Sukumar Letchmunan | Computer Science | Best Researcher Award

Published on by Database Scientist

Dr. Sukumar Letchmunan | Computer Science | Best Researcher Award

University Sains Malaysia | Malaysia

Dr. Sukumar Letchmunan is an accomplished researcher and academic at Universiti Sains Malaysia, specializing in Software Engineering, Machine Learning, Software Metrics, and Service-Oriented Software Engineering. His research primarily focuses on developing intelligent computational models and data-driven frameworks that address complex real-world problems in domains such as crime prediction, healthcare analytics, uncertainty modeling, and sustainable digital systems. Over the years, Dr. Sukumar Letchmunan has made significant contributions to artificial intelligence applications through the integration of fuzzy logic, evidential theory, and deep learning, as reflected in his high-impact publications in leading journals including IEEE Access, ACM Transactions on Knowledge Discovery from Data, Knowledge-Based Systems, and Applied Soft Computing. His collaborations have produced novel methods for multi-view evidential clustering, belief function-based uncertainty representation, and medical decision-making systems, demonstrating his expertise in handling imprecision in data-centric environments. Notably, his works on AI-driven crime forecasting, machine learning-based diabetes prediction, and deep neural network analysis for human activity recognition have been widely cited, influencing interdisciplinary research across computer science and healthcare informatics. With a strong record of international collaboration, particularly with researchers from China, Turkey, and Saudi Arabia, Dr. Sukumar Letchmunan continues to advance the frontier of trustworthy and interpretable AI systems. His recent works in fuzzy similarity measures, transformer-based spatiotemporal modeling, and green decision-making frameworks exemplify his commitment to enhancing computational intelligence for sustainable and socially relevant applications. With 1,298 citations, an h-index of 19, and an i10-index of 22, Dr. Sukumar Letchmunan research impact underscores his influential role in advancing next-generation AI methodologies and their meaningful application to global scientific and societal challenges.

Profiles: Google Scholar | Scopus | Orcid

Featured Publications

1. Butt, U. M., Letchmunan, S., Ali, M., Hassan, F. H., Baqir, A., & Sherazi, H. H. R. (2021). Machine learning based diabetes classification and prediction for healthcare applications. Journal of Healthcare Engineering, 2021(1), 9930985.

2. Khaw, T. Y., Teoh, A. P., Abdul Khalid, S. N., & Letchmunan, S. (2022). The impact of digital leadership on sustainable performance: A systematic literature review. Journal of Management Development, 41(9–10), 514–534.

3. Butt, U. M., Letchmunan, S., Hassan, F. H., Ali, M., Baqir, A., & Sherazi, H. H. R. (2020). Spatio-temporal crime hotspot detection and prediction: A systematic literature review. IEEE Access, 8, 166553–166574.

4. Liu, Z., & Letchmunan, S. (2024). Enhanced fuzzy clustering for incomplete instance with evidence combination. ACM Transactions on Knowledge Discovery from Data, 18(3), 1–20.

5. Liu, Z., Huang, H., Letchmunan, S., & Deveci, M. (2024). Adaptive weighted multi-view evidential clustering with feature preference. Knowledge-Based Systems, 294, 111770.

Ibrahim Dalbudak | Indexing Techniques | Best Researcher Award

Published on by Database Scientist

Mr. Ibrahim Dalbudak | Indexing Techniques | Best Researcher Award

Usak University | Turkey

Mr. İbrahim Dalbudak is a distinguished academic and Associate Professor in the Department of Sports Management at Uşak University’s Faculty of Sports Sciences, whose career is defined by a profound commitment to sports science, particularly in the realm of adaptive sports and the inclusion of individuals with disabilities. His academic journey, rooted in Physical Education and Sports Teaching, was solidified with advanced degrees where his seminal research investigated the psychological profiles including emotional intelligence, aggression, and stress levels of visually impaired athletes, establishing a foundational focus that continues to inform his work. An exceptionally prolific scholar, Mr. İbrahim Dalbudak has authored a substantial body of research published in numerous international refereed journals, exploring diverse themes such as the psychological well-being of athletes with disabilities, motivation, nutrition, and the broader socio-economic aspects of sports. His dedication extends beyond publication through active mentorship as a supervisor of graduate theses and participation in significant national and international projects, including pioneering research on implementing the DIR model to teach sport and life skills to hearing-impaired children. Complementing his research and teaching, he has demonstrated significant leadership by occupying crucial administrative positions such as Director of the Research and Application Center, Manager of the Disabled Unit, and membership on the University Senate. This blend of scholarly excellence, dedicated mentorship, and administrative service underscores a career consistently devoted to understanding and promoting the holistic benefits of sports, with a specialized and impactful emphasis on ensuring athletic participation is accessible and beneficial for disabled individuals, thereby championing inclusivity within the field.

Profile: Google Scholar | Orcid

Featured Publications

  • Dalbudak, İ., Yilmaz, T., & Yigit, Ş. (2020). Nomophobia levels and personalities of university students. Journal of Education and Learning, *9*(2), 166–177.

  • Afyon, Y. A., Mülazimoğlu, O., Celikbilek, S., Dalbudak, İ., & Kalafat, Ç. (2021). The effect of Tabata training program on physical and motoric characteristics of soccer players. Progress in Nutrition, *23*(S2), e2021255.

  • Dalbudak, İ., & Yigit, Ş. (2019). Hearing impaired students’ attitudes towards physical education and sports. Journal of Education and Training Studies, *7*(9), 55–60.

  • Dalbudak, İ., Gürkan, A. C., Yigit, Ş. M., Kargun, M., Hazar, G., & Dorak, F. (2016). Investigating visually disabled students’ attitudes about physical education and sport. International Journal of Environmental and Science Education, *11*(16), 9437–9447.

  • Dalbudak, İ., & Yaşar, Ö. (2021). Study of the social acceptance and self-esteem levels of high school students who do sports towards disabled students. Journal of Educational Psychology – Propositos y Representaciones, *9*.

  • Dalbudak, İ., & Yiğit, Ş. (2021). Technology use attitudes of teachers in the field of special education. Propósitos y Representaciones, *9*(SPE2), 1014.

  • Dalbudak, İ., & Yiğit, Ş. (2019). Evaluation of healthy lifestyle behaviors of B2-B3 visually impaired people doing sports. European Journal of Physical Education and Sport Science.

  • Dalbudak, İ., & Balyan, M. (2021). The relation between psychological wellness and perception of success of high school students doing sports. Revista on line de Política e Gestão Educacional, *25*(2), 1432–1450.