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.

 

Saleem Ramadan | Data Science | Best Researcher Award

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Assoc. Prof. Dr. Saleem Ramadan | Data Science | Best Researcher Award

Assoc. Prof. Dr. Saleem Ramadan | Al Hussein Technical University | Jordan

Dr. Saleem Z. Ramadan is an accomplished Data Analyst and Business Analyst with a strong interdisciplinary background in industrial engineering, systems optimization, and data science. With academic and consulting experience across the U.S. and Jordan, he has applied data-driven decision-making, predictive analytics, and optimization modeling to complex problems in healthcare, manufacturing, and finance. Dr. Ramadan holds a Ph.D. in Systems Engineering from Ohio University and has served as Acting Chair and Associate Professor at Al Hussein Technical University, leading research and teaching initiatives integrating machine learning and operations analytics. He has developed impactful analytics solutions—ranging from hydroponic resource optimization and radiology workflow improvement to financial risk dashboards—using tools such as Python, SQL, Power BI, Tableau, and Minitab. His consulting work with Healthcare Operations & Performance Excellence (HOPE) led to measurable improvements in hospital performance through Six Sigma and process control techniques. A Certified Analytics Professional (CAP) and Microsoft Power BI Data Analyst Associate, Dr. Ramadan has authored 20 peer-reviewed publications, accumulating 236 citations from 230 documents with an h-index of 6. His recent works focus on machine learning–driven optimization, surgical scheduling prediction, and additive manufacturing parameter tuning. Dr. Ramadan’s combination of technical proficiency, academic leadership, and applied research impact uniquely positions him at the intersection of analytics innovation and business performance excellence.

Profiles:  Scopus | Google Scholar | LinkedIn

Featured Publications

Ramadan, S., Abushams, M., Al-Dahidi, S., & Odeh, I. (2025). A data-driven approach for predicting remaining intra-surgical time and enhancing operating room efficiency. Journal of Industrial Engineering and Management.

Ramadan, S., Abushams, M., Al-Dahidi, S., & Odeh, I. (2024). Optimizing tensile strength and energy consumption for FDM through mixed-integer nonlinear multi-objective optimization and design of experiments. Heliyon.