Assist. Prof. Dr. Neylan kaya | Decision-making and Problem-solving | Best Researcher Award

Assist. Prof. Dr. Neylan kaya | Decision-making and Problem-solving | Best Researcher Award

Akdeniz University | Turkey

Neylan Kaya is an Assistant Professor in the Department of Business at Akdeniz University, Faculty of Economics and Administrative Sciences. She holds a PhD in Business Administration from Süleyman Demirel University, a master’s degree in Business Administration from Akdeniz University, and an undergraduate degree in Mathematics from Akdeniz University. Since 2018, she has been actively involved in undergraduate and postgraduate teaching, delivering courses such as Operations Research, Managerial Decision Making, and Mathematics. Her academic experience is complemented by extensive jury memberships and participation in numerous national and international scientific conferences. Her research interests lie primarily in quantitative methods, efficiency and productivity analysis, multi-criteria decision-making techniques (such as DEA, VIKOR, TOPSIS, PROMETHEE, and MCDM), corporate governance, ESG practices, insurance and banking performance, and sustainability-related management studies. She has published widely in peer-reviewed international and national journals indexed in SCI-Expanded, SSCI, ESCI, and Scopus, as well as contributed chapters to academic books. Her scholarly work has gained recognition through high-impact journal publications and active involvement in reputable scientific congresses. Overall, her academic profile reflects a strong commitment to advancing evidence-based management research, fostering analytical thinking in higher education, and contributing to the development of quantitative and sustainability-oriented approaches in business and management sciences.

Profile:  ORCID

Featured Publications

Kaya, N., & Atsan, N. (2025). How green transformational leadership influences employee green behavior: The mediating role of green intrinsic motivation. Journal of Environmental Management.

Kaya, N., Bozcuk, A. E., Tutcu, B., Terzioğlu, M., & Ünal Uyar, G. F. (2025). Evaluating ESG practices from the perspective of transparency and accountability through clustering analysis and MCDM methods. Sustainability.

Kaya, N. (2025). Sigorta şirketlerinin stokastik sınır analizi ile etkinliği: Bir meta analiz. Adıyaman Üniversitesi Sosyal Bilimler Enstitüsü Dergisi.

Raghubir Singh-Best Researcher Award -Decision-making and Problem-solving

Congratulations, Raghubir Singh- Best Researcher Award -Decision-making and Problem-solving-Award Winner 2023 🏆

Dr.Aghubir Singh-Decision-making and Problem-solving

Congratulations to Dr. Raghubir Singh! 🎉 We are thrilled to announce that Dr. Raghubir Singh has been honored with the prestigious Best Researcher Award in the field of Decision-making and Problem-solving. This recognition is a testament to Dr. Singh's outstanding contributions, unwavering dedication, and innovative research in these critical domains.

Professional Profile 

Orcid

Early Academic Pursuits:

Dr. Raghubir Singh embarked on his academic journey at the University of Bristol, UK, where he pursued a Ph.D. in Computer Science from 2017 to 2021. Under the guidance of esteemed advisors, Dr. George Oikonomou, Dr. Simon Armour from the University of Bristol, and Prof. Mahesh Sooriyabandara from Toshiba Research and Innovation Lab, Bristol, UK, he laid the foundation for his research career.

Professional Endeavors:

Following his academic achievements, Dr. Singh joined the School of Computer Science & Engineering at the University of Westminster as a Research Associate in Cloud Computing from January to August 2021. During this period, he actively contributed to a project funded by the European Commission's Horizon 2020 initiative, titled "Digital twins bringing agility and innovation to manufacturing SMEs" (DIGITbrain). This experience allowed him to collaborate with a dynamic research group led by Prof. Tamas Kiss and resulted in the publication of two research conference papers in IEEE World AI IoT Congress 2022 and IEEE IEMCON 2022.

Contributions and Research Focus:

Dr. Singh's research profile revolves around understanding computation structures and translating this understanding into the development of machine learning models for distributed systems. His research interests span Applied Machine Learning, Artificial Intelligence, and Ubiquitous Computing. Notably, he has made significant contributions to the field, evident in his peer-reviewed journal articles and conference papers. His work on topics like Edge AI and Next Generation Edge Computing showcases a commitment to advancing knowledge in these domains.

Accolades and Recognition:

Throughout his academic and professional journey, Dr. Singh has received accolades and recognition for his impactful contributions. His paper titled "HSAM: Hybrid Sentiment Analysis Model for COVID-10 Contact Tracing Application" earned him the Best Paper Presentation Award at the IEEE World AI IoT Congress in 2023. Additionally, his dedication to research excellence is reflected in his involvement as a reviewer for European Union R&D projects and various journals and conferences.

Impact and Influence:

Dr. Raghubir Singh's research has left a notable impact on the academic community, evident in the quality of his peer-reviewed publications and his role as a technical committee member for prestigious conferences. His expertise in areas such as Computational Offloading in Multi-Access Edge Computing has contributed to the ongoing evolution of these fields.

Legacy and Future Contributions:

As an academic leader, Dr. Singh has demonstrated exceptional skills in teaching, mentoring students, and fostering international collaborations. His role as a lecturer and program leader at various institutions, including the University of Bath, Wrexham Glyndwr University, and the University of Dundee, highlights his commitment to shaping the next generation of computer scientists. Dr. Singh's future contributions are anticipated to further advance the understanding of machine learning and artificial intelligence, leaving a lasting legacy in the academic and research communities.