Speakers

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 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 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 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 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. 

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.

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 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.