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.

Arun Gupta |  Fluid Mechanics | Best Researcher Award

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Dr. Arun Gupta |  Fluid Mechanics | Best Researcher Award

University Institute of Engineering And Technology | India

Dr. Arun Kumar Gupta is an accomplished academician and researcher in the field of Chemical Engineering with over twenty-three years of teaching and research experience. He is currently serving as an Associate Professor at the University Institute of Engineering and Technology, Chhatrapati Shahu Ji Maharaj University, Kanpur. Dr. Gupta holds a B.Tech in Chemical Engineering from UIET, CSJMU, an M.Tech, and a Ph.D. in Chemical Engineering from IIT Kanpur. His research interests encompass process modeling and simulation, sustainable chemical processes, environmental engineering, smart farming systems, and the application of IoT and machine learning in chemical engineering. With 27 publications, 14 edited chapters, 3 books, and 1 completed project under the CV Raman Scheme, he has made significant scholarly contributions. He has organized and participated in numerous workshops, conferences, and faculty development programs and has been recognized with several honors, including the “Excellence in Academics Award” at the INDO–THAI International Excellence Awards 2024 and a Gold Medal in the NPTEL ASPEN course. Dr. Gupta’s innovative work has also led to two patents in smart irrigation and sustainable reactor design. Dedicated to advancing engineering education and research, he continues to inspire students and contribute to technological innovation.

Profiles : Orcid | Google Scholar

Featured Publications

Chandra, A.K., Khan, W., Gupta, A.K., Patel, P.B., & Niranjan, R.S. (2025). “E‐Waste: A Leading Hazardous Waste.” In Global Waste Management (pp. 29–61).

Lal, A., Gupta, A.K., Kumar, A., & Indu, N.K.Y. (2010). “Manufacture and study of physico-chemical properties of Karanja bio-diesel.” In Proceedings on Renewable Energy and Sustainable Biofuels (Vol. 4).

Gupta, G.D., & Arun Kumar, G. (2022). “Enhancement in activity and reusability of dry Amberlyst-15 catalyst by thermal treatment for production of biodiesel from Karanja oil.” In Asian Journal of Chemistry, 35(1), 62–68.

Gupta, A.K., & Deo, G. (2018). “A single-step process to convert Karanja oil to fatty acid methyl esters using Amberlyst-15 as a catalyst.” In Chemical and Biochemical Engineering Quarterly, 32(1), 1–10.

Chiu, K., Gupta, A., Afxentiou, T., Ashraf, A., Kanani, R., Rajaguru, K., Bhatt, N., et al. (2025). “Impact of multiprofessional radiotherapy peer review on multidisciplinary team meeting staging in head and neck cancer.” In Clinical Oncology, 38, Article 103696.

Gupta, A.K. (2023). “Various methods for enhancement in heterogeneous catalyzed biodiesel production reaction rate.” In Journal of the Indian Chemical Society, 100(100970), 4.