Ke Wang | Micro-Devices | Research Excellence Award

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Prof. Dr. Ke Wang | Micro-Devices | Research Excellence Award

East China University of Technology | China

Prof. Dr. Ke Wang is an established researcher in condensed matter physics, magnetic materials, and neuromorphic electronic devices, currently affiliated with East China University of Technology, China. His research primarily focuses on spintronic materials, magnetocaloric effects, perpendicular magnetic anisotropy, thin-film magnetism, and memristor-based neuromorphic computing, integrating materials science with next-generation computing technologies. Dr. Wang has authored 90 peer-reviewed publications, which have received over 840 citations, reflecting sustained academic influence and a solid h-index of 15. His work is widely published in high-impact international journals such as Applied Physics Letters, ACS Applied Electronic Materials, Journal of Physics D, and Nanotechnology. He has collaborated extensively with a broad international network, evidenced by over 140 co-authors, highlighting strong interdisciplinary and cross-institutional engagement. Dr. Wang’s research contributes to advances in energy-efficient computing, magnetic refrigeration, and emerging memory technologies, supporting long-term societal impact in sustainable energy systems and intelligent electronic devices.

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Thickness-dependent interface effects on magnetic and magnetocaloric properties of Ta-capped TbFeCo amorphous thin films

– Jagadish Kumar Galivarapu, 2026


Synaptic plasticity and handwritten digit recognition of a memristor based on a high-stability lead-free Cs3Bi2Br9 perovskite thin film†

– Jian Liu, 2025


Cross-modal neuromorphic computing in GdFeCo devices by spin–orbit torque induced field-free magnetization switching

– Huiyun Hu, 2025


Robust multilevel storage characteristics of Al2O3/HfO2/Al2O3 trilayer-structured memristor fabricated by atomic layer deposition for neuromorphic computing

– Jian Liu, 2025


Thickness effects of ultrathin Pt spacer on perpendicular exchange coupling properties of TbFeCo bilayers with opposite phases

– Ke Wang, 2025

Marianna Notarnicola | Digital Twin | Research Excellence Award

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Ms. Marianna Notarnicola | Digital Twin | Research Excellence Award

Lutech S.p.a. | Italy

Ms. Marianna Notarnicola is a researcher and industry professional specializing in data-driven digital twins, smart energy infrastructures, and AI-enabled urban systems, with a strong focus on practical deployment within telecommunications and energy sectors. Affiliated with Nokia Siemens Networks S.p.A., Italy, her work bridges advanced data analytics, retrieval-augmented generation (RAG), and smart city technologies to enhance the intelligence, resilience, and efficiency of energy infrastructure digital twins. She has authored 5 publications, which have received 45 citations and 3 h-index, reflecting a solid and growing impact within an interdisciplinary research community spanning smart cities, energy systems, and applied AI. Her collaborations with 23 international co-authors demonstrate strong engagement with cross-sector and multi-institutional research networks. A notable achievement includes her open-access 2024 publication on RAG-based digital twins, contributing to transparent, scalable, and data-centric urban energy management. Overall, her research supports sustainable infrastructure development, informed decision-making, and the societal transition toward smarter, greener cities.

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Yixian Dong | Optical Computing | Research Excellence Award

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Assoc. Prof. Dr. Yixian Dong | Optical Computing | Research Excellence Award

Southwest Jiaotong University | China

Assoc. Prof. Dr. Yixian Dong, based at Southwest Jiaotong University, Chengdu, China, is a distinguished researcher in photonic and optical communication systems, with a particular focus on reservoir computing, visible light communications (VLC), and multi-user MIMO-OFDMA networks. His work integrates advanced photonic architectures with cutting-edge signal processing to enhance high-speed, short-reach optical transmission and wireless optical systems. To date, he has authored 41 publications that have collectively garnered 325 citations and 10 h-index, reflecting both the relevance and impact of his contributions. Dong maintains extensive international collaborations, engaging with over 70 co-authors across multidisciplinary projects, demonstrating his commitment to global scientific exchange. His research advances practical applications in optical networking, data transmission, and intelligent computing systems, influencing both industry and academia. By bridging theoretical innovation with experimental validation, Dong’s work significantly contributes to the development of efficient, high-capacity communication technologies, reinforcing the societal and technological impact of photonic intelligence in modern information systems.

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Bin Zhang | Artificial Intelligence | Research Excellence Award

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Prof. Bin Zhang | Artificial Intelligence | Research Excellence Award

City University of Hong Kong | China

Prof. Bin Zhang is a Professor and senior engineering expert specializing in computer science and intelligent perception, with a strong focus on brain-inspired intelligence, generative models, small object detection, and deep learning–based visual understanding. His research integrates theory and real-world applications in areas such as infrared tiny object detection, intelligent transportation, panoramic vision, spiking neural networks, and natural language processing. He has authored 6 peer-reviewed publications in reputable international journals and conferences, including Sensors and the International Journal of Pattern Recognition and Artificial Intelligence, with his work attracting growing academic citations and visibility. Zhang Bin has led and contributed to multiple nationally recognized innovation initiatives in China and maintains active collaborations with researchers across academia and industry. His research has demonstrated clear social and industrial impact, particularly in smart cities, intelligent sensing, and decision-support systems, advancing practical AI deployment aligned with national and global technological priorities.


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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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