Theodore Trafalis | Industrial and Systems Engineering | Best Researcher Award |

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Prof. Dr. Theodore Trafalis | Industrial and Systems Engineering | Best Researcher Award 

Professor | Industrial and Systems Engineering at The university of Oklahoma | United States

Prof. Dr. Theodore B. Trafalis is a globally recognized expert in industrial engineering and artificial intelligence, known for his pioneering work in machine learning, optimization, and data analytics. As a long-standing faculty member at the University of Oklahoma, he has made significant contributions to academic research, innovation, and applied science. His expertise spans across weather prediction, financial forecasting, manufacturing systems, and intelligent decision-making, with a strong focus on integrating theory with practical impact.

Professional Profile

Scopus | Orcid | Google scholar |

🎓 Education

Dr. Trafalis holds a Ph.D. in Industrial Engineering (1989), an MSIE (1987), and an M.S. in Mathematics (1984) from Purdue University, USA. His academic journey began with a B.S. in Mathematics from the University of Athens, Greece (1982). This strong educational foundation set the stage for his distinguished interdisciplinary research career.

💼 Experience

With over three decades of academic and research experience, Dr. Trafalis currently serves as Professor in the School of Industrial Engineering and Adjunct Professor in the School of Meteorology at the University of Oklahoma. He began his academic career as an instructor at Purdue and has since held numerous international visiting research positions in countries such as Greece, Japan, France, the Netherlands, and Turkey. These roles have strengthened his global academic perspective and collaborative reach.

🔬 Research Interests

His research is centered on machine learning, robust optimization, support vector machines, and data-driven decision-making systems. He has applied these methods to areas like weather forecasting, including tornado prediction, financial modeling, and intelligent systems in manufacturing. His cross-disciplinary approach has enabled impactful advancements in both engineering and environmental sciences, supported by multiple grants from the NSF and NOAA.

🏆 Honors

Dr. Trafalis has received numerous prestigious awards, including the Regents Award for Superior Accomplishment in Research and Creative Activity (University of Oklahoma), and multiple Best Paper Awards at international conferences such as the International Conference on Artificial Neural Networks in Engineering. He has also held fellowships and lectureships including the David Ross Fellowship from Purdue and the Obermann Faculty Fellowship at the University of Iowa.

📚 Top Noted Publications

Linear Discriminant Analysis
Published In: Robust Data Mining, Pages 27–33
Citations: 653
Year of Publication: 2012

Support Vector Machine for Regression and Applications to Financial Forecasting
Published In: Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks
Citations: 498
Year of Publication: 2000

Robust Data Mining
Published By: Springer Science & Business Media
Citations: 215
Year of Publication: 2012

A Hybrid Model for Exchange Rate Prediction
Published In: Decision Support Systems, Volume 42, Issue 2, Pages 1054–1062
Citations: 209
Year of Publication: 2006

Robust Weighted Kernel Logistic Regression in Imbalanced and Rare Events Data
Published In: Computational Statistics & Data Analysis, Volume 55, Issue 1, Pages 168–183
Citations: 173
Year of Publication: 2011

Conclusion

Prof. Dr. Theodore B. Trafalis exemplifies the qualities of a transformative academic leader whose work bridges disciplines and borders. Through his teaching, research, and international collaborations, he continues to push the boundaries of intelligent systems and optimization science. His dedication to impactful research and educational excellence makes him a standout figure in global academia.

Assoc. Prof. Dr Sadullah Çelik | Quantitative Decision Methods | Best Academic Researcher Award |

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Assoc. Prof. Dr. Sadullah Çelik | Quantitative Decision Methods | Best Academic Researcher Award

Aydın Adnan Menders University,Turkey

Assoc. Prof. Dr. Sadullah Çelik is a dynamic academician specializing in international trade, finance, and quantitative decision-making. With a strong foundation in mathematics and econometrics, he brings a multidisciplinary perspective to business and economic sciences. He is currently serving as a faculty member at Aydın Adnan Menderes University, Faculty of Economics and Administrative Sciences, Department of International Trade and Finance. Known for his dedication to teaching, research, and academic leadership, Dr. Çelik has contributed significantly to the development of innovative curricula and the advancement of data-driven decision-making in international business contexts.

profile

Scopus

Orcid

Google scholar

Education

Dr. Çelik earned his Bachelor’s degree in Mathematics from Celal Bayar University (2007–2011), followed by a Master’s degree in Geometry from Ege University, Institute of Science (2011–2013). He later pursued a Ph.D. in Econometrics from Uludağ University, Institute of Social Sciences (2013–2018), solidifying his expertise in statistical and econometric analysis. Demonstrating intellectual versatility, he also completed an associate degree in Opticianry from Ege University’s Atatürk Vocational School of Health Services.

Experience

Dr. Çelik began his academic career as a Research Assistant in the Department of Econometrics at Adnan Menderes University (2014–2021). He later joined the Department of International Trade and Finance, where he was promoted to Doctor Lecturer (2022) and subsequently to Associate Professor (2023). He has also served as the Vice Chair of the Department, showcasing his leadership abilities in academic management and curriculum development. His extensive teaching portfolio includes undergraduate and graduate-level courses such as Econometrics, Research Methods, E-commerce, International Business, and Innovation Management.

Research interest

Dr. Çelik’s primary research interests lie in Quantitative Decision Methods, Data Analytics, Business Statistics, and International Trade and Finance. His work bridges the analytical rigor of mathematics and econometrics with practical applications in global business environments. He is especially interested in how data-driven strategies can enhance international business operations, risk analysis, and financial decision-making processes.

Awards

Dr. Çelik has achieved notable academic milestones, including his appointment as Associate Professor in 2023, marking a significant recognition of his scholarly contributions. His continuous academic promotions—from Research Assistant to Associate Professorship—reflect his commitment to excellence in research, teaching, and service. While specific national or international awards are not detailed, his academic progression itself is a testament to merit and recognition within the Turkish higher education system.

Publications

1. Big Data and Data Visualization by S. Çelik and E. Akdamar, published in Academic Perspective International Refereed Journal of Social Sciences, Issue 65, pages 253–264, in 2018, has received 32 citations.

2. Analyzing Shakespeare’s Corpus with Text Mining by S. Steel, published in MANAS Journal of Social Studies, Volume 9, Issue 3, pages 1343–1357, in 2020, has been cited 17 times.

3. The Importance of Big Data Technologies for Businesses by S. Steel, published in Social Sciences Studies Journal, Volume 3, Issue 6, pages 873–883, in 2017, has accumulated 14 citations.

4. Big Data by S. Steel, published by Night Library, publication number 25931, page 176, in 2018, has received 13 citations.

5. High-frequency Words Have Higher Frequencies in Turkish Social Sciences Articles by N. Gursakal, S. Çelik, and S. Özdemir, published in Quality & Quantity, Volume 57, pages 1865–1887, in 2023, has received 7 citations.

Conclusion

In summary, Assoc. Prof. Dr. Sadullah Çelik is a well-rounded academic with a robust educational background, a strong teaching record, and a research portfolio focused on the intersection of data analytics and international business. His career reflects both depth and breadth in the social sciences, with an emphasis on analytical precision and practical application. With further expansion into international publications and collaborative research, Dr. Çelik is poised to make even greater contributions to academia and the global business research community.

Dr M sangeetha | Operations research | Excellence in Research Award |

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Dr. M sangeetha | Operations research | Excellence in Research Award | 

Professor, at Dr.N.G.P.Arts and Science college , India.

Dr. M. Sangeetha is a Professor of Mathematics with over 22 years of teaching experience and 7 years of dedicated research in Fuzzy Operations Research. She has a strong academic foundation, with expertise in mathematical modeling, optimization techniques, and decision-making processes. Her research contributions, publications, and mentorship of Ph.D. scholars demonstrate her commitment to advancing mathematical sciences.

Professional Profile

Scopus

Education 🎓

Dr. Sangeetha holds a Ph.D. in Mathematics from Chikkanna Government Arts College, Tirupur (2018). She completed her M.Phil. (2009) and M.Sc. (2001) in Mathematics from Government Arts College, Coimbatore. Additionally, she earned a B.Ed. in Mathematics (2010) from St. Marks B.Ed. College and a Postgraduate Diploma in Operations Research (PGDOR, 2015) from Nirmala College for Women, Bharathiar University. She has also completed online certifications in Graph Theory (NPTEL, 2020) and Basics of Python (Infosys Springboard, 2022), showcasing her commitment to continuous learning.

Professional Experience 💼

With 22+ years of college teaching experience, Dr. Sangeetha has been instrumental in shaping the careers of numerous students. She has also mentored 6 Ph.D. scholars (2 submitted synopsis, 6 ongoing), 1 M.Phil. student, and multiple M.Sc. research projects. Her role as an educator extends beyond teaching, fostering a research-driven academic environment.

Research Interests 🌍

Dr. Sangeetha specializes in Fuzzy Operations Research, focusing on fuzzy transportation problems, multi-objective optimization, and intuitionistic fuzzy systems. Her work contributes to decision-making models, logistics, and applied mathematics, addressing real-world challenges through advanced computational techniques and mathematical frameworks.

Awards & Honors 🏆

Dr. Sangeetha has been recognized for her contributions to research and academics. Her work has been published in Scopus-indexed journals, reflecting her commitment to high-quality research. She has also played a significant role in mentoring Ph.D. scholars and guiding research projects, contributing to the academic growth of her institution.

Top Noted Publications 📚

Dr. Sangeetha has authored several research papers in Scopus-indexed journals, focusing on fuzzy logic, transportation problems, and optimization techniques. Some of her notable publications include:

Fuzzy Largest Cost Entry Method of Transportation Problem Using Heptagonal Fuzzy Numbers (Nonlinear Studies, Scopus-indexed)

Multi-Objective Fuzzy Fully Linear Programming Transportation Problem (Mathematical Sciences International Research Journal, Scopus-indexed)

Similarity Measure Model in Intuitionistic Fuzzy Transportation Problem (IJPAM, Scopus-indexed)

Conclusion

Dr. Sangeetha has a strong foundation in research, publications, and mentorship, making her a deserving candidate for the Excellence in Research Award. Strengthening international collaborations, increasing high-impact publications, and securing research grants will further enhance her profile.