Tingwen Huang
Professor, Science Program, Texas A&M University at Qatar, Qatar
Lecture Topic 1: Efficient Computational Approaches and Their Applications Lecture Topic 2: Dynamics of Neural Networks and Their Applications
Biodata
Tingwen Huang is a Professor at Texas A&M University at Qatar. He received his B.S. degree from Southwest University, China, 1990, his M.S. degree from Sichuan University, China, 1993, and his Ph.D. degree from Texas A&M University, College Station, Texas, 2002. After graduating from Texas A&M University, he worked as a Visiting Assistant Professor there. Then he joined Texas A&M University at Qatar as an Assistant Professor in August 2003, then he was promoted to Professor in 2013. Dr. Huang’s research areas include neural networks, chaotic dynamical systems, complex networks, optimization and control, and smart grid. He is a Fellow of TWAS, IAPR and IEEE, a Member of The European Academy of Sciences and Arts.
Justin Dauwels
Associate Professor, the Signal Processing Systems group at the Delft University of Technology, Netherlands
Lecture Topic : Generative AI & Applications
Biodata
Dr. Justin Dauwels is an Associate Professor at the TU Delft (Signals and Systems, Department of Microelectronics). At the TU Delft, he serves as scientific lead of the Model-Driven Decisions Lab (MoDDL), a first lab for the Knowledge Building program between the police and the TU Delft. He also serves as Chairperson of the EE Board of Studies, and is a board member of the Netherlands Institute for Research on ICT. He served as Chairman of the IEEE CIS Chapter in Singapore from 2018 to 2020, and served as Associate Editor of the IEEE Transactions on Signal Processing (2018 – 2023), Associate Editor of the Elsevier journal Signal Processing (since 2021), member of the Editorial Advisory Board of the International Journal of Neural Systems, and organizer of IEEE conferences and special sessions. He was also Elected Member of the IEEE Signal Processing Theory and Methods Technical Committee and IEEE Biomedical Signal Processing Technical Committee (2018-2023).
Yousri Kessentini
Senior researcher at CRNS & head of DeepVision research team
Lecture Topic : Generative AI with Diffusion Models
Biodata
Yousri Kessentini is Associate Professor at the Digital Research Center of Sfax (CRNS) and the head of the DeepVision research team. He received his Ph.D. degree in the field of pattern recognition from the University of Rouen, France in 2009. He was postdoctoral researcher at ITESOFT company and LITIS laboratory from 2011 to 2013. He is certified as an official instructor and ambassador from the NVIDIA Deep Learning Institute. His main research areas concern deep learning, document processing and recognition, data fusion, and computer vision. He has participated in several research projects and technology transfer projects. He has published more than 60 papers in international conferences and journals. He is also a reviewer for several international conferences and journals in the field of pattern recognition and computer vision.
Yessine Khanfir Yasmine Ben Ayed
AI Research Engineers at InstaDeep
Lecture Topic : Foundation Large Language Models for Edible Plant Genomes
Biodata
Yessine Khanfir is master’s degree in computer science , he graduated and he joined InstaDeep in 2022 as an AI Research Engineer. He have been working on cutting edge Natural Language Processing and BioAI research, to solve complex problems in Artificial Intelligence and Biology.
Yasmine Ben Ayed is a Research Engineer at InstaDeep with a background in Mathematical Modelling. Passionate about bringing both worlds of biology and machine learning, he have worked on Protein generation using LLMs. His recent projects involved around the world of Genomics to resolve intricate DNA tasks.