Heer Wang | Environmental and Sustainable Materials | Research Excellence Award

Dr. Heer Wang | Environmental and Sustainable Materials | Research Excellence Award 

Kunming University of Science and Technology | China

Dr. Heer Wang is an emerging scholar in applied economics whose research lies at the intersection of industrial transformation, climate change, labor mobility, and sustainable economic development. His work explores how evolving economic structures and environmental shocks shape household behavior, productivity, and long-term growth pathways, particularly within developing and transitional economies. By integrating rigorous microeconometric evaluation methods with rich empirical data, he contributes meaningful insights into how societies adapt to climate risks and structural shifts. A major strand of his research investigates the socioeconomic consequences of climate variability, especially extreme rainfall and its implications for rural livelihoods. His publications in leading journals such as Science of The Total Environment and Applied Economic Perspectives and Policy highlight how climate shocks influence labor mobility, household vulnerability, agricultural productivity, and consumption smoothing. His studies provide evidence-based perspectives that deepen the understanding of how rural communities manage risk, adjust labor allocation, and navigate long-term adaptation strategies under environmental uncertainty. Another important area of his work focuses on industrial structure upgrading and technological capability. Through theoretical and empirical analyses published in the Asian Journal of Technology Innovation, his research examines the depth and sophistication of structural transformation, revealing how technological capacity and sectoral linkages drive high-quality economic development. His work contributes to policy discussions on how emerging economies can enhance industrial competitiveness while maintaining sustainable growth. In addition to published work, he has developed several working papers addressing market integration, climate-induced behavioral responses, and the dynamics of agricultural adaptation. These studies reflect a consistent research theme: understanding how economic agents respond to shocks and incentives within rapidly evolving socioeconomic environments. His research portfolio is reinforced by participation in multiple interdisciplinary and national research projects funded by major institutions. These projects span topics such as digital economy development, fertility policy evaluation, labor mobility under technological disruption, climate risk prediction using artificial intelligence, and the economic implications of population aging. His role across these initiatives demonstrates strong capabilities in empirical modeling, policy analysis, and data-driven decision support. He brings expertise in microeconometrics, policy evaluation techniques, and quantitative analysis using software platforms such as Stata, R, and SPSS. His work contributes directly to academic knowledge, policymaking, and practical interventions aimed at improving resilience, enhancing productivity, and supporting sustainable economic progress. Overall, his research advances critical conversations on how economies can navigate structural change while adapting to environmental and demographic challenges.

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Wenqiang Yang | Advanced Materials Engineering | Research Excellence Award

Assoc. Prof. Dr. Wenqiang Yang | Advanced Materials Engineering | Research Excellence Award

Beihang University | China

Dr. Wenqiang Yang is an emerging leading scholar in the field of optoelectronic materials, specializing in perovskite semiconductors and their advanced device applications. His research centers on the design, synthesis, and physics of next-generation perovskite materials for high-performance photovoltaics, light-emitting diodes (LEDs), photodetectors, and scintillators. With a strong foundation in optoelectronic material physics, his work spans fundamental studies on ultrafast carrier dynamics, interface engineering, crystallization mechanisms, dielectric screening, and defect management, as well as the development of scalable and efficient device architectures. Dr. Yang’s investigations have significantly advanced the understanding of charge transport, stability enhancement, surface modifications, and interfacial optimization in halide perovskite systems, enabling notable progress toward commercially viable perovskite-based optoelectronics. A major portion of his research has focused on solving critical limitations in perovskite solar cells, including charge confinement, instability under environmental stress, and buried interface losses. His breakthroughs include demonstrating methods such as amine-assisted ligand exchange, green solution-bathing processes, low-dimensional interlayers, plasmonic functionalization, grain encapsulation, and surface-modifying quantum dots, which have improved device efficiency, photovoltage, and long-term stability. Several of his studies have been recognized as ESI Highly Cited Papers, and one was selected among the Top 100 Most Influential International Academic Papers in China (2018). Beyond photovoltaics, Dr. Yang has advanced research on perovskite photodetectors, demonstrating broadband and plasmonic-enhanced detection strategies, as well as on perovskite single-crystal micro-arrays that open pathways for high-performance functional optoelectronic devices. His work on dielectric screening and multiple-defect management has provided foundational insights that influence device engineering strategies worldwide. With over 20 SCI-indexed publications, more than 4114 citations, and an h-index of 19, his contributions have already shaped the direction of optoelectronic material research. Dr. Yang’s interdisciplinary collaborations across materials science, nanotechnology, energy engineering, and device physics further amplify the impact of his research, positioning him as a significant contributor to the global advancement of perovskite-based optoelectronic technologies.

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Shraddha Baldaniya | Health Professions | Best Research Article Award

Dr. Shraddha Baldaniya | Health Professions | Best Research Article Award 

Enjoy Rehab PT PC | United States

Dr. Youngah Do is an Associate Professor in the Department of Linguistics at The University of Hong Kong (HKU), where she specializes in phonology, language acquisition, and cognitive linguistics. Her academic journey reflects a distinguished record of excellence, beginning with her B.A. in English Linguistics from Seoul National University, where she graduated summa cum laude. She continued at the same institution to complete her M.A. in English Linguistics, further solidifying her foundation in theoretical and applied language studies. Driven by a deep interest in the cognitive mechanisms underlying linguistic structure, she pursued and earned her Ph.D. in Linguistics from the Massachusetts Institute of Technology (MIT), one of the world’s leading centers for linguistic research. Before joining HKU, Dr. Do served as a Visiting Assistant Professor at Georgetown University, where she taught and mentored students while continuing to advance her research. Her academic career is marked by a series of prestigious honors and fellowships, reflecting her scholarly impact and leadership in the field. She is a recipient of the Universitas 21 Fellowship, the MIT Presidential Fellowship, and multiple faculty awards that recognize her outstanding contributions to research, teaching, and service. In addition, she has been elected a Fellow of the Higher Education Academy (HEA), acknowledging her commitment to excellence in higher education pedagogy and student development. Dr. Do’s research centers on phonological learning, language variation, bilingualism, and the cognitive bases of linguistic representation. By integrating theoretical linguistics with experimental and computational approaches, she investigates how learners acquire complex sound patterns, how linguistic variation emerges across communities, and how bilingual speakers navigate and structure their linguistic knowledge. Her work extends to broader questions concerning the interplay between cognitive architecture and the organization of linguistic systems. These research themes have resulted in a significant body of publications in high-impact journals and edited volumes. Her collaborations—both with international scholars and with her own graduate and undergraduate students—demonstrate her strong commitment to fostering a vibrant research culture and mentoring the next generation of linguists. Beyond her scholarly achievements, Dr. Do plays an active and influential role in academic service. She contributes to the field through editorial board appointments, external reviews of academic programs, and extensive peer-review activities across leading linguistics journals and national research funding agencies. Her service exemplifies her dedication to maintaining rigorous academic standards and supporting the global linguistics community. At HKU, she is deeply engaged in curriculum development, student advising, and interdisciplinary initiatives that connect linguistics with cognitive science, education, and language technology. Through her teaching, research, and service, Youngah Do has established herself as a respected voice in contemporary linguistics. Her work continues to advance our understanding of how human languages are structured, learned, and represented in the mind, making meaningful contributions to theoretical inquiry and applied linguistic scholarship alike.

Profile: Orcid

Featured Publications

Baldania, S. (n.d.). Emerging trends in physical therapy for stroke rehabilitation: A comprehensive review. International Journal of Scientific Research (IJSR).

Baldania, S. (n.d.). Heart and lung dysfunction prevention through rehabilitation and physical therapy education: A comprehensive overview.

Baldania, S. (n.d.). Improved movement, improved life: The vital contribution of physical therapy to orthopaedics. International Journal of Physiotherapy (IAEME).

Baldania, S. (n.d.). Intersectionality in neurodevelopmental disorders: A literature review on co-occurrence of autism spectrum disorder and attention-deficit/hyperactivity disorder – Examining therapeutic approaches and interventions.

Baldania, S. (n.d.). Investigating the impact of pre-operative physical fitness on post-operative rehabilitation in total hip replacement: A literature synthesis. Journal of Physical Medicine Rehabilitation Studies & Reports.

Baldania, S. (n.d.). Motion for wellness: Integrating physical therapy in Parkinson’s disease management. Journal of Physical Medicine Rehabilitation Studies & Reports.

Baldania, S. (n.d.). Neuromuscular training protocols: Tailoring strategies for improved functional outcomes and second ACL injury prevention. Journal of Physical Medicine Rehabilitation Studies & Reports.

Youngah Do | Humanities and Science Integration | Research Excellence Award

Prof. Youngah Do | Humanities and Science Integration | Research Excellence Award 

The University of Hong Kong | Hong Kong

Dr. Youngah Do is an accomplished scholar and Associate Professor of Linguistics at The University of Hong Kong, where she has developed a strong research and teaching profile in phonology, language acquisition, bilingualism, and the cognitive foundations of linguistic structure. She completed her B.A. in English Linguistics and Literature with summa cum laude distinction and her M.A. in English Linguistics at Seoul National University, demonstrating early academic excellence and a deep commitment to linguistic inquiry. Building on this foundation, she earned her Ph.D. in Linguistics from the Massachusetts Institute of Technology (MIT), one of the world’s top institutions for theoretical and experimental linguistics, where she further refined her expertise in phonological theory, formal models of linguistic knowledge, and empirical approaches to understanding how humans acquire and process language. Before joining The University of Hong Kong, Dr. Do broadened her academic experience as a Visiting Assistant Professor at Georgetown University, contributing to its interdisciplinary community and engaging in collaborative research across cognitive science, theoretical linguistics, and language acquisition. Her professional affiliations include being a Fellow of the Higher Education Academy, reflecting her commitment to excellence in teaching and pedagogical innovation, as well as active membership in the Association for Laboratory Phonology, which aligns with her interest in integrating experimental methods with theoretical models of phonology. Dr. Do has been recognized with major international honors such as the Universitas 21 Fellowship and the U21@21 Award, distinctions that highlight her global academic impact and leadership potential. Under her mentorship, her students have also earned highly competitive international accolades, including The Global Undergraduate Award and the Cognitive Science Society Student Award, underscoring her dedication to cultivating the next generation of scholars. Her research program is characterized by a sophisticated integration of experimental, computational, and cognitive approaches aimed at advancing our understanding of phonological learning, the structure of linguistic knowledge, and the mechanisms underlying bilingual and second-language acquisition. She has produced an extensive body of peer-reviewed work published in high-impact journals and presented at leading international conferences, contributing significantly to both theoretical linguistics and cognitive science. In addition to her research and teaching contributions, Dr. Do plays an active role in scholarly service at the global level. She serves on the editorial boards of Phonology, published by Cambridge University Press, and Studies in Linguistics, helping shape the direction of research in her field. She is also a frequent reviewer for top-tier journals, conferences, and national and international funding agencies, reflecting her standing as a trusted expert within the academic community. Through her combined work as a researcher, educator, mentor, and academic leader, Dr. Youngah Do continues to make substantial contributions to the advancement of linguistics and to the broader understanding of how language is structured, learned, and processed across diverse contexts.

Profile: Scopus | Orcid

Featured Publications

Tan, F. L., & Do, Y. (2025). Bottom-up modeling of phoneme learning: Universal sensitivity and language-specific transformation. Speech Communication. https://doi.org/10.1016/j.specom.2025.103343

Yu, X., & Do, Y. (2025). Preference for distinct variants in learning sound correspondences during dialect acquisition. Language and Speech. https://doi.org/10.1177/00238309241308171

Tan, F. L., & Do, Y. (2025). Attention-LSTM autoencoder simulation for phonotactic learning from raw audio input. Linguistics Vanguard. https://doi.org/10.1515/lingvan-2024-0210

Thompson, A. L., Van Hoey, T., Chik, A. W. C., & Do, Y. (2025). Iconic hand gestures from ideophones exhibit stability and emergent phonological properties: An iterated learning study. Cognitive Linguistics. https://doi.org/10.1515/cog-2024-0033

Sze, S. S. L., Yu, X., Van Hoey, T., Yu, B., & Do, Y. (2025). Bilinguals’ advantages in executive function: Learning phonotactics and alternation. Second Language Research. https://doi.org/10.1177/02676583251327097

Zheng, S., & Do, Y. (2025). Substantive bias in artificial phonology learning. Language and Linguistics Compass. https://doi.org/10.1111/lnc3.70005

Van Hoey, T., Yu, X., Pan, T.-L., & Do, Y. (2024). What ratings and corpus data reveal about the vividness of Mandarin ABB words. Language and Cognition. https://doi.org/10.1017/langcog.2024.22

Yu, X., Van Hoey, T., Tan, F. L., Du, B., & Do, Y. (2024). Tracking phonological regularities: Exploring the influence of learning mode and regularity locus in adult phonological learning. Linguistics Vanguard. https://doi.org/10.1515/lingvan-2023-0050

Chao Wang | Computer Science and Artificial Intelligence | Research Excellence Award

Mr. Chao Wang | Computer Science and Artificial Intelligence | Research Excellence Award

North China University of Technology | China

Dr. Chao Wang, an accomplished Associate Professor at the North China University of Technology, is a distinguished researcher whose work significantly advances the fields of vehicular networks, IoT security, and edge computing. Holding a Ph.D. in Computer Science, Dr. Wang has developed a strong academic portfolio grounded in deep technical expertise and innovative thinking. His research addresses some of the most pressing challenges in intelligent transportation systems, focusing on secure data communication, privacy-preserving mechanisms, and efficient resource allocation in highly dynamic vehicular environments. With 23 publications in SCI and Scopus-indexed journals and conferences, his work demonstrates a consistent trajectory of high-quality scientific output. His research impact is further reflected in 660 citations, an H-index of 10, and an i10-index of 10, according to Google Scholar as of December 3, 2025. These metrics underscore his growing global influence and the relevance of his contributions to next-generation intelligent mobility systems. Dr. Wang has successfully completed and continues to lead multiple national and provincial research projects, focusing on enhancing the reliability, safety, and intelligence of connected vehicle ecosystems. His innovations include blockchain-based frameworks for secure traffic data management, anomaly detection systems for vehicle-to-vehicle communication, and privacy-preserving architectures for IoT-enabled transportation infrastructures. With four patents published or under process, he demonstrates strong translational capability, often transforming theoretical models into practical, real-world solutions. His collaborations with researchers from Springer Nature, IEEE, and various international universities highlight his interdisciplinary approach and commitment to advancing global research partnerships. Although he has not yet undertaken industry consultancy projects, Dr. Wang’s research outputs inherently serve industrial needs, especially in smart transportation, urban planning, and secure IoT deployment. He is also an active professional member of IEEE, contributing to the broader scientific community through peer review, academic exchanges, and participation in scholarly networks. Beyond research, Dr. Wang is dedicated to academic mentorship, guiding students who have achieved recognition in national-level competitions, illustrating his commitment to nurturing the next generation of innovators. With strong expertise, a solid publication record, impactful innovations, and a dedication to advancing secure and intelligent transportation systems, Dr. Wang exemplifies the qualities celebrated by the Research Excellence Award. His achievements reflect not only academic rigor but also societal relevance, making him a highly deserving nominee for this international honor.

Profile: Orcid

Featured Publications

Li, J., Wang, C., Seo, D., Cheng, X., He, Y., Sun, L., Xiao, K., & Huo, Y. (2021). Deep learning-based service scheduling mechanism for GreenRSUs in the IoVs. Wireless Communications and Mobile Computing, 2021, Article 7018486. https://doi.org/10.1155/2021/7018486

Wang, C. (2020). Destination prediction-based scheduling algorithms for message delivery in IoVs. IEEE Access, 8, 1–15. https://doi.org/10.1109/ACCESS.2020.2966494

Wang, C. (2018). A blockchain-based privacy-preserving incentive mechanism in crowdsensing applications. IEEE Access, 6, 1–12. https://doi.org/10.1109/ACCESS.2018.2805837

Wang, C. (2015). A reliable broadcast protocol in vehicular ad hoc networks. International Journal of Distributed Sensor Networks, 11(8), Article 286241. https://doi.org/10.1155/2015/286241

Wang, C. (2015). Ads dissemination in vehicular ad hoc networks. In 2015 IEEE International Conference on Communications (ICC) (pp. 1–6). IEEE. https://doi.org/10.1109/ICC.2015.7248890

Wang, C. (2014). Schedule algorithms for file transmission in vehicular ad hoc networks. In Wireless Algorithms, Systems, and Applications (pp. 135–147). Springer. https://doi.org/10.1007/978-3-319-07782-6_12

Wang, C. (2014). S-disjunct code-based MAC protocol for reliable broadcast in vehicular ad hoc networks. In 2014 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI) (pp. 1–6). IEEE. https://doi.org/10.1109/IIKI.2014.66

Suocheng Dong | Environmental and Sustainable Materials | Best Researcher Award

Prof. Suocheng Dong | Environmental and Sustainable Materials | Best Researcher Award

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences | China

Prof. Dong Suocheng is a leading scholar in regional economic geography, ecological economics, and green development studies, widely recognized for his influential contributions to the understanding of resource–environment interactions and sustainable development pathways in China and across Eurasia. As a senior professor at the Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Sciences, he has built a distinguished academic career centered on the theory, methodology, and empirical assessment of ecological economic systems, regional sustainable development, and the coupling mechanisms between urbanization, economic growth, and the ecological environment. His research spans a broad range of topics including regional ecological economic differentiation, circular economy models, eco-city construction, ecological civilization pathways, green development strategies, and the quantitative analysis of urban–environment coordination. He has contributed extensively to the development of frameworks for evaluating ecological risks, optimizing regional resource allocation, and guiding policy for cross-border sustainable development initiatives such as the Belt and Road, the China–Mongolia–Russia corridor, and regional integration across Northeast and Central Asia. Prof. Dong has led nearly one hundred major national-level, ministerial, and regional research projects, including key programs of the National Natural Science Foundation of China and strategic cooperation initiatives. His contributions have resulted in more than 360 academic publications, monographs, and research reports that have significantly shaped scholarly discourse and policy formulation in resource economics, environmental management, and regional planning. More than forty of his advisory reports have been acknowledged and adopted by national decision-making bodies, demonstrating his strong impact on high-level sustainable development policy. His influential publications include seminal works on the coupling coordination between urbanization and the eco-environment in Mongolia, ecological and socioeconomic risks in international infrastructure projects, spatial–temporal drivers of carbon emissions in interprovincial trade, and assessment of circular economy systems in energy-intensive industries. His research in Land Use Policy, Environmental Science & Technology, Sustainability, Journal of Geographical Sciences, and Resources Science has become central to the advancement of regional ecological economics and spatial sustainable development. Through decades of rigorous scholarship, multidisciplinary collaboration, and strategic policy engagement, Prof. Dong has established himself as a major contributor to the evolution of ecological economic theory, regional green development models, and the science–policy interface essential to achieving sustainable development in rapidly transforming regions.

Profile: Scopus

Featured Publications

Dong, S., Chen, C., & Li, Y. (2016). An investigation report on economic and social sciences in Northern China and its adjacent areas. Science Press.

Dong, S., & Sun, J. (2017). Regional sustainable development of Northeast and Central Asia. Science Press.

Dong, S., Zheng, J., Li, Y., Li, Z., Li, F., Jin, L., & Yang, Y. (2019). Quantitative analysis of the coupling coordination degree between urbanization and eco-environment in Mongolia. Chinese Geographical Sciences, 29(5), 861–871.

Dong, S., Yang, Y., Li, F.*, et al. (2018). An evaluation of the economic, social, and ecological risks of China-Mongolia-Russia high-speed railway construction and policy suggestions. Journal of Geographical Sciences, 28(7), 900–918.

Dong, S., Wang, Z., Li, Y., Li, F., Chen, F., & Cheng, H. (2017). Assessment of comprehensive effects and optimization of a circular economy system of coal power and cement in Kongtong District, Pingliang City, Gansu Province, China. Sustainability, 9(787). https://doi.org/10.3390/su9050787

Dong, S., Cheng, H., Guo, P., et al. (2016). Transportation industry patterns and strategy of the Belt and Road. Bulletin of the Chinese Academy of Sciences, 31(6), 663–670.

Dong, S., Huang, Y., Li, Z., et al. (2014). Economic development patterns and regional economic integration modes for the Silk Road Economic Zone. Resources Science, 36(12), 2451–2458.

Wu, Y., & Dong, S.* (2018). Quantifying urban land expansion dynamics through improved land management institution model—Application in Ningxia–Inner Mongolia, China. Land Use Policy, 78, 386–396.

 

Tinggui Chen | Engineering | Research Excellence Award

Dr. Tinggui Chen | Engineering | Research Excellence Award 

Hefei University of Technology | China

Dr. Tinggui Chen is a highly accomplished researcher and academic in the field of mechanical engineering, with a specialized focus on acoustic metamaterials, phononic crystals, and advanced signal detection techniques. He completed his doctoral studies in mechanical engineering under the supervision of Prof. Dejie Yu at Hunan University, after earning both his bachelor’s degree from Hainan University and master’s degree from Hunan University. During his doctoral tenure, he developed innovative methodologies for enhancing acoustic sensing and signal detection using engineered metamaterials, establishing a strong foundation for his research career. Dr. Chen’s work is characterized by its combination of theoretical insight and experimental rigor, particularly in the design and application of gradient metamaterials, coiling-up structures, and space-time-modulated systems. His research has led to significant advancements in weak signal detection, directional acoustic sensing, and energy amplification in phononic systems. Notably, his studies on multi-frequency signal enhancement via gradient defect phononic crystals and space-time-modulated airborne acoustic circulators demonstrate his ability to bridge fundamental physics with practical engineering applications. He has actively contributed to the international scientific community through his extensive publication record, which includes articles in high-impact journals such as Measurement, Physical Review Applied, IEEE Transactions on Industrial Informatics, Mechanical Systems and Signal Processing, Journal of Sound and Vibration, IEEE Sensors Journal, Journal of Physics D: Applied Physics, and Physical Review B. These publications reflect his sustained focus on acoustic metamaterials, phononic crystal resonators, and novel techniques for signal demodulation and amplification, marking him as a leading expert in his domain. Dr. Chen’s research trajectory has also been enriched by international exposure and collaborative experiences. As a visiting scholar at EPFL under Prof. Romain Fleury, he explored cutting-edge experimental demonstrations in acoustic systems, further strengthening his expertise in wave manipulation and signal processing. Currently, as a postdoctoral researcher at Shanghai Jiao Tong University and an assistant professor at Hefei University of Technology, he continues to advance both fundamental and applied research, integrating computational modeling, experimental acoustics, and material design. His contributions have significant implications for industrial monitoring, structural health assessment, and the development of high-precision acoustic devices. With a strong focus on innovation, interdisciplinary collaboration, and practical application, Dr. Chen exemplifies the integration of scientific research and engineering solutions, positioning him as a rising leader in the field of mechanical engineering and acoustic metamaterials.

Profile: Orcid

Featured Publications

Chen, T., Zhu, M., Li, L., Wei, H., & Xia, B. (2026). Multi-frequency weak signals enhancement detection via gradient defect phononic crystals. Measurement, 261, 119933. https://doi.org/10.1016/j.measurement.2025.119933

Chen, T., Malléjac, M., Bi, C., Xia, B., & Fleury, R. (2025). Experimental demonstration of a space-time-modulated airborne acoustic circulator. Physical Review Applied, 23, 054017. https://doi.org/10.1103/PhysRevApplied.23.054017

Chen, T., Xia, B., Yu, D., & Bi, C. (2024). Robust enhanced acoustic sensing via gradient phononic crystals. Physics Letters A, 440, 129242. https://doi.org/10.1016/j.physleta.2023.129242

Chen, T., Wang, C., & Yu, D. (2022). Pressure amplification and directional acoustic sensing based on a gradient metamaterial coupled with space-coiling structure. Mechanical Systems and Signal Processing, 181, 109499. https://doi.org/10.1016/j.ymssp.2022.109499

Chen, T., & Yu, D. (2022). A novel method for enhanced demodulation of bearing fault signals based on acoustic metamaterials. IEEE Transactions on Industrial Informatics, 18(10), 6857–6864. https://doi.org/10.1109/tii.2022.3143161

Chen, T., Jiao, J., & Yu, D. (2022). Strongly coupled phononic crystals resonator with high energy density for acoustic enhancement and directional sensing. Journal of Sound and Vibration, 529, 116911. https://doi.org/10.1016/j.jsv.2022.116911

Mohamed Taha | Neuroscience | Research Excellence Award

Dr. Mohamed Taha | Neuroscience | Research Excellence Award 

Massachusetts General Hospital | United States

Dr. Mohamed Adel Osman Taha is an accomplished physician-scientist whose work bridges clinical neurology, neuromuscular medicine, and advanced applications of artificial intelligence in neurological diagnostics. His academic and clinical training spans leading global institutions, including fellowships in Advanced General & Autoimmune Neurology at Massachusetts General Hospital, Neuromuscular Medicine at the Cleveland Clinic Foundation, and Neurohospitalist Medicine at Stanford University. He also holds advanced master’s degrees in Stem Cells and Translational Neurology from the University of Edinburgh and in Genomic Medicine from the University of Manchester, reflecting a deep interdisciplinary foundation in neuroscience, genetics, and regenerative neurology. Dr. Taha’s research focuses on leveraging digital health technologies, AI-driven diagnostic tools, and advanced neurophysiology to improve the detection, characterization, and management of neuromuscular and neurodegenerative disorders. His scholarly contributions include impactful studies on electromyography signal classification using artificial intelligence, the clinical reliability of ICD-10 coding for stroke severity, and the role of AI in electrodiagnostic medicine—work published in high-impact journals such as Muscle & Nerve, BMJ Neurology Open, and npj Digital Medicine. These efforts underscore his commitment to translating computational innovations into precise, scalable clinical tools. His published research encompasses artificial intelligence in EMG and seizure detection, digital biomarkers, genotype–phenotype correlations, stroke outcome evaluation, and the interactions between neurologic therapeutics and anticoagulants. Dr. Taha has also contributed to the understanding of rare neurological diseases, leukoencephalopathies, and epilepsy-related challenges through case reports, systematic reviews, and population-based studies. His contributions extend to multi-institutional collaborations, including establishing neurocritical EEG databases and developing deep learning models for neuromuscular disease assessment. He has authored book chapters, research protocols, peer-reviewed abstracts, and numerous conference presentations at major neurological scientific meetings, including the American Academy of Neurology, the American Epilepsy Society, and the American Association of Neuromuscular & Electrodiagnostic Medicine. His book chapter on digital health in neurology further highlights his forward-looking approach to integrating technology with clinical practice. Beyond research, Dr. Taha has contributed significantly to academic medicine through resident education, cross-continental neurology outreach initiatives, and the founding of research groups aimed at strengthening scientific capacity in underserved regions. His growing body of work reflects a strong commitment to innovation, interdisciplinary collaboration, and improving neurological care through data-driven, technology-enhanced solutions.

Profile: Google Scholar

Featured Publications

Elamin, E. M., Guizani, I., Guerbouj, S., Gramiccia, M., El Hassan, A. M., & others. (2008). Identification of Leishmania donovani as a cause of cutaneous leishmaniasis in Sudan. Transactions of the Royal Society of Tropical Medicine and Hygiene, 102(1), 75–80.

Taha, M. A., & Morren, J. A. (2024). The role of artificial intelligence in electrodiagnostic and neuromuscular medicine: Current state and future directions. Muscle & Nerve, 69(3), 260–272.

Taha, M., Li, W., Schmidt, C. M., Gonzalez-Castellon, M., & Taraschenko, O. (2020). The interactions between anticonvulsants and non-vitamin K antagonist oral anticoagulant agents: A systematic review. Epilepsy Research, 162, 106304.

Saab, K., Tang, S., Taha, M., Lee-Messer, C., Re, C., & Rubin, D. L. (2024). Towards trustworthy seizure onset detection using workflow notes. npj Digital Medicine, 7(1), 42.

Elimam, A. A., Aabdein, M. E. M. M., Eldeen, M. E. F. M., Altayb, H. N., Taha, M. A., & others. (2017). Monoallelic characteristic-bearing heterozygous L1053X in BRCA2 gene among Sudanese women with breast cancer. BMC Medical Genetics, 18(1), 85.

Hamid, O., Taha, M. A. O., Balla, S. A., & Hussien, A. (2013). Stigma of epilepsy among patients and their relatives attending charity clinic, Omdurman—Sudan. Journal of the Neurological Sciences, 333, e61–e62.

Hassan, A., El-Sayed, S., & Taha, M. (2012). Impact of a designed educational program on thyroidectomy patients’ discharge compliance instructions. Journal of American Science, 8(11), 1–3.

Taha, M., Li, Y., Morren, J., & Morren, J. A. (2023). Oxymetazoline hydrochloride eye-drops as treatment for myasthenia gravis-related ptosis: A description of two cases. Cureus, 15(3).

Yun Liu | Polymer weatherability | Research Excellence Award

Ms. Yun Liu | Polymer weatherability | Research Excellence Award 

Beihua University | China

Ms. Yun Liu is an emerging researcher specializing in wood protection, modification technologies, and the environmental durability of bio-based materials. His work centers on understanding the fundamental mechanisms that govern the degradation, transformation, and performance evolution of wood when exposed to natural weathering environments. With a strong academic foundation in materials and chemical engineering, his research contributes valuable scientific insights into the stabilization and performance enhancement of lignocellulosic materials, an area of increasing global relevance as industries move toward sustainable and renewable alternatives to synthetic materials. His primary research investigates the dynamic weathering behavior of heat-treated wood, emphasizing the interconnected pathways through which physical appearance, chemical composition, and microstructural features evolve under environmental stressors. One of his notable contributions is the systematic correlation of surface characteristics—such as color, gloss, and texture—with their underlying chemical transitions, including lignin decomposition, extractive migration, and the evolution of functional groups. This integrated approach advances the understanding of how thermal modification influences the degradation trajectory of lignin, demonstrating that heat treatment does more than slow the rate of degradation; it fundamentally alters the mechanism by which lignin breaks down. This discovery provides a scientific explanation for the enhanced color stability and early-stage weathering resistance observed in thermally modified woods. His published work in peer-reviewed international journals highlights a commitment to experimental rigor, employing advanced characterization techniques such as FTIR spectroscopy, SEM imaging, chromaticity analysis, and chemical component quantification. These methods enable detailed mapping of the relationship between environmental exposure and molecular-level changes, ultimately guiding the development of more robust, weather-resistant wooden materials. Beyond analyzing degradation mechanisms, his research proposes targeted modification strategies designed to enhance wood durability. These include optimizing heat-treatment conditions, protecting susceptible chemical domains, and designing surface treatments that mitigate photodegradation and moisture-induced deterioration. His contributions offer practical benefits for architectural materials, outdoor applications, sustainable construction, and eco-friendly product design. Collectively, his research advances scientific understanding of wood-weathering processes, supports the development of durable bio-based materials, and contributes to the broader goals of sustainable materials science. His work demonstrates both academic merit and real-world relevance, positioning him as a valuable contributor to ongoing innovations in wood science and environmental materials engineering.

 Profile: Orcid

Featured Publication

Liu, Y., Gao, C., Wang, Q., Hadili, B., Miao, Y., Cui, X., & Matsumura, J. (2025). Dynamic weathering behavior of heat-treated Chinese fir: Surface properties, chemical composition, and microstructure. Polymers, 17(23), 3143. https://doi.org/10.3390/polym17233143

Lei Xia | Chemistry and Materials Science | Research Excellence Award

Assoc Prof Dr. Lei Xia | Chemistry and Materials Science | Research Excellence Award

University of Science & Technology Liaoning | China

Dr. Lei Xia is an accomplished materials scientist and associate professor at the University of Science & Technology Liaoning, specializing in materials processing, tribology, corrosion protection, and computational simulation. He holds a PhD in Applied Chemistry from the Research Institute of Petroleum Processing, a Master’s degree in Materials Forming and Control Engineering from the University of Science and Technology Beijing, and a Bachelor’s degree from Yanshan University. Since joining USTL as a lecturer in 2019 and becoming associate professor in 2024, Dr. Xia has developed a strong research portfolio integrating experimental, theoretical, and simulation-based approaches to improve metal processing technologies. His major research areas include tribology and lubrication mechanisms in rolling processes, microstructure–property relationships in metallic materials, corrosion behavior and protective coatings, and molecular-level insights into lubricant oxidation and surface interactions using MD and QM simulations. Dr. Xia has completed and contributed to multiple national and enterprise-supported research projects, focusing on the improvement of steel, aluminum, and copper alloy processing performance. His scholarly contributions exceed 40 publications in high-impact SCI and EI journals, such as Lubricants, Metals, Materials Research Express, Tribology Letters, Rare Metal Materials and Engineering, and China Petroleum Processing & Petrochemical Technology. Many of his works investigate fatigue properties, lubricant chemistry, tribological behaviors, corrosion mechanisms, and the influence of process parameters on material performance. He has published two patents and numerous articles as corresponding or first author, demonstrating his leadership in research innovation. Dr. Xia’s contributions extend to several industrial collaborations with major enterprises such as Anshan Iron and Steel Group, Baowu Group, and Sinopec, where his work has directly supported advancements in rolling technology and surface quality control. His recognition includes selection for the prestigious Liaoning “Baiqianwan Talent Program” and the “Steel Capital Talent Plan.” Alongside his research, he serves on the youth editorial boards of multiple journals including Journal of Iron and Steel Research, Rolling Steel, Special Steel, Mechanical Engineering Newsletter, and Journal of Materials and Metallurgy. He is also an active member of professional societies such as the Chinese Mechanical Engineering Society, Chinese Materials Research Society, Chinese Chemical Society, and the China Nonferrous Metals Industry Association. Through interdisciplinary expertise, impactful publications, industrial collaborations, and major talent awards, Dr. Xia has made significant contributions to tribology, corrosion protection, and advanced materials processing, strengthening both academic research and industrial innovation.

Profile: Google Scholar

Featured Publications

Xia, L., Ma, Z., Kokogiannakis, G., Wang, Z., & Wang, S. (2018). A model-based design optimization strategy for ground source heat pump systems with integrated photovoltaic thermal collectors. Applied Energy, 214, 178–190. https://doi.org/10.1016/j.apenergy.2018.02.024

Ma, Z., Xia, L., Gong, X., Kokogiannakis, G., Wang, S., & Zhou, X. (2020). Recent advances and development in optimal design and control of ground source heat pump systems. Renewable and Sustainable Energy Reviews, 131, 110001. https://doi.org/10.1016/j.rser.2020.110001

Duong, H. C., Xia, L., Ma, Z., Cooper, P., Ela, W., & Nghiem, L. D. (2017). Assessing the performance of solar thermal driven membrane distillation for seawater desalination by computer simulation. Journal of Membrane Science, 542, 133–142. https://doi.org/10.1016/j.memsci.2017.08.019

Xia, L., Ma, Z., Kokogiannakis, G., Wang, S., & Gong, X. (2018). A model-based optimal control strategy for ground source heat pump systems with integrated solar photovoltaic thermal collectors. Applied Energy, 228, 1399–1412. https://doi.org/10.1016/j.apenergy.2018.06.017

Chen, J., Xia, L., Li, B., & Mmereki, D. (2015). Simulation and experimental analysis of optimal buried depth of the vertical U-tube ground heat exchanger for a ground-coupled heat pump system. Renewable Energy, 73, 46–54. https://doi.org/10.1016/j.renene.2014.06.055

Qi, D., Pu, L., Ma, Z., Xia, L., & Li, Y. (2019). Effects of ground heat exchangers with different connection configurations on the heating performance of GSHP systems. Geothermics, 80, 20–30. https://doi.org/10.1016/j.geothermics.2019.01.006

Xia, L., Ma, Z., McLauchlan, C., & Wang, S. (2017). Experimental investigation and control optimization of a ground source heat pump system. Applied Thermal Engineering, 127, 70–80. https://doi.org/10.1016/j.applthermaleng.2017.07.111

Gong, X., Xia, L., Ma, Z., Chen, G., & Wei, L. (2018). Investigation on the optimal cooling tower input capacity of a cooling tower assisted ground source heat pump system. Energy and Buildings, 174, 239–253. https://doi.org/10.1016/j.enbuild.2018.06.021