First Conference of The Moroccan Classification Society
23-25 Mar 2017 Tangier (Morocco)

Keynote Speakers


Keynote Speaker 1



Judit Kumuthini

 Centre for Proteomic and Genomic Research

Cape Town - South Africa


Omics Data Standardization

Abstract: The DMET (Distribution, Metabolism, Excretion and Toxicity) technology has steadily advanced leading to increased demands to develop new bioinformatics software, analysis tools, algorithms, web applications and specific statistical techniques. With the advent of personalized medicine, it is evident that a large number of pilot studies will be conducted globally in the foreseeable future. Findings between different studies can be compared effectively if data reporting standards are in place. Furthermore, if data are extracted in a concise and correct manner, they can be used in subsequent experiments. We feel that quality of data supersedes quantity and using a concise method of data extraction from DMET arrays can greatly increase the experimenter’s ability to sort biologically meaningful information from background noise and experimental error. Ultimately, the field of pharmacogenomics will evolve to integrate data from various omics and technology platforms. Implementing standards for submission of data for each of the various platforms (microarrays, SNP arrays, proteomics and DMET), will aid the development of pipelines able to consolidate the different platforms and the standards by which each abides.

Minimum Information required for a DMET Experiment (MIDE) is proposed to provide pharmacogenomics reporting guidelines, the information and tools required for reporting to public omic databases. For effective DMET data interpretation, sharing, interoperability, reproducibility and reporting, we propose MIDE.


Biography: Judit received her BSc in Biomedical Science and MSc in Bioinformatics in the UK. She completed her PhD at the University of Cranfield (UK) in Bioinformatics, focussing on genetic network (GN) extraction using a Bayesian belief framework. She is currently the Human Capital Development (HCD) Manager at the CPGR and leading her team to provide bioinformatics expertise in various fields. This includes providing service, support and R&D activities through collaboration with life scientists in the "omics" field, addressing a wide range of biological questions from genomics to system biology. Judit is committed to human capital development in the bioinformatics arena to enhance the knowledge base in Africa. She is also co-PI, node manager and the chair of a bioinformatics user support working group for the H3ABioNet project, part of the H3Africa initiative. She has trained and supervised many postgraduate students in Africa and Europe. Her broad current research interests include African rare genetic diseases, pharmacogenomics for personalized medicine, standardization and policy making, information management and visualization, and e-learning.


Keynote Speaker 2


Christine Fernandez-Maloigne

 XLIM Laboratory – Joint Research Unit (JRU) 7252 of CNRS

University of Poitiers -France


Study of psycho-visual aspects of stereoscopic vision in immersive conditions of vizualisation

Abstract:  The 3D videos are considered as the expected evolution of cinema and television, comparable to the introduction and spread of the color in the middle of the last century. The stereoscopic viewing, in addition to cultural and recreational domains, can also bring a definite plus in diagnostic help, medical or not, education and training, virtual prototyping, non-destructive quality control. The advanced computing in recent years now makes it possible to build and visualize complex 3D scenes in real time, on many stereo systems and this will revolutionize the uses.

The major innovation in viewing "3D" stereoscopic digital comes from the contribution of depth perception generated by the operation of stereopsis phenomenon. This phenomenon corresponds to the perception of the relative depth to the screen of two stimuli presented in the visual field of the observer, on both visual axes; However, the stereopsis remains little studied as regards the contents "3D" visualized on technical means giving the illusion of the third dimension. The ongoing studies show that stereopsis induced visualization "3D" can cause some visual discomfort which is not quantified or modeled to date.

 As part of a study for an industrial partner, we compared a "classic" type of 3D projection system in cinema theater, big screen with active glasses, with an immersive stereoscopic projection system, interactive, multi-users, that allows computer simulations, as kind of virtual reality. This system consists of a 360 ° screen that completely surrounds the audience and allows broadcasting a universe made up of digital images calculated in real time, displayed via a stereoscopic projection and viewable by active glasses. It operates a spatial sound diffusion and an intuitive multi-user interactivity using capture gestures in space. We will present a subjective study to quantify the quality of rendering of the two systems in terms of sense of immersion and visual comfort.


Biography : Christine Fernandez-Maloigne was graduated at the University of Technology of Compiegne (UTC), France, as a computer engineer in 1986. She received her Ph.D. degree in Image Processing at this University in 1989. She moved to the University of Poitiers, France, in 1996, to create a new research pole for color image processing and analysis. The research activities of Christine Fernandez-Maloigne are thus focused on colour imaging, including fundamental researches about introduction of human visual system models in multiscale colour image processes as well as practical applications. Christine Fernandez-Maloigne has authored over 400 articles in peer-reviewed journals, international conferences, and books in the areas of imaging. In particular, she is editor of the collective work about "Advanced Color Image Processing and Analysis" published in 2012 by Springer. Christine Fernandez-Maloigne is currently Vice-Rector of Poitiers University, in charge of International Relations. She was deputy director of XLIM laboratory, joint unit research of CNRS and Universities of Poitiers and Limoges until 2016.


Keynote Speaker 3



  Mohammed Daoudi


Télécom-Lille - France


Problems in Modeling by Riemannian Geometry 

Abstract: In computer vision, shapes have been represented in many different ways: point clouds, surfaces, images or skeleton are only some examples. The difficulty comes from nonlinearity of these shape spaces. Indeed, these shape spaces are not Euclidean and one cannot perform classical statistics. One way to overcome this difficulty is to introduce a Riemannian structure on the shapes space. This enables us to exploit the geometry of these shape spaces and to develop efficient statistical tools. 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, expressions and actions.


Biography: Prof. Mohamed Daoudi is a professor in Institut Mines-Télécom/Télécom Lille. 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.


Keynote Speaker 4



Tuan D. Pham

Department of Biomedical Engineering

Linkoping University, Sweden


Texture Classification and Visualization of Biomedical Data

Abstract: This talk presents recent developments in texture classification and visualization of biomedical images and signals, including physiological, microscope, MRI, and CT data.  The technical methods involve chaos, nonlinear dynamics, geostatistics, fuzzy logic, and deep learning.  Current benchmark results and selected challenging problems of future research in big data in personalized medicine are also addressed with suggested directions.


Biography: Tuan D. Pham is Professor of Biomedical Engineering at Linkoping University, University Hospital Campus, Linkoping, Sweden.  He was appointed as Professor and Leader of the Aizu Research Cluster for Medical Engineering and Informatics, and the Medical Image Processing Lab, both at the University of Aizu, Japan.  Before his appointments in Japan, He was the Bioinformatics Research Group Leader at the University of New South Wales, Canberra, Australia.  He has been an Editorial Member and Associate Editor of Pattern Recognition (Elsevier), served as Guest Editor of Computer Methods and Programs in Biomedicine (Elsevier), Computers in Medicine and Biology (Elsevier), BioMedical Engineering OnLine (BioMed Central), and Associate Editor of IEEE Engineering in Medicine and Biology Conference series.  Dr. Pham has published extensively on pattern recognition, image processing, and time-series analysis in medicine, biology, and mental health.  


Keynote Speaker 5



Ikram El khadji

SAP Software Company



Data Analysis and Research Insight

Abstract: The field of Bioinformatics can be simplified “as the scientific field that deals with data and knowledge: the storage, retrieval, and optimal use for problem-solving and decision making within the field of biological data analysis. The field of bioinformatics has seen a tremendous increase in emerging research, leading to new challenges in managing and analyzing all this new data. When we observe the results of the computing revolution in the field of bioinformatics we can appreciate the fact that many of critical deductions regarding our understanding of health and the causing agents, have come to the front. The challenges in the field are predominantly the vast array of data, evolving knowledge that is the result of study of the genome and its manifestation. This presentation will provide some insights for analytics in support of research and the methods to gain cross-functional visibility and collective insights into quality of data driven research. Interactively and collaboratively analyzing large volumes of bioinformatics research data from diverse sources to advance opportunities for personalizing medical solutions. During the talk, latest technology trends in analysis will be shared, in support of the researchers needing the ability to transform a large volume of data from diverse sources into actionable insights. Various case studies will be shared during the presentation to showcase cutting edge developments. .


Biography: Ikram El khadji received her Bachelor Degree in Management Information system and her Master of Science in IT Information Technology. Prior to joining the SAP Global Presales academy, Ikram While studying, she served as a Google student ambassador and Women Techmaker, inspiring other young women to pursue science, technology, engineering and mathematics (STEM.) She has even designed a mobile app to help people build personalized diet programs when she was a facilitator with Google Android student club. Additionally, Ikram was one of the first group graduated from Morocco who completed the SAP Skills for Africa training certification in 2015, Business Process Integration with SAP ERP10 certification , and Business Intelligence with SAP BW BI 4.1 Certification. Ikram is a very independent person with a passion for research and technology. She is like a sponge, eager to absorb as much information as possible. She believes in the power of IT to change the world faster than ever and run it simple than before ,which is how she found her way working with SAP , As a Presales for Business Intelligence and Predictive Analytics . Ikram joined SAP Morocco after she finished her training at SAP Presales Academy in the USA and she had the chance to work in many projects , Now she has advanced reporting tools Design Studio (for creating Dashboards), Lumira , web Intelligence skills adding to her knowledge about IoT, and Digital Transformation. .  




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