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Khaled Salah
Khaled Salah

Khaled Salah

Professor Computer and Information Engineering
Khalifa University, UAE
Bio

Khaled Salah is a Full Professor and the Deputy Director of Research Center on Digital Supply Chain and Operations Management (DSOM), Khalifa University, UAE. He received the B.S. degree in Computer Engineering with a minor in Computer Science from Iowa State University, USA, in 1990, the M.S. degree in Computer Systems Engineering from Illinois Institute of Technology, USA, in 1994, and the Ph.D. degree in Computer Science from the same institution in 2000. He authored 320+ publications and 3 US patents. He delivered over 50 international keynote speeches, invited talks, tutorials, and research seminars on the subjects of Blockchain, Healthcare, AI, Cloud Computing, Cybersecurity, and Sustainability. Khaled received the Competent Communicator and Public Speaking Award from Toastmasters International in April 2017. He is the recipient of many prestigious awards including Khalifa University Research Publications Award 2022, Khalifa University Research Excellence Award of 2021, Khalifa University Citation Excellence Award of 2019, and Khalifa University Outstanding Research Award of 2015, KFUPM University Excellence in Research Award of 2009, and KFUPM Best Research Project Award of 2010, and also the recipient of the departmental awards for Distinguished Research and Teaching in prior years. Khaled ranked #1 in ScholarGPS under highly ranked scholars within KU, for the last 5 years, considering the scholar’s: productivity, quality, and impact. He also Ranked #1 among the top authors worldwide for the past 3 years (2020 to 2023) with the highest publications in the emerging area of “Bitcoin; Ethereum; and IoT”. Khaled acted as the chair of the Track Chair of IEEE Globecom 2018 on Cloud Computing; Serving as an Associate Editor of IEEE Blockchain Tech Briefs, International Journal of “Blockchain in Healthcare”, and a member of the IEEE Blockchain Education Committee. Khaled is an Associate Editor of a number of prestigious journals, including Elsevier’s CEE and ACM DLT.


Leveraging LLMs and Blockchain for Superior Trustworthy Analytics and Recommendations in Healthcare

In this presentation, we show how Large Language Models (LLMs) and Blockchain can be leveraged to provide a more secure, trustworthy analytics and recommendations in healthcare. The knowledge base of Generative AI and LLMs can be expanded to ingest patient and clinical data, which are securely recorded on the blockchain, in order to provide powerful human-like insight, reasoning, and analytics for clinicians to enhance patient care and give a more accurate diagnosis and personalized treatment. As an example, we propose, design, and showcase an LLM and blockchain-based solution to overcome the limitations of today’s Clinical Decision Support Systems (CDSS).

Essential / Professional