Biography 

Chiara Elisa Sabbatini is an expert in mathematical and computational modeling of infectious diseases. She currently works as a scientific project leader in the DATA division at Santé publique France, the French national public health agency. Her work involves evaluating epidemic and pandemic risks, forecasting disease spread, and assessing the effectiveness of prevention and control strategies. Her research supports public health decision-making by incorporating data on population behavior, including mobility and contact patterns.

Trained as a physicist, Sabbatini earned her PhD in Biostatistics and Public Health in 2023 from Sorbonne University and INSERM (the French National Institute of Health and Medical Research) in Paris. She subsequently worked as a postdoctoral researcher at INSERM (2023–2024) before joining Santé publique France in 2024. She has contributed to the COVID-19 response by supporting public health authorities with modeling and data analysis. Currently, she is involved in several interdisciplinary research projects, including those addressing the public health impacts of climate change and the epidemiology of hepatitis C virus.

Chiara Elisa Sabbatini

Biography 

Mohammed Al-Sarem obtained is a full professor, a fellow of the higher education academy (FHEA), UK, experienced data science curriculum developer, a certified data scientist (Data Analytics L2, Google Data Analytics, IBM Big Data Engineer, IBM AI Engineering), top 2% Scientific researcher 2024 Elsevier, and a researcher with +12 years of experience teaching courses on undergraduate and postgraduate levels. Lead of AI and Cybersecurity research unite, in Energy, Industries and Innovation Research Center, Taibah University, His research interests include Business Analytics, Data Science, Artificial Intelligence, Big Data Analytics, Natural Language Processing (NLP), Social Network Analysis, Data Mining, and Machine Learning/ Deep Learning. He published over +65 articles in ISI & Scopus journals and about 35 conference papers. In addition, he managed and organized many international conferences. He received many grants/funding from local and international parties. Besides, he is an experienced Artificial Intelligence Researcher and Developer: 

• Extensive knowledge of data science methodologies, data science team management, machine learning, deep learning, and natural language processing techniques  

• Skilled in designing and implementing AI-powered solutions to complex problems  

• Proficient in programming languages such as Python and C#

•  Proven track record of delivering innovative Data Science & AI projects and contributing to the advancement of the field 

Mohammed Al-Sarem

Biography 

Dr. Abdessamad Tridane received the Ph.D. degree in control systems theory. He is a Full Professor with the Department of Mathematical Sciences, United Arab Emirates University, Al Ain, UAE. Prior to his current position at UAEU, he was an Assistant Professor at Arizona State University in the U.S. where he had previously worked as an Assistant Research Professor. He has also worked as an industrial consultant. Dr. Tridane has contributed to undergraduate training programs such as Mathematical Theoretical Biology Institute (MTBI) and Undergraduate Research Experiences in Mathematical Biology program (UBM). In addition, he has been PI and Co-PI in different research grants funded by NSF, ARO, NRO, and USAID. He has several publications on mathematical modeling of communicable and non-communicable diseases. His current research is in mathematical and computational modeling of diseases in the Middle East, Public Health data analytics, and infectious diseases surveillance and control.

Abdessamad Tridane