WEBINAR organized by CDTA on December 20th, 2020

Impact of Artificial Intelligence (AI) on Society:

Focus on Petroleum Engineering (PE), HealthCare (HC) and Remote Sensing (RS)

Featured Presenter:

Djamel Bouchaffra, Expert in AI (Director of Research, CDTA) (40mn)

Dr. Djamel Bouchaffra is a Director of Research at the Center for Development of Advanced Technologies. Prior to this appointment, Dr. Djamel Bouchaffra was a Professor of Computer Science at Oakland University, Michigan (USA).  His research expertise is focused on Artificial Intelligence, Machine Learning and Pattern Recognition. He is one of the Editorial Board Members of Pattern Recognition. Prior to this appointment, Dr. Djamel Bouchaffra was a Professor of Computer Science at Grambling State University (USA). He started his academic position at Joseph Fourier University, Grenoble (France), and then he held a position of Assistant Professor at Oakland University, Michigan (USA). Professor Bouchaffra was teaching a wide spectrum of courses including machine learning and pattern recognition, artificial intelligence, soft computing and discrete mathematics. Dr. Bouchaffra has been selected as the recipient of the Oakland University Teaching Excellence Award for 2004 (awardees) as well as the recipient of the School of Engineering Teaching Excellence Award. Dr. Bouchaffra is a founding member of the Algerian Academy of Sciences and Technologies.

Participants:

Mohamed Khodja (Expert in PE) (Director of Research, Sonatrach, Algeria) (20mn)

Jun Tan (Expert in HC) (Faculty at University of Texas Southwestern Medical Center, USA) (20mn)

Farid Melgani (Expert in RS) (Trento University, Italy) (20mn)

Jean-Marc Robin (Expert in HC) (Medical Doctor, Nutritionist, SPA, France) (20mn)

Program:

Date: Sunday, December 20^th, 2020

To register, please provide the following information on : webinar@cdta.dz

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Synopsis:

The field of Artificial Intelligence pioneered by expert systems developers is currently nested in the niche of deep learning (DL). The motivation behind this paradigm shift is driven by the need of understanding the mechanisms of human intelligence and subsequently encode such intelligence in machines. However, it has been observed that the performance of DL models relies intensively on a massive quantity of labeled data. To mitigate the necessity of collecting large amounts of such data, the attention has shifted towards unsupervised learning paradigms.

The objective of this webinar is twofold: (i) highlight the power and success of DL models within a global economy. We show how these models transform conventional approaches (tasks and activities) by bringing into being industry 4.0 in Oil and Gas companies, reshaping the interaction between a medical doctor and a patient via Health 5.0, predicting tumors morphology and performing an Intelligent Remote Sensing. (ii) pinpoint the limitation of DL models as a path that is far from achieving Artificial General Intelligence. In fact, it is well established that a human child makes sense of her environment gradually through experiences (a.k.a. learning by doing), without the need of gathering a large amount of data. Children acquire the abstract concept of object and develop an ability to generalize and infer.

Biographical Sketches

	Dr. Djamel Bouchaffra is a Director of Research at the Center for Development of Advanced Technologies. Prior to this appointment, Dr. Djamel Bouchaffra was a Professor of Computer Science at Oakland University, Michigan (USA).  His research expertise is focused on Artificial Intelligence, Machine Learning and Pattern Recognition. He is one of the Editorial Board Members of Pattern Recognition. Prior to this appointment, Dr. Djamel Bouchaffra was a Professor of Computer Science at Grambling State University (USA). He started his academic position at Joseph Fourier University, Grenoble (France), and then he held a position of Assistant Professor at Oakland University, Michigan (USA). Professor Bouchaffra was teaching a wide spectrum of courses including machine learning and pattern recognition, artificial intelligence, soft computing and discrete mathematics. Dr. Bouchaffra has been selected as the recipient of the Oakland University Teaching Excellence Award for 2004 (awardees) as well as the recipient of the School of Engineering Teaching Excellence Award. Dr. Bouchaffra is a founding member of the Algerian Academy of Sciences and Technologies.
	Dr. Mohamed Khodja is a Senior Researcher at Sonatrach/Algerian Petroleum Institute/Algeria. Mohamed Khodja received the state Engineer degree in Chemical Engineering from the USTHB, Algiers in 1992. He started working at Sonatrach/Research and Development Center, Boumerdes Algeria. He earned his Master in Geoscience and Environment from Louis Pasteur University, Strasbourg and his PhD in Chemical Engineering and Environnement in 2008 from Toulouse National Polytechnic Institute, France. After working as a Drilling Fluid Engineer at laboratory between 1993 and 2009, he joined Research and Innovation Division/Sonatrach Upstream Activity, Engineering and Development Corporate Direction, Algerian Petroleum Institute as Research Project Manager and since 2014 he became Research Director at Technology and Development Division. In Jun 2018, he became a Research and Development Central Director at Sonatrach. His research interests were focused essentially on two areas of Oil and Gas: Colloid chemistry (Surfactant and Polymer) and Reservoir Engineering. His research addressed different aspects of surfactant and Polymer in Drilling fluid, Flow Assurance and Enhanced Oil Recovery. Mr Mohamed Khodja is a founding member of Science and Technology Algerian Academy since 2014.
	Farid Melgani received the State Engineer degree in electronics from the University of Batna, Algeria, in 1994, the M.Sc. degree in electrical engineering from the University of Baghdad, Iraq, in 1999, and the Ph.D. degree in electronic and computer engineering from the University of Genoa, Italy, in 2003. He is a Full Professor of telecommunications at the Department of Information Engineering and Computer Science, University of Trento, Italy, where he teaches pattern recognition, machine learning, and digital transmission. He is the Head of the Signal Processing and Recognition Laboratory, and the Coordinator of the Doctoral School in Industrial Innovation at the same university. His research interests are in the areas of remote sensing, signal/image processing, pattern recognition, machine learning and computer vision. He is coauthor of more than 220 scientific publications. He is currently an Associate Editor of the IEEE Transactions on Geoscience and Remote Sensing, International Journal of Remote Sensing, and IEEE Journal on Miniaturization for Air and Space Systems.
	Dr. Jean-Marc Robin earned a degree in Advanced Studies in the Biology of Aging. He was the former Co-organizer of the 4th Healy Smart & Preventive Medicine International Symposium organized by “La Formation Européenne Supérieure Nutrition & Environnement Santé”. He was the President of Phytonutrition & Environnements, S.A.S Beausoleil, France. Dr. Robin is a Member of the Board of Directors of the Gerontechnology Department. He is also the Coordinator of the University Degree in Engineering of Aging at the Professionalized University Institute of City and Health at the University of Paris XIII in Bobigny, France. He earned the Doctorate Degree in Medicine and the Montgolfier Price in 2002, delivered by the Encouragement pour l’Industrie Nationale at Paris. He also earned University degrees in sport and Nutrition. Dr. Robin He also holds a Master’s Degree in Biological and Medical Sciences in Nutrition, Hematology and Immunology from University of Paris V. He is the Publishing Director and Editor-in-Chief of the “Nutraceutique magazine”. He was the Developer of the first graphing calculator in 1986.
	Dr. Jun Tan earned his PhD in Computer Science in 2006 from Oakland University, Michigan, USA. After working as a Stereotactic Systems Engineer at Detroit Medical Center, a post-doctoral researcher at University of Pittsburgh, and a staff scientist at Washington University in St. Louis, he joined the Department of Radiation Oncology, University of Texas Southwestern Medical Center (UTSW), as an Instructor in 2014. He became a Professor at UTSW in July 2020 after finishing residency training on Therapeutic Medical Physics. He has extensive experience in medical image processing and analysis, image reconstruction, and clinical software development. His research interests include translating research into clinical practice in radiation therapy aiming at clinic work efficiency improvement and ensuring patient safety.

Webinar Moderator:

Mourad Abbas (Director of Research)

Dr. Mourad Abbas is a Director of Research at the Center of Scientific and Technical Research for the Development of Arabic Language. He received the state engineer diploma in Electronics form University of Science and Technology Houari Boumediene (Algiers) in 1997, then the Magister in 2002. He obtained a Phd in Electronics from Ecole Nationale Polytechnique in 2008.His research interests include the major issues related to natural language processing,in particular for Arabic language and its dialects. He is interested in Machine translation, Speech recognition, Language identification, Natural Language Understanding, Under-resourced languages. He published his research in more than 50 papers.

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