Keynote and Plenary Sessions Speakers
Earned his Ph. D in Electrical Engineering from Ecole Polytechnique of Montreal, University of Montreal, Quebec, Canada in 1996. He worked for the Research Institute, KFUPM, Dhahran, Saudi Arabia, in several power system projects. He was involved with Hydro-Quebec Research Institute, Montreal, Canada in several power system analysis projects. Since 1996, he is conducting teaching and research work at the Electrical Engineering Department at KFUPM. His areas of interest are renewable energy resources performance and modelling, electric and magnetic fields studies and impact on human health analysis, power system analysis and modeling.
Chokri Belhadj Ahmed (Keynote Speaker for PSE)
Performance of Photovoltaic (PV) Systems The performance of the system, which mainly concerns the energy output, both in quantity and in timing, depends on the operating conditions and the detailed configuration of the system. In turn, the operating conditions depend on the location of the system, which governs the solar irradiation received, the ambient temperature and other climate-related aspects that influence the system performance. How the system performs determines its technical and economic feasibility. This lecture focusses on how to measure and assess the performance of the components of the PV systems and on how to define and address the performance of the PV system in the field. PV systems performance deals with the performance of the PV module, which performs the actual conversion process including measurement of the module rating, prediction of energy yield and changes to module performance in operation. Performance of the PV system includes the balance of system components, prediction and monitoring of PV system output and the environmental assessment of the systems. Finally, PV performance considers individual system types, including grid-connected and stand-alone system configurations, concentrator systems and specific performance aspects relating to building integration.
Prof. Quoc Tuan TRAN received his PhD degree in Electrical Engineering and his “Habilitation à Diriger des Recherches” degree (Dr. Habil) from the Grenoble Institute of Technology (Grenoble-INP), France, in 1993 and 2000, respectively. He is currently Professor at the INSTN (National Institute for Nuclear Science and Technology, Paris Saclay University) and International Expert / Director of Research at the CEA (Atomic Energy and Alternative Energies Commission), Scientific Manager for Smart Grids at the CEA/INES (National Institute for Solar Energy) and Teacher at the INSTN and the Grenoble-Alpes University. His research interests are in the fields of smart city, smart grid, microgrid, power system, renewable energy, solar energy, storages, electric vehicles, energy management and control. He holds 6 patents, is (co-)author of five books, and author of more than 200 publications in journals and conference proceedings. He has supervised (Director of Thesis) 38 PhD students. He is senior member IEEE and Member of executive committee of Smart Grid Institute. He has realized and piloted more than 50 European and International projects.
TRAN Quoc Tuan (Keynote Speaker for PSE)
Electrical Energy Storage and its Advanced Role in Power Electrical System and Micro-Grids
The integration of Renewable Energy Resources, in particular solar PV, into Power Electrical System and Microgrids can cause several impacts, due to their intermittent characteristics. These impacts on the grid operation may include voltage variations, frequency variation, voltage unbalance, stability, protection and challenges for managing… These effects are even more complicated for islanded or weak grid areas. Solutions by using Electrical Energy Storage (EES) can significantly reduce these impacts and can contribute ancillary services for power system. This keynote presents experiences of CEA-INES on modelling of ESS and also solutions by applying intelligent control and energy management of Electrical Energy Storage systems for:
- Frequency control
- Voltage control
- Congestion management
- Guarantee power
- Stability improvement …
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)
Application of deep learning in Arabic
speech processing and recognition The presentation will give an overview of the recent advances in the applications of deep learning in language processing in general and speech recognition in particular. The talk will then provide a short review on the challenges facing Arabic Language and the recent research in Arabic language and Arabic speech. Finally we present our research activities along several Arabic language applications including, transcription of Arabic news, speech recognition of
Arabic dialects, Arabic language modeling using RNN, Arabic phoneme recognition, speech segmentation, automatic restoration of diacritical marks of Arabic text, Quran recitation, on-line Quran annotation, recognition of poem meters, and provide an overview of Arabic conversational agent.
Demba DIALLO: Professeur des Universités, Université Paris Sud, Université Paris-Saclay
Prof. Demba DIALLO received the M.Sc. and Ph.D. degrees both in Electrical and Computer Engineering, from
the National Polytechnic Institute of Grenoble, France, in 1990 and 1993 respectively.
After graduation, he worked from 1994 to 1999 as a Research Engineer at the Laboratoire d’Electrotechnique de
Grenoble, France. He was in charge of developing electrical drives and active filters both for teaching and
In 1999, he joined the University of Picardie “Jules Verne” as Associate Professor in Electrical Engineering. In
September 2004, he moved to the University Paris Sud where he has been elevated to the grade of Full Professor
in 2009. Since 2004, he has been developing his research activities in the laboratory Group of Electrical
Engineering Paris (GeePs).
Professor Demba DIALLO has supervised 16 PhD students since 2000 and is currently supervising 6 PhD
Professor Demba DIALLO is an IEEE Senior member (SM05)
Since April 2018, he is a 1000 talent expert for the Shanghai Maritime University
His area of research includes advanced control techniques for AC drives, fault detection and diagnosis,
fault tolerant control, renewable energies, energy management for microgrids (electric vehicle, smart
buildings and autonomous systems).
Professor Demba DIALLO has published more than 150 papers in high standard journals and conferences, two
book chapters and one international patent.
MAJOR WORK EXPERIENCE
• At the national level, from 2010 to 2014, he was the leader of the research group on Design, Control
and Diagnosis (10 permanent staff, 20 PhD students).
• From 2006 to 2017, he was a co-leader of a national research group on Control of Electrical Drives.
• From 2016 to 2017, he was co-leader of a national research group on diagnosis and prognosis.
• He is member of the Editorial Board of the French Electrical Engineer Junior Research Conference.
• Since January 2018, he is the Director of the French National Research Group of Electrical Engineering
(GdR2994 SEEDS) of the French National Scientific Research Centre (CNRS).
• Since 2015, he is in charge of the international relations of the laboratory Group of Electrical
Engineering Paris (GeePs).
• Editor of IEEE Transactions on Vehicular Technology (2007-2019).
• He is currently Editor for the Journal Energies (MDPI).
• He has served in 2012 as General Chair of the PES IEEE Renewable Energy and Vehicular Technology
Conference and in 2014 as Program chair of the PES IEEE International Conference on Green Energy.
• He has organised more than 10 special sessions in IEEE conferences and chaired more than 20 sessions.
He has also served as member of more than 20 PhD jury panels in France and abroad (Danemark,
• Professor Demba DIALLO has appraised several national and international projects (French National
High Education Committee of Evaluation, French National Techologic Research Agency, AB
Storstockholms Lokaltrafik Fordonsavdelningen, SE-105 73 Stockholm, National Sciences and
Engineering Research Council of Canada).
Demba DIALLO (Keynote Speaker for PSE)
Incipient Fault Detection and Diagnosis Fault detection and diagnosis has been an emerging topic for more than 30 years in all the engineering sectors. Because of the increasing requirements for more safety, reliability and cost effective industrial processes, a lot of methods have emerged for the monitoring of more and more complex systems. However most of fault indicators are devoted to detect significant abrupt deviations related to specific features but they fail to detect and estimate slight distortions caused by gradually evolving faults. At their earliest stage, they are called incipient faults and are defined through a Fault-to-Noise Ratio (FNR). In the region where the fault is concealed in the noise and causes small changes in the process measurements. It is therefore important to design a methodology from knowledge building to fault detection and diagnosis performances assessment that can fulfil the more and more demanding requirements.
Faïz Ben Amar received the Graduate degree, in 1990, from the Ecole Nationale Supérieure des Arts et Métiers, of Paris (France), a Master and Ph.D. in Robotics from University Pierre et Marie Curie in 1994. He was associate professor at University of Versailles and he is now full professor at Sorbonne Université. He is the team leader of the SyRoCo group attached to the ISIR (Institute of Intelligent Systems and Robotics). Faïz Ben Amar was untrusted with several teaching responsibilities including the direction of the master in Engineering Sciences and then the management of the speciality of Master in Advanced Systems and Robotics. He is actually head of the Doctoral School in Engineering Sciences at Sorbonne Université. He has developed an important collaborative research across many national projects (industrial, MESR, ANR, FUI, DGA) and European (EU-NoE, Intas, FP7, H2020). His research concerns land and marine mobile robotics, design and control of high mobility articulated rovers, modular robotics, navigation on uneven ground, vehicle dynamics, humanoid postural balance and walking.
Faïz Ben Amar (Keynote Speaker for SAC)
Outdoor mobile robotics: from design to motion control and planning With the present environmental challenges, agriculture and construction are two major economic branches for the future of robotics. In order to address the environment conditions in these kind of applications, robots must be fast and agile enough to explore and operate quickly in a large space, guarantee their integrity and that of the environment, and self-adapt to highly variable soil conditions and irregular surfaces with obstacles. In this presentation we will discuss aspects related to the design and control of agile robots with a high number of degrees of freedom capable of safely crossing any obstacles, without a priori knowledge of their shape and precise position. In a second part, we will address issues related to fast rover navigation and particularly their control based on a predictive based approach in the presence of slippages, rollover risks, and collision constraints, as well as the online estimation of the physical and geometric parameters of the local ground surface, required for the model based controller.
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)
The Planck Balance - calibration of E2 mass standards using the new definition The Planck Balance (PB) is an electronic mass comparator, which allows the calibration of weights in a continuous range from 1 mg to 100 g using a fixed value of the Planck constant, h. It uses the physical approach of Kibble balances that allow the Planck constant to be derived from the mass.
Using the Planck-Balance no calibrated mass standards are required during the calibration of mass standards any longer, because all measurements are traceable via the electrical quantities to the Planck constant h, and to the meter and the second. This allows a new type of balance after the redefinition of
the SI-units on 20th of May 2019. In contrast to many scientific oriented developments of Kibble balances, the Planck Balance is focused on robust and daily use. The Planck Balance will allow relative measurement uncertainties comparable to the accuracies of class E2 mass standards, as specified in OIML Recommendation R 111-1. The Planck Balance is developed in a cooperation of the Physikalisch-Technische Bundesanstalt (PTB) and the Technische Universität Ilmenau in a project funded by the German Federal Ministry of Education and Research.
- Born in Wuppertal, Germany
- School incl. Evening Highschool
- Apprenticeship as Telecommunicationengineer
- Technical Education In Europe and USA
- Electronic and Computerbased system services, International Companies
- Amongst others worked for Intel Inc. and VLSI Technology Inc.
- Since 1998 focussed and specialized on radiocommunication solutions for the industry, e.g. as General Mgr. Circuit Design GmbH, Radio solution products.
- Since 2002 Chairman of ISAD e.V. isadev.org Association of Short Device Manufacturer and User in Europe
- Since 2003 activ in Standardisation and Regulation Matters, Member of ETSI (GA, OCG, TC BRAN, TC ERM within several WG’s, TC RRS – related RED Art. 3.3. and Art. 4.), CEPT ECC Groups like SE24, SRD-MG, and more.
- Currently consulting and training customers on Standardisation and RED issues (e.g. Conformity process) to drive technical EN Standards for the wireless industry
Olaf Schwab (Speaker for the Special Session of Education)
Standardization in Wireless Communication
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).
Olfa Kanoun (Speaker for the Special Session of Education)
Practice in IoT
Dr. Ibrahim Badran is the Advisor to the President for International Relations at the Philadelphia University (Amman – Jordan). He holds membership of a number of organizations including the National Council for Family Affairs, the Royal Advisory Committee for Education. His previous posts responsibilities included Dean of Faculty of Engineering Philadelphia University, Advisor to the Prime Ministry, Supervisor of Human Rights Unit at the Prime Ministry, Secretary General of the Ministry of Industry & Trade. Dr. Badran received his Master’s degree in Near Eastern Studies from Princeton University (2003). He Chairs the Princeton Alumni committee in Jordan.
Ibrahim Badran (Plenary Speaker, Speaker for the Special Session of Education)
Energy in a Changing World
- Accelerating pace and ever-widening horizon of change in the world
- Role of Energy in modern society
- The question that needs to be answered continuously : How to deal with energy for the future ?
- Energy dilemma has to be solved on 3 levels : Global, National, Region
The Arab Region in particular, additional amounts of energy are required to an average of 3.5 t.o.e per capita by 2050 to meet : (i) industrialization of the national economies, (ii) facing severe water shortage, (iii) facing desertification pressures, (iv) controlling air temperature, (v)Technology, Research and joint projects.
- Role of Engineering in modern societies .
- Involvement of engineering in every aspect of human life from micro cells in the human body to stars in the universe .
- The 5 aspects of engineering problem in the Arb World.
- Engineering in figures c.f, e.c.m.i. index, engineering index, engineering idex and gdp/capita
- Engineering education in the Arb World.
- Engineering education in the Universities .
- Do we have engineering graduates or real engineers ?
- Why engineering projects in the Arb World are mainly designed and executed by foregion engineering firms.
- Global Engineering trends for the future.
- Arab Engineering trends for the Future.
- Engineering Mentality and Engineering skills .
- Engineering skills
- Reverse engineering
- Projects through all years of study
- Engineering Entrepreneurship
- Building proto-types
Mohamed Deriche received his B.Sc. degree in electrical engineering from the National Polytechnic School, Algeria, and his Ph.D. degree in signal processing from the University of Minnesota in 1994. He worked at Queensland University of Technology, Australia, before joining King Fahd University of Petroleum and Minerals (KFUPM) in Dhahran, Saudi Arabia, where he leads the signal processing group. He has published more than 300 papers in multimedia signal and image processing. He delivered numerous invited talks and chaired several conferences including GlobalSIP-MPSP, IEEE Gulf (GCC), Image Processing Tools and Applications, and TENCON (a Region 10 conference). He has supervised more than 35 M.Sc. and Ph.D. students and is the recipient of the IEEE Third Millennium Medal. He also received the Shauman Best Researcher Award, and both the Excellence in Research and Excellence in Teaching Awards at KFUPM.
Mohamed Deriche (Keynote Speaker for CSP)
Faical Mnif is a Professor of Control Engineering at the Ecole Nationale d’Ingenieurs de Sfax-ENIS. Currently, he is on leave to Sultan Qaboos University at the department of Electrical and Computer Engineering Program. While at SQU, he has been very active in Quality Assurance of Engineering Programs and has chaired the ABET accreditation processes of the Mechatronics Engineering Program in 2007-2009, and the Electrical and Computer Engineering Programs, 2010-2013 and 2016-2019 respectively. He serves as the ABET-SQU institution representative, and also as a member of a number of university and college Quality Assurance/Accreditation committees.
Faisal Mnif ( Speaker for the Special Session of Education)
Higher education quality assurance involves the formal assessment and analysis of performance monitoring processes and areas of progress. Within the scope of globalization, it is not possible to ensure credit transfer and student mobility, to address the needs of manpower, or to increase economic productivity without maintaining the performance of higher education programs. In a globalized framework of the job market, Engineering graduates should prove themselves as having a solid educational foundation and are being capable of leading the way in innovation, emerging technologies, and in anticipating the welfare and safety needs of the public. Generally, Quality assurance and improvement in higher education are achieved through accreditation. To name just two agencies; ABET, the EUR-ACE (European Accredited Engineer). Both agencies of them accredit also international programs. As a student, your degree is a significant achievement and perhaps the largest investment you will make toward your future. The quality of education you receive makes a big difference in your career success. Accreditation:
- Verifies that your educational background meets the global standard for technical education in your profession.
- Enhances your employment opportunities in multinational companies.
- Paves the way for you to work globally.
As an institution, accreditation tells your prospective students, peers and the professions you serve that your program:
- Has received international recognition of its quality.
- Promotes “best practices” in education.
- Directly involves faculty and staff in self-assessment and continuous quality improvement processes.
- Is based on “learning outcomes,” rather than “teaching inputs.”
This talk will focus on ABET accreditation process, and will clarify the ways to go through all its stages. Nevertheless, if the institution choses to seek accreditation from any other agency, the procedures should not be much different, as the whole idea focus on i) satisfying a number of criteria ii) a thoroughly assessment process, and iii) a well-documented and published information.
Anis Koubaa is a Professor in Computer Science, Director of the Research and Initiative Center, Aide to the Rector on Research Governance, and Leader of the Robotics and Internet of Things Research Lab at Prince Sultan University. He also served R&D Consultant at Gaitech Robotics in China and has been a Senior Researcher in CISTER/INESC TEC and ISEP-IPP, Porto, Portugal. He has been the Chair of the ACM Chapter in Saudi Arabia since 2014. He is also a Senior Fellow of the Higher Education Academy (HEA) in the UK.
He received several distinctions and awards, including the Rector Research Award in 2010 at Al-Imam Mohamed bin Saud University and the Rector Teaching Award in 2016 at Prince Sultan University. He is the author of several Springer books, including five books on Robot Operating Systems (ROS). He has also been actively participating in program committees of several international conferences including, the ACM/IEEE International Conference on Cyber-Physical Systems, International Conference on Robotic Computing, European Conference on Wireless Sensor Networks, IEEE International Conference on Autonomous Robot Systems and Competitions, IEEE International Workshop on Factory Communication Systems. He is the author of more than 200 journal and conference publications and one patent.
His research interests include, but not limited to, Robot Operating System (ROS), UAVs, Artificial Intelligence and Deep Learning, Internet-of-Things, and Mobile Robots.
Anis Koubaa (Keynote Speaker for CSP, Speaker for the Special Session of Education)
Robot Operating System (ROS): How did it revolutionize robotics software development?
Robot Operating System (ROS) becomes nowadays the de-facto standard for developing robotics applications. The pre-birth initiatives were emerging from STanford AI Robot (STAIR) project and Personal Robots (PR) program, which aimed at creating dynamic software systems for robotics applications, until 2007 when Willow Garage, a major robotics investor, boosted the development of this initiative and contributed to the release of the first ROS software packages in 2009. The first version of ROS was released in 2010 and nowadays ROS becomes the largest ecosystem and platform for robotics software development. In just a few years of its release, ROS has witnessed a huge community with increasing number of users and developers from academia and industry, as well as hobbyists. How did ROS revolutionize robotics software development in just a few years?
In this presentation, I will give an overview of ROS and its evolution in the past years after its release. I will unveil the secrets of ROS that makes it a revolutionary solution for developing robotics applications. I will share my experience, as a computer scientists working on robotics, with developing robotics applications in the pre-ROS and post-ROS times, and how ROS made a complete shift in the software engineering and development approaches for mobile robots. The presentation will also give a small overview of the main concepts of ROS and the most important libraries and packages that comes with it. Video demonstrations and real illustrations will be presented.
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.
Sebastian Bader (Keynote Speaker for SCI)
Energy harvesting in smart industrial machines: Generating the energy you need from the sources you know 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.
Mohamed Djemaï IEEE Senior member, is currently full professor at University Polytechnic Hauts-de France, Valenciennes, France since 2008 and a member of LAMIH Laboratory (CNRS - UMR)
Prior to that, Professor Djemaï obtained his B.Sc. in electrical engineering from ENP-Alger, Algeria in 1991, his M.Sc. (DEA) and PhD in Control and Signal System from University of Paris-Sud, France in 1992, and January 1996 respectively. He joined ENSEA in September 2000 as associate professor and he was deputy director of ECS-Laboratory. He is member of 2 IFAC TC-2.1 control system, and TC-1.3 on Discrete Event and Hybrid Systems, and 2 IEEE TC on hybrid systems and TC on VSS & SMC. Prof. Djemaï was visiting professor at Norhumbria university (2010-2013). His research interests are mainly related to nonlinear control systems, observation, and fault detection theory including hybrid system, variable structure systems and time scale systems, with applications to power systems, robotic and vehicles. He published more than 72 journals and 150 Conf. papers in his area of research. He was the co-editor of IFAC’CHAOS’06 Conference, and co-editor of Special issue on time-scale systems in Nonlinear Analysis Hybrid Systems, co-author 03 books. Prof. Djemaï organised 4 International Conferences : EFEEA in 2012, in Newcastle and in 2014 in Paris, and he was a Co-General chair of IEEE-ISCS’2013, and CEIT’2015.
Mohamed Djemaï (Plenary Speaker )
Hybrid Dynamical systems : a time scale approach
Dr. Saber Darmoul has B.Eng. and M.Sc. degrees in Automation and Control Engineering with highest distinction from the National Institute of Applied Sciences and Technology (Institut National des Sciences Appliquées et de Technologie, INSAT), which is one of Tunisia’s renowned universities of Engineering Education. He has a Ph.D. degree in Computer Engineering from Université Clermont Auvergne (formerly known as Université Blaise Pascal), France. Currently, he is Professor of Industrial Engineering at Ecole Centrale Casablanca, Morocco, which is member of the international network of French Ecole Centrale (Groupe Ecole Centrale, GEC), with campuses in France, China, India, and Morocco. His expertise areas are related to Systems Engineering, with emphasis on system design, performance optimization, industrial information systems, and production planning, monitoring and control. His research interests focus on distributed control of manufacturing, service, and cyber-physical systems using artificial intelligence. Dr. Darmoul is exploring the use of distributed artificial intelligence (multi-agent, holonic and bionic/bio-inspired systems) to monitor and control disruptions and risks in manufacturing, service and cyber-physical systems. Applications include Intelligent Manufacturing Systems, and Intelligent Transportation Systems (ITS). Dr. Darmoul is leading several funded research projects in industry 4.0 and smart manufacturing, transportation and traffic engineering, human machine interaction and virtual reality.
Saber Darmoul (Keynote Speaker for SAC)
Immunity to change: Artificial Immune Systems (AIS) for Cyber-Physical Systems (CPS) In cyber-physical systems (CPS), such as intelligent production and service systems (e.g. flexible/reconfigurable manufacturing systems), and intelligent transportation systems (public transportation and traffic control), change can have important impacts on organization, performance, quality of service and user safety and satisfaction. Change can be expected or unexpected. It can be related to product/service requirements and design, resource availability and reliability, process capability, and environment (natural, social, legal, economic) stability. For example, change in production systems may appear in the form of several kinds of disturbances (also called disruptions), such as supply unavailability, machine failures, tool breakage, workforce absenteeism, quality problems, rush orders, etc. In transportation systems, accidents, traffic congestion, or freeing the way to emergency vehicles (ambulances, firefighters, etc.) may disturb the fluidity of traffic and affect the expected execution of preset organization and pre-established timetables of public transportation resources (buses, trains, metros, trams, etc.). Thus, detecting disturbances on-line, and identifying their risky consequences timely are important tasks that enable advised decision-making and reaction to maintain performance and quality of service. The speech will provide an overview of artificial immune systems (AIS) as an artificial intelligence paradigm to achieve distributed and adaptive control of change and disturbances in CPS. A generic reactive decision-making framework will be presented, on-going developments in manufacturing and transportation systems will be described, and future research opportunities will be highlighted.