Mohamed Khalgui

Topic: ....

German International University,Berlin, Germany

Oussama Djedidi

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University of Doha, Doha , Qatar

Chaker Abdelaziz Kerrache

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Amar Telidji University, Laghouat, Algeria

Abdelhamid Mellouk

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Paris-Est Créteil University (UPEC), Paris, France

Abdelkader Baggag

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Qatar Computing Research Institute, Doha, Qatar

Dr. Abdelkader Baggag is a Machine Learning Senior Scientist at the Qatar Computing Research Institute. He is a member of the Qatar Center for Artificial Intelligence, with a joint appointment as Associate Professor in the Information and Computing Technology Division, Hamad Bin Khalifa University, where he teaches a graduate course on Generative AI Foundations.

Massimo Merenda

Topic: Edge Intelligence: Empowering Real-Time Decisions with Machine Learning

University Mediterranea of Reggio Calabria, Italy

Massimo Merenda received his Bachelor's degree in Electronic Engineering in 2002, his Master's degree in 2005, and his Ph.D. in 2009, all from the University "Mediterranea" of Reggio Calabria (UNIRC), Italy.
From 2003 to 2005, he was a fellow at the Institute of Microelectronics and Microsystems of the Italian National Research Council (IMM-CNR) in Naples, Italy. Between 2011 and 2018, he served as a Postdoctoral Researcher at UNIRC. From 2018 to 2021, he was a Researcher at the Department of Information Engineering, Infrastructure, and Sustainable Energy (DIIES) at UNIRC and the National Inter-University Consortium for Telecommunications (CNIT). From 2021 to 2022, he worked as a Senior Scientist at the Cooperative Digital Technologies Competence Unit of the Austrian Institute of Technology (AIT) in Vienna.
Since October 2022, he has been a Senior Researcher at the DIIES Department of UNIRC.
His research primarily focuses on the development of energy-efficient intelligent systems for the Internet of Things (IoT) and edge computing applications. This includes the design of CMOS integrated circuits, silicon sensors, and energy harvesting technologies. He specializes in creating embedded systems and RFID smart tags that facilitate advanced IoT solutions and contribute to the emerging field of the Internet of Conscious Things.
He is the representative of the IEEE RFID Council within the IEEE AI Coalition.