Mohammed Almulla | Prescriptive Analytics | Research Excellence Award

Prof. Mohammed Almulla | Prescriptive Analytics | Research Excellence Award

Kuwait University | Kuwait

Prof. Mohammed Almulla is a distinguished computer scientist with a Ph.D. from McGill University, Canada. He has served Kuwait University for over three decades, progressing from Assistant Professor to Professor, and held key administrative roles including Department Chair and Acting Vice President. His research focuses on artificial intelligence, automated theorem proving, database systems, and digital transformation in education. He contributed to ABET accreditation, ICT infrastructure, and eLearning initiatives, and actively participates in international conferences and journal reviews. Recognized for his leadership and innovation, he has received awards for informatics excellence, fostering advancements in computing education and research.

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Top 5 Publications

Data-Driven Anesthesia: An Ensemble Model for Propofol and Remifentanil Dosage Control During Medical Surgery

International Journal of Research and Scientific Innovation, 2025
DOI: 10.51244/ijrsi.2025.121500017p
Authors: Abas Almaayofi, Farah Almulla, Mohammed A. Almulla
A Trust-Based Global Expert System for Disease Diagnosis Using Hierarchical Federated Learning

Journal of Engineering Research, 2025
DOI: 10.1016/j.jer.2025.03.001
Authors: Farah M. Almulla, Mohammed A. Almulla
A Novel CLIPS-Based Medical Expert System for Migraine Diagnosis and Treatment Recommendation

Kuwait Journal of Science, 2025
DOI: 10.1016/j.kjs.2024.100310
Author: Mohammed A. Almulla
On the Effect of Prior Knowledge in Text-Based Emotion Recognition

International Journal of Research and Scientific Innovation, 2024
DOI: 10.51244/ijrsi.2024.1108005
Author: Mohammed A. Almulla
Facial Expression Recognition Using Deep Convolution Neural Networks

IEEE Annual Congress on Artificial Intelligence of Things (AIoT), 2024
DOI: 10.1109/aiot63253.2024.00022
Author: Mohammed A. Almulla

Wenhu Xu | Quantitative Research | Best Researcher Award

Mr. Wenhu Xu | Quantitative Research | Best Researcher Award

Peking University | China

Wenhu Xu is a doctoral candidate in Demography at Peking University, with a master’s degree in Social Work from the same institution and a bachelor’s degree from Jimei University. His research focuses on population aging, elderly health, social policy, and the silver economy. Xu has actively contributed to national research projects, including the National Key Research and Development Plan and the National Social Science Foundation major project on elderly care systems with Chinese characteristics. His work has been published in both international and Chinese core journals, addressing topics such as chronic diseases, medical burden, and the impact of AI and accessibility technologies on vulnerable groups. He has presented at multiple international conferences, including IJCAI and AIDBEI, and received distinctions such as the Peking University May Fourth Scholarship and recognition as a merit student. Xu’s academic endeavors integrate demographic analysis with social innovation, emphasizing data-driven insights for improving health equity and active aging. His goal is to contribute to policy optimization and the sustainable development of China’s aging society through interdisciplinary research and evidence-based strategies.

Profile: Scopus

Featured Publication

A Cohort of Sociodemographic and Health-Related Risk Factors for All-Cause Mortality in Middle-Aged and Older Adults in China, 2025