinear control design, the robust regulation problem, hybrid control systems and application of artificial neural networks and fuzzy logic techniques to control and fault diagnosis of dynamical systems and drones navigation/perception. He is a Senior Member of the IEEE, a Member of de Mexican Science Association (AMC) and is a member of the Mexican Researchers System (SNI).
Bernardino Castillo-Toledo (Plenary Speaker)
The output regulation problem: classical results and new trends
Dr. Chokri Belhadj Ahmed earned his Ph. D in Electrical Engineering from Ecole Polytechnique of Montreal, University of Montreal, Quebec, Canada in 1996. He worked for the Research Institute, KFUPM, Dhahran, Saudi Arabia, in several power system projects. He was involved with Hydro-Quebec Research Institute, Montreal, Canada in several power system analysis projects. Since 1996, he is conducting teaching and research work at the Electrical Engineering Department at KFUPM. His areas of interest are renewable energy resources performance and modelling, electric and magnetic fields studies and impact on human health analysis, power system analysis and modeling.
Chokri Belhadj Ahmed (Keynote Speaker for PSE)
Bifacial Photovoltaics technology and applications Bifacial photovoltaic (PV) is a promising solar energy technology that can harvest light from both the front and rear sides to produce more energy yield than monofacial PV modules. The inherent capability to harness albedo radiation improve energy output and minimize the negative of the surrounding effect. Bifacial modules are applied for large PV plants as well as for residential, for building integrated PV applications and can open up new PV application opportunities like in sound barriers or other vertical installations. The East/West vertical mounting of PV systems reaps particular benefits in snow-rich regions (no sticking of snow) or desert locations (reduced or no soiling), and contributes to a more consistent energy production throughout the day “peak-shaving”, thus improving the alignment between electricity production and demand. Recently, a significant endeavor has been made to quantify and predict the energy yield of bifacial PV modules for different installation configuration such stand alone, PV plants, east and west orientation. An obvious way to visualize the benefit due to bifaciality is to analyze the bifacial gain, which is the difference in the energy yield if bifacial, and monofacial devices with similar installation situation were compared. The levelized cost of PV generated electricity (LCOE) comparison between both bifacial and monofacial technologies for the utility large scale, ground-mounted PV systems has concluded that bifacial PV technology has a strong potential to significantly reduce the LCOE of PV generated electricity.
Haitham Abu-Rub is a full professor holding two PhDs from Gdansk University of Technology (1995) and from Gdansk University (2004). Dr. Abu Rub has long teaching and research experiences at many universities in many countries including Poland, Palestine, USA, UK, Germany and Qatar.
Since 2006, Dr. Abu-Rub has been associated with Texas A&M University at Qatar, where he is currently the Managing director of the Smart Grid Center at the same university.
His main research interests are energy conversion systems, electric drives, power electronic converters, renewable energy systems and smart grid.
Dr. Abu-Rub is the recipient of many prestigious international awards and recognitions, such as the American Fulbright Scholarship and the German Alexander von Humboldt Fellowship. He has co-authored more than 450 journal and conference papers, five books, and five book chapter. Dr. Abu-Rub is a Fellow of the IEEE and Co-Editor-in-Chief of the IEEE Transactions on Industrial Electronics.
Abu-Rub Haitham (Plenary Speaker)
SMART GRID AS THE NEXT ENERGY PARADIGM The smart grid has been called “electricity with a brain”, the “energy Internet” and the “Electronet”. Basically, the smart grid integrates electricity and information and communication infrastructures to produce electricity more efficiently and reliably, as well as cleanly and safely for the environment. The smart grid is the new energy paradigm that is characterized by a bidirectional flow of electricity and information and the integration of huge amount of distributed energy resources. The integration of renewable energy resources and energy storage into the smart grid is associated with power electronics converters and involves many aspects, such as: efficiency, reliability and energy conversion cost, forecasting of energy production, safe connection to the electric grid and the capability to work in islanded mode. Advanced control and data utilization are essential for the success of this energy paradigm. The talk will discuss the possibility and challenges of creating the smart grid paradigm and will highlight its enabling technologies, current status, and future prospective.
Prof. Adel Gastli received the B.Sc. Degree in Electrical Engineering from National School of Engineers of Tunis, Tunisia in 1985. From Sept. 1985 till Sept. 1987, he worked with the National Institute for Standards and Intellectual Property in Tunisia. He received the M.Sc. and Ph.D. degrees in Electrical & Computer Engineering from Nagoya Institute of Technology, Japan in Mar. 1990 and Mar. 1993 respectively. He worked with Mitsubishi Electric Corporation in Japan from Apr. 1993 to Jul. 1995. He joined the Electrical and Computer Engineering Department at Sultan Qaboos University, Oman, in Aug. 1995. He served as a Head of the Department from Sept. 2001 to Aug. 2003 and from Sept. 2007 to Aug. 2009. He was appointed as the Director of the Sultan Qaboos University Quality Assurance Office from Feb. 2010 to Jan. 2013. In Feb. 2013, he joined the Electrical Engineering Department at Qatar University as Professor and Kahramaa-Siemens Chair in energy efficiency. From Aug. 2013 till Sept. 2015, he was appointed the College of Engineering Associate Dean for Academic Affairs. He established the Clean Energy & Energy Efficiency Research Group at QU in March 2013. His current research interests include energy efficiency, renewable energy, electric vehicles and smart grid. He is a Senior IEEE member and an ABET Program Evaluator.
Adel Gastli (Keynote Speaker for PSE)
Integration of Electric Vehicles in a Smart Grid: Challenges & Opportunities Recently, the Electric Vehicles’ (EVs) market has witnessed significant growth and is expected to grow even faster in the next decade. This is becoming a challenging problem for the electric utilities in managing their power grid efficiently. Every grid system uses to be designed to fulfill a given demand and that's what engineers take into account when dealing with it. Therefore, any excessive and unmanaged increase of demand caused by EVs integration in the grid without proper increase of generation capacity couldn't be accepted without violating some design safety margins. With the development of smart grids, the challenges brought by the integration of EVs into the power system could be solved and can even bring more opportunities to utilities to respond faster to the intermittency of renewables and will allow for large penetrations of these renewables into the grid. Indeed, EVs' large battery storage capacity could be used by the utilities to stabilize their grids during sudden fluctuation of the load or generation. This presentation will present these challenges and opportunities provided by the large integration of EVs into a smart grid.
Mohamed Ibnkahla joined the Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada in 2015 as a Full Professor where he holds the Cisco Research Chair in Sensor Technology for the Internet of Things (IoT); and the Natural Sciences and Engineering Research Council of Canada (NSERC)/Cisco Industrial Research Chair in Sensor Networks for IoT. He obtained the Ph.D. degree and the Habilitation a Diriger des Recherches degree (HDR) from the National Polytechnic Institute of Toulouse, Toulouse, France, in 1996 and 1998, respectively. Prior to joining Carleton University, he has been a Professor at the Department of Electrical and Computer Engineering, Queen’s University, Kingston, Canada, from 2000 to 2015. His research interests include IoT design and applications, cognitive networks, adaptive systems, machine learning and artificial intelligence for wireless systems, and cyber-security for IoT systems. Over the past 10 years, he has been conducting multi-disciplinary research projects designing, developing and deploying Internet of Things in several domains including security and military applications, smart homes, health care, smart grid and sustainable energy, public safety, intelligent transportation systems, environment monitoring, and smart cities. He published 6 books and more than 180 peer-reviewed journal papers, book chapters, and conference papers. He is the author of Wireless Sensor networks: A Cognitive perspective, CRC Press - Taylor and Francis, 2012 and Cooperative Cognitive Radio Networks: The Complete Spectrum Cycle, CRC Press - Taylor and Francis, 2015. In the past 5 years he gave more than 30 keynote talks and invited seminars. He received the Leopold Escande Medal, 1997, Toulouse, France, and the Premier’s Research Excellence Award, Ontario, Canada, 2001. He is the joint holder of 5 Best Paper Awards.
Mohamed Ibnkahla (Keynote Speaker for CSP)
IoT, AI, and Big Data in a pandemic era The Internet of Things (IoT), Big Data, and Artificial Intelligence (AI) have been proven to enhance many aspects of our life including economy, healthcare, security, education, etc. The recent outbreak of COVID-19 pandemic has demonstrated how these technologies are needed more than any precedent time and how they have impacted and will impact every aspect of our society. This talk will emphasize on the role that these technologies are expected to play play in a pandemic world, and the impact that they will have not only on the health sector but also on individual lives (through smart home technologies for example), education (e.g., remote learning and remote labs and testbeds), transportation (intelligent transportation systems), economy, governance, security, etc. Finally, the technical challenges and requirements of these technologies, as well as some results and demos from the IoT Lab at Carleton University will be presented and discussed.
Ahmed Chemori received his M.Sc. and Ph.D. degrees, both in automatic control from
Polytechnic Institute of Grenoble, France, in 2001 and 2005 respectively. During the year
2004/2005 he has been a Research and Teaching Assistant at Laboratory of Signals and Systems
(LSS - Centrale Supelec) and University Paris 11. Then he joined Gipsa-Lab (Former LAG) as
a CNRS postdoctoral researcher. He is currently a tenured research scientist in Automatic
control and Robotics for the French National Center for Scientific Research (CNRS), at the
Montpellier Laboratory of Computer Science, Robotics and Microelectronics (LIRMM). His
research interests include nonlinear (robust, adaptive and predictive) control and their real-time
applications in robotics (underactuated robotics, parallel robotics, underwater robotics,
humanoid robotics and wearable robotics). He is the author of more than 130 scientific
publications. He co-supervised 17 PhD theses (including 9 defended) and more than 40 MSc
theses. He served as a TPC/IPC member or associate editor for different international
conferences and he was involved in the organization of different scientific events, including
Summer Schools, workshops and conferences.
He has been a visiting researcher/professor at different institutions (NTNU - Norway, Tohoku
University - Japan, EPFL - Switzerland, TUT - Estonia, HUST - China, UPC - China,
CINVESTAV - Mexico, UPT - Mexico, Chiang Mai University - Thailand, KAUST - Saudi
Arabia, ENIT - Tunisia, ENSIT - Tunisia, UMC - Algeria, etc).
He has also delivered various plenary/keynote lectures at different international conferences.
Ahmed Chemori (Keynote Speaker for SAC)
Motion Control of Biomimetic Autonomous Underwater Vehicles:
Towards an Effective Diver/Robot Cooperation Abstract: Biomimetic Autonomous underwater vehicles propose alternatives for
conventional propeller-driven underwater vehicles. Median and paired fin (MPF) locomotion is usually suggested as a viable alternative when high maneuverability and hovering capability is required. In fishes, such a propulsion mechanism usually means lower speeds (as opposed to body and caudal fin propulsion) but is advantageous when low speed and precision
maneuverability is desired. A particular type of MPF propulsion is sea turtle like 4-fin locomotion. Attempts to copy the locomotion of those agile and versatile reptiles reach back at least a decade with Turtle 2005 and Madeline. Other examples include Finnegan, the RobotTurtle and iRobot Transiphibian. Another line of development is represented by AQUA and AQUA2 four finned amphibian robots that are unique in the way the propellers are used
both for swimming and crawling in and out of water. Four-finned propulsion was also realized in some prototypes by deploying a scaffold structure actively controlled by shape memory alloy (SME) wires. U-CAT is an autonomous biomimetic underwater robot developed within a European Union 7th Framework project ARROWS (Archeological Robot Systems for the
World Seas). As opposed to the previous examples, four-finned design of this vehicle is motivated solely by the end-user requirements and environmental constraints of the tasks in this specifically shipwreck inspection. It should closely video-inspect underwater objects.
When interested to control of biomimetic autonomous underwater vehicles various challenges are to be considered (highly nonlinear dynamics, time-varying parameters, strong coupling between coordinates, underactuation, etc.).
This talk deals with motion control of Biomimetic autonomous underwater vehicles, with a special focus on the case study of U-CAT turtle-like biomimetic underwater robot.
All the proposed control solutions will be illustrated through different scenarios of real-time experiments in a swimming pool (controlled environment), as well as in open water (real operating conditions).
Dr. Sebastian Bader is an assistant professor in electronics at the Department of Electronics Design at Mid Sweden University, and a senior researcher at the STC Research Centre. He received his PhD degree in 2013 with a focus on energy-efficient and self-powered networked embedded systems. His research focus currently lies on energy harvesting technologies and systems, with a focus on kinetic energy harvesting and photovoltaics for low-power sensor systems. In this area, he has published/co-published approximately 30 publications in international journals and conference proceedings. Dr. Bader has been a visiting researcher in Australia and the UK, is a member of the IEEE, and regularly gives invited talks at international events.
Sebastien Bader (Keynote Speaker for SCI)
Energy harvesting in smart industrial machines: Generating the energy you need from the sources you know Abstract: A smart system can be defined as a system incorporating sensing, actuation, control and communication, in order to adjust to or inform about the system’s context or own condition. Through technological advances, particularly in microelectronics, “smartness” has been demonstrated in a number of application domains, ranging from smart healthcare and smart homes, to smart cities and smart industries. To realize smartness on large scale, however, the energy supply to the necessary technologies is still a challenge. Batteries have been the go-to solution in cases where a fixed electrical infrastructure is infeasible or impossible. Batteries, however, have a limited energy capacity and lifetime, resulting in maintenance requirements that are typically undesirable at scale. Consequently, the conversion of ambient energy sources - commonly referred to as energy harvesting - is investigated as an alternative. In this talk, an introduction as to what energy harvesting is, what it can be used for, and what challenges it faces, will be given. It will provide a holistic view, covering examples of energy sources to be exploited, conversion mechanisms to be utilized, and implementation aspects to be considered for system integration. During the talk, concrete cases of energy harvesting systems for smart industry applications will be explored in order to provide tangible examples. Moreover, open research challenges for energy harvesting and self-powered smart systems will be addressed, and an outlook on research trends given.
Frede Blaabjerg (S’86–M’88–SM’97–F’03) was with ABB-Scandia, Randers, Denmark, from 1987 to 1988. From 1988 to 1992, he got the PhD degree in Electrical Engineering at Aalborg University in 1995. He became an Assistant Professor in 1992, an Associate Professor in 1996, and a Full Professor of power electronics and drives in 1998. From 2017 he became a Villum Investigator. He is honoris causa at University Politehnica Timisoara (UPT), Romania and Tallinn Technical University (TTU) in Estonia. His current research interests include power electronics and its applications such as in wind turbines, PV systems, reliability, harmonics and adjustable speed drives. He has published more than 600 journal papers in the fields of power electronics and its applications. He is the co-author of four monographs and editor of ten books in power electronics and its applications. He has received 33 IEEE Prize Paper Awards, the IEEE PELS Distinguished Service Award in 2009, the EPE-PEMC Council Award in 2010, the IEEE William E. Newell Power Electronics Award 2014, the Villum Kann Rasmussen Research Award 2014, the Global Energy Prize in 2019 and the 2020 IEEE Edison Medal. He was the Editor-in-Chief of the IEEE TRANSACTIONS ON POWER ELECTRONICS from 2006 to 2012. He has been Distinguished Lecturer for the IEEE Power Electronics Society from 2005 to 2007 and for the IEEE Industry Applications Society from 2010 to 2011 as well as 2017 to 2018. In 2019-2020 he served as a President of IEEE Power Electronics Society. He has been Vice-President of the Danish Academy of Technical Sciences.
He is nominated in 2014-2020 by Thomson Reuters to be between the most 250 cited researchers in Engineering in the world.
Frede Blaabjerg (Keynote Speaker for PSE)
Wind Power – A technology enabled by power electronics The steady growth of the installed wind power, will reach 600 GW capacity in 2019, together with the up-scaling of the single wind turbine power capability - 15 MW’s are announced by manufacturers, has pushed the research and development of power converters towards full scale power conversion, lower cost pr kW, higher power density and need for a higher reliability. Substantial efforts are carried out to comply with the more stringent grid codes, especially grid faults ride-through and reactive power injection, which challenges the power converter topologies, because the need for crowbar protection and/or power converter over-rating has been seen in the past in the case of a doubly-fed induction generator. The presentation will first give a technology overview. Next power converter technologies are reviewed with focus on single/multi-cell power converter topologies. Further - case studies on the Low Voltage Ride Through demand to power converter are presented including a discussion on reliability. Finally, discussions about topologies for wind farms will be provided where they need to be operating like large power plants like a large synchronous generator.
Dr. Moustafa Elshafei received his Ph.D. with the Dean List Honor from McGill University in 1982, since then he accumulated 31 years of academic experience and 9 years of industrial experience. He authored 5 books and several book chapters, published over 200 publications, among them several highly cited
papers in Arabic speech synthesis and recognition, and 45 publications in the AI area. He holds over 25 US and international patents. One of the patent has been a product of a Canadian company since 2003, and another one is licensed to YOKOGAWA Electric Corporation, Japan. Five of the patents introduced AI
applications in various fields, and three patents are related to Arabic Natural Language processing. Dr. Elshafei participated in MIT-KFUPM project 2010-2013, and was a visiting scientist at MIT in 2010.
Dr. Elshafei received 15 international, national, and university awards. Elshafei is currently Adjunct professor at King Fahd University of Petroleum and Minerals and Professor at Zewail City of Science and Technology in Egypt, where he is the coordinator of the intelligent robotics and embedded systems lab.
Dr. Elshafei is a life member of IEEE
Moustafa Elshafei (Keynote Speaker for CSP)
Green Desalination Technologies: Electrostatic and hydro-magnetic Desalination Techniques Unlike the conventional thermal/mechanical desalination methods, which separate water from salts, the hydro-magnetic and the electrostatic techniques separate the salt, in the form of ions, from the water stream. The extracted ions are then used to produce several industrial products, such as Cl2 and NaOH. Most of the commercial techniques suffer from either high cost of energy per m3 of fresh water in case of thermal methods, or high cost of maintenance in the case of reverse osmosis methods, in addition to the environmental issues associated with discharging highly concentrated brine. The environmental impact could be in the form waste lands to dispose the salty brine, harmful effect of the brine waste on the underground water, or adverse effects on marine life. The proposed techniques have several advantages over the existing techniques, including high water recovery ratio, low maintenance cost, efficient energy recovery, environmental friendly, and economical as the system could produce simultaneously several industrial by-products (H2, NaOH, Cl2, and many other products) instead of discharging the highly concentrated brine to the environment.
Professor Dr.-Ing. habil. Thomas Fröhlich (born 1969) completed undergraduate and graduate studies at the Technical University of Ilmenau (TUI). From
1992 to 2000 he performed research at the Institute of process measurement
and sensor technology (IPMS) at TUI in the areas of temperature measurement,
humidity, high-precision force measurement as well as signal processing and
disturbance compensation. His habilitation, which carried the title Temperature
Compensation of Precision Measuring Devices, discusses the possibilities for modelling the static and dynamic thermal behaviour of measuring devices. Building upon regularly used methods for static temperature compensation and using control theory and system identification, model-generation methods were developed for use in measuring systems to reduce undesired temperature influence. During his time at the Institute of Process Measurement and Sensor Technology, he successfully completed a second course of studies at
the Institute of Mathematics at the TUI, making him a “Diplom- Mathematiker” as well. He was employed as a researcher at Sartorius AG Göttingen from January 2001 to August 2009, his last position being that of Director of Development in the area of mass comparators. There he dealt with the high-precision determination of mass using comparator balances and with mass metrology and among other things he was the project leader responsible for the development of the 1 kg prototype comparator in cooperation with the Bureau International des Poids et Mesures (BIPM), Sartorius AG Göttingen and the Institute of Process Measurement and Sensor Technology at the Ilmenau University of Technology. This prototype com-parator makes it possible to perform high-precision, dependable measurement on 1 kg prototypes with a standard deviation of under 50 nano gramm in a vacuum and under 100 nano gramm under air-tight conditions (atmosphere). In 2009 Thomas Fröhlich was named professor of process measurement technology at the Ilmenau University of Technology, becoming the successor of Professor Gerd Jäger, who was the long-time chair of the Department of Process Measurement Technology and the spokesman of the Collaborative Research Centre “Nanopositioning and Nanomeasuring Machines”. The Institute of Process Measurement and Sensor Technology in the Faculty of
Mechanical Engineering, which has been headed by Prof. Fröhlich since 2010, is a worldwide leader in the area of force and mass measurement.
As part of the bachelor’s and master’s programmes Thomas Fröhlich holds lectures entitled “Process Measurement and Sensor Technology”, “Digital Signal Processing with MATLAB”, “Computer-Aided Methods in Mechanical Engineering”, “Temperatur Measurement” and “Force and Mass Measurement Technology”. Thomas Fröhlich was appointed as visiting professor of China Jiliang University at Hangzhou in 2013 and of Tianjin University in 2017.
He had many short term visits to BIPM and national institutes of metrology: LNE/France, CEM/Spain, NIST/USA, Canada, Singapore, Thailand, NPL/India, PTB/Germany, NIM/China, SIMT/China, Algeria, Egypt, KRISS/South Korea and VNIIM Russia.
Thomas Fröhlich (Keynote Speaker for SCI)
Industrial temperature measurement