Keynote Speakers

Magdi S. Mahmoud, King Fahd University of Petroleum and Minerals, KSA

«Control and Optimization of Distributed Generation Systems»

Abstract: The existing electricity grid has small number of producers, long distribution ways and high maintenance cost. It is also difficult to achieve load balancing. Moreover, the depleting fossil fuels and the adverse effect on environment by its consumption has gain multi-national interest in reducing the excess use of nonrenewable energy resources and many nations are keeping tap on Co2 emissions.
The main concerns with the existing centralized power system grid have led to Increasing demand and lack of high reliability and security threats with power quality, to name a few.
This in turn urges the need to incorporate distributed generating (DG) units into the existing power systems consumers. DG units are the emerging micro-generating technologies such as micro-turbines, fuel cells, Internal Combustion (IC) engines. It also make use of renewable energy sources such as Photo Voltaic (PV) arrays and wind turbines. The DG units have low emission rates, environment friendly and are economical. The introduction of DG units should reduce the pressure on central power grid principally but in technically speaking, penetration of distributed generation into the power grid creates a new class of issues different from those found in traditional power sources.

In this presentation, motivation towards development of DG and an overview will be presented on the two key aspects, modeling and control, of DG. Recent developments in these two key aspects will be presented. A better control strategy, by viewing DG as a special case of system of systems (SoS), will be discussed.

Magdi S. MahmoudBiography: MagdiSadek Mahmoud obtained B. Sc. (Honors) in communication engineering, M. Sc. in electronic engineering and Ph. D. in systems engineering, all from Cairo University in 1968, 1972 and 1974, respectively. He has been a professor of engineering since 1984. He is now a Distinguished University Professor at KFUPM, Saudi Arabia. He was on the faculty at different universities worldwide including Egypt (CU, AUC), Kuwait (KU), UAE (UAEU), UK (UMIST), USA (Pitt, Case Western), Singapore (Nanyang) and Australia (Adelaide). He lectured in Venezuela (Caracas), Germany (Hanover), UK ((Kent), USA (UoSA), Canada (Montreal) and China (BIT, Yanshan). He is the principal author of thirty-four (34) books, inclusive book-chapters and the author/co-author of more than 500 peer-reviewed papers.  He is the recipient of two national, one regional and four university prizes for outstanding research in engineering and applied mathematics. He is a fellow of the IEE, a senior member of the IEEE, the CEI (UK), and a registered consultant engineer of information engineering and systems (Egypt). He is currently actively engaged in teaching and research in the development of modern methodologies to distributed control and filtering, networked-control systems, triggering mechanisms in dynamical systems, fault-tolerant systems and information technology. He is a fellow of the IEE, a senior member of the IEEE, the CEI (UK), and a registered consultant engineer of information engineering and systems Egypt.


Frederic Mazenc, CR at INRIA EPI DISCO

«Stabilization of Time-Varying and Nonlinear Systems with Pointwise and Distributed Delays Through the Reduction Model Approach»

Abstract: The reduction model approach is a well-known stabilization technique for systemswith input delays. It is effective for stabilizing continuous-time linear time-invariant systems with arbitrarily long pointwise or distributed input time-invariant delays. Recent extensions of this technique have been developed. We will present three extensions: we will show how (i) several families of time-varying systems can be handled (ii) local stabilization results for nonlinear systems with estimates of the basins of attraction (iii) the sampled control can be used when a limitation on the size of the sampling interval is imposed. Lyapunov-Krasovskii functionals are key tools of the proofs of our results.

Frederic MazencBiography: Frederic Mazenc received his Ph.D. in Automatic Control and Mathematics from Ecole des Mines de Paris in 1996. He was a Postdoctoral Fellow at CESAME at the University of Louvain (in 1997) and the Centre for Process Systems Engineering at Imperial College (from 1998-9). He was a CR at INRIA Nancy from 1999 to  2004, and at INRIA Sophia-Antipolis from 2004 to 2009. He is now a CR at INRIA EPI DISCO, and a member of the Laboratory of Signals and Systems (L2S) at CNRS. He won a best paper award from the IEEE Transactions on Control Systems Technology at the 2006 IEEE Conference on Decision and Control. His  interests include nonlinear control theory, differential equations with delay, robust control, and microbial ecology. He has more than 180 peer reviewed publications. Together with Michael Malisoff, he authored a research monograph entitled 'Constructions of Strict Lyapunov Functions' in the Springer Communications and Control Engineering Series.

Ahmed Chemori, LIRMM CNRS/University Montpellier 2, France

«From Challenges to Control Solutions in Underwater Robotics: Beyond the Lab Experiments »

Abstract: Underwater vehicles have gained an increased interest in the last decades given the multiple tasks they can accomplish in various fields such as dams’ inspection, oil and gas industry, and environmental investigations. One of the potential applications of these systems deals with underwater inspection of facilities such as bridges, hydraulic dams, boat hulls, aquatic environments, etc. When we are interested in autonomous control of Remotely Operated Vehicles (ROVs), different challenges may arise. These challenges are mainly due to the inherent high nonlinearities and time varying behavior of the vehicle’s dynamics subject to hydrodynamic effects and external disturbances.
In order to avoid the degradation in the performance of the controlled system during a specific mission, the vehicle is expected to possess a self tuning ability and robustness to compensate for different kinds of uncertainties, parameters variation and external disturbances. That is why adaptive and robust controllers are very popular for such systems.
The heart of this talk is organized in four main parts. The first one deals with an overview of the context of underwater inspection and its related control problems and challenges. The second part introduces our three underwater vehicles, namely the AC-ROV, the LIRMIA2 and the L2ROV.  In the third part, the proposed adaptive and robust control solutions will be presented as well as their real-time implementation on the above underwater vehicles. The obtained results are illustrated through different experimental results in different conditions in a swimming pool environment. The last part shows the application of some of the proposed control strategies in challenging real operating conditions in the Mediterranean sea.

Magdi S. MahmoudBiography:Ahmed Chemori is a senior research scientist at Montpellier Laboratory of Informatics, Robotics and Microelectronics (LIRMM), a joint research laboratory related to the French National Center for Scientific Research (CNRS) and the University of Montpellier. He received his MSc and PhD degrees respectively in 2001 and 2005, both in automatic control from the Grenoble Institute of Technology. He has been a Post-doctoral fellow with the Automatic control laboratory of Grenoble in 2006. His research interests include nonlinear, adaptive and predictive control and their applications in underwater robotics, parallel kinematic manipulators, humanoid robots, underactuated mechanical systems, and hard disc drives.
Email: :,


Mohamed-Slim Alouini, Computer, Electrical, and Mathematical Science and Engineering (CEMSE), Division King Abdullah University of Science and Technology (KAUST), Saudi Arabia

Abstract: Rapid increase in the use of wireless services over the last two decades has lead the problem of the radio-frequency (RF) spectrum exhaustion. More specifically, due to this RF spectrum scarcity, additional RF bandwidth allocation, as utilized in the recent past, is not anymore a viable solution to fulfill the demand for more wireless applications and higher data rates. Among the many proposed solutions, optical wireless communication (OWC) systems have gained an increasing interest due to their advantages including higher bandwidth and higher capacity compared to the traditional RF communication systems. This promising technology offers full-duplex Gigabit throughput in certain applications and environment while benefiting from a huge license-free spectrum, immunity to interference, and high security. These features of OWC communication systems potentially enable solving the issues that the RF communication systems face due to the expensive and scarce RF spectrum. The first part of the talk will give an overview of OWC systems by offering examples of advantages and application areas of this emerging technology. In the second part of talk, we will focus on some recent results and on-going research directions in the accurate characterization of the performance of OWC systems in the presence of inevitable impairments due to atmospheric turbulence and misalignment between transmitter and receiver.

Keywords/Mots-clefs: Optical wireless communication, free space optical communication, atmospheric turbulence, pointing error, Gamma-Gamma fading, Lognormal fading, and capacity and error rate computation.

Mohamed Slim AlouiniBiography: Mohamed-Slim Alouini (S'94, M'98, SM'03, F’09) 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. His current research interests include the modeling, design, and performance analysis of wireless communication systems.



Ghada M. Amer, Vice President the Arab Science and Technology Foundation (ASTF)

«Arab Science and Technology Foundation (ASTF) Efforts to Encourage Arab Universities toward Entrepreneurship and innovations »

Abstract: The Arab Science and Technology Foundation (ASTF) is an independent, non-governmental, non-profit regional and international organization. ASTF was formed out of a need expressed by Arab scientists to develop practical means to advance science and technology (S&T) in the Arab region. During the first international symposium on “Scientific Research Outlook in the Arab World and the New Millennium: Science and Technology,” which was held at the University of Sharjah in the United Arab Emirates in April 2000, 425 Arab scientists from around the world decided to found ASTF as, non-profit Pan-Arab organization.
ASTF Play the role of mediator between those who produce, develop and fund scientific research on the one hand and those who benefit from it on the other.
In all its activities, ASTF assumes the role of Catalyst, Mediator, and Supporter of innovation in Science and Technology in the Arab world.  With its Headquarter in Sharjah - UAE, ASTF seeks to fulfill its mission as a pan- Arab organization by establishing branch offices in Arab capitals and liaison nodes in other parts of the world. At present, ASTF branch offices are in Baghdad, Cairo, Tunis, Amman, Morocco, Libya and Sudan, in addition to a representative branch in Washington DC, USA.

ASTF’s targets include enhancing investment in technology, promoting joint research; particularly research that leads to community development, with special attention to Women and Youth, ASTF has 15 Years of successful S&T Initiatives in The Arab World and has developed a large experience in: 

  1. Develop and mobilize the human resources in support of scientific and technological research projects selected on the basis of merit and consistent with development priorities.
  2. Developing and implementing new approaches to exploit science and technology for the development of the region
  3. Developing single country, bilateral or regional science and technology programs designed to support knowledge based economies
  4. Building and supporting science and technology capacity
  5. Encourage and support the spirit of Entrepreneurship, and creation of the Start-ups based on the innovative ideas in the Arab Region.
  6. Moving Research results into the marketplace
  7. Transition of this knowledge and capacity to nascent national or regional funding organizations

ASTF assumes the role of Catalyst, Mediator and Support of Innovation in S&T in the Arab region. Its programs promote international cooperation in S&T, and research projects leading to the development, it indiscriminately targets scientists, technologists, and investors, regardless of political, social or geographical differences. ASTF is committed to promote coordination and cooperation among scientists and scientific organizations in order to apply knowledge that will forward the sustainable development of the Arab countries. By developing and supporting innovation scientific projects, ASTF is striving to spark interest, from the general public up to the decision makers; such new scientific initiatives could influence the whole Arab World. ASTF extending worldwide to 29k+ Arab scientist and ties with 400+ Int. Institution, with focus on 18 Arab countries.  ASTF managed to: Dispersed mm$ 30+ Fund for R&D; extending to 750+ Researchers in 142 RDI Projects. Collect 1200++ Business Ideas, Finalists 205, Trained 2500+ Entrepreneurs, supported 110+ Start-ups, and Assisted to Establish 72 Companies.
In the paper Arab Science and Technology Foundation (ASTF) Efforts during 15 years to Encourage Arab Universities toward Entrepreneurship and innovations will be presented

Ghada AmerBiography: Ghada Amer, Professor of Electrical Engineer, is the Vice President the Arab Science and Technology Foundation (ASTF). She holds few more positions within her profession, like the Head of Electrical Engineering Department at Benha University and the CEO of the Global Awqaf Research Center (GARC).

Also because she believe on the important of R&D for her community (not only in Egypt, but in all Arab countries) she create an entity for research and training called AccuTraining, which based on UAE.

She was names in Jan 2014 as one of “Top 20 Influential Muslim Women Scientist in the World”, by an international committee residing on Muslim-Science, as an emerging champion “power woman”.  Also she ranked the first place for the 50 most prominent leader of the Arab woman in 2014 issued by the Sayidaty magazine.

Born in Manama, Bahrain, 1972, a Chess Champion, 1986-1990 in Kuwait., she lead many student activities and was awarded "Best Leader for Student Activity Award", 2006 at Benha University. And, she was named as a best leader on 2002 by the Egyptian national“Institute for Leadership Development”. She received her training on Control and Instrumentation in Electrical Engineering (B.Sc. 1995), Electrical Power Engineering (M.Sc., 1999) and PhD. degree in Electrical Power Engineering from faculty of engineering, Cairo University, 2002.She served as a lecturer (1996 till present), a head of department (2007-2010 and 2013 till present) and an S&T Advisor (2008-2010). On her academic career, she served as member of scientific committees, chairman and editor of many regional and international scientific conferences. Beside, being an editor of two international journals on her field of specialty. She received "Best Research Paper Award" CATAEE Conference, Jordan, 2004. She is an active member of the main committee of the Egyptian Engineering Syndicate. Her present research interests are the protection system, power system, high voltage engineering, effect of EMF of high voltage transmission lines, and biomedical engineering.

Internationally, Ghada is active on scientific collaboration she became a member of Third World Organization for Women inScience TWOWS 2008,and a member of the organizing committee (2011) for “Arab-American Frontiers of Science, Engineering and Medicine” symposium that is organized by the Kuwait Institute for Scientific Research (KISR) and the US National Academies.She, actively, participates in many collaborative programs.

Ghada Amer is active advocate for socio-economic development that is based on RDI within her country and the region. She worked as a volunteer with the Arab Science and Technology Foundation (ASTF) and later joined as the Manager for Women Programs. For her active participation, she was elected as a member of the Board of Directors (2011) thin the VP of the Foundation (2012 till present). Within her involvement with the ASTF, she developed and led more than 20 projects and programs to support scientific development and entrepreneurship.

-For more information please check the following links

Mohamed Siala, Sup’Com, Tunis, Tunisia

«POPS-OFDM: Ping-pong Optimized Pulse Shaping OFDM for 5G Cellular Systems and Beyond»

Abstract: Next generation mobile communication systems will face stringent propagation conditions ranging from large Doppler spreads in frequency to excessive multipath spreads in time, both of which can be of natural or artificial origins. First of all, natural severe Doppler dispersions are to be experienced in next generation mobile communications because of expected high speed mobility as well as the use of new frequency bands beyond those used today. Secondly, slower loops for time advance and frequency control, needed to alleviate the synchronization overhead burden for very small packet communications, needed in low latency applications of tactile internet, will incur severe synchronization errors especially in the time domain. Last but not least, the use of the CoMP (Coordinated Multi-Point) technique, in its JP (Joint Processing) version, and the MBMS (Multimedia Broadcast Multicast Service) services in LTE, and its SFN (Single Frequency Network) counterpart in DVB-T, will cause severe artificial time dispersions that cannot be tackled by today cyclic prefix OFDM systems.
Unfortunately, conventional OFDM with CP (Cyclic Prefix) can no longer cope with these severe and challenging impairments, which will for sure be faced by 5G systems and beyond. The proposed solution, subject of the keynote speech, is to have recourse to pulse shaped (PS) OFDM. The idea behind PS-OFDM is to use non-perfectly orthogonal waveforms, unlike those of conventional OFDM, which can however better stand against time and frequency channel distortions.
After presenting an overview of conventional OFDM with guard interval insertion, with both its PC and ZP (Zero Padding) versions, and OFDM/OQAM, we present a new paradigm for simple and systematic pulse shape optimization for any given channel impairments: POPS-OFDM (Ping-pong Optimized Pulse Shaping OFDM). We show how the new waveforms can withstand these impairments, how we benefit from an increased robustness to unexpected time and frequency synchronization errors, and how we can dramatically reduce out of band spurious emissions for a peaceful coexistence of adjacent frequency and power uncoordinated transmissions.
We finish the keynote speech by presenting several perspectives for pulse shaping, pertaining to partially equalized OFDM, multi-pulse OFDM and single- and multi-pulse OFDM/OQAM.

Mohamed SialaBiography: 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 GSM physical layer. In 1995, he joined Wavecom, Issy-les-Moulineaux, France, where he worked on advanced multicarrier modulations and channel estimation for low-orbit mobile satellite communications. From 1997 to 2001, he worked at Orange Labs, Issy-les-Moulineaux, France, on the physical layer of 3G systems and participated actively on the standardization of the physical layer of the UMTS system. 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 OFDM with optimized pulse shaping, channel estimation, efficient synchronization algorithms for OFDM, optimum combination of adaptive modulation and coding and power control, ARQ, MIMO systems, space-time coding, relaying, cooperative networks and cognitive radio with efficient multiband sensing. Mohamed Siala holds around 190 journal and conference research papers and 6 patents on channel estimation for CDMA and OFDM.

Basel Solaiman, Laboratoire L.E.P (Phillips/France)

«Possibilistic Scene Interpretation»

Abstract: Scene interpretation is defined as the process, based on expert's fixed goals, and allowing the automatic extraction of meaningful semantic information content by the application of image analysis and image understanding approaches as well as the use knowledge representation and reasoning techniques. Several approaches ofscene interpretation have been proposed. Most of these approaches use hierarchical interpretation strategy using different semantic levels of detail. Two major scene interpretation strategies are already proposed: Image-driven and model-driven scene interpretation strategies. In image-driven scene interpretation, also referred to as bottom-up strategy, processing proceeds from digital images to features components extraction (partitioning the observed image into meaningful features such as segments, lines, regions, objects…) to features description and characterization, and finally to features recognition (assigning semantic labels to each feature component based on its intrinsic attributes or its context vis-à-vis its neighboring features). On the other hand, model-driven, or top-down strategy, consists on the use of a set of assumptions/properties/models of expected scene contents, i.e. feature components such as regions, objects….. The properties of these feature components are tested against a set of feature component prior models, or representations, of ever decreasing levels of abstraction. Through a series of test/validate processes, one eventually reaches an interpretation at the parent image semantic level.
Major difficulties in scene interpretation are related to: the knowledge representation of different elements constituting the scene (pixels, regions and objects) as well as the relationships between these elements; the interpretation strategy; and, the management of different forms of information imperfections related to the used data, sensors as well as the knowledge injected by the experts.
Main challenges in the field of scene interpretation are:

1) Knowledge representation, i.e. how to model prior knowledge about possible scene description?

2) Hypotheses matching, i.e. how to match possible scene descriptions against incomplete and erroneous detections of objects in an image?

3) Inference, i.e. how to derive inferences from prior knowledge in order to improve and complete the scene description?
Two types of knowledge can be exploited in scene interpretation approaches:

  • Descriptive knowledge related to the used sensors as well as the expert's knowledge. This knowledge may be given/expressed through different forms (symbolic or numeric), and may suffer from different forms of imperfection (uncertainty, ambiguity, missing data, reliability….);
  • Operational knowledge related to the proposed methods and algorithms allowing to extract meaningful information from the observed image analyzing;

It is worthwhile to notice that human knowledge is generally expressed using epistemic terms not only because they are the most common form for the representation of human knowledge but because our knowledge about many aspects is ambiguous. Keeping this observation in mind, the presented research work proposes a possibilistic-based scene interpretation approach that can embrace human-like intelligence in image understanding and scene interpretation as we humans do.
This presentation is organized as follows. After the presentation of the scene interpretation concepts, a brief introduction to the possibility theory is given. The application of possibilistic knowledge representation and reasoning mechanisms into the major scene semantic levels (i.e. sub-pixel, pixel, region, object and global scene) is detailed using two real-world scene cases: environmental scene observed using multispectral remote sensing imaging, and a medical scene concerning mammographic median imaging. Results and research openings are detailed and discussed.
Mohamed SialaBiography: Basel Solaiman Ingénieur Télécom (Ecole Nationale Supérieure des Télécommunications, 83), Ph.D., et Habilitation à Diriger des recherches, 97 (Université de Rennes I). Chercheur du Laboratoire L.E.P (Phillips/France), Ingénieur Chef de Projet à l'Institut d'Informatique Industrielle/France jusqu'en 1991. Il est actuellement Professeur et Chef du Département Image et Traitement de l'Information à Télécom Bretagne. Il a publié plus de 200 articles scientifiques, trois livres académiques et a assumé plusieurs postes de responsabilités au sein de la société IEEE.

Wagah F. Alazzawi, Electronic Research Group, Philadelphia University, Jordan

«Technologies and Applications of Photovoltaic Solar Cell»

Abstract: There are four main types of renewable energies; solar energy, wind energy, hydro and geothermal energy and biomass energy. Solar energy, in one form or another is the source of nearly all energy on the earth. Photovoltaics (PV) are a simple, practical and elegant method of harnessing the sun's energy.  PV devices (solar cells) are unique in that they directly convert the incident solar radiation into electrical power, with no noise, pollution or moving parts, making them robust, reliable and long lasting. Solar cells are based on the same principles and materials behind the communications and computer revolutions. This presentation covers the operation, use and applications of photovoltaic devices and systems. Mainly there are two types of photovoltaic devices; crystalline silicon (monocrystalline and polycrystalline) and thin-film solar cell devices.
 Unlike monocrystalline-based solar panels, polycrystalline solar panels do not require the Czochralski process. Raw silicon is melted and poured into a square mold, which is cooled and cut into perfectly square wafers. The process used to make polycrystalline silicon is simpler and cheaper. The amount of waste silicon is less compared to monocrystalline. On the other hand the efficiency of polycrystalline-based solar panels (typically 13-16%) is lower than monocrystalline because of lower silicon purity.  It is generally needed to cover a larger surface to output the same electrical power as compared with a solar panel made of monocrystalline silicon.
Depositing one or several thin layers of photovoltaic material onto a substrate is the basic gist of how thin-film solar cells are manufactured. The different types of thin-film solar cells can be categorized by which photovoltaic material is deposited onto the substrate, namely: Amorphous silicon (a-Si), Cadmium telluride (CdTe), Copper indium gallium selenide (CIS/CIGS) and Organic photovoltaic cells (OPC). Depending on the technology, thin-film module prototypes have reached efficiencies between 7–13% and production modules can operate at about 9%. Future module efficiencies are expected to climb close to the about 10–16%. The advantage of thin film solar cells that mass-production is simple. This makes them potentially cheaper to manufacture than crystalline-based solar cells. Also high temperatures and shading have less impact on solar panel performance. The main disadvantages of these systems although they are cheap, but they also require a lot of space as compared with crystalline devices.  Also thin-film solar panels tend to degrade faster than mono- and polycrystalline solar panels, which is why they typically come with a shorter warranty.

Mohamed SialaBiography: Wagah F. Alazzawi is working as a professor of electronic and head of electronic research group in Philadelphia University, Jordan. He earned his Master degree and PhD in Electronics and Electrical Engineering from Manchester University, England; 1977 and 1980 respectively. He teaches courses on analogue Electronics, digital electronics, microelectronics, solid state electronics and advanced design of digital electronics. His research interest includes design and fabrications of microelectronics circuits, fabrication and characterization of thin films, photodetectors fabrications and applications and fabrication and investigation solar cells. He published two books and more than fifty papers in reviewed journal and international conferences. He supervised five PhD students and more than 20 M.Sc. students. He has long experience with academic administration as ahead of research group, head of department, Deputy Dean and Dean of engineering college.

Mohamed Boudour, University of Sciences & Technology Houari Boumediene, Algiers

«Computational Intelligence Applications in Power Systems operation and control»

Abstract: Increased growing of load demand and interconnections of power systems along with deregulation and environmental concerns has brought new challenges for electric power system operation and control.
Computational intelligence techniques are new modern tools used to solve very complex problems that are difficult to solve with conventional algorithms. Artificial intelligence methods (Artificial Neural Networks, Expert Systems and Fuzzy Logic), Heuristic optimization and/or bio-inspired algorithms (Genetic Algorithms, Evolutionary Computation, Ant Colony Tabu Search and Particle Swarm) have emerged to give very interesting solutions to the decision maker, giving advantages over conventional methods in terms of computational time and robustness against system parameters variation. The faced problems could be treated with multi-objective functions and all the intelligent algorithms have been adapted to deal with.
This presentation lists some applications of computational intelligence algorithms to   different areas in power systems operation and control, carried out with real large interconnected power systems and validated with commercial tools and ISO Data.

Mohamed SialaBiography: Mohamed Boudour received the B.Sc, M.Sc and PhD in Electrical Engineering from the Polytechnic School of Algiers in 1991, 1994 and 2004, respectively. Since January 1994, he has been with the University of Sciences and Technology HouariBoumediene of Algiers (USTHB) as a teacher and researcher. He was awarded as a Fulbright fellowship in the University of Washington, Seattle (USA) from 2005-2006. He is a visiting Professor in ESIGELEC, Rouen (France) since 2005, a member of the executive committee of ARELEC (Algerian CIGRE) and IEEE Senior Member since 2007. His main interests are Power Systems Stability, Security assessment and Control using intelligent programming, integration of new dispersed energy resources and renewable energy sources in smart grids. He has chaired more than a hundred Bachelor projects, twenty MSc Thesis and ten Phd Thesis. He has published more than a hundred and fifty papers in famous proceedings journals and international conferences. He has published five books in Power systems Analysis, Electromechanical transients in power systems, Voltage stability assessment in large transmission systems, Security Assessment and reactive Compensation in distribution networks. His is leading industrial projects with the Algerian Electricity Company SONELGAZ. He has organized many International Conferences in Electrical Engineering (ICEE, ICSC, CAGRE) and several Seminars, Doctorials and Workshops. He is currently the President of the IEEE PES Chapter-Algeria and the Director of Electrical and Industrial Systems Laboratory.


Moncef Bouaziz, Technical University of Dresden

«Monitoring of land degradation from space : An integrated approach of remote sensing and in-situ measurements»

Abstract: Soil degradation limits plant growth, reduces crop productivity and degrades soil. We conducted a remote sensing analysis to discern features and patterns of degraded soils. Hyper- and multi-spectral data are used within different spatial and spectral resolution. 
A remote sensing classification of the degraded soilsand Land use was made using Maximum likelihood, Support Vector Machine, and Minimum Distance.
Computed accuracy from the classification varied between 46% and 75%.  Support Vector Machine gave the best results in extracting the patterns and features of eroded and saline soil classes (kappa coefficient of 63% and overall accuracy of 75%).
To generate a predicted salinity map, a multiple linear regression, based on the best-correlated indices is conducted. Spectral indices were also used to characterize degraded soils. The Linear Spectral Unmixing technique (LSU) is applied in this research work to improve the prediction models of degraded soils.
The developed remote sensing models enable us to highlight areas in immediate need of conservation strategies and control further soil degradation.

Mohamed SialaBiography: After the completion of an Engineering degree (2005) in Water and Soil Management and then a Master degree in Environmental engineering and management, I worked in the private sector. Between 2006 and 2007 I was involved in environmental impact studies by using Remote sensing and GIS techniques in a Tunisian-Italian company for environmental engineering. In my term as Engineer I had the opportunity to participate in several projects in land and water management for rural regions in northern Tunisia.
From 2008, I went on to pursue a PhD within the Remote Sensing Group at the Technical University of Freiberg in Germany. The focus of my doctoral thesis was the monitoring of land degradation in Ethiopia, Tunisia and Brazil using remote sensing and GIS advanced techniques. This work resulted in several publications in international journals and I presented it at major geoscience conferences. Throughout my academic research from undergraduate to doctoral level I have specialized in developing models to study land degradation and interactions with land use, vegetation cover, and climatic parameters. After my PhD thesis, I received anAlexander von Humboldt Foundation grant to continue my research as a post-doc at the Technical University of Dresden. Since 2014 I have been also actively involved as research associate at the faculty of environmental sciences in Dresden in several project dealing with environmental sustainability.


Jamel Belhadj, Vice-president of university of Tunis (scientific research and technology)

«Renewable Energy and Water systems designed and managed as an integrated efficient system»

Abstract: Water and energy availability is a global concern, most in particular in regions as the ones around the Mediterranean Sea not connected to the electricity grid.In parallel with the energetic problem, water is a major challenge not only for regions with a warm climate or semi-arid and arid regions.
The integration of multi-source renewable, such as stand-alone hybrid photovoltaic- wind system with or without electrochemical storage, has acquired a relative maturity in recent years, both from a scientific or technological point of view.The same for water systems when they are studied separately.
Actually we develop original systemic methods to design and study, water and energy as an integrated system. The results are not the same when we design each part separately.The principal interests of such a system are the clean production on the place of consumption, the mutualisation of resources, energy and/or water storage, and the security of supply. The design method is based on a systemic view of point for the architecture, the sizing and energy management strategies, with experimental validation. An interest application of hybrid system dealing with water pumping and/or desalination is presented; witch represent an original problem when the problem of water and energy are related together especially for the electrical and hydraulic remote area. A particularly interest is dedicated for the development of a real time supervision and the energy and water management of the integrated system.

Mohamed SialaBiography: Jamel Belhadj obtained the Electrical Engineering degree and Master degree from ENIT, Tunisia in 1997. In 1998, he got the Master degree from INPT-ENSEEIHT Toulouse. He received the PhD Degree from both of INPT-ENSEEIHT-Toulouse and ENIT- Tunis in July 2001. Finally he obtained, in February 2007, the University Habilitation degree from ENIT , Tunisia.
Since 1997, he was curing out his research at the Electrical systems laboratory (LSE) at ENIT and at the LEEI-LAPLACE Laboratory at INP Toulouse- France (ENSSEIHT, College).
He was Assistant Professor in Telecommunication College Iset’Com- Sup’Com from 1999 to 2000. Between 2000 and 2014, he worked in the High College of Sciences and Technics, ESSTT College Tunisia. Then, since 2014, he held the position of Vice President of the University of Tunis (scientific research and technology).
He has authored more than 20 journal papers and 60 conference papers. He took responsibility and membership of more than 10 national and international projects (CMCU, CNRS, PICS, PRF, etc). He supervised 6 defended PhD thesis, more than 30 defended master and more than 50 final study projects in ESSTT at ENIT. He Examined  more than 10 PhD Thesis and more than 50 masters. He is an IEEE member and a reviewer of several journals and conferences. He was being part of several committees : Phd & University Habilitation of ENSIT College, master at ESSTT and ENIT, jury of recruitment (Engineers, Technical Teachers), scientific and organizing committees of several international journals, and a member of scientific council of the research laboratory.


Nahla Khraief Haddad, ESTI: Ecole Supérieure de Technologie et d'Informatique, Tunis, University of Carthage, Tunisia

«From Hamiltonian Hopf-bifurcation to the control of limit cycles in underactuated mechanical systems»

Abstract: Mechatronic systems need the integration of mechanical, information, electronics, management, intelligence, and other interdisciplinary studies, which lead to complex applications. This complexity does not only appear in the system identification and modeling, but also it has a repercussion in signal processing and controller design. When the system complexity increases, it is difficult for researchers to describe its dynamic behavior. Therefore, the traditional methods used to analyze and control of such systems, have difficulties to respond to the requirements of this complexity. Bifurcation and chaos theory can be employed to classify different dynamical behavior arising in a mechatronic system. The main focus of this special session will be on the bifurcation and chaos theory and their applications in mathematical modeling, signal processing, and control of complex mechatronic systems.

This presentation is divided into four parts :

  1. What’s generalized Hamltonian systems
  2. Hopf-bifurcation analysis
  3. The control of non-linear Oscillations
  4. Application to the Inertia Wheel Inverted Pendulum (IWIP)

Keywords : Hamiltonian Systems, Non-Linear Oscillation, limit cycles, Hopf-bifurcation

Biography: She is graduated in Electrical Engineering in 1995 from National School of engineering Sfax. Obtained a master's degree in automatic and industrial automation in 1999 from High School of Science and Technology Tunis, and a PhD in robotics from University of Versailles Saint Quentin in Yvelines France in 2004. Her research interests include the analysis and the control of the nonlinear dynamic systems. She works particularly on the trajectory generation and the control of humanoid robots, the analysis of the chaos and bifurcation of the mechanical systems.