Keynotes speakers
Patrick FLANDRIN
Emeritus CNRS Senior Scientist
Youssef OUKNINE
Member of the Hassan II Academy of Sciences and Technology
Amel BENAZZA-BENYAHIA
Professor at SUP’COM, Tunis, Tunisia
Karim LEKADIR
Director of the Artificial Intelligence in Medicine Lab at the University of Barcelona (BCN-AIM)
Workshop speakers
Mohamed YOUSSFI
Professor Researcher in Department of Mathematics and Computer Science, ENSET, Hassan II University
Hafideh ALSAMARRAI
President and CEO of Global Business Development and Growth Inc.
Ahmed TAIK
Full professor of applied mathematics at FST-Mohammedia, University Hassan II Casablanca
Omar ABDEDDAIM
Omar ABDEDDAIM – Data Engineer in Cloud Computing and Data Science Technical Director at Cloudlink LLC
Patrick FLANDRIN – Emeritus CNRS Senior Scientist
Patrick Flandrin obtained his PhD from INP Grenoble, France, in 1982. He is currently an emeritus CNRS senior scientist, working within the Physics Department of ENS de Lyon since 1991. His research interests include mainly nonstationary signal processing, time-frequency/wavelet methods, scaling stochastic processes and complex systems. Dr. Flandrin was awarded the Philip Morris Scientific Prize in Mathematics (1991), the SPIE Wavelet Pioneer Award (2001), the Prix Michel Monpetit from the French Academy of Sciences (2001), the Silver Medal from CNRS (2010), and the Technical Achievement Award from the IEEE Signal Processing Society (2017) and from EURASIP (2023). He is a Fellow of the IEEE (2002) and of EURASIP (2009). Elected member of the French Academy of Sciences in 2010, he has been its President in 2021-2022.
Youssef OUKNINE – Member of the Hassan II Academy of Sciences and Technology
Youssef OUKNINE received his Ph.D. in Mathematics from Pierre and Marie Curie University in 1987, followed by a “Doctorat d’état” from Cadi Ayyad University (UCA) in 1990. He has been a professor at the UCA since 1990 and an affiliate professor at UM6P since 2018. He is a Resident Member of the Hassan II Academy of Sciences and technology since 2006. Pr. Ouknine has been the President of the jury of « Concours d’agrégation de Mathématiques “2016-2020. He is a founding member of the Excellence Centre awarded the « Emerging Regional Centers of Excellence” (ERCE) label by the Committee for Developing Countries of the European Mathematics Society, for the period 2016-2020, which has been renewed for the period 2021-2025. He is an elected member of the « International Statistical Institute » (ISI) since 2013, and a Member of the French Moroccan Inter-University Joint Committee. Prior to that, he was the director of “Ecole Nationale des Sciences Appliquées” of Marrakesh. Pr. Ouknine served as a member of the scientific boards of multiple organizations such as “the Hassan II Academy of Sciences and technology”; “Centre National de Recherche Scientifique et Technique » (CNRST) Morocco;” Centre International de Mathématiques Pures et Appliquées » (CIMPA) France; “Excellence Centre in Mathematics and Computer Science” CEA-MITIC, Senegal. As a researcher, visiting professor or associate member, Prof. Ouknine has visited several universities and research centers abroad. Youssef Ouknine has also taught several postgraduate courses and has supervised theses in several African countries (Mauritania, Senegal, Ivory-Coast, Ghana, Gabon, Benin…etc.). Mathematician, Prof. Ouknine, has devoted his research to stochastic analysis and probability theory and their applications. His work has focused on stochastic calculus, Optimal stopping, Malliavin’s calculus, stochastic differential equations (forward and backward) and fractional stochastic calculus. Stochastic finance is currently one of his research concerns.
Prof. Ouknine has published more than 160 scientific papers in reputed international peer-reviewed journals such as “Annals of Probability”, “Annals of Applied Probability”, “Stochastic Processes and their Applications”, “Electronic Journal of Probability”, “Electronic Communications in Probability”,” Bulletin des Sciences Mathématiques”, “Journal of Theoretical Probability”, etc.… He has been a referee and co-editor of several scientific journals of high international repute. He is also one of the initiators of international meetings in stochastic analysis and probability theory as well as several training schools in stochastic process theory.
Amel BENAZZA-BENYAHIA – Professor at SUP’COM, Tunis, Tunisia
Amel Benazza-Benyahia received the engineering degree from Telecom SudParisNational Institute of Telecommunications, Evry, France, in 1988, the Ph.D. degree from the University Paris-Sud (XI), Paris, France, in 1993, and the Habilitation Universitaire from the Ecole Supérieure des Communications (SUP’COM), Tunis, Tunisia, in 2003.
She is currently a full Professor at SUP’COM with the Department of Applied Mathematics, Signal Processing and Communications.
She is also a Research Scientist with the Communication, Signal and Image Lab. (COSIM). Since 2004, she is a founding member of the Tunisian Society for Image Processing (Arts Pi). She was member of the executive board of the French Group of Researchers in Signal and Image Processing (GRETSI) from 2013 to 2018. She was involved in several international and national research projects.
Her research interests include image compression, signal denoising, and content-based image retrieval with several applications in both remote sensing and medical fields.
Karim Lekadir – Director of the Artificial Intelligence in Medicine Lab at the University of Barcelona (BCN-AIM)
Karim Lekadir is the Director of the Artificial Intelligence in Medicine Lab at the University of Barcelona (BCN-AIM). He obtained a PhD from Imperial College London (UK) and was previously a postdoctoral researcher at Stanford University (USA). His current research focuses on the development of big data and artificial intelligence (AI) solutions from complex biomedical data, such as medical imaging, clinical, environmental and mobile data. He is interested in the concept of trustworthy AI and related methods such as domain adaptation, bias correction, federated learning, AI traceability and AI validation. He is the Scientific Coordinator of several large-scale research projects funded by the European Commission and related to big data and AI, such as in the field of cardiology (euCanSHare, DataTools4Heart), oncology (EuCanImage, RadioVal) and mental health (EarlyCause). He is the PI of an ERC Consolidator Grant (AIMIX) to develop novel AI methods for accessible medical imaging in low-resource settings.
Mohamed YOUSSFI – Professor Researcher in Department of Mathematics and Computer Science, ENSET, Hassan II University
Mohamed Youssfi received his PhD (Doctorat de 3ème cycle ) from The Mohammed V University of Rabat, Morocco in 1996 in Computer Science and his PhD ( Doctorat d’Etat ) from The Mohammed V University of Rabat, Morocco in 2015 in Parallel and Distributed Systems. He has served as Professor Researcher in the Department of Mathematics and Computer Science, ENSET, Hassan II University of Casablanca since 1996. His scientific publications are focused in Computational Intelligence, Parallel and Distributed Systems, Multi Agent Systems, Web Semantic, High Performance Computing, Big data, and Distributed Artificial Intelligence. He has (co)authored more than 100 scientific research articles in indexed journals, refereed conferences, edited volumes and books.
Hafideh ALSAMARRAI – President and CEO of Global Business Development and Growth Inc.
President and CEO of Global Business Development and Growth Inc., held key positions in IEEE’s Western Saudi Arabia Section, Computer Society & Technology and Engineering Management Society (TEMS) for a long time. Held leadership and key positions in a number of major companies and mega projects and managed a number of them, including the management of two companies in the field of computer and the environment, served as vice president of one of the largest holding companies in the Kingdom of Saudi Arabia for and in Islamic Development Bank (IsDB). Thought several subjects and conducted research in universities in the UK, Iraq and Kingdom of Saudi Arabia. Worked closely with Lockheed of USA, British Telecom of Britain, Asahi Juken of Japan, Thompson CSF of France, the World Bank, the World Bank Institute and many others. Chartered Engineer (C.Eng.), Certified Management Consultant (CMC), Lead Quality Auditor, Fellow of the British Computer Society (FBCS), Life Senior Member of IEEE (LSIEEE), Member of the British Institute of Chartered Institute of Transport (MCIT), Member of the Institute of Transport (MITE), Member of the British Institute of Acoustics (MIOA) and others. His name was published in Marquis & Marquis and many international biographies. Certified as a Trainer and Training of Trainers (TOT) by IsDB, International Labor Organization (ILO) and IEEE and as Keynote Speaker at Saudi Big5. Author and co-author of several books and published large number of papers, studies and articles in conferences and journals.
Ahmed Taik – Full professor of applied mathematics at FST-Mohammedia, University Hassan II Casablanca
Professor Ahmed TAIK is currently a full professor of applied mathematics at FST-Mohammedia, University Hassan II Casablanca. Professor TAIK’s research primarily focuses on mathematical modeling and simulation of complex physical and dynamical systems. He is renowned for his research in developing numerical algorithms for solving nonlinear partial differential equations and their applications in understanding phenomena like a free surface flow in shallow waters and dynamical systems. His research papers have been published in leading scientific journals. He actively mentors graduate students and doctoral researchers, many of whom have gone on to establish successful careers in academia and industry.
Omar ABDEDDAIM – Data Engineer in Cloud Computing and Data Science, Technical Director at Cloudlink LLC
Omar ABDEDDAIM is a highly accomplished Technical Leader and Data Engineer, holding an engineering degree in Cloud Computing and Data Science, alongside a bachelor’s degree in Mathematics and Statistics. He has acquired extensive expertise in AWS and Azure cloud services, underlined by certifications such as AWS Solution Architecture Pro, AWS Data Engineer, and Microsoft Azure Data Analyst Associate. His skill set encompasses Python development, data management, analysis, machine learning, and the design and implementation of cloud infrastructure.
In his current capacity as the Technical Director at Cloudlink LLC, Omar leverages his rich background, including his significant role as an AWS Data Architect at Seb Groupe, where he contributed to the implementation of “Data Mesh” architecture in AWS. His experience with reputable organizations like Humana & CVS Pharmacy, British Petroleum, AXA, and Inwi underscores his proficiency in deploying cloud-based solutions, overseeing data lakes, and implementing machine learning models for fraud detection and energy optimization.
Omar’s career trajectory reflects his commitment to leveraging advanced technologies and methodologies to drive impactful business outcomes. His hands-on proficiency with Python, R, SQL, and diverse cloud services underscores his capability to deliver innovative and effective data solutions. Additionally, he holds a diploma in Computer Software Engineering. In his current role as the Technical Director at Cloudlink LLC, Omar remains at the forefront of technical initiatives, leading innovation in cloud-based data engineering and analytics.
Keynote Speaker I – Tuesday 21 May 10:00 – Targa Room
Patrick FLANDRIN – Emeritus CNRS – Senior Scientist
“Signals, images and data everywhere, from science to our daily lives”
We live in a world of ever-increasing flows of signals, images and data. Behind this abundance lies a science in its own right which is omnipresent in our daily lives, just as it is an indispensable component of many of the most fundamental scientific discoveries. Whether it’s for acquiring, compressing, storing or exchanging images, voice or data, a smartphone is an emblematic example; and the recent discovery of the first gravitational wave is, beyond the technological prowess of the instrument, the fruit of the development of advanced algorithms for detecting extremely weak signals. We will discuss the central role that “data sciences” now occupy in a scientific landscape undergoing profound renewal, as well as their implications for society and their impact on both energy and the environment.
Keynote Speaker II – Tuesday 21 May 14:30 – Targa Room
Karim LEKADIR – Director of the Artificial Intelligence in Medicine Lab at the University of Barcelona (BCN-AIM)
“Trustworthy artificial intelligence for accessible healthcare in low-resource settings”
Artificial intelligence (AI) is widely regarded as one of the most promising and disruptive technologies for future healthcare. Despite continued advances in recent years, a major limitation of current AI developments is that they have overwhelmingly, and almost entirely, targeted applications in high-income countries. There is a concern, if the current trend continues, that AI will increase the already pronounced inequalities in global health. This talk will present some of the emerging initiatives for the developments of artificial intelligence in resource-limited settings, where there is a lack of computational resources, clinical workers and retrospective data for training machine learning models. First, the concept of trustworthy AI will be presented including guiding principles for the design, development and evaluation of future AI solutions, to ensure they will be trusted,
accepted, deployed and adopted by the local stakeholders and local communities. The talk will then discuss the need for new AI approaches that are inclusive, i.e. (1) affordable for low-resource healthcare centers, (2) scalable to under-represented population groups, and (3) accessible to minimally trained clinical workers. This will ensure millions of patients from low-to-middle-income countries are not excluded from the benefits of artificial intelligence in future healthcare.
Keynote Speaker III – Wednesday 22 May 9:00 – Targa Room
Youssef OUKNINE – Member of the Hassan II Academy of Sciences and Technology
“Random Walk in Financial Markets”
The presentation will provide an overview of financial markets, delving into the integral role of mathematics, particularly stochastic processes, in the decision-making process. It provides a comprehensive overview of financial markets, encompassing various instruments and trading mechanisms. Special attention is given to the options market, which includes European, American, and exotic options, each with unique characteristics and terms. Within this context, stochastic calculus and martingale theory emerge as essential tools for pricing and hedging options. These mathematical frameworks enable investors to determine fair values for options and manage associated risks effectively. Crucially, the presentation highlights the importance of the absence of arbitrage opportunities in ensuring market efficiency and consistency with mathematical models.
Keynote Speaker IV – Wednesday 22 May 15:00 – Targa Room
Amel BENAZZA-BENYAHIA – Professor at SUP’COM, Tunis, Tunisia
“Content-Based Retrieval of Stereoscopic Images by Statistical and Deep Learning Approaches”
Content-based image retrieval (CBIR) uses image content features to search and retrieve digital images from a database. With the growing interest in using the three dimensional information in various application, it becomes necessary to design efficient CBIR systems well adapted to the indexing of such databases. In this talk, the focus is placed on stereoscopic images which are composed of pairs of views captured by two adjacent cameras and, depth maps. As the retrieval performance of a CBIR system crucially depends on the feature representation, two families of feature extraction methods are presented. The first one concerns statistical-based retrieval approaches, designed to capture the cross-view redundancies as well as the correlation between the texture and depth information. The second family of methods aims at learning the relevant features outputted by deep neural architectures. Experimental results are discussed. The proposed methods are tested through experiments and their results are discussed.
Workshop I – Tuesday 21 May 15:20 – Menara Room
Ahmed TAIK – Full Professor of Applied Mathematics, FSTM, Hassan II University of Casablanca
“Dynamical Systems in Reaction-Diffusion and Biology Problems”
This talk explores the application of dynamical systems theory, particularly in analyzing reaction-diffusion problems, emphasizing its relevance in biological systems. Reaction-diffusion equations describe how quantities change over time due to reaction processes and diffusion. Dynamical systems offer a systematic approach to understanding the behavior of patterns and underlying mechanisms in spatial models. In biology, these systems model processes like epidemiology. By employing dynamical systems theory, one can analyze stability, bifurcations, and spatial dynamics, providing insights into complex biological patterns. Key concepts include stability analysis, bifurcation theory, and phase space dynamics, offering promise for understanding and intervening in biological systems effectively.
The tools to install for participants: Matlab
Workshop II – Wednesday 22 May 9:50 – Menara Room
Omar ABDEDDAIM – Data Engineer in Cloud Computing and Data Science, Technical Director at Cloudlink LLC
“Streamlining Document Analysis: Automated Feature Extraction and Splitting”
This project harnesses the power of AWS services to streamline document processing workflows. It utilizes AWS Textract to extract key information such as due dates, total amounts, payables to, and payable from documents. Using the retrieved information, documents are intelligently separated and named in a specific format based on the discovered characteristics. The processed documents are then stored in Amazon S3 for easy access and management. Additionally, the system generates detailed CSV reports summarizing the collected data for further study. The codebase has been rigorously developed with flexibility and scalability in mind, ensuring easy execution as an AWS Lambda function triggered by S3 events. This setup provides an efficient and automated solution for many documents management tasks, enhancing productivity and accuracy.
The tools to install for participants:
Technologies: Python, Docker, AWS CLI
Cloud Provider: AWS services (Amazon EC2, Amazon S3, AWS Lambda Function)
Provisioning: AWS CloudFormation
Monitoring: Amazon CloudWatch
Libraries: PyMuPDF, PIP, OpenCV, locale, datetime, re, fpdf, os, numpy, concurrent.futures, cv, logging.