Keynote and Plenary Sessions Speakers
Jerald Yoo (S’05-M’10-SM’15) received the B.S., M.S., and Ph.D. degrees in Department of Electrical Engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 2002, 2007, and 2010, respectively. Since 2017, he has been with the Department of Electrical and Computer Engineering, National University of Singapore, Singapore, where he is currently an Associate Professor. From 2010 to 2016, he was with the Department of Electrical Engineering and Computer Science, Masdar Institute, Abu Dhabi, United Arab Emirates, where he was an Associate Professor. He has developed low-energy body-area-network (BAN) transceivers and wearable body sensor network using the planar-fashionable circuit board for continuous health monitoring system. He has authored book chapters in Biomedical CMOS ICs (Springer, 2010) and in Enabling the Internet of Things—From Circuits to Networks (Springer, 2017). His current research interests include low-energy circuit technology for wearable bio signal sensors, flexible circuit board platform, BAN transceivers, ASIC for piezoelectric Micromachined Ultrasonic Transducers (pMUT) and System-on-Chip (SoC) design to system realization for wearable healthcare applications. Dr. Yoo is the recipient or a co-recipient of several awards: the IEEE International Circuits and Systems (ISCAS) 2015 Best Paper Award (BioCAS Track), ISCAS 2015 Runner-Up Best Student Paper Award, the Masdar Institute Best Research Award in 2015 and the IEEE Asian Solid-State Circuits Conference (A-SSCC) Outstanding Design Awards (2005). He was the Vice Chair of IEEE Solid-State Circuits Society (SSCS) United Arab Emirates (UAE) Chapter. Currently, he serves as a Technical Program Committee Member of the IEEE A-SSCC, IEEE Custom Integrated Circuits Conference (CICC), and the IEEE International Solid-State Circuits Conference (ISSCC) Student Research Preview (SRP). He is also an Analog Signal Processing Technical Committee Member of IEEE Circuits and Systems Society.
Professor ( Speaker of Plenary Session 1)
Adress:Electrical and Computer Engineering Department, National University of Singapore
On-Chip Epilepsy Detection: Where Machine Learning Meets Patient-Specific Wearable Healthcare Epilepsy is a severe and chronic neurological disorder that affects over 65 million people worldwide. Yet current seizure/epilepsy detection and treatment largely relies on a physician interviewing the subject, which is not effective in infant/children group. Moreover, patient-to-patient and age-to-age variation on seizure pattern makes such detection particularly challenging. To expand the beneficiary group to even infants, and also to effectively adapt to each patient, a wearable form-factor, patient-specific system with machine learning is of crucial.However, the wearable environment is challenging for circuit designers due unstable skin-electrode interface, huge mismatch, and static/dynamic offset. This lecture will cover the design strategies of patient-specific epilepsy detection System-on-Chip (SoC). We will first explore the difficulties, limitations and potential pitfalls in wearable interface circuit design, and strategies to overcome such issues. Starting from a 1 op-amp instrumentation amplifier (IA), we will cover various IA circuit topologies and their key metrics to deal with offset compensation. Several state-of-the-art instrumentation amplifiers that emphasize on different parameters will also be discussed. Moving on, we will cover the feature extraction and the patient-specific classification using Machine Learning technique. Finally,an on-chip epilepsy detection and recording sensor SoC will be presented, which integrates all the components covered during the lecture. The lecture will conclude with interesting aspects and opportunities that lie ahead.
Éloi Bossé, Ph.D.,received the B.A.Sc. (79), M.Sc. (81) and Ph.D (90) degrees from Université Laval, QC, in Electrical Engineering. In 1981 he joined the Communications Research Centre, Ottawa, Canada, where he worked on signal processing and high resolution spectral analysis. In 1988 he was transferred to the Defence Research Establishment Ottawa to work on radar target tracking in multipath. In (1992) he moved to Defence Research and Development Canada Valcartier (DRDC Valcartier) to lead a group of 4-5 defence scientists on information fusion and resource management. He has published over 200 papers in journals, book chapters, conference proceedings and technical reports. Dr.Bossé has held adjunct professor positions at several universities from 1993-2013 (Université Laval, University of Calgary and McMaster University). He headed the C2 Decision Support Systems Section at DRDC Valcartier from 1998 till 2011. Dr.Bossé was the Executive Chair of the 10th International Conference on Information Fusion (FUSION`07), held in July 2007 in Québec City. He represented Canada (as DRDC member) in numerous international research fora under the various cooperation research programs (NATO, TTCP, bi and tri-laterals) in his area of expertise. He is co-author and co-editor of 4-5 books on information fusion. He retired from DRDC in Sept. 2011. Since then, he conducted some research activities under NATO Peace and Security Programme, as researcher in Mathematics and Industrial Engineering Department at Polytechnic of Montreal, as researcher at McMaster University (Hamilton, Ontario, Canada), as associate researcher at IMT-Atlantique and, since 2015, as president of Expertise Parafuse Inc., a consultant firm on Analytics and Information Fusion technologies.
Researcher (Speaker of Plenary session 2)
Adress:McMaster University, Department of Electrical and Computer Engineering, Canada-Hamilton
Fusion of Information and Analytics Technologies (FIAT) for Big Data and IoT Information overload and complexity are core problems to both military and civilian complex systems, networks and organizations of today. The advances in networking capabilities have created the conditions of complexity by enabling richer, real-time interactions between and among individuals, objects, systems and organizations. On the other hand, what is considered as problems for system designers is technological opportunities for deciders, for instance, the Internet of Things and the Big Data. Fusion of Information and Analytics Technologies (FIAT) are key enablers to bring these benefits to deciders. The design of current and future decision support systems (real-time, online, and near real-time) make use of FIAT to support prognosis, diagnosis, and prescriptive tasks for systems. Hundreds of methods and technologies exist, and several books have been dedicated to either analytics or information fusion so far. However, very few have discussed the methodological aspects and the need of an integrating framework or a computational model for an integration of these techniques coming from multiple disciplines. This plenary speech presents anoverview of potential integrating frameworks as well as a description of elements that will support the development of a computational model to evolve FIAT-based systems capable of meeting the challenges of complex systems.
Mohamed-Slim Alouini was born in Tunis, Tunisia. He received the Ph.D. degree in Electrical Engineering from the California Institute of Technology (Caltech), Pasadena, CA, USA, in 1998. He served as a faculty member in the University of Minnesota, Minneapolis, MN, USA, then in the Texas A&M University at Qatar, Education City, Doha, Qatar before joining King Abdullah University of Science and Technology (KAUST), Thuwal, Makkah Province, Saudi Arabia as a Professor of Electrical Engineering in 2009. Professor Alouini has won several awards in his career. For instance, he recently received the 2016 Recognition Award of the IEEE Communication Society Wireless Technical Committee, the 2016 Abdul Hameed Shoman Award for Arab Researchers in Engineering Sciences, and the Inaugural Organization of Islamic Cooperation (OIC) Science & Technology Achievement Award in Engineering Sciences in 2017. Other recognitions include his selection as (i) Fellow of the Institute of Electrical and Electronics Engineers (IEEE), (ii) IEEE Distinguished Lecturer for the IEEE Communication Society, (iii) member for several times in the annual Thomson ISI Web of Knowledge list of Highly Cited Researchers as well as the Shanghai Ranking/Elsevier list of Most Cited Researchers, and (iv) a co-recipient of best paper awards in eleven IEEE conferences (including ICC, GLOBECOM, VTC, PIMRC, ISWCS, and DySPAN)..
Professor (Speaker of Plenary Session 3)
Adress:Computer, Electrical and Mathematical Science and Engineering Division of King Abdullah University of Science and Technology (KAUST) Thuwal, Makkah Province, Saudi Arabia.
Collimated light propagation: The next frontier in underwater wireless communication Traditional underwater communication systems rely on acoustic modems due their reliability and long range. However their limited data rates, lead to the exploration of alternative techniques. In this talk, we briefly go over the potential offered by underwater wireless optical communication systems. We then summarizes some of the underwater channel challenges going from severe absorption and scattering that need to be surpassed before such kind of systems can be deployed in practice. We finally present some of the on-going research directions in the area of underwater wireless optical communication systems in order to (i) better characterize and model the underwater optical channel and (ii) design, develop, and test experimentally new suitable modulation and coding techniques suitable for this environment.
Ahmed CHEMORI. was born in Constantine. He received his B.Sc. and M.Sc. degrees in electronics from the university of Mentouri - Constantine, in 1998 and 2000. He received his M.Sc. and Ph.D. degrees, both in automatic control from Politechnical Institute of Grenoble, France, in 2001 and 2005 respectively. During the year 2004/2005 he has been a Research and Teaching assistant at Laboratoire de Signaux et Systèmes (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 (adaptive and predictive) control with special emphasis on their real-time application in robotics (underactuated mechanical systems, parallel Kinematic Manipulators, underwater vehicles, exoskeletons and humanoids). He is the author of more than 85 scientific publications, including international journals, patents, book chapters and international conferences. He co-supervised 13 PhD theses (including 6 defended) and more than 35 MSc theses. He served as a TPC/IPC member or associate editor for different international conferences and he organized different scientific events (e.g. PKM 2016 summer school and WIR 2017 workshop). In April 2017 he has been visiting Huazhong University of Science & Technology in China, as an invited researcher/lecturer. He has been as invited plenary/keynote lecturer for various international conferences.
Professor (Speaker of Keynote Lecture SAC-1)
Adress:Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM)
Robotics Today: Research and Applications Robotics is an interdisciplinary branch of engineering that includes mechanical
engineering, electrical engineering, computer engineering, control engineering and
others. It deals with design, construction and use of robots, as well as computer systems for
their control, sensory feedback, and information processing. It may overlap with different
fields such as electronics, computer science, mechatronics, artificial intelligence,
nanotechnology and bioengineering. Robotics was initially and for a long time guided by
needs in industry. Indeed, the early years of robotics was largely focused on robotic
manipulators, mainly used for simple and repetitive automation tasks. The first industrial
robot manipulator appeared in 1961 in the assembly lines of General Motors. Year after
year, the progress of robotics and automation, as well as their associated innovative
applications, have been noticed every day through the consideration of more and more
complex tasks needing higher performances; such as those for operating in dangerous and
hazardous environments. These complex and challenging tasks require a deeply
understanding of robotic systems in different points of view, including mechanical design,
kinematic and dynamic modelling, sensing, actuation, control design, optimization, etc.
Nowadays, robotics is highly advanced, including different fields and applications; namely
industrial robotics, mobile robotics, bioinspired robotics, micro-robotics, humanoid robotics,
aerial robotics, space robotics, marine robotics, medical robotics, service robotics,
wearable robotics, etc. This talk will give an overview of most of these robotic fields through
various videos illustrating needs, challenges and applications.
Mamoun F. Abdel-Hafez is a professor with the Department of Mechanical Engineering at the American University of Sharjah (AUS). He received his B.S. in Mechanical Engineering from Jordan University of Science andTechnology in 1997, his M.S. in Mechanical Engineering from the University of Wisconsin, Milwaukee in 1999, and his Ph.D. degree in Mechanical Engineering from the University of California, Los Angeles (UCLA) in 2003. Dr. Abdel-Hafez served as a Post DoctoralResearch Associate in the Department of Mechanical and Aerospace Engineering at UCLA in 2013, where he was involved in a research project on fault-tolerant autonomous multiple aircraft landing. He served as the director of the Mechatronics Graduate Program at the American University of Sharjah from 2014-2015. Since September 2015, he is serving as the Head of the Mechanical Engineering Department at AUS. Dr. Abdel-Hafez research interests are in stochastic estimation, control systems, sensor fusion andfault detection. Dr. Abdel-Hafez is the recipient of many awards. Among which: he was the leader of a team that won the 2017 UAE AI/Robotics for Good Award, he was awarded the 2011 AUS provost challenge, and the 2002 NASA PEAR award.
Mamoun F. Abdel-Hafez
Professor (Speaker of Keynote Lecture SAC-2)
Adress:American University of Sharjah
Enabling Algorithms for Low-Cost, High-Integrity and High-Accuracy Autonomous Systems In this talk, sensor fusion methods applied to navigation and autonomous systems will be presented. The need for high-precision and high-cost sensors to enable high accuracy state estimation and subsequent guidance and control will be highlighted. For low-cost applications, these sensors cannot be afforded. Therefore, the presenter will discuss the use of low-cost sensors for these applications. To enable a high-integrity and high-accuracy solution from these low-cost sensors, sensor fusion algorithms will be proposed to handle the possible high-magnitude noise and bias errors in the sensors. Different alternative algorithms will be demonstrated. These algorithms will be validated on a number of experimental case-studies.
Quanmin Zhu .is Professor in control systems at the Department of Engineering Design and Mathematics, University of the West of England, Bristol, UK. He obtained his MSc in Harbin Institute of Technology, China in 1983 and PhD in Faculty of Engineering, University of Warwick, UK in 1989. His main research interest is in the area of nonlinear system modelling, identification, and control. His other research interest is in investigating electrodynamics of acupuncture points and sensory stimulation effects in human body, modelling of human meridian systems, and building up electro-acupuncture instruments. He has published over 200 papers on these topics, edited five Springer books and one book for the other publisher, and provided consultancy to various industries. Currently Professor Zhu is acting as Editor of International Journal of Modelling, Identification and Control, Editor of International Journal of Computer Applications in Technology, Member of Editorial Committee of Chinese Journal of Scientific Instrument, and editor of Elsevier book series of Emerging Methodologies and Applications in Modelling, Identification and Control. He is the founder and president of series annual International Conference on Modelling, Identification and Control.
Professor (Speaker of Keynote Lecture SAC-3)
Adress:Department of Engineering Design and Mathematics, University of the West of England, Bristol, UK
Dealing with nonlinearities in dynamic system, modelling, identification and control--- linear approaches
Two not well attended issues will be explained if they could be useful/worthwhile being for further studied and tested in applications.
- Total nonlinear systems -- Rational model
- U-model enhanced control system design framework.
The purpose of the speech is not only to introduce some fundamental techniques, but more importantly to show the speaker’s research insight/philosophy in the challenging research and application domain. The later aspect is particularly suitable for PG students and new researchers. In addition, the speaker will use his sense of humour to link modelling and control to many fields encountered almost in daily life and work.
Youcef SOUFI received the B.Eng. (1991) and Doctorate degrees from the University of Annaba, Algeria in Electrical Engineering. Since 2000 he has been with the Department of Electrical Engineering, Laboratory of Electrical Engineering at the University Larbi Tebessi,Tebessa, Algeria where he is currently an Associate Professor in electrical engineering. His main and current major research interests include Renewable energy, electrical machines control, power electronics and drives. He has published and co-authored more than 80 technical papers in scientific journals and conference proceedings since 2000. He is the member of editorial board of 5 journals, and the member of technical program committee / international advisory board / international steering committee of many international conferences.
Professor (Speaker of Keynote Lecture PSE-1)
Adress:University of Tebessa (Algeria)
Smart Grids for Smart Cities: Challenges, Technology and Applications One of the biggest challenges facing the world today is to efficiently manage energy generation, distribution and consumption, to cope with the increased demand while reducing carbon emissions while still delivering sustainable, economic and secure supplies. Electric power systems throughout the world are facing radical change stimulated by the pressing need to decarbonise electricity supply, to replace ageing assets and to make effective use of rapidly developing information and communication technologies . In the last two decades, the demand of electricity has gradually increased worldwide and massive power outages are likely to become more probable with the increasing age and load of power infrastructures, with the complexity of the power system operation. Thus, the development and implementation of a smart grid for power supply is one of the pressing issues in modern energy economy and it is promoted by many governments as a way of handling energy independence, global warming and security of supply. The smart grid delivers electricity from producers to consumers using two-way digital technology, and allows control of appliances in the consumers' houses and of machines in factories to save energy, while reducing costs and increasing reliability and transparency through automated control, high power converters, modern communications infrastructure, sensing and metering technologies, and modern energy management techniques based on the optimization of demand, energy and network availability. This presentation addresses critical issues on smart grid Challenges, development and Opportunities where the main objective of this presentation is to provide a contemporary look at the current state of the art in smart grid as well as to provide a better understanding of the technologies, potential advantages and research challenges of the smart grid and provoke interest among the research community to further explore this promising research area.
Ghanim Putrus is Professor of Electrical Power Engineering, Faculty of Engineering and Environment, Northumbria University, UK. He has over 25 years of research experience with over 150 publications, including one patent, and has given several invited talks at national and international events.
He has been involved in several research projects and has often provided consultancy for industry. He is involved in the Institution of Engineering and Technology (IET) professional activities and served on the executive committee of their Power Trading and Control Professional Network (2001-2009) and chairman of the IET Northumbria branch for 2004/2005 session. He is Associate Editor of the Elsevier Renewable Energy journal. He organised UPEC2006 conference and is member of the steering committees for several international conferences.
His main research interests are application of power electronics in power systems, power quality, integration of renewable energy sources and electric vehicles into power distribution networks (smart grids).
Professor (Speaker of Keynote Lecture PSE-2)
Adress:Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
Sustainable Green Energy Autonomy in a Smart Grid The market for renewable energy supply and electric transport is expected to continue to grow due to concerns about the climate change and sustainability of energy supply. Renewable energy sources are usually distributed and generation is intermittent and difficult to predict. Electric vehicles (EVs) are characterised by their high energy capacity and mass deployment. These features will have significant impact on the way energy is generated and used in the future. Whilst they present challenges for stakeholders involved in the electricity supply (grid control, utilities, customers, etc.) and transport sector (EVs manufacturers, owner, users, etc.) they also provide opportunities for meeting local energy demands from sustainable energy resources and ultimately deliver environmental improvement and wealth creation.
This talk will give an overview of recent development in the electricity supply industry and transport sector, focusing on the challenges and opportunities resulting from the increased use of renewable energy sources and electric vehicles. It will present the concept of the “smart grid” and its role in meeting user requirements and delivering efficient, sustainable, economic and secure energy supply.
Mohammed T. Lazim is employed by Philadelphia University in Jordan as Professor of Electrical and Electronics Engineering. Previously, he was employed by Nahrain University in Iraq as Head of Electronics and Communications Engineering Department and Chief Consultant of Nahrain University Engineering Bureau. Lazim received his B.Sc. and M.Sc. degrees in Electrical Engineering from the University of Baghdad in 1967 and 1975 respectively , and Ph.D. degree in Electrical and Electronics Engineering from the University of Bradford in the UK in 1981. Previously, he worked as Associate Professor of Electrical Engineering and Head of the Electrical and Electronics Engineering Department at the Military Engineering College at Baghdad – Iraq. He also worked as Visiting Associate Professor of Electrical Engineering at the University of Technology-Iraq and as Associate Professor at the Electrical Engineering Department at University of Baghdad, Head of Computer Science Department, and Head of Operational Research Department at Mansour University College at Baghdad – Iraq. He has been employed as a design, development and consultant engineer with the ministry of Defence, Ministry of oil, Ministry of Industry and Ministry of Electricity in Iraq. Dr. Lazim is actively involved in teaching, researching, and lecturing in power electronics, electrical power systems, economics of energy resources, electrical machines, and control engineering. He has published 7 books listed in the Iraqi and Jordanian National Libraries and more than 60 technical papers and research reports.
Mohammed T. Lazim
Professor (Speaker of Keynote Lecture PSE-3)
Adress:Philadelphia University in Jordan
Renewable Plus Nuclear Power are the Energies of the Futur Energy demand is projected to grow in whole of the world countries due to population growth, economic growth Industrialization, desalination etc. The drivers for development of new energy options for any country can be summarized in five basic forces: (1) to reduce the cost to the consumer, (2) to reduce the cost of electricity to industry, (3) to protect the environment, (4) to diversify the supplies (to enhance national security), and (5) to export electricity.However, energy options in most of the world countries are limited. Fossil fuel such as coal, oil and natural gas are subjected to price variations, political issues, and cannot be relied on for longer term since they are depleted resources. Renewable energy resources are free, but their technologies are mainly high cost, limited utilization, and cannot be base load. Also they are usually distributed and generation is intermittent and difficult to predict. Nuclear Power is an important energy option for electricity generation, desalination and on the longer term process heat and hydrogen production. The Uranium resources in some countries should be treated as strategic asset for whole of the world. This talk will give an overview of energy options in the electricity generation sector, focusing on the challenges and opportunities resulting from the increased use of renewable and nuclear energy sources. It will present the improvement worldwide prospect of both the renewable and nuclear power as future energies.
Abdenour Hadid received the Doctor of Science in Technology degree in electrical and information engineering from the University of Oulu (Finland) in 2005 and the Professional Specialization Studies in Business Engineering from Oulu University of Applied Sciences in Finland in 2008. Prof. Hadid made excellent contributions to many topics in computer vision. He was very productive and published over 170 articles over the
last 15 years giving an average of more than 10 articles per year.
His research works have been well referenced by the research community with more than 10700 citations so far according to Google Scholar (and an h-Index of 35). Among his significant scientific achievements with his colleagues at University of Oulu is the methodology for face detection and recognition using Local Binary Patterns (LBP) which has evolved to present a major breakthrough in face analysis. A popular Springer book on Computer Vision using Local Binary Patterns has been co-authored. A prestigious “Jan Koenderink Prize” for fundamental contributions
in computer vision has also been received. Prof. Hadid participated and played a key role in different European projects. One of these projects (http://www.tabularasa-euproject.org/) has been selected as a Success Story by the European Commission. His achievements have been recognized by many awards and grants including the highly competitive Academy Research Fellow position from the Academy of Finland during 2013-2018, and a very prestigious international award within the 100-Talent Program (Outstanding Visiting Professor) of Shaanxi Province, China. These significant achievements would not have been possible without his rich international network of collaborators in France, Algeria, Spain, Italy, Japan, China, South Korea, Japan, Canada, USA, Switzerland and UK.
Prof. Hadid is currently a senior member of IEEE and the Chairman of the Pattern Recognition Society of Finland.
Professor (Speaker of Keynote Lecture CSP-1)
Adress: University of Oulu, Finland, Senior Member of IEEE
Artificial Intelligence for Non-Contact Health Diagnosis During the past decade, there have been numerous research and development efforts in the field of wearable health monitoring systems that were motivated by the need to monitor a person's health status outside of the hospital. However, most current techniques typically require users to strap on bulky sensors, chest straps or sticky electrodes. This obviously discourages regular use because the
sensors can be uncomfortable or encumbering. Hence, in order to make health monitoring part of the fabric of everyday life, there is a need for revolutionary technologies that are comfortable (e.g. non-invasive and contact free), simple to use and unobtrusive. This presentation discusses the recent advances in using computer vision and artificial intelligence for designing futuristic unobtrusive
technologies for health diagnosis and monitoring that people can effortlessly use in their daily lives without any contact.
Mohamad Alkhudary is currently the CEO of Green Circle Co, an IT Security Solutions company. He has worked with several renowned companies including HP. Mohamad Alkhudary is a visionary and he is leading multiple Non-profit Organizations specially in Cyber Security. His vision is to enhance IT - Industrial and IoT security Industry through Green Circle Co, and expanding the vision to Middle east and beyond, holds BCs in Computer Engineering from Philadelphia University- Jordan.
Engineer (Speaker of Keynote Lecture CSP-2)
Adress:Green Circle Co.
Securing Internet of Things (Securing IoT)
The era of the Internet of Things (IoT) where all devices are digitally connected and impacting on every part of our lives, as our homes, work, transportation and even our bodies. With the adoption of new technologies (AI, Bigdata) and the wide deployment of Wi-Fi networks, IoT is growing at a dangerously fast pace, and researchers estimate that by 2020, the number of active wireless connected devices will surpass 42 billion,
- Introducing IoT
- Why IoT Security is so critical.
- What Technologies/Framework govern this area.
- Areas of Development.
- Business impact and future trends.
Mohamed Siala received his general engineering degree from Ecole Polytechnique, Palaiseau, France, in 1988, his specialization engineering degree in telecommunications from Telecom ParisTech, Paris, France, in 1990, and his Ph.D. in digital communications from Telecom ParisTech, Paris, France, in 1995. From 1990 to 1992, he was with Alcatel Radio-Telephones, Colombes, France, working on the implementation of the GSM physical layer. In 1995, he joined Wavecom, Issy-les-Moulineaux, France, where he worked on advanced multicarrier communications and channel estimation for low-orbit mobile satellite communications. From 1997 to 2001, he worked at Orange Labs, Issy-les-Moulineaux, France, on the assessment of the performance of the physical layer of 3G systems and participated actively in their standardization. In 2001, he joined Sup’Com, Tunis, Tunisia, where he is now a full Professor. His research interests are in the areas of digital and wireless communications with special emphasis on advanced multicarrier systems and ARQ, channel estimation, synchronization, adaptive modulation and coding, MIMO systems, space-time coding, relaying, cooperative networks and cognitive radio.
Professor (Speaker of Keynote Lecture CSP-3)
Adress:Higher School of Communication of Tunis, Sup'Com, Tunisia
Flexible and Simplified Waveform Design for 5G Systems
The current standardization activities of the upcoming 5G radio communication system classify the plethora of services to be offered in the near future into three categories, namely:
- Enhanced Mobile Broadband services, which require very clean communication channels, obtained by orthogonal or quasi orthogonal waveforms and perfect synchronization in time and in frequency,
- Massive IoT services, which sporadically exchange small amounts of data and, as such, call for non-orthogonal waveforms capable of offering a satisfactory quality of service in the presence of time and frequency asynchronism, and
- Low Latency services, which require the use of reduced duration waveforms, capable of withstanding asynchronism in time.
In this talk, we start by providing a short overview of the Ping-pong Optimized Pulse Shaping (POPS) paradigm, a powerful tool for the optimization of the transmission and reception waveforms for the aforementioned categories.We then examine some transmission configurations that illustrate the flexibility and simplicity of the POPS paradigm. Firstly, we compare OFDM/QAM and OFDM/OQAM systems, potentially targeted to Enhanced Mobile Broadband, and show the merits of OFDM/QAM in terms of drastic complexity reduction, at the price of a slight reduction in spectrum efficiency. Secondly, we compare hexagonal time-frequency lattice multicarrier systems, suitablefor Massive IoT, to classical rectangular time-frequency lattice multicarrier systems, and assess the increase in quality of service they procure. Lastly, we consider Flexible Zero Padding (FZP) multicarrier systems, a new architecture, intended to Low Latency services, which bridges the gap between CP-OFDM and ZP-OFDM, while offering the shortest waveform durations.
Olfa Kanoun is a full professor for measurement and sensor technology at Chemnitz University of Technology, Germany. She studied electrical engineering and information technology at the Technical University in Munich from 1989 to 1996, where she specialized in the field of electronics. During her PhD at the University of the Bundeswehr in Munich she developed a novel calibration free temperature measurement method, which was awarded in 2001 by the Commission of Professors in Measurement Technology (AHMT e. V.) in Germany. As senior scientist from 2001-2006 she founded a working group on impedance spectroscopy and carried out since then simultaneously research on energy autonomous sensor systems for wireless sensors in smart home applications. In her research she focuses on diverse aspects sensors, measurement systems and measurement methods for improving sensory information increasing flexibility and by using smart materials. On-going research projects are focusing on battery diagnosis methods, material testing by impedance spectroscopy, availability and conversion of ambient energy, design of energy autonomous systems, energy conversion from electrostatic field, smart energy management, strain and pressure measurement by sensors based on carbon nanotubes (CNT).
Professor (Keynote Lecture SCI-1)
Next Generation Wireless Energy Aware Sensors for Internet of Things Wireless sensors and wireless sensor networks are gaining importance in several fields of applications. Especially in the internet of things context, their use become extensive and the aspect of energy supply becomes more and more essential as there is a massive use of sensors, which are spatially distributed and easy maintenance becomes a key aspect for the acceptance of this technology. In this paper, we focus on novel trends for supplying WSN from ambient energy and by wireless energy transmission. Nowadays different converters are available for ambient energy sources, such as solar radiation, vibration and electromagnetic fields. The improvements made in the last years have shown that it is possible to improve energy efficiency by suitable converters and on the other side to reduce energy consumption of sensor nodes, so that the use of these emerging technologies becomes increasingly realistic and practicable. We report about possibilities for improving energy income by improvements of energy transducers and combination of them to hybrid converters. Different techniques for enhancing efficiency of energy converters and reducing energy consumption on node and network level are described.
Prof. A. Errachid, male, is a Full Professor in Claude Bernard University-Lyon. He is the author or co-author of more than 182 papers in scientific journals, 450 papers in peer-reviewed conference proceedings, more than 13 chapters in books and the inventor of 3 patents (Patent Cooperation Treaty). Prof. A. Errachid has an extensive expertise in EU projects coordination and participation, including Coordination in KardiaTool (H2020, no.768686), HEARTEN (H2020, no. 643694), COSMOS (H2020, no.661484) and he has been involved as a principal investigator and team leader in several European Projects under H2020 (MicroMole), FP7 (SensorART, BOND, SEA-on-a-chip, SMARTCANCERSENS),FP6 (DVT-IMP, MAPTech, Nano2Life, Cell-PROM, ARES, VECTOR, SPOT-NOSED), and as well as NATO (Coordinator), INTAS and TEMPUS International Projects and national projects (MICROMENCE, MINAHE I, MINAHE II and PETRI).
Prof. A. Errachid is a head of the Micro/NanoBiotechology group, which is one of three groups based in the team Sensors-Micro&nanosystems-Surfaces (SIMS).
Professor (Keynote Lecture SCI-2)
Adress:ISA (Institut des Sciences Analytiques)
Real time monitoring of SEA contaminants by an autonomous Lab-on-a-CHIP biosensor (Sea-on-a-Chip) European maritime regions account for over 40% of the EU gross national product (GNP). Between 3 and 5% of Europe’s GNP is estimated to be generated directly from marine based industries and services. Coastal waters generate 75% of the ecosystem service benefits for Europe’s coastal zone estimated to have an equivalent value of €18 billion/annum. In addition, the non-quantifiable value of the marine resource should not be underestimated as it has a direct impact on quality of life, health societal and business development in Europe. Chemical contamination of estuarine and coastal areas is a highly complex issue with negative implications for the environment and human health (through the food chain) and related coastal industries such as fisheries. Early warning systems that can provide extreme sensitivity with exquisite selectivity are required. SEA-on-a-CHIP aims to develop a miniaturized, autonomous, remote and flexible immuno-sensor platform based on a fully integrated array of micro/nano-electrodes and a microfluidic system in a lab-on-a-chip configuration combined with electrochemical detection (impedimetric measurements) for real time analysis of marine waters in multi-stressor conditions. This system was developed for a concrete application in aquaculture facilities, including the rapid assessment of contaminants affecting aquaculture production and also those produced by this industry, but it is easy adaptable to other target compounds or other situations required by early warning systems for coastal waters contamination analysis.
Prof. Aimé Lay-Ekuakille (SM’12), received the M.D. degree in electronics engineering from the University of Bari, Italy, the M.D. degree in clinical engineering from the University of L’Aquila, Italy, and the Ph.D. degree in electronics engineering from the Polytechnic of Bari, Italy. Director of Instrumentation and Measurement Lab at University of Salento. He is currently scientific advisor of Italian national committee for Integrated Pollution Prevention and Control, and health issues and Senior advisor of the Italian Ministry of Environment. He serves as Chairman of Imeko TC19 "Environmental Measurements" and IEEE IMS TC34 "Nanotechnology in Instrumentation and Measurement". He is in the boards of different international journals, namely, Associate Editor of IEEE Sensors Journal and Measurement (Elsevier). He authored and co-authored more than 240 papers on International journals and proceedings. He co-edited 3 international books and also authored and co-authored 2 international books. His main research areas are: Biomedical, industrial and Environmental Measurements and Instrumentation, nanotechnology, and sensors and sensing systems.
Professor (Keynote Lecture SCI-3)
Adress:University of Salento
Networking and Measurements in Critical Industrial and Environmental Areas: Advances in Instrumentation and Techniques, Bio-Monitoring and Real Time Calibration. A full demand of environmental certification of areas from pollution is a matter of growing interest. Pollutants and disruptors have been impacting on the human health and environmental matrices. Networking measurement nodes, with dedicated instrumentation and techniques, is a way to perform on-line and off-line controls to delivery timely certification of a certain area. The paper illustrates advances in the field of sensing systems and related instrumentation used for monitoring environmental matrices. Used networking includes CPS (Cyber-Physical Systems) and real time calibration. Some practical and experimental examples and applications are also illustrated.