Mohd Khaled Shambour | Computational Science | Research Excellence Award

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Prof. Mohd Khaled Shambour | Computational Science | Research Excellence Award

Middle East University | Jordan

Mohd-Khaled Yousef Shambour is a Jordanian professor specializing in Intelligent System Techniques, optimization, and artificial intelligence. He holds a PhD in Intelligent Systems and advanced degrees in computer science, with extensive academic, research, and teaching experience across Jordan and Saudi Arabia. His research focuses on meta-heuristic and evolutionary optimization, data science, scheduling, and deep learning, with strong applications to large-scale real-world problems such as transportation, airport slot scheduling, resource allocation, and mega-event management. He has led and contributed to impactful community-oriented research, particularly in improving services for pilgrims during Hajj and Umrah using AI and data analytics. Prof. Shambour has published widely in high-quality international journals and conferences and serves as an associate editor and reviewer for leading scientific publishers. An experienced educator, he teaches courses spanning AI, machine learning, optimization, data analytics, and programming, and actively contributes to academic service, professional societies, and community development.

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Featured Publications

Chaitanya Kumar Mankala | Computational Science | Best Researcher Award

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Mr. Chaitanya Kumar Mankala | Computational Science | Best Researcher Award

Mr. Chaitanya Kumar Mankala | Villanova University | United States

Dr. Chaitanya K. Mankala is a distinguished technologist and researcher specializing in artificial intelligence, cloud architecture, and large-scale enterprise systems. He has led transformative initiatives at global organizations including Deloitte, Capgemini, and Unisys, driving innovation through the integration of Microsoft Dynamics 365, SAP, and Salesforce platforms. As a top-performing scholar at Villanova University with advanced degrees in Software Engineering and Health Informatics, he is currently pursuing a Ph.D. in Artificial Intelligence. His research explores sustainable real-time natural language processing using serverless architectures and next-generation neuroidal networks, with notable publications and conference presentations at leading international forums such as MDPI, IEEE ISBI, and ICEHTMC. Dr. Mankala’s work bridges AI, cloud technologies, and enterprise intelligence, focusing on developing scalable, ethical, and high-performance digital solutions that shape the future of intelligent systems.

 

Tsomene Doungmo Stany Lionel | Computational Science | Best Researcher Award

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Mr. Tsomene Doungmo Stany Lionel | Computational Science | Best Researcher Award

Mr. Tsomene Doungmo Stany Lionel | University of Yaoundé 1 | Cameroon

Tsomene Doungmo Stany Lionel is a passionate and dedicated researcher in organic chemistry with a strong academic foundation from the University of Yaoundé I. Guided by Dr. Angélique Nicolas Messi, he has developed a deep interest in chemical synthesis, molecular modeling, and sustainable material development. His academic journey has been complemented by active participation in international workshops, scientific conferences, and professional training programs focused on structural biology, drug discovery, and research funding. He possesses excellent digital and analytical skills, proficient in a range of scientific software used for chemical analysis and molecular visualization. Fluent in French and English, Lionel communicates scientific ideas effectively and is committed to contributing to innovative and sustainable advancements in chemistry.

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Featured Publications

Mbeket, S. B. N., Doungmo, S. L. T., & Nicolas, M. A. (2025). Computational insights into C–O–C-type biflavonoids as multi-target inhibitors of ERα, PR, EGFR, and mTOR in breast cancer therapy. Computational and Structural Biotechnology Reports, 100065. https://doi.org/10.1016/j.csbr.2025.100065