Invited Speakers

Confirmed Invited Speakers: 

Pr. Ching-Hsien Hsu
Department of computer science,
Chung Hua University, Taiwan

This talk attempts to address a few critical issues, trends and opportunities on high performance computing in the cloud and big data era. Dr. Hsu will assess impacts of cloud and big data ecosystems on the development of high performance computing systems. The cloud & big data ecosystem includes the hardware and software infrastructure, new computing architectures, data center sustainability, and service models applied in supporting the emerging Big Data Intelligence and Internet of Things (IoT). In particular, a few enabling technologies, such as NoSQL, parallel data processing, energy efficient, load balancing, data locality and virtualization will be addressed.

About the Speaker:
Ching-Hsien Hsu , is a professor and the chairman in the department of computer science and information engineering at Chung Hua University, Taiwan; He was distinguished chair professor at Tianjin University of Technology, China, during 2012-2016. His research includes high performance computing, cloud computing, parallel and distributed systems, big data analytics. He has published 200 papers in top journals such as IEEE TPDS, IEEE TSC, ACM TOMM, IEEE TCC, IEEE TETC, IEEE System, IEEE Network, top conference proceedings, and book chapters in these areas. Dr. Hsu is the editor-in-chief of International Journal of Grid and High Performance Computing, and International Journal of Big Data Intelligence; and serving as editorial board for a number of prestigious journals, including IEEE Transactions on Service Computing, IEEE Transactions on Cloud Computing, International Journal of Communication Systems, International Journal of Computational Science. He has been acting as an author/co-author or an editor/co-editor of 10 books from Elsevier, Springer, IGI Global, World Scientific and McGraw-Hill. Dr. Hsu was awarded nine times distinguished award for excellence in research and annual outstanding research award through 2005 to 2016 from Chung Hua University; special talent award from Ministry of Education (2012-2015), and National Science Council (2010-2016), Taiwan. Since 2008, he has been serving as executive committee of IEEE Technical Committee of Scalable Computing; IEEE Special Technical Committee Cloud Computing; Taiwan Association of Cloud Computing. He is vice chair of IEEE Technical Committee on Cloud Computing, IEEE TCSC and IEEE senior member.

Professor Mohamed NAJIM, ENSEIRB, Bordeaux, France Mohamed Najim : received the Dr.Sci. (Doctorat d’Etat) degree from the University of Toulouse, France, in 1972. In 1972, he joined the University of Rabat, Morocco, as an Associate Professor, where he later became a Professor in 1974. Since 1988, he has been Professor with the ENSEIRB/University of Bordeaux, France, where he founded the Signal and Image Processing Laboratory. He has worked in various fields, including microwaves, modeling and identification, adaptive filtering including H infinity, and control. His research interests are presently modeling and identification in multidimensional signal and image processing with applications in speech, seismic, biomedical, radar signal processing, textures, and image enhancement. He has supervised more than 50 Ph.D. dissertations and published over 220 scientific papers and coauthored several books, including Parametric Modeling in Image Processing (Paris, France: Masson, 1994). He is author of the book Modeling and Identification in Signal Processing (Paris, France: Masson, 1988). He set up the CAD Software Library group within the GDR-CNRS TdSI, which is a French research program on signal and image processing. Dr. Najim has organized 15 international conferences on Control, Signal Processing, and Friendly Exchange through the Internet. He co-organized with Prof. Th. Kailath (Stanford University) and Prof. P. Dewilde (University of Delft) two workshops dedicated to math and systems (Saint Emilion, France, 1997) and structured algorithms (Cazland, The Netherlands, 2002), respectively. He was the Co-Chairman of the IEEE Statistical Signal Processing Conference ’05 organized in Bordeaux, France, July 2005. He was the Editor of numerous symposia proceedings. From 1981 to 1990, he was a member of the IFAC Technical Board. He is currently a member of the Technical Committee on Digital Signal Processing of the IEEE Circuits and Systems Society. Since 1999, he has been an elected Associate Member of the Third World Academy of Sciences. He has managed various projects with industrial partners (including Texas Instruments, Digital Equipment, and ST Microelectronics).
Professor Taib SADIKI, UIR, Rabat Morocco


Title: La Localisation GNSS

Tayeb SADIKI  he is received his Computer Science Engineering degree from  Ecole Polytechnique Nice Sophia Antipolis, in 2003. He received his PhD degree from Eurecom, Sophia-Antipolis in Bayesian Adaptive Filtering in March 2007. He was Awarded paper at ASILOMAR, California 2006. From March  2007 to Jully 2011 he was a Project manager at AREVA TA France working on design of service-providing systems for telecommunication networks. In May 2008, he received the best price on hardware architecture for his system design at ESA, NL working on mobile location. Is currently an Associate Professor in Computer Science at
International University of Rabat.  His current research interests are Digital Signal Processing, Mobile location, GNSS, Hybridization, Adaptive Filtering, precoder design systems based on partial  channel state information, transceiver design in wireless. He is authored and co-authored for more than 60 papers and more than 15 atents.From March 2016, he was a President of raa-Tafilalet Foundation for Experts and Reacher’s. He is lso an expert at ACM and ESA.

Professor Chafik SAMIR, University of Clermont Auvergne, France Abstract:

Advances in technology have led to an increased need for statistical methods, which are used in many applications including medical. When dealing with spatio-temporal shapes, most current methods are applied in a cross-sectional manner, i.e., they ignore any temporal structure contained in data sequences and deal only with the static spatial information. The development of techniques for spatio-temporal tracking and deformation would enable one to capture the local shape and temporal variabilities under a unified framework. A Spatio-temporal framework will construct a statistical model to account for the cross-sectional geometric variability of object shapes, and the additional functional dynamics. In medical imaging, such models can assist physicians in the interpretation of image sequences, e.g., they can be used to guide disease characterization via image sequence classification.

Professor Chafik Samir is an Associate Professor at CNRS Laboratoire d’Informatique, de Modélisation et d’Optimisation des Systèmes (LIMOS),  University of Clermont Auvergne (UCA), France. He obtained his Ph.D. degree in Computer Vision from Lille 1 University of Science and Technology in 2007. After spending two years as a post-doc at UCL, he joined UCA as an Assistant Professor in 2009. His main research interests involve fitting curves and optimization on Riemannian manifolds, statistical shape analysis of curves and surfaces, machine learning, computer vision, and their applications to real-world problems. In particular, he has been working modeling and simulation of shape variations and dynamics in medical studies.

Professor Hany H. AMMAR, Engineering, West Virginia University, USA

Title: Cloud Computing, the Internet of Things

The evolution of Cloud Computing enabled the technology of the Internet of Things (IoT) which is described as the next technological revolution. IoT describes several technologies and research disciplines that enable the Internet to reach out into the real world of physical objects. Technologies like RFID, short range wireless communications, real-time localization, and sensor networks are becoming increasingly pervasive, making the IoT a reality. This talk will describe the concepts of cloud computing and the IoT and their Islamic applications.

Prof. Ammar is a Professor of Computer Engineering in the Department of Computer Science and Electrical Engineering at West Virginia University. He has published over 150 articles in international journals and conference proceedings. Dr. Ammar is currently the Editor in Chief of the Communications of the Arab Computer Society On-Line Magazine, and he previously served as the Editor in Chief of the Journal of Computer Science and Engineering, in Arabic. He co-authored a book entitled Pattern-Oriented Analysis and Design: Composing Patterns to Design Software Systems published by Addison-Wesley, and a book entitled Software Engineering: Technical, Organizational and Economic Aspects, an Arabic Textbook, and co-edited the Proceedings of the Second International Conference on Computer Science Practice in Arabic, and the Proceedings of the Sixth International Computing Conference in Arabic. He was awarded a Fulbright Specialist Scholar Award in Information Technology funded by the US State Department – Bureau of Education and Cultural Affairs. He has been a Principal Investigator on a number of research projects funded by the Qatar National Research Fund (QNRF), the US National Aeronautics and Space Administration (NASA), the US National Science Foundation (NSF), and the US National Institute of Justice (NIJ). Dr. Ammar has been teaching in the areas of Software Engineering and Computer Architecture since 1987. His research interests are in Software Engineering and Identification Technologies.


Professor Ahmed ASIMI, FS-UIZ, Agadir, Morocco

Title: La sécurité dans le Web 2.0/3.0
ASIMI Ahmed is a full professor at the Faculty of Science, Agadir, Morocco. He received his Ph.D degree in Number theory from Department of Mathematics, Faculty of Science, University Mohammed V, Agdal in 2001, Morocco. He is reviewer at the International Journal of Network Security (IJNS). His main areas of research interests include Number theory, Code theory, Computer Cryptology, Computer and Network Security.

Professor Mohammed BAKHOUYA, UIR, Rabat, Morocco

Title: Wireless Sensor Networks: Technologies and Applications

Abstract: Wireless Nano Sensor Networks (WNSNs) have been emerged as a typical sub-class of WSNs, but at nanoscale. The vision of WNSN could achieve the functionality and performance of today’s WSN applications with the exception that nodes are very tiny devices able to perform very simple computation, sensing and/or actuation tasks. In addition, nodes are assumed to be mobile and rapidly deployable. However, in order to develop WNSN applications and services, still many research issues have to be investigated. In this talk, we survey existing wireless ad hoc types and introduce WNSN as a future communication fabric for many emerging applications.
Mohamed BAKHOUYA is an associate professor at International University of Rabat. He obtained his HDR from UHA-France in 2013 and his PhD from UTBM-France in 2005. He has more than five years experiences in participating and working in sponsored ICT projects. He was PI of Aalto starting grant at Aalto University-Finland (2011-2013), Co-PI (UTBM side) of two European projects ASSET (Advanced Safety and Driver Support in Efficient Road Transport, FP7-SST, 2008-2011, and TELEFOT (Field Operational Tests of Aftermarket and Nomadic Devises in Vehicles, FP7-ICT, 2008-2012. He spent two years as a research scientist in US at George Washington University, HPC laboratory participating and working in sponsored projects, mainly UPC (Unified Parallel C) and NSF Center of High-performance and REConfigurable Computing. He is also a member (UTBM side) of EU EACEA Erasmus Mundus project TARGET I/II (Transfer of Appropriate Requirements for Global Education and Technology), 2011-2015. He is currently a PI of CASANET project (CNRST, 2015-2017), Co-PI of SELFSERV (VLIR-UOS, 2016-2018), PI of HELECAR project (PSAOpenLab, 2016-2019), and Co-PI of MIGRID (2017-2019, USAID-PEER program). He was a reviewer of research project for AgenceNationale de la Recherche, (France, 2011), Ministero dell’ Istruzione, dell’ Università e dellaRicerca (Italy, 2012), and currently for European Commission-FP7 (2013-2015). He is EiC of IJARAS journaland also serves as a guest editor of a number of international journals, ACM Trans. on Autonomous and Adaptive Systems, Product Development Journal, Concurrency and Computation: Practice and Experience, FGCS, and MICRO.He has published more than 100 papers in international journals, books, and conferences. He published a book on Geopositioning and Mobility. His research interests include various aspects on the design, validation, and implementation of distributed and adaptive systems, architectures, and protocols. He ismember of IEEE and ACM.


Nour Eddine ALAA,

Cadi Ayyad University Morocco

Conference Title: Restoration and Texture Analysis of Digital Images by Reaction-Diffusion Systems: Modeling, Mathematical Analysis and Numerical Simulation

Abstract: Image processing is a discipline of computer science and applied mathematics that studies digital images and their transformations in order to improve their quality or in order to extract important features. The addressed theme in this conference is the application of reaction diffusion equations and systems in the restoration, enhancement, classification and decomposition of images. Problems related to the field of image processing have for some time been intensively studied and an abundant literature on the subject has been multiplied. It is due to several challenges, we cite in particular: a great demand for applications, for efficient and effective algorithms, Improvement and restoration algorithms, segmentation, multi-scale analysis and texture. Thus, a new methodology was born to solve these problems. A methodology that makes use of the powerful theory of Partial Differential Equations (PDEs) to stand up to these challenges.

Biography:  Nour Eddine Alaa is currently Professor of Modeling and Scientific Computing at the Faculty of Sciences and Technology of Marrakech. His research is geared towards non-linear mathematical models and their analysis and digital processing applications. He is the author of numerous papers in his field of interest among image processing and reaction diffusion systems. He supervised a dozen of doctoral thesis and organized several congresses as well.

Professor Mostafa Ezziyyani,

Abdelmalek Essaadi University,


 Conference Title:



This talk aims to study, design and implement a solution as an intelligent system allowing the management of the contexts of a network, based on Big Data solutions in order to improve the quality of services related to the user devices. Thanks to knowledge of the network behavior by recovering the different contexts of the user, the operator will be able to better optimize the resources of the network, better meet the needs of the users, and offer them a service adapted to their needs closest to his expectations while minimizing operator costs. The main objective of this work is to optimize the network, to improve the quality of services and to identify the social behavior patterns used to initiate new income-generating activities and smart devices adaptation. This solution based on the BigData analytics solution using the advanced data mining algorithms. The process is divided into four parts, starting with network scanning and data storage, filtering/migrating of data gathering from networks, visualizing and controlling services and components and finally arriving at the mining stage as a decision support system for smart devices adaptation.

Biography: Prof. Dr. Mostafa Ezziyyani, IEEE and ASTF Member received the “Licence en Informatique” degree, the “Diplôme de Cycle Supérieur en Informatique” degree and the PhD “Doctorat (1)” degree in Information System Engineering, respectively in 1994, 1996 and 1999 from Mahmmeed V University in Rabat, Morocco. Also, he received the second PhD degree “Doctorat (2)” in 2006, From Abdelmalek Essaadi University” in Distributed Systems and Web Technologies. In 2008 he receives a Researcher Professor Ability Grade. Now he is a full professor of Computer Engineering and Information System in Faculty of Science and Technologies of Abdelmalek Essaadi University since 1996.

Professor Mohamed DAOUDI, Telecom Lille, France Abstract:

The use of Riemannian geometry in tackling/modelling various problems in computer vision has seen a surge of interest recently. The benefits of geometrical thinking can be understood by noting that in many applications, data naturally lies on smooth manifolds, hence distances and similarity measures computed by considering the geometry of the space naturally result in better and more accurate modelling.  In this talk, I will show some recent works from our group on Riemannian geometry and its application in a variety of problems including recognition of faces (shape manifold), facial expressions recognition (SPD manifold) and actions recognition (Grasmann manifold).


Prof. Mohamed Daoudi is a professor at IMT Lille Douai. He is the head of the Image Group of CRIStAL Lab  (UMR CNRS 9189). He received his Ph.D. degree in Computer Engineering from the University of Lille 1 (France) in 1993. His main research interests are statistical shape analysis and differential geometry and their application in shapes retrieval, biometrics and face recognition, and human behaviour analysis. He published more than 150 articles including 2 books, 10 invited and keynote papers, over 36 journals, and over 90 conferences. He has supervised 20 PhD students who are currently pursuing research in academic institutions and industry.  He is a Fellow of the International Association of Pattern Recognition.

 Professor Basel SOLAIMAN, Telecom Bretagne, France