VP Academic Affairs, Kuwait University, Kuwait
Professor Mohammed Ali Almulla is a distinguished Kuwaiti academic and researcher. With a career spanning over three decades, he has significantly contributed to the field of computer science, particularly in areas such as web services, emotion recognition, and fuzzy logic techniques. He is currently a Professor at Kuwait University and has held various leadership positions, including Chairman of the Department of Computer Science. His work has garnered recognition through several publications, research awards, and innovations in the realm of machine learning, artificial intelligence, and medical expert systems. Professor Almulla is known for his comprehensive research approach and deep engagement with emerging technologies, bridging academia and industry. His scholarly contributions are frequently cited, underlining his influence within the academic community.
Profile
Education
Professor Almulla completed his B.Sc. (1986), M.Sc. (1990), and Ph.D. (1995) in Computer Science from McGill University, Canada. His Ph.D. thesis, titled “Analysis of the Use of Semantic Trees in Automated Theorem Proving”, laid the foundation for his future research endeavors. With a deep understanding of theoretical and applied computer science, he has focused on machine learning, fuzzy systems, and semantic analysis. His education from McGill University, a globally recognized institution, has helped him build a solid academic foundation. Additionally, he possesses a comprehensive grasp of Arabic and English, enabling him to communicate and collaborate across cultures and academic circles.
Experience
Professor Almulla’s career at Kuwait University started in 1986 when he began as an Instructor. He progressed to Assistant Professor (1995–2006), then Associate Professor (2006–2021), and is currently serving as a Professor (2021–present). He has also been actively involved in departmental administration, having served as Chairman (2015–2020) and Graduate Program Director (2010–2013). Under his leadership, the Department of Computer Science achieved ABET accreditation, an outstanding accomplishment. His role as Acting Chairman in Mathematics and Computer Science in various periods further exemplifies his leadership skills. His dedication to advancing higher education and research has been integral to the development of the computer science field in Kuwait.
Awards and Honors
Professor Almulla’s academic excellence has been recognized through several Incentive Rewards for Unfunded Research in 2014, 2015, and 2017, with impactful papers published in journals such as Knowledge-Based Systems. His work on service trust behaviors, web services ranking, and fuzzy techniques has earned him significant recognition. He was also honored with Distinctive Teaching Awards in both the College of Computer Science and Engineering (2011/2012) and the Faculty of Science (2001/2002). These awards underscore his excellence in teaching, his commitment to innovative research, and his positive impact on student education.
Research Focus
Professor Almulla’s research focuses on a wide array of cutting-edge topics in computer science. Key areas of expertise include machine learning, fuzzy systems, service trust behaviors, and medical expert systems. His recent work explores emotion recognition systems, federated learning, and web services ranking. In addition, he has contributed to advancements in semantic similarity, automated theorem proving, and healthcare applications. With an eye toward the future, his research continues to bridge the gap between theoretical models and real-world applications, particularly in healthcare and artificial intelligence.
Publication top Notes
- A Trust-based Global Expert System for Disease Diagnosis Using Hierarchical Federated Learning 🏥🤖
- A Novel CLIPS-based Medical Expert System for Migraine Diagnosis and Treatment Recommendation 💡🧠
- On the Effect of Prior Knowledge in Text-Based Emotion Recognition 🧠💬
- A Multimodal Emotion Recognition System Using Deep Convolution Neural Networks 🖥️🔍
- Location-based Expert System for Diabetes Diagnosis and Medication Recommendation 🏥💊
- Measuring Semantic Similarity between Services Using Hypergraphs 🧠🌐
- Specification and Recognition of Service Trust Behaviors 💻✅
- Next-Generation Sequencing in Familial Breast Cancer Patients from Lebanon 🧬🎗️
- A New Framework for the Verification of Service Trust Behaviors 🛡️💡
- GeoCover: An Efficient Sparse Coverage Protocol for RSU Deployment over Urban VANETs 🚗🌍
- A New Fuzzy Hybrid Technique for Ranking Real World Web Services 🌐🔍