Reliabilty and failure analysis of Wide Bandgap power transistors: application for telecommunication systems and power convertors.
Prof. Pascal Dherbécourt, Institute of Technology in University of Rouen – Normandie, France :
Abstract : Responding to the current economic requirements, the new power transistor technologies as SiC (Silicon Carbide) and GaN (Gallium Nitride), are now available on the market. They offer increased performance compared to traditional silicon components, in terms of voltage withstand, high temperature operating. Applications such as PFC/power supplies and photovoltaic inverters, electric vehicles, rail and others are now contributing to the growth of the SiC and GaN market. HEMT GaN transistors are also deployed for high power microwave applications, and find their interest in telecommunication and radar systems. GaN technology is essential thanks to the intrinsic properties of the material, in particular the high electronic mobility. However, the lack of experience feedback on these technologies encourages industrials and academic researchers to study, through collaborative research projects, their reliability and degradation of performance in operational conditions. We present the context and the problematic of the reliability and failure analysis study of power transistors, the general methodology developed within academic research and industrials partners meeting the defined objectives. Several examples of studies carried out, particularly concerning the MOSFET SiC, then HEMT-GaN power transistors, are described.
Biography : Pascal Dherbécourt is head of the electrical engineering bachelor of institute of technology in University of Rouen – Normandie, France. He received a diploma degree and a Ph.D in physics and electronics in 2002. Over the period from 1999 to 2008, he worked in the field of optical fibers telecommunications. In 2008, he joined the GPM (Groupe de Physique des Matériaux, UMR CNRS 6634) and became co-founder of ErDefi team (research team in reliability and failure analysis of electronic components, become Er2MD in 2021). His main research interest is now reliability and failure analysis of high power transistors for telecommunication and radar applications and for power convertors. He participates in numerous research projects in collaboration with major companies. He is the author and co-author of more than sixty articles in international journals and congresses. Since 2017 he participates in the development of training radars and microwave teaching programs for aeronautics and telecommunication business.
Multi-Heat Sources Silicon-Die Thermal Monitoring Using Embedded Sensor Cells Unit: Challenges and Methodology for thermal peaks detection.
Prof. Ahmed Lakhssassi, Quebec University, Outaouais, Canada:
Abstract : Nowadays, real-time thermal monitoring is essential in integrated circuit (IC) and VLSI chip which are a multilayer structure and a stack of different materials. The evolution of the integrated circuits industry (IC) during the decade has been so rapid that it is possible to integrate complex systems on a single chip (SOC, system on Chip). This trend towards increasingly high levels of integration is driven by the need for increasingly efficient systems and thus dissipating enormous power densities. Currently researchers have already designed an algorithm for detecting thermal peaks in the case of a single heat source based on the GDS (Gradient Direction Sensors) methodology. However, this does not solve the problem of thermal peaks monitoring in LAIC (Large Area Integrated Circuits) circuits. In this paper we presents an algorithmic and the experimental result of multi-sources silicon-die thermal monitoring method using embedded sensor cells unit. The methodology that has been used is based on the generalized GDS methodology for the case of multiple heat sources. The test results of a configuration of embedded four (4) GDS sensor cells unit has been proposed for the detection of thermal peaks in the case of multiple sources. Our results shows that our algorithmic solution give a satisfactory thermal peak prediction with less than 1.2 % error.
Biography : Responsible of the LIMA laboratory CANADA, received the B.Ing. and M.Sc.A in electrical engineering from Université du Québec (UQTR), Québec, Canada in 1988 and 1990 respectively. He also received the Ph.D. in Energy and Material sciences in 1995 from INRS-Energie et Materiaux Montréal, Québec, Canada. A year also, he had become a professor of Electro-thermo-mechanical aspects at NSERC -Hydro-Quebec Industrial Research Chair at Electrical Engineering Department of the UQTR. Since 1998, he has been with UQO (Université du Québec en Outaouais), where he is currently titular professor and responsible of the LIMA laboratory LIMA (Advanced Microsystem Engineering Laboratory) developing algorithms for Microsystems thermo-mechanical monitoring and associated distributed sensors network. His research interest is the fields of automatic IP porting tools between different technology nodes and LAIC systems thermo-mechanical prediction unit and monitoring methods to sustain transient thermo-mechanical stress peaks reliability. He is the author/co-author of more than 150 scientific publications and research report, and thesis advisor of 60 graduate and undergraduate students who completed their studies.
LNA DESIGN TECHNIQUES USING Bi-CMOS SiGe TECHNOLOGY FOR SATELLITE AND 5G APPLICATIONS.
Dr. Mohamed Bouhamame Company Director/Analog & RF Specialist at SILICONID LTD, UK :
Biography : Dr. Mohamed Bouhamame received an engineering degree in electronic systems and computer engineering and an MSc in electronics from Polytech’Nantes, France, in 2004 and a Ph.D. degree from the University of Nantes, France, in 2009. He is a company director at SILICONID Ltd., a UK consultancy company offering analog, mixed-signal, and RF circuits using a deep sub-micron design with risk in control. Dr. Bouhamame is also a specialist analog and radio engineer with more than 17 years of experience in all aspects of analog and radio frequency engineering. His semiconductor experience ranges from 28nm pure CMOS technology to 0.5µm high voltage CMOS process. Within that range includes BCD, bipolar and Bi-CMOS processes. He has worked and consulted for several customers, including the top ten semiconductor firms where he could work on several applications such as Audio, Satellite, Cellular, Automotive (Radar, Lidar, TPMS), and Power Management. He has also shown a serious commitment to research, evidenced by publishing technical articles in journals associated with his TV tuner reception work. He has also filed two patents in the same area of expertise.
Dr. Bouhamame is a senior IEEE member and has received frequent invitations to serve as a reviewer for the field’s top conferences and journals, such a Solid-State Circuits and Circuits and Systems. Currently, his main research interests are in the area of IC implementation of wireless transceivers such as for 4G/5G and UWB applications.
Machine learning in manufacturing : Present and Perspective.
Dr. Catalin Iulian Pruncu, Politecnico di Bari, Italy:
Biography : Dr. Catalin Iulian Pruncu joined the University of Birmingham in 2014 to become a Research Fellow in the School of Mechanical Engineering. His research interests cover Product Design, Tribology, Fatigue and Fracture Mechanics and numerical compuation based on the Finite Element Method (FEM). After receiving his BS in Mechanical Engineering from University of Bacau (Romania) in 2008, Dr. Pruncu took a MSc in Mechanical Engineering in the University of Metz (France) in 2009. In 2013, he received a PhD in Design Mechanics and Biomechanics from the Politecnico di Bari (Italy). In 2013, he hold a post-doctoral position in the University of Valenciennes (France). His recent work is concerned in designing of critical products for IMI Truflo Marine Ltd. Extensive research must be carried out to detect and solve issues regarding engineering surfaces submitted to tribological contacts (i.e. ball, seat, and ball/seat/ body of valves). Besides, understanding the principle of design from customer route, drawings, modelling, manufacturing testing and quality is paramount important.
UNDERSTANDING THE BENEFITS OF MIMO RADAR TECHNOLOGY.
Prof. Mostafa Hefnawi, Royal Military College (RMCC), Canada:
The application of multiple-input multiple-output (MIMO) techniques to radar systems has received considerable attention recently. Unlike traditional phased-array radars in which a steered beam is used at the transmitter to scan a sector, MIMO radar transmits different waveforms from each omnidirectional antenna element simultaneously, allowing for a sector scan rate that is several times faster than steered beam radars. The waveforms with the target information can be extracted by a bank of matched filters at the receiver end. Generally, MIMO radar is implemented through either widely separated antennas or through colocated antennas using orthogonal independently transmitted waveforms. In a MIMO radar with widely separated antennas, each transmit-receive pair sees a different aspect of the target, which improves the detection probabilities of targets. This configuration relies on space diversity to improve the detection performance but does not provide the flexibility of transmitting the desired beampattern. On the other hand, in a MIMO radar with collocated antennas, the antenna elements are closely spaced so that each transmit-receive pair sees the same aspect of the target. In this talk, the potential benefits of MIMO radar and comparisons with conventional radars, will be investigated.
Biography : Dr. Mostafa Hefnawi is a Professor at the Department of Electrical and Computer Engineering at the Royal Military College of Canada (RMCC). His research is related to MIMO techniques, Cognitive Radios, and Software Defined Radio (SDR), with emphasis on their applications in 4G/5G wireless networks. Dr. Hefnawi is the founder and the leader of the SDR Research Laboratory at RMC that provides state-of-the research equipment where research activities in the fields of 4G/5G are conducted.
Prof. Mohamed Latrach, ESEO Angers, France:
Due to their increasing deployment, battery costs, environmental impact and the challenge of longer battery life, IoT devices and their sensors need a more eco-balanced and maintenance-free power source. This alternative source is based on the recovery of surrounding energy, and is the only way to avoid tons of battery waste and to ensure unlimited system operation. A various forms of surrounding energy sources which can be harvested, like electromagnetic waves, solar, wind, acoustic, thermal and mechanical. This Talk aims to present a study on energy harvesting techniques as alternative and promising solutions to power the IoT sensor devices. The principle, benefits and challenges of self-powered sensors will be discussed and analyzed.
Biography : Mohamed LATRACH (IEEE Member and URSI-France Member) received the Ph.D. degree in electronics from the University of Limoges, Limoges, France, in 1990. He is Professor of microwave engineering at École Supérieure d’Électronique de l’Ouest (ESEO), Angers, France. He is member of RF-EMC research group, Angers and Research Associate at the IETR, University of Rennes 1.
His main research interests are in the area of design and analysis of various antenna types, metamaterials, hybrid and MMIC circuits, wireless sensors, RFID, IoT, wireless power transfer and energy harvesting.
Mohamed LATRACH has supervised several doctoral, postdoctoral and master/engineer students. He has many publications and book chapters in the RF and microwave fields. He also holds three patents.
He serves as a reviewer for various journals and congress. He has delivered numerous invited presentations and has participated in many projects.
Prof. Alexandre Jean René Serres, The Federal University of Campina Grande, Brazil :
The increased demand for quality energy, generated by population growth and the dependence of modern society on electrical/electronic devices, results in the demand for increasingly reliable energy generation, transmission and distribution systems. This characteristic can be obtained from the elaboration of systems: redundant with adequate protection philosophies; with maintenance of energy quality indices and; with the application of predictive monitoring on the equipment that composes them, such as power transformers, circuit breakers, insulators, instrument transformers and others. These high voltage equipment are subject to various stress conditions due to intense electrical fields, chemical reactions, mechanical stresses, temperature variations and environmental phenomena to which they are subjected daily during their operation, resulting in failures. The radiometric method stands out as one of the most promising methods for monitoring these equipments. In this talk, the development of bioinspired shape antennas applied in high voltage equipment will be presented.
Biography : Dr. Alexandre Jean René Serres is an Associate Professor at the Federal University of Campina Grande, Brazil. He obtained a degree in Electrical Engineering from the National Polytechnic Institute of Grenoble (INPG – France 2005), a master’s degree in Electrical Engineering from the National Polytechnic Institute of Grenoble (2006) and a PhD in Electrical Engineering – Federal University of Campina Grande (2011). Since September 2011 he is professor in the Department of Electrical Engineering at the Federal University of Campina Grande where he coordinates the Radiometry Laboratory and the Electromagnetism Laboratory (LEMAG). Since March 2018 he has been a permanent member of the Graduate Program in the Department of Electrical Engineering at the Federal University of Campina Grande and he is actually the coordinator of this Program. His area of expertise is Telecommunications with works in Energy Harvesting, Radio Frequency Devices, Metamaterial, RFID and sensing, antenna miniaturization and FSS. He is a National Council for Scientific and Technological Development Research Productivity Scholar – Level 2 and Chair of the IEEE Chapter of the IEEE Antenna and Propagation Society of the Northeast Brazil Section.
Prof. Abdulsalam Yassine Associate Professor and Chair of the Software Engineering Department at Lakehead University, Thunder Bay, Ontario, Canada. :
Energy trading allows smart grid-connected parties to exchange energy among each other. Various schemes such as Vehicle-to-Vehicle (V2V), Vehicle to Building(V2B), Vehicle-to-grid (V2G), etc. allow users to receive monetary rewards while at the same time help to alleviate the imbalances between the supply and demand during peak hours. However, energy trading schemes face challenges and bottlenecks. First, lack of a secure, private, and transparent system to stimulate users to participate in the energy trading systems. Second, energy trading models require autonomous intelligent mechanisms that foster optimal strategies for users to take the most favorable energy transactions at a certain time of day to maximize their economic benefits. Such intelligent mechanisms require continuous learning to evolve with the changing environments. The first challenge can be tackled with blockchain technology, which permit users to store their state of energy supply/demand as assets that are immune to tampering and enhance security, privacy, and transparency. The second challenge can be addressed with artificial intelligence mechanisms and cooperative gaming that help users to build strategies to maximize on their trading decisions. This talk introduces the concept of energy trading, blockchain and its application in the domain, as well as examples from current research.
Abdulsalam Yassine received the B.Sc. degree in electrical engineering from Beirut Arab University, Lebanon, in 1993, and the M.Sc. and Ph.D. degrees in electrical and computer engineering from the University of Ottawa, Canada, in 2004 and 2010, respectively. Between 2001 and 2013, he was a member of the Technical Staff in the Wireless Communication Division, Nortel Networks, and later at Alcatel-Lucent, Ottawa, Canada. From 2013 to 2016, he was a Postdoctoral Fellow at the DISCOVER Laboratory, School of Electrical Engineering and Computer Science, University of Ottawa. Currently, he is an Associate Professor and Chair of the Software Engineering Department at Lakehead University, Thunder Bay, Ontario, Canada. He serves on the editorial board of the ACM Transactions on Multimedia Computing, Communications and Applications as an associate editor. His research interests are mostly focused on behavior and predictive analytics, big data systems and networks, artificial intelligence, blockchain technology, IoT system, smart cities, smart environments, and smart grids research and applications.
Collaborations and Sponsoring
The 4th International Conference on Computing and Wireless Communication Systems (ICCWCS) June 21-23, 2022 Tangier, MOROCCO
ICCWCS’22 Conference Co-Chair
Pr. Larbi Setti
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ICCWCS’22 Conference Chair
Pr. Ahmed EL OUALKADI
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ICCWCS’22 Conference Co-Chair
Pr. Mohamed Latrach
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General Chair of ICCWCS
Pr. Jamal Zbitou
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