Gangai Selvi | Econometrics and Statistical Economics | Women in Statistics Award

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Dr. Gangai Selvi | Econometrics and Statistical Economics | Women in Statistics Award

Tamil Nadu Agricultural University | India

Dr. R. Gangai Selvi, M.Sc., M.Phil., Ph.D., is a distinguished Professor of Statistics in the Department of Physical Sciences and Information Technology at the Agricultural Engineering College and Research Institute, Tamil Nadu Agricultural University (TNAU), Coimbatore, known for her exemplary contributions to teaching, research, and academic development. She holds a Ph.D. in Econometrics from TNAU, an M.Phil. and M.Sc. in Statistics, and a B.Sc. from PSG College of Arts and Science, along with a Diploma in Computer Applications and certifications in programming, reflecting a strong foundation in both statistical theory and computational methods. Dr. Gangai Selvi’s areas of specialization encompass Econometrics, Spatial Econometrics, Applied Statistics, Design of Experiments, Data Analytics, Biostatistics, and Statistical Methods, complemented by her proficiency in statistical software including R, SAS, SPSS, SYSTAT, and STATA. She has developed innovative ICT-based learning tools, most notably the “TNAU Statistics Quiz” Android Mobile App and its corresponding software version, both officially recognized with copyrights for their contribution to student learning and competitive exam preparation, including ICAR and other agricultural examinations. In addition, she has mentored numerous students in technology-enhanced education initiatives, guided mobile app development projects, and created educational YouTube content to support interactive learning. Her teaching portfolio spans undergraduate, postgraduate, and doctoral courses, covering a wide range of topics such as Applied Statistics, Statistical Methods, Design of Experiments, Statistical Inference, Sampling Techniques, Econometrics, Biostatistics, Multivariate Analysis, Regression Analysis, and Statistical Quality Control, reflecting her commitment to cultivating analytical and research skills among students. Her research experience includes serving as Principal Investigator and Co-Principal Investigator on major projects, focusing on areas such as big data analytics, crop yield prediction, agricultural variability, and spatial econometric modeling, with outcomes contributing significantly to the field of agricultural statistics. Dr. Gangai Selvi’s scholarly work, combined with her innovative approach to education and technology integration, establishes her as a respected academic, educator, and thought leader in statistical and econometric research.

Profiles: Google Scholar | Orcid

Featured Publications

Tao Zhong | Machine Learning and Statistics | Best Researcher Award

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Dr. Tao Zhong | Machine Learning and Statistics | Best Researcher Award

Sun Yat-sen University | China

Dr. Zhong Tao is a dedicated interdisciplinary researcher specializing in environmental engineering, material science, and computational modelling. A native of Chongqing, China, he is a member of the Communist Party of China and currently based in Guangzhou. He earned his Bachelor’s degree in Environmental and Ecological Engineering with a minor in Computer Science and Technology from Sichuan Agricultural University, followed by a Master’s in Environmental Science and Engineering from Guangxi University under Prof. Yu Zebin, and is pursuing his Doctor of Engineering (Ph.D.) in Resources and Environment at Sun Yat-sen University under Prof. He Chun. His research focuses on the design and development of high-activity environmental functional materials for atmospheric and water pollutant removal, catalytic ozonation, and clean-energy catalysis, including hydrogen production via water splitting. He also employs Density Functional Theory (DFT) to analyze catalytic materials and pollutant molecular structures, building structure–property relationships to guide experiments. Dr. Zhong has contributed to 31 SCI-indexed papers, including 11 as first or co-first author, and applied for 5 patents, with 4 granted. His ongoing research includes national and provincial projects as principal investigator or key contributor. He has received multiple national and university-level scholarships and awards for academic excellence, innovation, and leadership. His Scopus metrics reflect a growing international influence, with an h-index of 10, 22 documents, and over 343 citations, underscoring his strong academic productivity. Known for his rigorous research approach, interdisciplinary collaboration, and mentoring of peers and students, Dr. Zhong also pursues interests in history, literature, and sports, maintaining an optimistic, resilient, and disciplined outlook that complements his scientific career.

Profiles: Scopus 

Featured Publications

Guo, X., Yao, Z., Long, X., Zeng, L., Wang, C., Fang, Z., Zhong, T., Tian, S., Shu, D., & He, C. (2025). Recent advances in tailored nanostructured ozonation catalysts for enhanced VOCs removal: Synergistic optimization of scale configuration and electronic microenvironment.

Zhong, T., Yao, Z., Zeng, L., Zhao, H., Long, X., Li, T., Tian, S., & He, C. (2025). Manipulating spin-configuration via electron reverse overflow to dynamically tune the adsorption behavior of sulfur-containing intermediates for enhanced sulfur resistance.

Aladji Abatchoua Madi Madi Ibram | Multivariate Statistical Analysis | Best Researcher Award

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Dr. Aladji Abatchoua Madi Madi Ibram | Multivariate Statistical Analysis | Best Researcher Award

University of Ebolowa | Cameroon

Dr. Aladji Abatchoua Madi Madi Ibram is a distinguished academic and researcher currently serving as the Head of the Department of Biological Sciences Applied to Agriculture at the University of Ebolowa, Cameroon. He holds a Ph.D. in Genetics and Plant Breeding, with a specialized focus on genetic variability, plant improvement, and sustainable agricultural development. As a lecturer, he teaches a wide range of subjects including Mendelian and Morganian genetics, quantitative traits genetics, and seed production. His research primarily emphasizes improving crop yield and nutritional quality in economically important plants, thereby contributing to both food security and human health. Dr. Aladji Abatchoua’s scientific contributions have been recognized across several reputed platforms such as Springer, BMC, Nature Portfolio, Scientific American, Palgrave Macmillan, and Adis. He has published over 14 research papers in internationally indexed journals, showcasing his dedication to advancing plant genetics and breeding. His collaborative research with the University of Ngaoundéré and the University of Yaoundé 1 has further enhanced the understanding of genotype–environment interactions, particularly in crops like sesame and peanut, to identify stable and high-yielding varieties suitable for diverse agro-ecological zones. Beyond his research endeavors, he actively contributes to the academic community as a reviewer for several international journals, including the Journal of Plant Sciences, International Journal of Genetics and Genomics, and Journal of Plant Studies, ensuring the maintenance of high-quality peer-reviewed publications. His commitment to scientific excellence has been acknowledged through multiple certificates of excellence in peer reviewing from reputable international journals such as BP International and the Journal of Experimental Agriculture International. Through his academic leadership, innovative research, and dedication to agricultural advancement, Dr. Aladji Abatchoua Madi Madi Ibram continues to play a pivotal role in fostering agricultural innovation and scientific integrity in Cameroon and beyond.

Profiles:  Orcid

Featured Publications

Aladji Abatchoua Madi Madi Ibram. (2025). Genetic analysis of common bean (Phaseolus vulgaris L.) for root traits, yield components and seed yield. Journal of Applied Genetics.

Om Sambhaji Shelke | Operations Research and Statistical Optimization | Excellence in Research Award

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Dr. Om Sambhaji Shelke | Operations Research and Statistical Optimization | Excellence in Research Award

Sinomune Pharmaceutical Co. Ltd | China

Dr. Om Sambhaji Shelke is a highly accomplished pharmaceutical scientist with extensive expertise in the formulation and development of topical, semisolid, solid, and liquid drug products. Holding a Ph.D. in Pharmacy and an M. Pharmacy from Savitribai Phule Pune University, he has over a decade of experience across global markets including the US, EU, China, Hong Kong, and India. Currently serving as Chief Scientist at Sinomune Pharmaceutical Co. Ltd. in Wuxi, Jiangsu, China, Dr. Shelke leads the development of generic topical products for the NMPA market. He is skilled in Quality by Design (QbD)-based development of creams, ointments, gels, shampoos, and solutions, with specialization in novel formats such as emulgel, organogel, nanogel, solid lipid nanoparticles, suspensions, and toothpaste. He also holds three granted patents and has published multiple scientific and technical articles. Throughout his career, he has received multiple awards recognizing his innovation, knowledge sharing, and leadership, including the StarFire Award. Dr. Shelke has held pivotal roles at leading pharmaceutical and consumer healthcare companies such as Prinbury Biopharm Co. Ltd., Encube Ethicals Pvt Ltd., Bright Future Pharmaceuticals Ltd., Unilever Industries Pvt Ltd., Abbott Healthcare Pvt Ltd., Dr. Reddy’s Laboratories, and Glenmark Pharmaceuticals Ltd., contributing to both regulatory-compliant NDA, ANDA, and 505(b)(2) products as well as OTC, cosmetic, and personal care formulations. His professional journey reflects a consistent commitment to scientific excellence, innovative product development, and leadership in cross-functional teams, positioning him as a prominent figure in global pharmaceutical research and development.

Profiles: Google Scholar | Orcid

Featured Publications

F. Jie, O. Shelke, Z. Yijie, C. Yulan, & L. Yongbo. (2025). Q1 and Q2 selection, Q3, IVRT, IVPT, pharmacokinetic and pharmacodynamic evaluation of topical generic product. Drug Development and Industrial Pharmacy, 51(6), 555–565.

J. Feng, O. S. Shelke, Y. Chen, Z. Zhang, X. Tang, & Y. Zhu. (2025). IVRT and IVPT of desonide lotion and cream: Correlation with human bioequivalence study. Journal of Pharmaceutical Innovation, 20(5), 196.

S. Krishna Phani Chandra, S. Om Sambhaji, & N. Shorgar. (2025). Quantification of leniolisib in rat plasma using LC-MS/MS: Method development, validation, and pharmacokinetic study. African Journal of Biological Sciences, 7(7), 121–142.

S. Om. (2025). Editorial article: The transformative impact of AI in pharmaceutical drug product development. Insights of Pharmatech, 1(2), 1.

S. Gadge, O. S. Shelke, R. Pingale, P. Palande, S. Tandale, P. Sonawane, … (2025). Development and evaluation of a polyherbal neem-based emulgel enriched with herbal oils for enhanced topical delivery and antibacterial efficacy. Journal of Chemical Health Risks, 15(3), 2189–2209.

Fatih UCUN | Regression and Correlation Analysis | Best Researcher Award

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Prof. Dr. Fatih UCUN | Regression and Correlation Analysis | Best Researcher Award

Suleyman Demirel University | Turkey

Prof. Dr. Fatih Ucun is a distinguished physicist specializing in atomic and molecular physics, with expertise in electron paramagnetic resonance (EPR), nuclear magnetic resonance (NMR), and infrared (IR) spectroscopy. He completed his B.Sc. and M.Sc. in Physics at Atatürk University and earned his Ph.D. from Ondokuz Mayıs University. He is a full professor in the Department of Physics at Suleyman Demirel University in Isparta, Turkey. Prof. Ucun has made significant contributions to computational chemistry, molecular modeling, and quantum mechanics, bridging theoretical insights with practical applications in material science and nanotechnology through pioneering studies on molecular electronic structures and quantum chemical simulations. He has authored 91 publications, cited 883 times, and holds an h-index of 16, reflecting his substantial impact in the field. In addition to his research, he has published four books and serves on editorial boards of scientific journals, demonstrating his leadership and influence in the academic community. His work has advanced the understanding of atomic-level interactions and energy transfer mechanisms, while mentoring future scientists and enriching scientific progress in physical chemistry and computational modeling.

Profiles: Scopus | Google Scholar 

Featured Publications

Ucun, F., Isik, Y. E., & Tiryaki, O. (2025). An approach to description of isotropic hyperfine interaction constants in the fluorinated nitrobenzene and nitrophenol radical anions: DFT calculations vs. experiment. Russian Journal of Physical Chemistry A, 99, 2498–2505.

Yolburun, H., & Ucun, F. (2023). EPR analysis of dinitrobenzoic acid anion radicals. International Journal of Computational and Experimental Science and Technology.

Ucun, F. (2023). EPR analysis of dinitrobenzoic acid anion radicals. International Journal of Computational and Experimental Science and Technology.

Ucun, F., & Alakuş, N. (2022). Enthalpies and activation energies of several gas reactions by intrinsic reaction coordinate (IRC) calculations. El-Cezeri, 9(2), 576–583.

Ucun, F., & Küçük, S. (2022). Triafulvalen, pentafulvalen ve heptafulvalenin katyon ve anyon radikallerinin EPR aşırı ince-yapı yapıları: Bir teorik çalışma. Süleyman Demirel University Faculty of Arts and Science Journal of Science.

Xhavit Islami | Econometrics and Statistical Economics | Best Researcher Award

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Assist Prof. Dr. Xhavit Islami | Econometrics and Statistical Economics | Best Researcher Award

AAB College | Albania

Assist Prof. Dr. Xhavit Islami is a leading academic in Management and Strategic Management at the Faculty of Economics, AAB College, Republic of Kosovo. He earned his PhD in Organizational Sciences and Management from the University of “Ss. Cyril and Methodius” in North Macedonia and has since built a strong record of research and scholarly contributions. Professor Islami has completed 35 research projects and is currently engaged in five ongoing projects, demonstrating his active involvement in advancing knowledge in management, strategic decision-making, human resource management, and supply chain management. He has published 16 articles in high-impact, Scopus-indexed journals and authored two books, reflecting his commitment to rigorous scholarship. His research work has earned him a Scopus h-index of 4 with 122 citations, highlighting the influence of his publications within the international academic community. He has also participated in five consultancy and industry-sponsored projects, bridging the gap between theory and practice. Professor Islami has collaborated on significant initiatives, including the “EDU-LAB Horizon” Project (2025–2027), and serves on the Scientific Committee of AAB College. His studies focus on innovative strategies, organizational performance, and the integration of artificial intelligence in management practices, providing practical insights for businesses and policymakers. Through his research, he has contributed to the understanding of competitive advantage, sustainable growth, and organizational effectiveness. Professor Islami maintains active professional profiles on Scopus, ORCID, ResearchGate, SSRN, and Academia.edu, ensuring his work is accessible and widely recognized. His scholarly achievements, combined with his ongoing research and industry collaborations, position him as a prominent figure in management and strategic studies, making him a highly deserving candidate for the Best Researcher Award.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

“When and How Does Innovation Augment the Effect of HRM on SME Performance?”

“Artificial intelligence and value-based strategy: a literature review and future research directions”

“Lean manufacturing and firms’ financial performance: the role of strategic supplier partnership and information sharing”

“Does competitive strategy moderate the linkage between HRM practices and company performance”

“The Role of Internal Human Resource Orchestration on Firm Performance”