Iheanyichukwu Ajoku | Advanced Materials Engineering | Best Researcher Award

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Mr. Iheanyichukwu Ajoku | Advanced Materials Engineering | Best Researcher Award

Missouri University of Science and Technology | United States

Iheanyichukwu C. Ajoku, P.E., is a distinguished metallurgical engineer and doctoral student in Materials Science and Engineering (Ceramic Engineering) at Missouri University of Science and Technology, United States. His research focuses on sustainable materials for nuclear waste management, MXene synthesis, energy storage, metallurgy, and biomaterials processing. Ajoku holds a B.Sc. in Metallurgical and Materials Engineering from the University of Lagos, Nigeria, and possesses a Certified Management Specialist credential from the London Graduate School. He is a licensed Senior Engineer with COREN and a Fellow of ISDS, IMC-Nigeria, and IOASD. His academic and research contributions include publications in prestigious journals such as the American Chemical Society and Journal of Radioanalytical and Nuclear Chemistry, with 3 citations and an h-index of 1. Professionally, he has served as a Risk Engineer and Graduate Research Assistant in both Nigeria and the U.S., participating in projects supported by the U.S. Department of Energy and NSF. Recognized for excellence, he has received multiple honors, including the Graduate Council Outstanding Service Award and Fellowship distinctions. His work contributes to advancing sustainable nuclear waste immobilization and fostering global STEM outreach through the Ceramic and Glass Industry Foundation.

Profile : Google Scholar 

Featured Publications

Evarts, J. S., Riley, B. J., Lonergan, C. E., Harris, M. S., Bai, J., Bohannan, E., Ajoku, I., & others. (2025). Synergy in materials: Leveraging phosphosilicate waste forms for electrochemical salt waste. ACS Sustainable Resource Management, 2(3), 514–523.

Ajoku, I., & Ani, P. C. (2025). Phosphate-based vitrification strategies for electrorefiner salt waste management. Journal of Radioanalytical and Nuclear Chemistry, 1–14.

Baba, A. A., Balogun, A. F., Tripathy, B. C., Okeola, F. O., Owolabi, A. O., Olaoluwa, D. T., Jacob, S. O., & Ajoku, I. (2025). Preparation of an indigenous bismutite ore for improved bismuth-based alloys production. In TMS 2026 Conference Proceedings.

B M Golam Kibria | Statistics | Best Paper Award

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Dr. B M Golam Kibria | Statistics | Best Paper Award

Florida International University | United States

Dr. B. M. Golam Kibria earned his Ph.D. in Statistics from The University of Western Ontario (Canada) after completing MSc degrees in Statistics from Carleton University (Canada) and Jahangirnagar University (Bangladesh). He is currently Professor in the Department of Mathematics & Statistics at Florida International University (USA). His research spans applied and computational statistics, biostatistics, environmental statistics, distribution theory, pre-test and shrinkage estimation, ridge regression, predictive inference and simulation studiesThrough his work on shrinkage and ridge methods and predictive inference, he has contributed significantly to statistical methodology and its applications in environmental and health science contexts. In conclusion, Professor Kibria combines strong theoretical foundations with applied impact, making him a distinguished statistician in his field.

Profiles : Google Scholar | Orcid

Featured Publications

Kibria, B. M. G. (2003). Performance of some new ridge regression estimators. Communications in Statistics – Simulation and Computation, 32(2), 419–435.

Muniz, G., & Kibria, B. M. G. (2009). On some ridge regression estimators: An empirical comparison. Communications in Statistics – Simulation and Computation, 38(3), 621–630.

Saleh, A. K. M. E., Arashi, M., & Kibria, B. M. G. (2019). Theory of ridge regression estimation with applications. John Wiley & Sons.

Kibria, B. M. G., & Lukman, A. F. (2020). A new ridge-type estimator for the linear regression model: Simulations and applications. Scientifica, 2020(1), Article 9758378.

Ahsanullah, M., Kibria, B. M. G., & Shakil, M. (2017). Normal and Student’s t distributions and their applications. Atlantis Press.

Farid Barati | Agricultural Science and Innovation | Best Researcher Award

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Assoc. Prof. Dr. Farid Barati | Agricultural Science and Innovation | Best Researcher Award

Shahrekord University | Iran

Dr. Farid Barati (D.V.M, DVSc) is a distinguished Associate Professor in the Department of Clinical Science at Shahrekord University, Iran, specializing in Theriogenology and reproductive physiology. He earned his Doctor of Veterinary Medicine (D.V.M) and Doctor of Veterinary Science (DVSc) degrees, advancing his expertise in reproductive health, artificial insemination, and embryology. Over the years, he has served as a faculty member and research supervisor, contributing to numerous national and international projects. His research primarily focuses on reproductive endocrinology, assisted reproductive technologies, ovarian function, and the improvement of livestock fertility. Recognized for his scholarly excellence, Dr. Barati has received various institutional awards and honors for his research contributions and mentorship. His publications in reputed journals demonstrate his commitment to advancing veterinary reproductive medicine and animal health. Through his academic leadership and innovative studies, Dr. Barati continues to inspire future veterinarians and researchers, fostering scientific growth and sustainable livestock development worldwide.

Profile : Google Scholar

Featured Publications

Rasooli, A., Jalali, M. T., Nouri, M., Mohammadian, B., & Barati, F. (2010). Effects of chronic heat stress on testicular structures, serum testosterone and cortisol concentrations in developing lambs. Animal Reproduction Science, 117(1–2), 55–59.

Barati, F., Niasari-Naslaji, A., Bolourchi, M., Sarhaddi, F., Razavi, K., Naghzali, E., & Davachi, N. D. (2006). Superovulatory response of Sistani cattle to three different doses of FSH during winter and summer. Theriogenology, 66(5), 1149–1155.

Abbasi, Z., Tabatabaei, S. R. F., Mazaheri, Y., Barati, F., & Morovvati, H. (2013). Effects of sesame oil on the reproductive parameters of diabetes mellitus-induced male rats. The World Journal of Men’s Health, 31(2), 141–147.

Barati, F., Agung, B., Wongsrikeao, P., Taniguchi, M., Nagai, T., & Otoi, T. (2008). Meiotic competence and DNA damage of porcine oocytes exposed to an elevated temperature. Theriogenology, 69(6), 767–772.

Zakian, A., Nouri, M., Barati, F., Kahroba, H., Jolodar, A., & Rashidi, F. (2014). Vertical transmission of Theileria lestoquardi in sheep. Veterinary Parasitology, 203(3–4), 322–325.

Ahmad Abdi | Medicine and Health Sciences | Best Researcher Award

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Assoc. Prof. Dr. Ahmad Abdi | Medicine and Health Sciences | Best Researcher Award

Department of Exercise Physiology, Am.C., Islamic Azad University, Amol | Iran

Dr. Ahmad Abdi is an Associate Professor in Sport Physiology at Islamic Azad University, Ayatollah Amoli Branch, With a BSc and MSc in Physical Education and Sports Science from Shahid Beheshti University and Central Tehran Branch respectively, and a PhD in Sport Physiology from the Science and Research Branch of Tehran, he brings deep academic grounding. He has taught human anatomy, sports nutrition, physiology and coaching across multiple Azad University campuses, while also serving in leadership roles such as Head of the Faculty of Physical Education. His research interest spans exercise intervention, nutritional supplements, molecular-cellular adaptations to training, and the use of medicinal plant extracts in metabolic disorders and cardiovascular health. He has published books on exercise, diet and atherosclerosis, and on plyometric training to improve athletic performance. His active roles as conference organizer, reviewer and committee chair underscore his commitment to academic service. In conclusion, his combined expertise in applied sport science, molecular physiology and educational leadership positions him as a seasoned contributor to the fields of exercise physiology and metabolic health research.

Profile : Google Scholar

Featured Publications

Abdi, A., Farzanegi, P., Abaszade, H., & Habibi, M. (2018). Effect of 8 weeks aerobic training with cinnamon extract on retinol binding protein 4 (RBP4) and insulin resistance in rats fed with high-fructose. Journal of Neyshabur University of Medical Sciences, 5(4), 52–61.

Fani, F., Abbassi Daloii, A., & Abdi, A. (2016). The effect of 8 weeks of endurance training and L-NAME on Apelin in adipose tissue in elderly male rats. Journal of Practical Studies of Biosciences in Sport, 4(8), 77–88.

Siddiqui, A., Abdi, A., & Azarbayjani, A. M. (2019). The effect of aerobic exercise on some indicators of cardiac tissue apoptosis in male rats. Feyz Scientific Research Journal: Kashan University of Medical Sciences, 23(5).

Abdi, A., Mehrabani, J., Nordvall, M., Wong, A., Fallah, A., & Bagheri, R. (2022). Effects of concurrent training on irisin and fibronectin type-III domain containing 5 (FNDC5) expression in visceral adipose tissue in type-2 diabetic rats. Archives of Physiology and Biochemistry, 128(3), 651–656.

Azarbayjani, M. A., Fathi, R., Daloii, A. A., Abdi, A., & Fatolahi, H. (n.d.). Acute hematological profile response to one session of aerobic and anaerobic exercise among young male kickboxers. Turkish Journal of Physical Medicine & Rehabilitation / Turkiye Fiziksel Tip ve Rehabilitasyon Dergisi.

Phiman Thirarattanasunthon | Medicine and Health Sciences | Best Researcher Award

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Assist. Prof. Dr. Phiman Thirarattanasunthon | Medicine and Health Sciences | Best Researcher Award

School of Public Health, Walailak University | Thailand

Dr Phiman Thirarattanasunthon is an Assistant Professor of Public Health at Walailak University (School of Public Health), Thailand, whose education spans a PhD in Public Health from Chulalongkorn University and an MPH in Environmental & Occupational Health from Prince of Songkla University , complemented by a BPH from Mahidol University and a BSc in Environmental Science from Nakhon Ratchasima Rajabhat University. His professional trajectory includes roles from community health officer through district health service and hospital public-health functions, to academic lecturer , Assistant Professor and Head of the Community Public Health Program . His research expertise covers health-system management, health impact assessment, disaster and emergency risk management in public health, and community health assessment and promotion. Recently, Dr Thirarattanasunthon has published peer-reviewed studies on pesticide exposure among farmers, alcohol consumption behaviours among students, and COVID-19 patient experiences. His work has earned him awards including the School of Public Health Excellent Teaching Award (2024) and Outstanding Research Award (2024). With an emerging h-index (data unavailable) and a growing citations record, he remains committed to advancing public health science and education through community-engaged, impact-oriented research.

Profile : Google Scholar

Featured Publications

Thirarattanasunthon, P., Siriwong, W., Robson, M., & Borjan, M. (2012). Health risk reduction behaviors model for scavengers exposed to solid waste in municipal dump sites in Nakhon Ratchasima Province, Thailand. Risk Management and Healthcare Policy, 5, 97–104.

Buakate, P., Thirarattanasunthon, P., & Wongrith, P. (2022). Factors influencing alcohol consumption among university students in Southern Thailand. Roczniki Państwowego Zakładu Higieny, 73(4), 435–443.

Sapbamrer, R., Sittitoon, N., Thongtip, S., Chaipin, E., Sutalangka, C., Chaiut, W., & Thirarattanasunthon, P., et al. (2024). Acute health symptoms related to perception and practice of pesticide use among farmers from all regions of Thailand. Frontiers in Public Health, 11, Article 1296082.

Sapbamrer, R., Sittitoon, N., Thongtip, S., Chaipin, E., Sutalangka, C., La-Up, A., & Thirarattanasunthon, P., et al. (2024). Socio-demographic, agricultural, and personal protective factors in relation to health literacy among farmers from all regions of Thailand. Frontiers in Public Health, 12, Article 1364296.

Kotepui, K. U., Thirarattanasunthon, P., Rattaprasert, P., & Kotepui, M. (2022). A systematic review and meta-analysis of blood interleukin-4 levels concerning malaria infection and severity. Malaria Journal, 21(1), 217.

Fangfei Li | Social Sciences | Best Researcher Award

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Ms. Fangfei Li | Social Sciences | Best Researcher Award

Huazhong University of Science and Technology | China

Li Fangfei is an outstanding early-career researcher whose academic journey began with a Bachelor’s degree in English at Huazhong Agricultural University, graduating top of her class and continues with her current postgraduate studies in Applied English at Huazhong University of Science & Technology where she maintains a GPA of 3.99/4.0. Her research interest lies in university English teaching, especially blended and SPOC models grounded in the TAM and TTF frameworks, with a recent work on “Academic English learning motivation and investment” (SSCI Q2) underway . She has engaged in program leadership and community service acting as second-in-charge of the Hubei Provincial University Student Innovation & Entrepreneurship Training Project , leading the “Colourful Holiday, Brilliant Life” summer social practice project  with a resulting report awarded “Outstanding Research Report” and being named “Advanced Individual in Social Practice”, and serving as an outstanding winter-holiday volunteer in Hongshan District, Wuhan and as a volunteer at HUST University Hospital . She has achieved strong language credentials (CET-4 642, CET-6 631, TEM-4/8 excellent, CATTI II/III translation certified, National English Talent intermediate good, intercultural competence intermediate). With an h-index of [h-index], [documents] published documents and [citations] citations, she demonstrates both productivity and impact in her emerging field. Moving forward, she is committed to advancing evidence-based innovations in tertiary English pedagogy and contributing to global knowledge exchange.

Profile : Orcid

Featured Publications

Li, F. (2025, August). Academic English learning motivation and learning investment research. Journal Name, Volume(Issue), page–page.

Xiaoqian Liu | Social Sciences | Best Researcher Award

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Ms. Xiaoqian Liu | Social Sciences | Best Researcher Award

Xinjiang University | China

Dr. Xiaoqian Liu is a dedicated researcher at Xinjiang University specializing in sustainable urban transportation systems, traffic optimization, and smart mobility solutions. Her academic contributions focus on integrating operational efficiency with passenger-oriented design to enhance the functionality of public transport and parking systems. She has authored two publications indexed in Scopus, with an h-index of 1 and 2 citations. Her study, Integrated Optimization of Feeder Bus Timetables and Vehicle Scheduling Considering Passenger Heterogeneity: Implications for Sustainable Urban Transit and Land Use Efficiency (Applied Sciences), explores optimizing feeder bus operations through advanced scheduling models that account for passenger diversity and land-use interaction. she co-authored Analysis of Preparation Mechanism of Electrospun Nanofiber Yarns in the Wool Textile Journal, showcasing her interdisciplinary approach bridging material science and industrial process optimization. Dr. Liu’s research highlights data-driven modeling, multi-objective optimization, and sustainable infrastructure development within the broader scope of social and environmental systems. Through her publications and collaborative efforts, she contributes to advancing smart city transport planning, efficient bus-network scheduling, and environmentally responsible mobility frameworks, reflecting a commitment to innovation and applied research excellence in the social sciences and engineering interface.

Profile : Scopus

Featured Publications

Liu, X. (2025). Integrated optimization of feeder bus timetables and vehicle scheduling considering passenger heterogeneity: Implications for sustainable urban transit and land use efficiency. Applied Sciences, 15(19), 10715.

Emmanuel Antwi | Engineering and Technology | Best Researcher Award

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Mr. Emmanuel Antwi | Engineering and Technology | Best Researcher Award

Missouri University of Science and Technology | United States

Dr. Emmanuel Atta Antwi is a Ph.D. candidate in Mining Engineering at the Missouri University of Science and Technology , having earned his BSc in Mining Engineering from the University of Mines and Technology in Tarkwa, Ghana, and a Certificate in Data Science & Machine Learning from the The AI Institute . With a strong foundation in mine planning, ventilation and production analysis, he has held roles as a Research Assistant, Strategic Mine Planning Engineer Intern and Mining Engineer Co-op in both surface and underground mining environments. His scholarly work includes peer-reviewed publications on topics such as underground mine communications under extreme dust conditions and stochastic modelling of electromagnetic wave propagation in mines. One recent article is titled “Stochastic Modeling of Electromagnetic Wave Propagation Through Extreme Dust Conditions in Underground Mines Using Vector Parabolic Approach” . His research interests include emergency self-escape systems, mine layout safety design, ventilation optimisation and production performance analytics. Recognised for mentoring new researchers and collaborating across disciplines, he aims to advance mining safety and cost-effective productivity through data-driven engineering solutions and cross-functional team leadership.

Profile : Orcid

Featured Publications

Antwi, E. A., Shafique, S., & Nima, Z. A. (2025). Stochastic modeling of electromagnetic wave propagation through extreme dust conditions in underground mines using vector parabolic approach. Information, 16(10), 891.

Olga Tarasova | Genetics and Genomics | Best Researcher Award

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Dr. Olga Tarasova | Genetics and Genomics | Best Researcher Award

Institute of Biomedical Chemistry, Russian Academy of Medical Sciences (RAMS) | Russia

Dr Olga A. Tarasova is a bioinformatician and computational chemist whose research bridges cheminformatics, machine-learning and virus–host interaction modelling. She gained her M.S. in Medical Cybernetics and PhD in Bioinformatics from the Institute of Biomedical Chemistry (Moscow, Russia). Since then, she has progressed through roles from junior researcher to senior researcher now leading advanced computational modelling studies of antiviral compounds and virus–host interplay (e.g., at the Laboratory of Structure-Based Drug Design and recently heading the Laboratory of Big Data Analysis in Digital Pharmacology at IBMC). Her research interests include (Q)SAR/QSPR modelling, fragment-based drug design, molecular docking, text/data mining and machine-learning for prediction of metabolic, toxicity and viral-resistance profiles. Among her honours: the First-Degree Prize for Best Investigation at the Young Scientists Forum of the Russian Academy of Sciences for her work on HIV–host interactions. Dr Tarasova combines rigorous methodological development with applied antiviral and host-interaction modelling, making her a strong contributor to computational drug-discovery and virology informatics.

Profile : Orcid

Featured Publications

Pozdniakova, N., Generalov, E., Shevelev, A., & Tarasova, O. (2025). RNA therapeutics: Delivery problems and solutions A review. Pharmaceutics, 17(10), 1305.

Ivanov, S. M., Sukhachev, V. S., Tarasova, O. A., Lagunin, A. A., & Poroikov, V. V. (2025). Analysis of genomic and transcriptomic data revealed key genes and processes in the development of major depressive disorder. International Journal of Molecular Sciences, 26(19), 9557.

Shevelev, A., Pozdniakova, N., Generalov, E., & Tarasova, O. (2025). siRNA therapeutics for the treatment of hereditary diseases and other conditions: A review. International Journal of Molecular Sciences, 26(17), 8651.

Tarasova, O., Petrou, A., Ivanov, S. M., Geronikaki, A., & Poroikov, V. (2024). Viral factors in modulation of host immune response: A route to novel antiviral agents and new therapeutic approaches. International Journal of Molecular Sciences, 25(17), 9408.

Stolbova, E. A., Stolbov, L. A., Filimonov, D. A., Poroikov, V. V., & Tarasova, O. A. (2024). Quantitative prediction of human immunodeficiency virus drug resistance. Viruses, 16(7), 1132.

Chih-Lyang Hwang | Electrical Engineering | Best Researcher Award

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Prof. Chih-Lyang Hwang | Electrical Engineering | Best Researcher Award

National Taiwan University of Science and Technology | Taiwan

Dr. Chih-Lyang Hwang (SM’08) is a distinguished researcher and academic in the field of electrical and mechanical engineering, currently serving as a Research Fellow at the Intelligent Robot Center, National Taiwan University of Science and Technology (NTUST), Taipei, Taiwan. He earned his Ph.D. in Mechanical Engineering from Tatung Institute of Technology  and subsequently held professorial positions at Tatung Institute of Technology, Tamkang University, and NTUST. With an extensive academic career spanning over three decades, he has contributed significantly to robotics, fuzzy neural modeling, nonlinear control, and human–robot interaction. His research also encompasses distributed visual and wireless localization, UAV control, and emotion recognition. Dr. Hwang has been a Visiting Scholar at Georgia Institute of Technology and Auburn University, broadening his international academic collaborations. He has authored numerous influential journal and conference papers, amassing over 3,383 citations, 533 documents, and an H-index of 29. Recognized among the world’s top 2% scientists by Stanford University for multiple years, he has also received Excellent and Outstanding Research Awards from NTUST and 2024. His enduring contributions continue to advance intelligent robotics and control systems research globally.

Profile : Google Scholar

Featured Publications

Hwang, C.-L., Yang, C.-C., & Hung, J.-Y. (2017). Path tracking of an autonomous ground vehicle with different payloads by hierarchical improved fuzzy dynamic sliding-mode control. IEEE Transactions on Fuzzy Systems, 26(2), 899–914.

Hwang, C.-L., Jan, C., & Chen, Y.-H. (2001). Piezomechanics using intelligent variable-structure control. IEEE Transactions on Industrial Electronics, 48(1), 47–59.

Hwang, C.-L., Chang, L.-J., & Yu, Y.-S. (2007). Network-based fuzzy decentralized sliding-mode control for car-like mobile robots. IEEE Transactions on Industrial Electronics, 54(1), 574–585.

Hwang, C.-L., Chiang, C.-C., & Yeh, Y.-W. (2013). Adaptive fuzzy hierarchical sliding-mode control for the trajectory tracking of uncertain underactuated nonlinear dynamic systems. IEEE Transactions on Fuzzy Systems, 22(2), 286–299.

Hwang, C.-L. (2004). A novel Takagi–Sugeno-based robust adaptive fuzzy sliding-mode controller. IEEE Transactions on Fuzzy Systems, 12(5), 676–687