Mohammed Almulla | Prescriptive Analytics | Research Excellence Award

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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

Modafar Ati | Machine Learning and AI Applications | Best Researcher Award

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Assoc. Prof. Dr. Modafar Ati | Machine Learning and AI Applications | Best Researcher Award

Abu Dhabi University | United Arab Emirates

Assoc. Prof. Dr. Modafar Ati is an accomplished academic and researcher in Computer Science and Information Technology with extensive experience in teaching, curriculum development, and leadership. He holds a BSc in Electrical & Communication Engineering and a PhD in Electrical & Computing Engineering from Newcastle upon Tyne, UK. Dr. Ati has over three decades of experience in both academia and industry, serving in senior roles including Associate Professor at Abu Dhabi University, Acting Dean at Sohar University, and Assistant Dean at multiple institutions in Oman. His professional expertise spans software development, systems integration, networking, ICT, project management, Service-Oriented Architecture (SOA), Artificial Intelligence, Big Data, Cybersecurity, and eHealth smart systems. He has published numerous research articles focusing on AI-driven Chronic Disease Management and smart healthcare systems and has led research groups in eGovernment and ICT. Dr. Ati has received multiple grants and awards, including the Chancellor Innovation Award, and serves on editorial boards and as a senior reviewer for international journals and conferences. His teaching portfolio covers programming, network security, project management, human-computer interaction, and mobile application development. Dr. Ati’s contributions to education, research, and innovation reflect a strong commitment to advancing technology-driven solutions in healthcare, smart cities, and digital systems.

Profile : Google Scholar

Featured Publications

Hussein, A. S., Omar, W. M., Li, X., & Ati, M. (2012). “Efficient chronic disease diagnosis prediction and recommendation system” in 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 209–214.

Mohamed, O., Kewalramani, M., Ati, M., & Al Hawat, W. (2021). “Application of ANN for prediction of chloride penetration resistance and concrete compressive strength” in Materialia, 17, 101123.

Mohamed, O. A., Ati, M., & Najm, O. F. (2017). “Predicting compressive strength of sustainable self-consolidating concrete using random forest” in Key Engineering Materials, 744, 141–145.

Hussein, A. S., Omar, W. M., Li, X., & Ati, M. (2012). “Accurate and reliable recommender system for chronic disease diagnosis” in Global Health, 3(2), 113–118.

Ati, M., Kabir, K., Abdullahi, H., & Ahmed, M. (2018). “Augmented reality enhanced computer aided learning for young children” in 2018 IEEE Symposium on Computer Applications & Industrial Electronics.

Irfanullah Khan – Information and Communication Technologies – Best Researcher Award 

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Mr. Irfanullah Khan - Information and Communication Technologies - Best Researcher Award 

University of Calabria - Italy

Author Profile

Early Academic Pursuits

Mr. Irfanullah Khan embarked on his academic journey with a keen interest in Electrical Engineering, specializing in Communication. He demonstrated early academic prowess, evident from his Higher Secondary School Certificate and Secondary School Certificate achievements in Science Group, laying a robust foundation for his future academic pursuits. His thirst for knowledge led him to pursue a Bachelor's degree in Electrical Engineering (Communication) from the esteemed University of Engineering & Technology Peshawar, Pakistan. During his undergraduate years, he delved into research, culminating in his thesis on "Real-Time Bus Arrival Information System," showcasing his early inclination towards innovative solutions to real-world problems.

Professional Endeavors

Mr. Khan's professional journey commenced with a significant milestone - securing a Teaching Certificate from Allama Iqbal Open University, Islamabad, Pakistan. This certification equipped him with the pedagogical skills necessary for his subsequent roles. Subsequently, he ventured into the realm of Information Technology, earning a Diploma in Information Technology from Pearl Lakki Marwat, Pakistan. His diverse educational background laid the groundwork for his multifaceted career trajectory.

His technical acumen and passion for research propelled him into the corporate world, where he served as a Technical Officer at China Mobile, Pakistan. This role provided him with hands-on experience in the telecommunications industry, honing his practical skills and understanding of industry dynamics. Additionally, his tenure as a Teaching & Research Assistant at the University of Calabria showcased his commitment to academia, where he imparted knowledge in Python Machine Learning to MS students, bridging the gap between theoretical concepts and practical applications.

Contributions and Research Focus

Mr. Khan's research focus spans a plethora of cutting-edge topics, including IoT, Energy Efficiency, Smart Buildings, Occupancy Prediction, and Activity Recognition. His doctoral research at the University of Calabria delves into the intersection of Information and Communication Technology, exploring innovative solutions to enhance energy efficiency and predictive analytics in smart building environments. His contributions to academia are underscored by a series of research publications, elucidating his expertise in areas such as UWB Radar Technology for Activity Recognition, Occupancy Prediction leveraging Federated Learning, and Priority-based Content Dissemination in Vehicular Networks.

Accolades and Recognition

Throughout his academic and professional journey, Mr. Khan has garnered prestigious accolades and recognition, validating his contributions to the field. Noteworthy achievements include receiving the Chinese Government Scholarship, Best Paper Award at an International IEEE Conference, and accolades for his exemplary Final Year Project during his undergraduate studies. These accolades underscore his academic excellence and innovative prowess, positioning him as a trailblazer in his field.

Impact and Influence

Mr. Khan's research endeavors have made a significant impact on academia and industry alike. His publications serve as seminal contributions to the field, addressing pressing challenges in IoT, Energy Efficiency, and Predictive Analytics. Furthermore, his role as a Teaching Assistant and Research Assistant underscores his commitment to knowledge dissemination and mentorship, shaping the next generation of scholars and practitioners in the field of Information and Communication Technology.

Legacy and Future Contributions

As Mr. Khan continues to advance in his academic and professional journey, his legacy is poised to leave an indelible mark on the field of Information and Communication Technology. His interdisciplinary research approach, coupled with a passion for innovation, promises to revolutionize smart building technologies and predictive analytics. With a commitment to excellence and a thirst for knowledge, Mr. Khan's future contributions are bound to shape the trajectory of research in IoT, Energy Efficiency, and beyond, leaving a lasting legacy for generations to come.

Notable Publication