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

Jiuping Xu | Petroleum Engineering | Best Researcher Award

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Prof. Jiuping Xu | Petroleum Engineering | Best Researcher Award

Sichuan University, Business School | China

Prof. Jiuping Xu of Sichuan University is a distinguished scholar whose research spans applied mathematics, system science and complex-systems engineering, with a focus on decision and technology innovation for large-scale energy, environment, water-resource, circular economy and health-management systems. Educated with a PhD in applied mathematics from Tsinghua University under Prof. Shutie Xiao and a second PhD in physical chemistry from Sichuan University under Prof. Jiuli Luo, he has built a career at the interface of mathematics and engineering practice. He formulated the “TS-MG-AC” (Theory Spectrum Model Group Algorithm Cluster) paradigm for multivariate-multilevel systems, and developed multilevel dynamic equilibrium approaches in areas such as water allocation, circular economy systems and hydropower project management. His applied work has delivered significant societal and economic impact (for example in post-earthquake ecosystem reconstruction, irrigation-district water allocation and large hydropower construction). With an h-index of approximately 62 and over 14,979 citations, his publication output and influence are substantial. He has held leadership roles in major engineering-science teams and has contributed to policy formulation in China for resource, seismic-ecosystem and environmental systems. His research interests include fuzzy logic, multi-criteria decision making, large-scale system optimisation, circular economy modelling and low-carbon infrastructure innovation. In conclusion, Professor Xu is a prolific and impactful systems-engineer-scientist whose theoretical and applied contributions bridge mathematics, optimisation, engineering and environmental-economics to address pressing global challenges.

Profile : Scopus

Featured Publications

Xu, J., et al. (2025). Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach. Scientific Reports.

Xu, J., et al. (2025). Parental expectation and psychological distress of Chinese youth: The chain mediating effects of core self-worth and perceived stress. BMC Public Health.

Xu, J., et al. (2025). A co-gasification strategy of residual municipal solid waste and biomass for electricity generation optimization and carbon reduction. Energy.

Xu, J., et al. (2025). Predict-then-optimise based day-ahead scheduling towards demand response and hybrid renewable generation for wastewater treatment. Applied Energy.

Xu, J., et al. (2025). Industrial prosumption-based energy transition technologies investigation for wastewater sector. Renewable and Sustainable Energy Reviews.

Roque Ribeiro Da Silva Júnior | Biology and Life Sciences | Best Researcher Award

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Dr. Roque Ribeiro Da Silva Júnior | Biology and Life Sciences | Best Researcher Award

Universidade Do Estado Do Rio Grande Do Norte | Brazil

Dr. Roque Ribeiro da Silva Júnior is a physiotherapist-researcher whose academic journey has progressed from a bachelor’s degree in Physiotherapy to a master’s in Health and Society at the Universidade do Estado do Rio Grande do Norte (UERN), and currently a doctoral candidate in Physiological Sciences at the same institution. With specialisations in Human Physiology (UECE) and Traumatology-Orthopaedic Physiotherapy (FAVENI), he brings strong methodological rigour to his work. He has taught courses in human anatomy, physiology of exercise, gerontology and trauma-orthopaedics, and served as preceptor and professor in undergraduate and technical programmes. He has co-authored systematic reviews and meta-analyses addressing high-fat diet and exercise impacts on BDNF, and cashew nut oxidative stress in animal models, demonstrating interdisciplinary reach. His clinical practice as a registered professional reinforces his commitment to evidence-based physiotherapy. Recognised for his academic engagement and strong teaching-practice linkage, his contributions span publications, book chapters and supervision of TCC (final course studies). In conclusion, Dr. Da Silva Júnior exemplifies the clinician-scientist model, advancing both pedagogy and research to foster improved health outcomes.

Profile : Orcid

Featured Publications

Figueirôa, L. V. A., Teófilo, T. da S., Batista, J. S., Ramos, A. C. M. O., Lemos, G. C. de, Gomes Junior, S. V., Lima, G. B. S., Feitosa, J. L., Silva, A. B. da, & Souza, L. N. de. (2025). Neurotoxic effects of bisphenol (BPA): Mini-reviews. Toxics, 13(10), 888.

Rodrigues, P. S., Lima, M. V. C. de, Silva Júnior, R. R. da, Costa, A. V. da, & Cardoso, G. A. (2025). Tecendo conexões: Explorando as interfaces entre autismo, hábitos alimentares, composição corporal e atividade física na jornada da saúde. Revista Sustinere.

Gomes, F. T. da S., Andrade, A. V. D., Melo, P. K. M., Silva Júnior, R. R. da, Souza, D. L. S. de, Tavares, É. A. F., Sena, I. G. de, Fernandes, T. A. A. de M., Morais, P. L. A. G., Fonseca, I. A. T., et al. (2025). The effects of the association between a high-fat diet and physical exercise on BDNF expression in the hippocampus: A comprehensive review. Life, 15(6), 945.

Silva Júnior, R. R. da, Rodrigues, V. I. O., Carvalho, C. F. M. de, Moura, M. M. B., Feitosa, D. D. M., Lima, E. K. F., Andrade, A. M., Arrais, J. F. de A., Souza, L. N. de, Knackfuss, M. I., et al. (2025). Unveiling the impacts of cashew nuts on oxidative stress in rats: A systematic review. Antioxidants, 14(4), 441.

Costa, M. V. dos S., Raulino, L. T. da S., Silva Júnior, R. R. da, & Fernandes, T. A. A. de M. (2024). Association of text neck with the appearance of neck pain: Systematic review. Coluna/Columna.

Luciana Veras de Aquino Figueirôa | Neuroscience | Best Researcher Award

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Dr. Luciana Veras de Aquino Figueirôa | Neuroscience | Best Researcher Award

State University of Rio Grande do Norte | Brazil

Luciana Véras de Aquino Figueirôa is a Brazilian veterinary researcher and CNPq doctoral fellow whose academic journey reflects excellence in animal pathology and veterinary sciences. She holds a degree in Veterinary Medicine, a specialization in Small Animal Clinical Medicine and Surgery, a Master’s in Animal Production, and is pursuing a Ph.D. in Animal Science at the Federal Rural University of the Semi-Arid (UFERSA). Her doctoral research investigates the neurotoxic effects of Bisphenol A on prefrontal cortex and hippocampal cells in rats, contributing to advancements in neurotoxicology and animal health. food safety, and animal health management. Her professional experience includes teaching pathology, conducting research on aquatic organism diseases, and promoting food quality and safety through inspection and training programs. Recognized for her commitment to veterinary pathology and scientific education, she continues to expand knowledge in neurotoxic effects and animal health monitoring. Her career embodies dedication to animal welfare, sustainable food safety, and veterinary innovation.

Profile : Orcid

Featured Publications

Figueirôa, L. V. de A., Teófilo, T. S., Batista, J. S., Feijó, F. M. C., & Ximenes Lima, J. T. A. (2024). Clinical and histopathological evidence of Hepatobacter penaei in Litopenaeus vannamei culture with high mortality. Archives of Veterinary Science, 29(3), e95315.

Campêlo, M. C. da S., Medeiros, J. M. S. de, Rebouças, L. de O. S., Figueirôa, L. V. A., Oliveira, P. V. C. de, Lima, P. de O., & Silva, J. B. A. da. (2020). Shelf life and consumer preference for sun dried meat produced with different levels of sodium chloride. Research, Society and Development, 9(10), e8297.

Figueirôa, L. V. A., Ximenes de Lima, J. T. A., & Feijó, F. M. C. (2013). Bacterioses em viveiros de camarão marinho em Mossoró-RN. Revista Brasileira de Medicina Veterinária, 35(2), 145–152.

Figueirôa, L. V. A., Batista, J. S., & Guzen, F. P. (2025). Análise do efeito do bisfenol A em células do córtex pré-frontal e do hipocampo cultivadas do rato. Journal of Veterinary Pathology and Animal Health Research, 12(1), 25–34.

Figueirôa, L. V. A. (2013). Anestesia em cães e gatos diabéticos: Uma revisão. Equalis Veterinary Journal, 8(3), 60–68.

Jingjing Jiang | Robotics and Automation | Best Researcher Award

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Dr. Jingjing Jiang | Robotics and Automation | Best Researcher Award

Loughborough University | United Kingdom

Dr Jingjing Jiang is a distinguished researcher in intelligent mobility and autonomous systems, currently a Senior Lecturer in Intelligent Mobility and Autonomous Vehicles at the Department of Aeronautical and Automotive Engineering, Loughborough University. She holds a BE in Electronic and Electrical Engineering an MSc in Control Engineering , and a PhD in Control Engineering (Imperial College London,  thesis: Shared Control for Systems with Constraints). After her doctoral work she served as a Research Associate in the Department of Electrical and Electronic Engineering at Imperial College London before joining Loughborough University as Lecturer in 2018 and being promoted to Senior Lecturer. Her research interest spans trustworthy control design and rigorous closed-loop performance analysis for intelligent systems and autonomous vehicles, combining classical control theory with modern data-driven models and algorithms, and emphasising both trial-based validation and top-down safety and reliability guarantees. Her work has been recognised for bridging fundamental research and real-world application in mobility systems. She continues to drive innovation in autonomous mobility and system safety, contributing to the future of reliable intelligent transport.

Profiles : Google Scholar | Orcid

Featured Publications

Cao, S., Sun, L., Jiang, J., & Zuo, Z. (2021). Reinforcement learning-based fixed-time trajectory tracking control for uncertain robotic manipulators with input saturation. IEEE Transactions on Neural Networks and Learning Systems, 34(8), 4584–4595.

Jiang, J., & Astolfi, A. (2018). Lateral control of an autonomous vehicle. IEEE Transactions on Intelligent Vehicles, 3(2), 228–237.

Fu, H., Jiang, J., Hu, S., Rao, J., & Theodossiades, S. (2023). A multi-stable ultra-low frequency energy harvester using a nonlinear pendulum and piezoelectric transduction for self-powered sensing. Mechanical Systems and Signal Processing, 189, 110034.

Jiang, J., & Astolfi, A. (2020). Stabilization of a class of underactuated nonlinear systems via underactuated back-stepping. IEEE Transactions on Automatic Control, 66(11), 5429–5435.

Hu, J., Lin, Y., Li, J., Hou, Z., Chu, L., Zhao, D., Zhou, Q., Jiang, J., & Zhang, Y. (2024). Performance analysis of AI-based energy management in electric vehicles: A case study on classic reinforcement learning. Energy Conversion and Management, 300, 117964.

Gurmeet Kaur | Chemistry and Materials Science | Best Researcher Award

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Dr. Gurmeet Kaur | Chemistry and Materials Science | Best Researcher Award

Punjabi University | India

Dr. Gurmeet Kaur is a distinguished researcher and faculty member in the Department of Chemistry at Punjabi University, Patiala, specializing in organic synthesis and heterocyclic chemistry. With an impressive research portfolio, she has authored more than 65 publications, accumulating over 541 citations and maintaining an h-index of 14, reflecting her impactful contributions to chemical sciences. Dr. Kaur obtained her doctoral degree in Organic Chemistry and has since engaged in extensive postdoctoral and academic work focused on developing environmentally benign synthetic methodologies, coordination complexes, and bioactive compounds. Her research integrates green chemistry principles and advanced analytical techniques to explore molecular design for pharmaceutical and material applications. Throughout her career, she has mentored numerous postgraduate and doctoral students while collaborating with interdisciplinary teams on national and international projects. Her scholarly excellence has been recognized through several academic awards and research grants, acknowledging her innovation and dedication to sustainable chemistry. Dr. Gurmeet Kaur continues to advance the field through her publications, conferences, and contributions to chemical education, promoting scientific curiosity and sustainable research for future generations.

Profile : Scopus

Featured Publications

Kaur, G., & Goyal, B. (2025). Ligand-based virtual screening to discover potential inhibitors of SARS-CoV-2 main protease. Physical Chemistry Chemical Physics, 27, 19877–19897.

Garg, M., Sharma, D., Kaur, G., & others. (2024). Factor defining the effects of tetraalkylammonium chloride on stability, folding, and dynamics of horse cytochrome c. International Journal of Biological Macromolecules, 276.

Kaur, M., Rehman, H. M., Wu, Y., Kaur, G., Hammad, H. M., Usmani, Y. S., Kaur, A., & Bansal, M. (2025). Comprehensive analysis and outcomes of hybridization of physiologically active heterocycles targeting epidermal growth factor receptor (EGFR). Computers in Biology and Medicine, 184, 109347.

Kaur, G. (2025). Investigating the chemistry of newly synthesized acetamide linker based purines/pyrimidine derivatives towards DNA receptor site using in silico and in vitro studies. Journal of Biomolecular Structure & Dynamics.

Garg, M., Sharma, D., Kaur, G., & others. (2024). Factor defining the effects of tetraalkylammonium chloride on stability, folding, and dynamics of horse cytochrome c. International Journal of Biological Macromolecules, 276,

 

Wei Zhang | Electrical Engineering | Best Researcher Award

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Mr. Wei Zhang | Electrical Engineering | Best Researcher Award

Suzhou vocational University | China

Dr. Wei Zhang, a dedicated educator and researcher in power electronics at Suzhou Vocational University, holds a degree in Control Theory and Control Engineering from Suzhou University. He has established himself in the field of high-frequency isolated AC/AC conversion. His current research focuses on eliminating bulky DC intermediate energy storage and implementing soft-switching control strategies to reduce device switching losses, thereby improving converter efficiency and system reliability. He has published in respected journals such as the International Journal of Electronics and engages actively with industry through power-industry consultancy projects. As a teacher, he not only advances the academic frontier but also mentors students in hands-on converter design and simulation. His work has led to validated simulation and experimental results, demonstrating both theoretical correctness and practical feasibility. Looking ahead, Dr. Zhang aims to further transform power‐electronics architectures toward more compact, efficient, and digitally controlled systems, contributing to sustainable energy conversion and smarter power infrastructure.

Profiles : Orcid

Featured Publications

Zhang, W. (2025). A new structure for a high-frequency isolated AC/AC converter. International Journal of Electronics.