Tao Zhong | Machine Learning and Statistics | Best Researcher Award

Published on by Statistics

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.

Fazal Haq | Mathematical Statistics | Best Researcher Award

Published on by Statistics

Dr. Fazal Haq | Mathematical Statistics | Best Researcher Award

Dr. Fazal Haq | Karakoram International University | Pakistan

Dr. Fazal Haq is a highly accomplished academician and researcher, serving as a permanent faculty member in the Department of Mathematical Sciences at Karakoram International University (KIU), Gilgit-Baltistan, Pakistan. He earned his M.Sc. and Ph.D. in Applied Mathematics from KIU, and an M.Phil. from Sindh University, Jamshoro, consistently demonstrating exceptional academic performance, including securing the first position in his M.Sc. examinations and receiving both a Gold Medal and an Academic Excellence Award from KIU. Dr. Haq’s research spans a wide range of topics, including fluid mechanics, non-Newtonian fluids, magnetohydrodynamics, entropy generation, bioconvection, and nanofluid dynamics, with a particular focus on mathematical modeling, theoretical analysis, and computational simulations of complex fluid flows. Over the years, he has published more than 51 high-impact, peer-reviewed articles in internationally recognized journals, contributing significantly to advancing applied and computational mathematics. His work has garnered considerable attention from the scientific community, reflected in his h-index of 13 and a 616 of citations, underscoring the relevance and influence of his research. Dr. Haq is also a dedicated educator and mentor, inspiring students through his innovative teaching methods and fostering a research-oriented environment. His sustained commitment to scientific excellence and knowledge dissemination continues to make a meaningful impact both nationally and internationally.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Haq, F., Saleem, M., & Rahman, M. U. (2025). Optimization of entropy in bioconvective and reactive micropolar nanofluid flow with Arrhenius kinetics. CFD Simulation.

Saleem, M., Haq, F., Ghazwani, H. A., Ghazwani, M. H., & Alnujaie, A. (2025). Mathematical modeling and theoretical investigation of entropy generation in bioconvective micropolar hybrid nanofluid flow with activation energy and Lorentz force. ZAMM – Journal of Applied Mathematics and Mechanics, 105(10).

Khouqeer, G. A., Haq, F., Rahman, M. U., & Sallah, M. (2025). An investigation of thermo-bioconvective ternary hybrid nanofluid flow over rotating disk subject to activation energy. Journal of Thermal Analysis and Calorimetry.

Haq, F., Saleem, M., Ghazwani, H. A., Ghazwani, M. H., & Alnujaie, A. (2025). Dynamics of radiated and stratified natural bioconvective flow of cross hybrid nanomaterial with Darcy–Forchheimer and Lorentz force. ZAMM – Journal of Applied Mathematics and Mechanics, 105(9).

Saleem, M., Khouqeer, G. A., Haq, F., AbdelAll, N., Hussain, A., & Sallah, M. (2025). Implications of thermal stratification and radiative heat flux in blood-based ternary and dihybrid nanomaterial flow through a stretchable cylinder. Case Studies in Thermal Engineering, 42,