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The general framework of the research chair
Promoting scientific research in artificial intelligence techniques to serve health care, including machine learning, deep learning, computer vision, image processing, and natural language processing, to raise the level of distinguished scientific research in the field of the chair.
VisionBuilding a distinguished scientific reference in the field of artificial intelligence to serve health care locally and internationally. | MissionInnovating in leading research and technical tools, enhancing scientific research in artificial intelligence to serve healthcare and improving it in partnership with local and global institutions, and transforming it into products. |
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Academic committee for chair
Professor OF THE AI IN HEALTHCARE RESEARCH CHAIRDR. HANAN ALJUAID Dr. Hanan Aljuaid is Professor of Artificial Intelligence Research Chair in HealthCare at PNU University and a member of the Administrative Council of the Scientific-Technical Society at King Abdulaziz University in Jeddah. She obtained her MSc and PhD degrees from UTM University at Malaysia in 2011 and 2014 respectively. She received a scientific visit as a doctorate to the University of Austin in Texas, in the USA. Her research interests span both computer vision and NLP. Much of her work has been on improving the understanding, design, and performance of pattern recognition, mainly through the application of data mining and machine learning. She has given numerous invited talks and tutorials. Also, she published numerous papers in pattern recognition, IoT, and data science. |
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PROF. ANTONIO LIOTTA Antonio Liotta (SMEEE’15) is Professor of Data Science and Intelligent Systems and Networks at the Free University of Bozen-Bolzano, Italy. His team is at the forefront of influential research in data science and artificial intelligence, specifically in the context of smart cities, Internet of Things, and smart sensing. He is renowned for his contributions to miniaturized machine learning, and artificial neural networks acceleration via network science methods. Antonio has over 350 publications to his credit, and is the Editor-in-Chief of the Springer Internet of Things book series. |  |
Dr. Lucia Cavallarolucia cavallaro is a research assistant at the free university of bozen-bolzano, italy. after achieving her master degree (cum_laude) in engineering and computer science from university of messina (italy) in 2018, she achieved her phd in computer science at university of derby (uk) in 2021. her research is at the intersection between network science and deep learning. |
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DR. NAJAH ALSUBAIE Najah Alsubaie is an Assistant Professor at the Department of Computer Sciences at PNU. She received her PhD in 2019 from the University of Warwick in the UK. During her PhD, she worked with the Tissue Image Analytics (TIA) Lab and collaborated with the Department of Pathology at Coventry University Hospitals in developing machine learning-based methods to analyse abnormality in the digitised tissue samples. Tumour Tissue samples are scanned via special tissue scanners into high magnification whole slide images (WSIs). Machine learning (ML) methods automatically process the WSI and provide useful insights on several aspects of the disease. Data extracted from WSI is combined with patients clinical information to provide useful predictions such as patient survival and response to the treatment plan. She published several papers in histology image analysis using machine learning techniques. |
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