Keynote and Plenary Sessions Speakers
Ebrahim Babaei (M’10, SM’16) was born in Ahar, Iran, in 1970. He received his B.S. degree in Electronic Engineering and his M.S. degree in Electrical Engineering from the Department of Engineering, University of Tabriz, Tabriz, Iran, in 1992 and 2001, respectively, graduating with first class honors. He received his Ph.D. degree in Electrical Engineering from the Department of Electrical and Computer Engineering, University of Tabriz, in 2007. In 2007, he joined the Faculty of Electrical and Computer Engineering, University of Tabriz. He was an assistant professor from 2007 to 2011, an associate professor from 2011 to 2015 and has been a professor since 2015. He is the author and co-author of one book and more than 570 technical journal and conference papers. Some of them are jointly publications with prestigious international researchers. He also holds 25 patents in the area of power electronics. According to Google Scholar, he has a Hirsch factor of H=51 and more than 11400 citations. His current research interests include the analysis, modelling, design, and control of Power Electronics Converters and their applications, Renewable Energy Sources, and FACTS Devices. Prof. Babaei has been the Editor-in-Chief of the Journal of Electrical Engineering of the University of Tabriz, since 2013. He is also currently an Associate Editor of the IEEE Transactions on Industrial Electronics, an Associate Editor of the IEEE Transactions on Power Electronics, an Associate Editor of the Iranian Journal of Science and Technology, Transactions of Electrical Engineering, and an Associate Editor of the IEEE Open Journal of the Industrial Electronics Society. He has been the Corresponding Guest Editor for two special issues in the IEEE Transactions on Industrial Electronics. In addition, Prof. Babaei has been the Technical Program Chair, Track Chair, organizer of different special sessions and Technical Committee member in most important international conferences organized in the field of Power Electronics. Several times, he was the recipient of the Best Researcher Award from the University of Tabriz. He also received the Prize Winner and Award of 2016 Outstanding Reviewer from IEEE Transactions on Power Electronics. Prof. Babaei has been included in the Top One Percent of the World’s Scientists and Academics according to Thomson Reuters' list since 2015. From Oct. 1st until Dec. 30th 2016, he was a Visiting Professor at the University of L’Aquila, Italy, as well as at the Near East University, North Cyprus, since 2017. Prof. Babaei was the supervisor and advisor of more than 25 Ph.D. and 240 Master students. He is also currently the supervisor and advisor of more than 30 Postdoc, Ph.D. and Master students of different universities. Prof. Babaei is a Senior Member of IEEE, a member of IEEE Power Electronics Society and IEEE Industrial Electronics Society. He is also a member of Power Electronics Society of Iran (PESI) and Iranian Productivity Association for Power Industry.
Ebrahim Babaei (Keynote Speaker PSE)
Multilevel Inverters: Topologies, Modulation and Control Strategies Multilevel inverters have been experienced, in terms of research and applications, a continuous and increasing growth during the last three decades. Distinctive features of multilevel converters are their capability to overcome the voltage limits imposed by the adopted power devices and to reduce voltage and current harmonics content, thus reducing power losses, heat, noise and increasing efficiency and reliability. The effort of the researchers and industry has led to a rapid development of different multilevel inverter topologies, modulation techniques and control strategies. In this presentation, the speech will focus on three different related subjects to multilevel inverters; Topologies, Optimization Methods, and Control Strategies. At the first part, the speech will try to introduce some sub-modules to rebuild the presented topologies at the literature and also presenting new topologies of multilevel inverters. Another important point about multilevel inverters is that in most cases for a given topology, it is possible to use different configuration to generate the same number of output levels but with different number of components. So, it is strongly required to find a solution to optimize the topology in a way that by using minimum number of components to generate more number of levels. This subject will be the topic of second part. The next important point about multilevel inverters is their control methods. There are different control methods for multilevel inverters. Among them, the Selective Harmonic Modulation techniques (SHE) usually operate at fundamental frequency and are capable to cancel or mitigate one or more frequencies from the outputs. In addition, in symmetric multilevel inverters, balancing the provided energy by different DC voltage sources is other concern in controlling the multilevel inverters. After a theoretical discussion on the fundamentals of modulation algorithms with analytical methods, the speech will introduce and discuss in detail the selective harmonic modulation and charge balance control methods for modulation of cascaded H-Bridge multilevel converters.
Dr. Octavian Adrian Postolache (M’99, SM’06) graduated in Electrical Engineering at the Gh. Asachi Technical University of Iasi, Romania, in 1992 and he received the PhD degree in 1999 from the same university, and university habilitation in 2016 from Instituto Superior Tecnico, Universidade de Lisboa, Portugal. He joined Instituto Universitario de Lisboa/ ISCTE-IUL Lisbon where he is currently Associate Professor. His fields of interests are smart sensors for biomedical and environmental applications, pervasive sensing and computing, wireless sensor networks, signal processing with application in biomedical and telecommunications, non-destructive testing and diagnosis based on eddy currents smart sensors, computational intelligence with application in automated measurement systems. He was principal researcher of different projects such EHR-Physio regarding the implementation of Electronic Health Records for Physiotherapy or TailorPhy project Smart Sensors and Tailored Environments for Physiotheraphy. He served as technical principal researcher in projects such Crack Project related non-destructive testing of conductive materials. He is vice-director of Instituto de Telecomunicações/ISCTE-IUL delegation, director of PhD program Science and Communication Technologies at ISCTE-IUL, and he was leader of several collaboration projects between the Instituto de Telecomunicaçoes and the industry such as Home TeleCare project with Portuguese Telecommunication Agency for Innovation. Dr. Postolache is author and co-author of 9 patents, 10 books, 21 book chapters, 102 papers in international journals with peer review, more than 295 papers in proceedings of international conferences with peer review. He is IEEE Senior Member I&M Society, Distinguished Lecturer of IEEE IMS 2017-2020, chair of IEEE I&MSTC-13 Wireless and Telecommunications in Measurements, member of IEEE I&M TC-17, IEEE I&M TC-18, IEEE I&MS TC-25, IEEE EMBS Portugal Chapter and chair of IEEE IMS Portugal Chapter. He is Associate Editor of IEEE Sensors Journal, and IEEE Transaction on Instrumentation and Measurements, he was general chair of an important number of IEEE conferences. He received IEEE Sensors Journal best reviewer and the best associate editor in 2011, 2013 and 2017, and other awards related to his research activity in the field of smart sensing.
Octavian Adrian Postolache (Keynote Speaker for SCI)
Smart Sensing and AI for Physical Therapy in IoT Era The convergence of healthcare, instrumentation and measurement technologies will transform healthcare as we know it, improving quality of healthcare services, reducing inefficiencies, curbing costs and improving quality of life. Smart sensors, wearable devices, Internet of Things (IoT) platforms, and big data offer new and exciting possibilities for more robust, reliable, flexible and low-cost healthcare systems and patient care strategies. These may provide value-added information and functionalities for patients, particularly for those with neuro-motor impairments. It has great importance in developed countries in the context of population ageing. In this invited talk the focus will be on: hardware and software infrastructure for neuro-motor rehabilitation; highlighting the developed solutions for motor rehabilitation based on virtual reality and serious games. As part of these interactive environments, 3D image sensors for natural user interaction with rehabilitation scenarios and remote sensing of user movement, as well as thermographic camera for remote evaluation of muscle activity will be presented. Additionally AI solutions applied for physical therapy data provided by the smart sensors embedded in prototypes such as smart walkers, crutches or wearable physical training monitors are considered. Example of applied AI algorithms including deep-learning and the importance on diagnosis and evaluation of physical therapy outcome for different type of physical therapy platform including serious game will be discussed.
Azzedine Zerguine received the B.Sc. degree from Case Western Reserve University, Cleveland, OH, USA, in 1981, the M.Sc. degree from the King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, in 1990, and the Ph.D. degree from Loughborough University, Loughborough, UK, in 1996, all in electrical engineering. Now, he is Professor with the Department of Electrical Engineering, KFUPM. His research interests include signal processing for wireless communications, adaptive filtering, neural networks, blind source separation and equalization. He was a recipient of the three Best Teaching Awards at KFUPM, in 2000, 2005, and 2011, and the Best Research Award at KFUPM, in 2017. He is serving as an Associate Editor for the IET Signal Processing and the EURASIP Journal on Advances in Signal Processing.
Azzedine Zerguine (Keynote Speaker for CSP)
The Least Mean Fourth algorithm: A Myth or Reality? Adaptive filtering is a topic of immense practical and theoretical value, having applications in areas ranging from digital and wireless communications to biomedical systems. Adaptive filters are dynamic system whose parameters are adapted according to some criterion to meet certain requirements. Among the popular adaptive algorithm are The Least Mean Square (LMS) and The Least Mean Fourth (LMF). The LMF algorithm is known to perform better than the LMS algorithm in the case of non-Gaussian noise. Thus, it is more suitable in most of real life applications as the practicing environment is found to be non-Gaussian in most of the cases. Moreover, it has been shown that the LMF algorithm can outperform the LMS algorithm even in Gaussian environments when initialized far from the Wiener solution. However, there are some challenges with the implementation of the LMF algorithm such as stability, optimality between the convergence time and the final steady-state error, and its implementation for sparse system. For this reason, there exist many variants of the LMF algorithm in the literature. The main aims of this talk are: Provide an overview of the LMF algorithm, Present different variants of the LMF algorithm, Show how various challenges are dealt in these LMF variants, Introduce other potentially related LMF-based algorithms for timely applications, such as distributed signal processing, communication, IoT, 5G, and beyond, and finally use of machine learning, neural networks and artificial intelligence in specifying the statistics of the input signal and the noise to come up with the right algorithm.
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)
Upper Extremity Rehabilitation Robot Stroke affects each year more than 15 million people worldwide1. In the US alone, more than 795,000 US people suffer a stroke each year that results in significant deficits in upper/lower Extremity functions and the performance of everyday tasks for those affected2. The problem is further compounded by the constantly growing number of such cases1,2. It is estimated that about two-thirds of stroke survivors incur acute arm impairment3. Therefore, one of the challenging aspects of stroke rehabilitation is upper/lower extremity intervention. The conventional therapeutic approach requires a long time commitment and dedication by both patient and therapist and/or caregiver. There is a pressing need to develop improve treatment/therapeutic approaches to decrease the disability period due to stroke. Citing the constant growth of upper/lower extremity dysfunctions (ULED) and the required prolonged rehabilitation, robot-assisted therapy has already been contributing to upper/lower extremity rehabilitation. Although extensive research has been conducted on rehabilitation robotics, a few robotic therapeutic devices are currently commercially available to provide upper extremity (UE) rehabilitation but are limited to use in a clinical setting. The regulatory approval process4 for medical/therapeutic devices is usually long, as these devices closely work with the human subject. To provide upper limb rehabilitation therapy, we have developed a 7DOF exoskeleton type therapeutic robot named Smart Robotic Exoskeleton (SREx). The SREx comprises a shoulder motion support part, an elbow and forearm motion support part, and a wrist motion support part. It is designed to be worn on the upper limb's lateral side to provide (i) shoulder joint vertical and horizontal flexion/extension and internal/external rotation, (ii) elbow flexion/extension motion, (iii) forearm pronation/supination, and (iv) wrist joint radial/ulnar deviation and flexion/extension motion. The exoskeleton was developed based on the upper-limb biomechanics and was designed for use by typical adults. The SREx's kinematic model was developed based on modified Denavit-Hartenberg notations, and Newton-Euler formulation was used in dynamic modeling. Nonlinear control techniques, including model-based approaches such as sliding mode control5 and adaptive controller6, were used to maneuver the robots to provide active and passive arm movement therapy. The control architecture was executed on a field-programmable gate array (FPGA) in conjunction with a real-time PC. Experiments were carried out with healthy adults where typical rehabilitation exercises for single and multi-joint movements were performed.
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 In this talk, we will review the problem of tracking a reference signal, while maintaining closed-loop stability, even in the presence of disturbances, both signals, the reference and disturbances generated by an exogenous system, called the exosystem. We will formulate the classical state-feedback/output feedback regulation problem for linear systems, and then recall the conditions for the solvability of both problems. The case of robust regulation in the presence of parameter variations will also be reviewed, and the results will be stated in terms of the so-called immersion dynamics. Also, the nonlinear regulation systems will be then presented, and a review of some important results both for continuous and discrete systems will be given.
To conclude, we will present new trends in the problem, and give a few open problems in the matter.
|Atif Iqbal, Fellow IET (UK), Fellow IE (India) and Senior Member IEEE, Vice-Chair, IEEE Qatar section, DSc (Poland), PhD (UK)- Associate Editor, IEEE Trans. On Industrial Electronics, IEEE ACCESS, Editor-in-Chief, I’manager Journal of Electrical Engineering, Former Associate Editor IEEE Trans. On Industry Application, Former Guest Associate Editor IEEE Trans. On Power Electronics. Full Professor at the Dept. of Electrical Engineering, Qatar University and Former Full Professor at the Dept. of Electrical Engineering, Aligarh Muslim University (AMU), Aligarh, India. Recipient of Outstanding Faculty Merit Award academic year 2014-2015 and Research excellence awards 2015 and 2019 at Qatar University, Doha, Qatar. He received his B.Sc. (Gold Medal) and M.Sc. Engineering (Power System & Drives) degrees in 1991 and 1996, respectively, from the Aligarh Muslim University (AMU), Aligarh, India and PhD in 2006 from Liverpool John Moores University, Liverpool, UK. He obtained DSc (Habilitation) from Gdansk University of Technology in Control, Informatics and Electrical Engineering in 2019. He has been employed as a Lecturer in the Department of Electrical Engineering, AMU, Aligarh since 1991 where he served as Full Professor until Aug. 2016. He is recipient of Maulana Tufail Ahmad Gold Medal for standing first at B.Sc. Engg. (Electrical) Exams in 1991 from AMU. He has received several best research papers awards e.g. at IEEE ICIT-2013, IET-SEISCON-2013, SIGMA 2018, IEEE CENCON 2019, IEEE ICIOT 2020, ICSTEESD-20 and Springer ICRP 2020. He has published widely in International Journals and Conferences his research findings related to Power Electronics, Variable Speed Drives and Renewable Energy Sources. Dr. Iqbal has authored/co-authored more than 450 research papers and four books and several chapters in edited books. He has supervised several large R&D projects worth more than multi million USD. He has supervised and co-supervised several PhD students. His principal area of research interest is Smart Grid, Complex Energy Transition, Active Distribution Network, Electric Vehicles drivetrain, Sustainable Development and Energy Security, Distributed Energy Generation and multiphase motor drive system. |
Atif Iqbal (Keynote Speaker for PSE)
Grid-Connected Renewable Energy Sources-Challenges and Trends The world is moving towards decentralized power station, formally called distributed power generation. The main sources of distributed power generations are Solar Power and Wind Power systems. Among solar Power sources, solar photovoltaic has received much attention. Wind energy is also one of the most important and promising sources of renewable energy, mainly because it is considered to be non-polluting and economically viable. At the same time, there has been a rapid development of related wind turbine technology. The current surge in wind energy development is driven by multiple forces in favor of wind power. These include tremendous environmental, social and economical benefits, technological maturity, deregulation of electricity markets throughout the world, public support, and governmental incentives. Recent developments in wind power generation have provided an economically competitive and technically sound solution to reduce greenhouse gas emissions. The conversion efficiency of the wind power plant is much higher compared to the solar PV system and this can be further enhanced by employing appropriate maximum power point tracking strategy. According to Betz limit, the conversion efficiency of a wind power plant is as high as 59.3%. Grid-connected photovoltaic (PV) systems are one of the fastest growing renewable energy conversion systems in the world. In fact it has increased more than 7 times in the in recent past (from 5.4GW to 40GW of installed capacity). The main reason for this remarkable development is the cost reduction of PV modules and the introduction of economic incentives or subsidies due to growing environmental concerns. This has made PV generated electrical energy cost-effective and competitive in some regions of the world with good sun radiation conditions. Projections show that PV technology costs will continue declining in the next decade, making large-scale PV systems more and more attractive. Power electronics, used as an interface between the distributed generation sources and the electricity grid play an important role in facilitating an efficient and optimal energy transfer, as well as increasing system reliability and utilizing an economically viable solution. However, despite the clear trend in the increase of power rating of PV plants, power converter interfaces for large-scale PV systems have not evolved much and are concentrated in a couple of system configurations and converter topologies. The talk will focus on the energy scenario, existing international standards in relation to the grid-connected distributed energy source, existing inverter topologies, their classifications and operations. The control of grid connected inverters and synchronization requirements. The present challenges and requirements related to grid-connected inverters is presented. The issue related with Partial shading and MPPT requirement is discussed in the talk. The new class of PV inverters namely Z-Source, quasi Z Source and their cascaded structure is elaborated. The future directions of research is also given.
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 (Plenary Speaker)
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 When using temperature sensors – especially contact thermometers – in industrial processes,
they have to be adjusted to the corresponding demands for the respective processes in
industrial use. This concerns not only the demands for precise temperature measurement but
also the prerequisites for use; according to various planned uses, the sensor has to endure
extreme temperatures from -70 °C to 2,500 °C, chemical acids, extreme mechanical pressure
and fast changing temperatures and gradients. The sensor has to be maintenance free, stable,
and functioning for years at a time. At the same time, the demand remains to keep
developing more exact temperature measurement and even faster sensors. This places even
more extreme demands on the construction of the sensors, the selection of the materials used,
and also on the evaluation electronics and data processing strategies. Contact thermometers
often are use in a wide temperature range and under various medium and environment
conditions. In this case, the dynamic parameters (time percentage values and time constants)
depend on temperature itself. Several effects are superimposed. Constructive and material
properties of the thermometer and the installation location affect the dynamic behaviour as
well as the type and material properties of the object to be measured. Thermal conductivity,
specific heat capacity and density depend on temperature. At the same time, the dynamic
behaviour is also influenced by the temperature-dependent parameters of the media. When
the thermometers are installed in air, for example, the heat transfer coefficient decreases with
increasing temperature, owing to the temperature-dependent material data of the air, at
constant speed. At the same time, radiant heat influences have such a great influence that the
heat transfer improves despite the decreasing convective heat transfer coefficient. In our talk,
a number of examples are given. Both numerically and experimentally determined results
for the determination of the dynamic characteristic values are shown.