Workshop -Empowering Educators: Quantum Technology and AI in the Classroom
Date: Tuesday 29 April 2025
Time: 8:30 AM to 5 PM
Price: 512 AED
Language: English
Venue: SUAD Campus
This engaging one-day workshop is designed to equip school teachers with the knowledge and tools needed to navigate the rapidly evolving fields of Artificial Intelligence (AI) and Quantum Technology. Combining thought-provoking presentations and hands-on activities, the workshop will address the challenges educators face due to the emergence of new AI tools and provide insights into the foundational role of mathematics in AI and physics in quantum technology.
Join us for this informative and collaborative workshop to explore the exciting intersection of AI and quantum technology, empowering you to inspire the next generation of learners!
Key Highlights
- Understanding the Impact of AI in Education: Explore the opportunities and challenges AI tools present for educators, including their implications for teaching methods and student engagement.
- The Importance of Mathematics in AI:Learn how core mathematical concepts form the backbone of AI, enabling educators to connect theoretical topics to real-world applications.
- Physics and Quantum Technology: Delve into the principles of quantum technology and its transformative potential, while discussing how physics education lays the groundwork for understanding these advancements.
- Interactive Activities: Participate in practical exercises, including simple demonstrations of quantum concepts and discussions on integrating AI into classroom teaching.
Goals of the Workshop:
- Equip teachers with strategies to effectively incorporate AI and quantum topics into their curricula.
- Foster an understanding of the essential role of mathematics and physics in these groundbreaking technologies.
- Provide a space for educators to discuss and share solutions to challenges posed by AI tools in education.
About the speakers
Dr. Eliane Bsaibess is an Assistant Professor in the Department of Sciences and Engineering at Sorbonne University Abu Dhabi (SUAD). She holds a PhD in Physics with a specialization in condensed matter from Université du Littoral Cote d’Opale, France. Her expertise spans applied physics and materials science, with a focus on energy-related applications. Dr. Bsaibess’s research centers on the synthesis and characterization of novel ceramic materials for thermoelectric, electrocaloric, and liquid crystal ferroelectric technologies. Additionally, her research includes the development of instrumental techniques for the precise measurement of thermophysical and optical properties in solids and liquids. Dr. Bsaibess is affiliated with the Sorbonne University Abu Dhabi Research Institute (SAFIR) and the Novel Materials Development Laboratory (NoMaD), where her work contributes to sustainable energy solutions and innovative materials.
Dr.Stavros Christopoulos is an Applied Physicist engaged in various research topics for over twenty years. As an experimentalist, he has worked on the areas of Solid State Quantum Photonics, Atomic, Molecular and Optical Physics (AMO) and Material Physics, in teams of prominent research institutions, including the University of Cambridge (PhD), the Institute of Applied Physics at the University of Bonn (Senior Scientist) and Cyprus University of Technology (Senior Researcher).
He has supervised six master’s theses, one doctoral thesis (and supervises another one currently) and more than twenty undergraduate theses and projects. His pioneering research work, especially in polaritonics [1,2] has been extensively featured in Nature [3], and has already garnered more than 2100 citations from subsequent papers.
Dr. Christopoulos has served on the editorial board of several scientific journals and contributes as a technical reviewer for journals and conference proceedings in his fields of expertise. He currently leads and participates in research projects with local and international faculty, including T.I.I (UAE), Sorbonne Université and University of Littoral Opal Coast (France), the University of Jordan (Jordan) and the American University of Cairo (Egypt).
He has supervised six master’s theses, one doctoral thesis (and supervises another one currently) and more than twenty undergraduate theses and projects. His pioneering research work, especially in polaritonics [1,2] has been extensively featured in Nature [3], and has already garnered more than 2100 citations from subsequent papers.
Dr. Christopoulos has served on the editorial board of several scientific journals and contributes as a technical reviewer for journals and conference proceedings in his fields of expertise. He currently leads and participates in research projects with local and international faculty, including T.I.I (UAE), Sorbonne Université and University of Littoral Opal Coast (France), the University of Jordan (Jordan) and the American University of Cairo (Egypt).
Dr. Giulia De Masi is currently Associate Professor at Sorbonne University in Abu Dhabi (UAE). After her PhD, she was Post-doctoral Researcher in the Polytechnic University of Marche (Italy) and Visiting Researcher at Hitachi Research Laboratory, in Nara (Japan). In 2008, she started working in the R&D field at the Snamprogetti Center of Excellence, Italy. Since 2018, she collaborated with several Universities in UAE, as well as research institutes such as the Technology Innovation Institute in Abu Dhabi, where she served for four years as Principal Researcher, leading the Modeling and Simulation team.
She has been awarded as UAE Ambassador for Women in Data Science (by Stanford University) in 2018. Her main fields of expertise are Artificial Intelligence, Machine Learning, Data Science, and Computational Modeling.
She has been awarded as UAE Ambassador for Women in Data Science (by Stanford University) in 2018. Her main fields of expertise are Artificial Intelligence, Machine Learning, Data Science, and Computational Modeling.
Dr. Joumana El Rifai is an Associate Professor in the Sciences and Engineering Department at Sorbonne University Abu Dhabi (SUAD), with a PhD in Engineering from Katholieke Universiteit Leuven, Belgium. She is an experienced educator and researcher with a demonstrated history of working in the higher education industry. Dr. El Rifai’s expertise spans Thin Films, Experimental Physics, Semiconductors and Materials Science. Her research interests include the fabrication of novel semiconductor materials, nanostructures for photovoltaic and energy harvesting applications, and advanced MEMS (Micro-Electro-Mechanical Systems) design and fabrication. Affiliated with the Sorbonne University Abu Dhabi Research Institute (SAFIR) and the Novel Materials Development laboratory at SUAD (NoMaD), her work not only contributes to the academic community but also has practical implications for the advancement of technology and sustainable energy solutions.
Dr. Samuel F. Feng is an assistant professor of mathematics and statistics specializing in artificial intelligence, machine learning, and computational neuroscience. He earned his PhD in applied mathematics from Princeton University and has over 15 years of research experience working on interpretable AI, stochastic modelling, and statistical methods for decision-making and cognitive processes, with applications in neuroscience, bioinformatics, and renewable energy. He is also a consultant and speaker, contributing to international conferences and workshops on AI and its evolving role in science and industry.
Dr. Sudarshan Shinde is an Assistant Professor in the Department of Sciences and Engineering at Sorbonne University Abu Dhabi, where he has been employed since September 2022. His research primarily focuses on computational arithmetic geometry and combinatorics.
He earned a bachelor’s degree from India, after which he was selected for the multidisciplinary engineering program (Programme d’Ingénieur Polytechnicien) at École Polytechnique, France. He subsequently pursued a PhD in mathematics at Sorbonne University, Paris, where his research was dedicated to identifying suitable families of elliptic curves for application in the Elliptic Curve Method (ECM) algorithm for integer factorization. In addition to his academic career, Dr. Shinde has worked as a research engineer in a startup specializing in computer vision and machine learning.
He earned a bachelor’s degree from India, after which he was selected for the multidisciplinary engineering program (Programme d’Ingénieur Polytechnicien) at École Polytechnique, France. He subsequently pursued a PhD in mathematics at Sorbonne University, Paris, where his research was dedicated to identifying suitable families of elliptic curves for application in the Elliptic Curve Method (ECM) algorithm for integer factorization. In addition to his academic career, Dr. Shinde has worked as a research engineer in a startup specializing in computer vision and machine learning.
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