Annarosa Scalcione | Machine learning | Research Excellence Award

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Dr. Annarosa Scalcione | Machine learning | Research Excellence Award

Politecnico di Torino | Italy

Dr. Annarosa Scalcione is an early-career biomedical engineer at Politecnico di Torino with research expertise in medical image analysis, radiomics, and artificial intelligence–based diagnostic support systems. Her work focuses on end-to-end radiomic frameworks for the automated classification and three-dimensional visualization of vertebral lesions, aiming to enhance accuracy, reproducibility, and clinical interpretability in spinal and musculoskeletal imaging. She is the co-author of a peer-reviewed journal article published in Engineering (MDPI), reflecting her contribution to interdisciplinary research at the intersection of biomedical engineering, computer vision, and clinical imaging. Her research activities involve collaboration with multidisciplinary teams of engineers, clinicians, and imaging experts, underscoring a strong capacity for cooperative scientific work. While at an early stage of her academic career, her research demonstrates clear translational and societal impact by supporting improved diagnostic workflows, facilitating data-driven clinical decision-making, and contributing to the advancement of intelligent healthcare technologies with potential benefits for patient outcomes.


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Peng Zhou | Dexterous Manipulation | Best Researcher Award

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Assist. Prof. Dr. Peng Zhou | Dexterous Manipulation | Best Researcher Award

Great Bay University | China 

Assist. Prof. Dr. Peng Zhou is an Assistant Professor at Great Bay University whose research focuses on robotic manipulation, task and motion planning, robot learning, and bimanual manipulation, with a strong emphasis on deformable object manipulation and human–robot collaboration. His work integrates advanced perception, learning-based control, model predictive optimization, and latent representation frameworks to enable robots to interact robustly with complex, compliant, and dynamic objects. He has authored approximately 15 peer-reviewed publications in leading international journals and conferences, including IEEE Robotics and Automation Letters, IEEE Transactions on Industrial Informatics, IEEE/ASME Transactions on Mechatronics, and Robotics and Computer-Integrated Manufacturing. His research has attracted growing citations and reflects sustained impact across robotics, manufacturing systems, and intelligent automation. Dr. Zhou has collaborated extensively with internationally recognized researchers and institutions, contributing to interdisciplinary teams spanning robotics, AI, and industrial engineering. His work supports real-world applications in smart manufacturing, safe human–robot interaction, and automation, demonstrating both scientific significance and societal relevance.

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Fuqiang Yang | Computed Tomography | Research Excellence Award

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Prof. Fuqiang Yang | Computed Tomography | Research Excellence Award

Northwestern Polytechnical University | China

Prof. Fuqiang Yang is a researcher at the State Key Laboratory of Cemented Carbide, Xi’an, China, with recognized expertise in cemented carbides, advanced hard materials, powder metallurgy, and materials processing technologies. His research focuses on the design, synthesis, and performance optimization of high-strength and wear-resistant materials with applications in cutting tools, industrial manufacturing, and advanced engineering systems. Dr. Yang has authored 39 peer-reviewed publications, which have collectively received 278 citations, reflecting the relevance and consistency of his scientific contributions. With an h-index of 10, his work demonstrates both productivity and sustained scholarly impact. He has actively collaborated with 46 co-authors, highlighting strong interdisciplinary and institutional research engagement. His studies contribute to improving material durability, manufacturing efficiency, and resource utilization, thereby supporting industrial innovation and technological advancement. Overall, Dr. Yang’s research has meaningful academic value and practical relevance, reinforcing the development of next-generation materials for high-performance applications.

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Xuebao Fu | Soft Energy Science | Research Excellence Award

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Dr. Xuebao Fu | Soft Energy Science | Research Excellence Award

Nanjing University of Aeronautics and Astronautics | China

Dr. Xuebao Fu is a researcher at Nanjing University of Aeronautics and Astronautics, China, with expertise in energy economics, policy uncertainty, enterprise innovation efficiency, and sustainable energy transition, particularly in the context of China’s evolving energy system. His research integrates international trade policy analysis with firm-level innovation and efficiency studies, offering empirical evidence on how external policy shocks influence technological progress and energy transformation pathways. Dr. Fu has published 5 research articles, which have received 36 citations, achieving an h-index of 3, reflecting the academic relevance and emerging impact of his work. He has actively collaborated with 14 co-authors, demonstrating strong engagement in interdisciplinary and collaborative research environments. His recent publication in the high-impact journal Energy (2026) underscores the role of enterprise innovation efficiency in mediating the effects of U.S. trade policy uncertainty on China’s energy transition. Overall, his research contributes to evidence-based energy policymaking, innovation-driven industrial development, and sustainable economic growth, supporting broader societal and environmental objectives at both national and global levels.

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Jing Meng | Medical image processing | Research Excellence Award

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Prof. Jing Meng | Medical image processing | Research Excellence Award

Qufu Normal University | China

Prof. Jing Meng is an active researcher in medical image analysis and intelligent healthcare systems, with a primary focus on deep learning–based image segmentation, disease grading, and multimodal medical imaging. Her work addresses critical challenges in diabetic retinopathy analysis, OCT/OCTA vessel segmentation, low-dose CT denoising, and cross-domain feature fusion using advanced neural network architectures. She has authored 73 Scopus-indexed publications, receiving 814 citations and achieving an h-index of 13, reflecting sustained research impact. Her studies are published in high-quality international journals, including Science Advances, Information Fusion, Expert Systems with Applications, and Neurocomputing. Dr. Meng maintains extensive academic collaboration, evidenced by 157 co-authors, highlighting strong interdisciplinary and international engagement. Her research contributes significantly to early disease diagnosis, clinical decision support, and improved medical imaging accuracy, demonstrating clear societal and healthcare impact through the advancement of AI-driven diagnostic technologies.

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Recep Sahingoz | Nanotechnology | Research Excellence Award

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Prof. Recep Sahingoz | Nanotechnology | Research Excellence Award

Yozgat Bozok Üniversitesi | Turkey

Prof. Recep Şahingöz is an active researcher in applied physics and materials science, with particular expertise in optoelectronic devices, photovoltaic systems, semiconductor materials, and nanotechnology-based sensors. His research focuses on the design, fabrication, and performance optimization of photodiodes, dye-sensitized solar cells, and metal–semiconductor structures, contributing to advancements in energy harvesting and sensing technologies. Prof. Şahingöz has authored 27 peer-reviewed publications, which have collectively received over 326 citations, reflecting steady scholarly impact and relevance within his field. He holds an h-index of 9, indicating consistent research influence. His work demonstrates strong collaborative engagement, evidenced by cooperation with more than 40 co-authors, spanning interdisciplinary and institutional boundaries. The practical orientation of his research supports applications in renewable energy, optoelectronics, and smart sensing, offering measurable societal and technological benefits aligned with global sustainability and innovation goals.

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Peipei Jiao | Plant Stress Physiology | Best Scholar Award

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Dr. Peipei Jiao | Plant Stress Physiology | Best Scholar Award

Tarim University | China 

Dr. Peipei Jiao is an active researcher at Tarim University, Aral, China, specializing in plant biology, stress physiology, and molecular ecology, with a particular focus on Populus euphratica, a keystone species in arid and saline environments. Her research integrates genome-wide identification, gene family analysis, and anatomical studies to elucidate plant adaptive mechanisms under abiotic stresses such as salinity, drought, and aging. Dr. Jiao has authored 36 publications, which have collectively received 285 citations, reflecting steady scholarly impact in plant science and environmental biology, with an h-index of 11. Her work is frequently published in reputable international journals, including Plants and the International Journal of Molecular Sciences. She has collaborated with a broad network of researchers (90+ co-authors), demonstrating strong interdisciplinary and institutional engagement. The social and ecological relevance of her research lies in supporting sustainable forestry, desert ecosystem conservation, and climate-resilient agriculture in arid regions, contributing valuable knowledge to global environmental sustainability efforts.

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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 76 peer-reviewed publications, accumulating 4,265 citations with an h-index of 31, 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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