Heilym Camila Ramirez Rico | Computer Vision | Young Scientist Award

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Prof. Dr. Heilym Camila Ramirez Rico | Computer Vision | Young Scientist Award

Federico Santa María Technical University | Chile

Prof. Dr. Heilym Camila Ramirez Rico is a researcher affiliated with Pontificia Universidad Católica de Valparaíso, Chile, whose work lies at the intersection of computer vision, human posture analysis, and intelligent transportation systems. Her research focuses on the application of vision-based sensing and data-driven methods to analyze human movement and behavior in real-world urban environments, with particular emphasis on public transportation safety and accessibility. She has authored 7 peer-reviewed publications, which have collectively received 208 citations, reflecting a strong scholarly impact relative to publication volume, with an h-index of 4. Her work demonstrates interdisciplinary collaboration, involving co-authors across engineering, applied sciences, and urban studies. Notably, her recent open-access study on passenger posture detection during bus boarding and alighting contributes to data-informed urban mobility planning. The societal relevance of her research is evident in its potential to improve public transport design, passenger safety, and inclusive urban infrastructure through applied computer vision solutions.

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Jay Kachhadia | Data Science | Data Science Award

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Mr. Jay Kachhadia | Data Science | Data Science Award

Syracuse University | United States

Mr. Jay Kachhadia is a data science professional whose research lies at the intersection of machine learning, natural language processing (NLP), and computational social science. His scholarly work focuses on applying advanced deep learning models—particularly transformer-based architectures such as BERT—to analyze and classify political and social media discourse. He has authored one peer-reviewed conference publication, PoliBERT: Classifying Political Social Media Messages with BERT (SBP-BRIMS 2020), which has received 33 citations, reflecting sustained academic relevance and impact within the field. With an h-index of 1 and an i10-index of 1, his work demonstrates focused contributions with measurable scholarly influence. The publication resulted from interdisciplinary collaboration with researchers in social and behavioral modeling, highlighting his ability to bridge data science with social science research. Beyond academia, his research has broader societal impact by enabling scalable, data-driven analysis of political communication, misinformation, and public opinion, contributing to more informed policy analysis and civic discourse at a global level.

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Guoping Zhou | Biophysics | Research Excellence Award

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Prof. Dr. Guoping Zhou | Biophysics | Research Excellence Award

Rocky Mount Life Sciences Institute | United States

Prof. Dr. Guoping Zhou is a Chief Scientist from Rocky Mount Life Sciences Institute, Rocky Mount, NC, USA with recognized expertise in molecular biology, medicinal chemistry, and structural biochemistry, particularly in polysialylation mechanisms, NMR spectroscopy, and structure-based inhibitor design. He has authored 56 peer-reviewed publications, accumulating 3,613 citations with an h-index of 27, reflecting sustained scientific impact and international visibility. His research has advanced the molecular understanding of neural cell adhesion molecule (NCAM) polysialylation, inhibition pathways, and biomolecular interactions, contributing to potential therapeutic strategies in cancer, neurobiology, and inflammatory diseases. Dr. Zhou has collaborated extensively, with over 86 co-authors, demonstrating strong interdisciplinary and international research engagement. His work, published in reputable journals such as International Journal of Molecular Sciences and Journal of Enzyme Inhibition and Medicinal Chemistry, supports translational applications in drug discovery and biomedical innovation, offering meaningful scientific and societal impact through improved molecular targets for disease intervention.

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Shiping Song | Materials Science | Research Excellence Award

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Prof. Shiping Song | Materials Science | Research Excellence Award

Henan University of Technology | China 

Prof. Shiping Song is an academic researcher at Henan University of Technology, Zhengzhou, China, with recognized expertise in materials science and chemical engineering, particularly in crystalline porous materials, perovskite-based composites, and functional materials for energy and environmental applications. His research focuses on the synthesis, structural design, and application of advanced porous and hybrid materials, addressing challenges in catalysis, adsorption, and optoelectronic performance. Dr. Song has authored 13 peer-reviewed publications, which have collectively received 248 citations, reflecting the relevance and growing influence of his work within the scientific community. He holds an h-index of 7, demonstrating consistent scholarly impact. His research outputs show active international and domestic collaborations, as evidenced by a broad co-author network spanning multidisciplinary domains. Through fundamental material innovation and application-oriented studies, his work contributes to sustainable technologies, advanced functional materials, and knowledge transfer, supporting both academic progress and potential societal and industrial impact.

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Junyong He | Environmental Science | Research Excellence Award

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Assoc. Prof. Dr. Junyong He | Environmental Science | Research Excellence Award

Institute of Solid State Physics | China

Dr. Junyong He is a researcher at the Institute of Solid State Physics, Chinese Academy of Sciences, specializing in environmental materials science, catalysis, and advanced separation technologies. His research focuses on the design and interfacial engineering of functional materials—including metal–organic frameworks, MXenes, single-atom catalysts, and catalytic membranes—for water treatment, pollutant removal, and advanced oxidation processes. He has authored 51 Scopus-indexed publications, receiving over 3,673 citations, with an h-index of 32, reflecting strong academic influence and sustained research impact. His work has been published in leading journals such as Water Research, Journal of Hazardous Materials, Separation and Purification Technology, and Journal of Colloid and Interface Science. Dr. He actively collaborates with a broad international network of researchers, as evidenced by extensive co-authorship across institutions. The societal impact of his research lies in advancing sustainable water purification technologies, mitigating environmental pollution, and supporting industrial wastewater management, contributing meaningfully to global environmental protection and public health.

 

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Vahideh Hadigheh-Rezvan | Organic Chemistry | Women Researcher Award

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Assoc. Prof. Dr. Vahideh Hadigheh-Rezvan | Organic Chemistry | Women Researcher Award

Islamic Azad University | Iran

Assoc. Prof. Dr. Vahideh Hadigheh-Rezvan is an emerging researcher in physical chemistry and molecular spectroscopy, with a particular focus on charge-transfer complexes, spectroscopic characterization, and density functional theory (DFT)–based computational analysis. Her work integrates experimental spectral measurements with advanced theoretical modeling to elucidate molecular interactions and electronic structures in complex chemical systems. She has authored 18 peer-reviewed publications, which have collectively received 139 citations, reflecting steady academic influence and relevance within her field. With an h-index of 7, her research demonstrates both productivity and citation impact relative to career stage. Dr. Hadigheh-Rezvan has collaborated with over 25 co-authors, indicating active engagement in multidisciplinary and collaborative research environments. Her contributions support deeper understanding of molecular recognition and electronic properties, with potential applications in materials science, analytical chemistry, and molecular sensing. Through rigorous methodology and theory-driven experimentation, her research contributes to the global advancement of chemical sciences and capacity building in higher education and research communities.

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Giurgică Teodor-Mihail | Field-Deployable Kubernetes | Research Excellence Award

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Mr. Giurgică Teodor-Mihail | Field-Deployable Kubernetes | Research Excellence Award

Nicolae Bălcescu Land Forces Academy | Romania

Mr. Teodor-Mihail Giurgică is an early-career researcher and engineering student at the Nicolae Bălcescu Land Forces Academy, Sibiu (Romania), specializing in Engineering and Management in Military Communications. His research expertise lies at the intersection of distributed computing, cloud-native systems, edge computing, and resilient communication infrastructures, with a strong focus on field-deployable and mission-critical environments. He is the lead author of one peer-reviewed journal article published in Applied Sciences (MDPI, 2025), which proposes a field-deployable Kubernetes cluster architecture to enhance computing capabilities in remote and resource-constrained scenarios. This work demonstrates practical innovation with relevance to defense operations, disaster response, and remote scientific missions. His research involves international collaboration with multidisciplinary co-authors, reflecting an integrative and systems-oriented approach. While citation metrics are still emerging due to the recent publication, his work shows high applied and societal impact potential, contributing to secure, scalable, and resilient digital infrastructures for real-world deployment in critical environments.

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Defu Qiu | Super-Resolution | Research Excellence Award

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Dr. Defu Qiu | Super-Resolution | Research Excellence Award

Qufu Normal University | China

Dr. Defu Qiu is a researcher at the China University of Mining and Technology, Xuzhou, China, specializing in medical imaging, radiomics, and artificial intelligence–based computational intelligence, with a particular focus on MRI analysis and deep learning–driven diagnostic modeling. His research advances the application of U-shaped neural network architectures and multi-level information compensation strategies to enhance image resolution and disease differentiation in complex clinical settings, including cardiac imaging and spinal oncology. Dr. Qiu has published 20 articles, which have received over 552 citations, and he holds an h-index of 11, demonstrating consistent academic impact. His work appears in high-quality international journals such as IEEE Transactions on Emerging Topics in Computational Intelligence and Journal of Bone Oncology. Through interdisciplinary and multi-institutional collaborations, his research contributes to the development of reliable AI-assisted diagnostic tools, supporting improved clinical decision-making and delivering meaningful societal and healthcare impact through more accurate, non-invasive medical imaging solutions.

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Ting Yi | Gastroenterology | Young Scientist Award

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Dr. Ting Yi | Gastroenterology | Young Scientist Award

Tsinghua University | China

Dr. Ting Yi is a clinical researcher at Tsinghua University, Beijing, specializing in gastrointestinal and neuromodulation studies, with a particular focus on functional constipation, sacral nerve stimulation, and the interplay between gastrointestinal disorders and neurological outcomes. Her research integrates clinical interventions, imaging techniques, and microbiota analysis to elucidate pathophysiological mechanisms and improve patient care. Ting Yi has authored multiple peer-reviewed publications in high-impact journals such as Neuromodulation, BMC Gastroenterology, and Frontiers in Neurology, contributing to the fields of gastroenterology, neurology, and translational medicine. Her work demonstrates extensive collaboration with multidisciplinary teams, reflecting strong international and domestic scientific networks. Key achievements include systematic reviews, comparative clinical studies, and pioneering animal model research that bridge basic science and clinical application. Her research has tangible societal impact by advancing diagnostic and therapeutic strategies for gastrointestinal and neurocognitive disorders, supporting evidence-based interventions, and informing clinical guidelines.

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Karim El Moutaouakil | Neural network | Research Excellence Award

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Prof. Dr. Karim El Moutaouakil | Neural network | Research Excellence Award

Université Sidi Mohamed Ben Abdellah | Morocco

Prof. Dr. Karim El Moutaouakil is an active researcher in artificial intelligence, computational intelligence, and applied optimization, with a strong emphasis on machine learning for data-driven decision systems. His work spans deep learning architectures (LSTM, CNNs, HRNNs), metaheuristic and fractional optimization algorithms, fuzzy systems, and their applications in financial forecasting, big data analytics, healthcare prediction, energy systems, and smart decision support. He has authored 98 peer-reviewed publications, receiving 650 citations with an h-index of 15, reflecting consistent scholarly impact. His research demonstrates methodological innovation, notably the integration of Ito-based optimizers, genetic algorithms, fuzzy logic, and hybrid AI frameworks to enhance model accuracy and robustness. With extensive international collaboration involving 90+ co-authors, his work contributes to interdisciplinary knowledge exchange. The societal relevance of his research is evident in applications addressing economic forecasting, personalized tourism, medical risk prediction, and energy optimization, supporting data-informed policy and sustainable technological development at a global level.

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