Xianghong Huang | Bubble | Research Excellence Award

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Dr. Xianghong Huang | Bubble | Research Excellence Award

Jiangsu University of Science and Technology | China

Dr. Xianghong Huang is a dedicated researcher and academic specializing in naval architecture and ocean engineering with strong expertise in drillship hydrodynamics, bubble dynamics, and cross-media vehicle fluid mechanics. His work integrates experimental hydrodynamics, theoretical modeling, and applied engineering, contributing to the advancement of ship stability, liquid–structure interaction, and wave vessel coupling mechanisms. Dr. Huang has produced influential publications in leading international journals, demonstrating significant contributions to the understanding of moonpool resonance suppression, bubble behavior near elastic boundaries, and fluid-structure interactions affecting advanced marine systems. His research portfolio includes participation in high value national and provincial scientific projects involving bubble cluster interactions with boundary layers, cavitation bubble dynamics in confined ship liquid tanks, and similarity criteria for scaled water-entry experiments, supporting innovations in ship safety, impact-resistant design, and high-performance naval structures. He has also developed patented technologies addressing liquid sloshing mitigation, experimental bubble-flow simulation, streamlined coating methods, and structural connectors for ultra-large offshore floating platforms, reflecting his strong engagement in applied marine engineering innovation. His contributions to ship structure vibration analysis and cabin noise prediction technologies have been recognized through prestigious scientific awards from authoritative professional societies, highlighting the engineering relevance and societal value of his work. As an active reviewer for international journals and collaborator on major interdisciplinary research initiatives, Dr. Huang continues to advance the scientific understanding of complex hydrodynamic phenomena while supporting the development of next-generation marine engineering systems.

Profile: Scopus

Featured Publication

Huang, X. (n.d.). Semi-analytical modeling and vibration characteristics analysis of functionally graded materials plates on Winkler–Pasternak elastic foundations.

Kaiyao Wu | Energy Economics | Research Excellence Distinction Award

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Prof. Kaiyao Wu | Energy Economics | Research Excellence Distinction Award

Professor | Shanghai University of International Business and Economics | China

Prof. Kaiyao Wu is a distinguished scholar in statistics, sustainable development economics, and global value chain research, recognized for his extensive contributions to the quantitative analysis of international trade, energy systems, and digital economic transformation. His work integrates statistical modeling, network analysis, and data science to explore how global production systems, demographic transitions, and environmental governance shape economic development and enterprise behavior. Prof. Wu has authored more than forty peer-reviewed articles in high-impact journals, offering influential insights into embedded carbon flows, carbon neutrality strategies, energy efficiency measurement, ESG performance, global value chain positioning, and outward foreign investment dynamics. His interdisciplinary research bridges industrial economics, environmental accounting, and digitalization studies, with notable applications to enterprise decision-making, regional sustainability assessments, and international trade competitiveness. He has published multiple monographs and textbooks covering topics such as 3E (economy-energy-environment) coupling networks, enterprise data processing, and sustainable development accounting, which are widely used in academic and professional communities. In addition to his research achievements, Prof. Wu plays an active role in academic leadership as a member of several national expert committees, contributing to policy evaluation, statistical innovation, and digital-trade research. He also serves as a reviewer and evaluator for major national research programs, supporting the advancement of empirical methodologies and evidence-based policymaking. His teaching interests span enterprise data analytics, SAS-based statistical analysis, global value chain statistics, and applied market research, where he integrates rigorous quantitative approaches with real-world problem-solving to cultivate the next generation of data-driven professionals.

Profiles: Scopus | Orcid

Featured Publications

Duan, J., Li, Y., Shi, W., & Wu, K. (2025). Beyond the linear: Green technology innovation, moderators, and GVC upgrading. SSRN.

Du, L., Wei, M., & Wu, K. (2023). Information technology and firm’s green innovation: Evidence from China. Environmental Science and Pollution Research, 30.

Liu, H., Wu, K., & Zhou, Q. (2022). Whether and how ESG impacts corporate financial performance in the Yangtze River Delta of China. Sustainability, 14(24), 16584.

Wu, K., Chen, F., Anwar, S., & Liao, L. (2024). The impact of population aging on a country’s global value chain position: Unraveling the dynamics and mechanisms. Emerging Markets Finance and Trade, 60(3).

Wu, K., Sun, C., Zhang, J., & Duan, J. (2023). Carbon neutrality along the global value chain: An international embedded carbon network analysis. Environmental Science and Pollution Research, 30.

Kostas Stylianou | Nephrology | Research Excellence Award

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Assoc. Prof. Dr. Kostas Stylianou | Nephrology | Research Excellence Award

Nephrology Dept | Greece

Assoc. Prof. Dr. Kostas Stylianou is a clinician scientist in nephrology whose work integrates advanced clinical practice with translational research on complex kidney disorders. His academic and professional experience spans leadership in nephrology units, extensive involvement in multidisciplinary kidney care, and contributions to national and international scientific initiatives. His research focuses on the genetic and molecular mechanisms underlying familial and chronic kidney diseases of unclear origin, with particular emphasis on collagen IV nephropathies, Alport-related conditions, LCAT deficiency syndromes, and other inherited glomerular disorders. He has contributed significantly to the understanding of molecular pathways such as PI3K/AKT/mTOR signaling in autoimmune kidney disease and has advanced the study of cardiorenal interactions through clinical and biomarker-based investigations. His work includes detailed analysis of kidney biopsies using electron microscopy and integration of genomic and proteomic profiling to improve diagnostic precision. Dr. Stylianou participates in major collaborative projects addressing rare genetic nephropathies and contributes to multicentre clinical trials exploring novel therapeutic approaches in nephrology. He is widely recognized for his scientific output, editorial responsibilities, and reviewing activities across high-impact journals. His expertise is further reflected in the organization of national and international nephrology conferences and in his longstanding role in medical education, where he trains undergraduate students, postgraduate learners, and nephrology trainees. Through his combined clinical, research, and academic commitments, he has established a strong reputation in genetic kidney disease research, cardiorenal medicine, and evidence-based nephrology practice.

Profile: Google Scholar

Featured Publications

Singh, A. K., Carroll, K., Perkovic, V., Solomon, S., Jha, V., Johansen, K. L., Lopes, … & MMJJV. (2021). Daprodustat for the treatment of anemia in patients undergoing dialysis. NEJM Group, 385(25), 2325–2335.

Barratt, J., Lafayette, R., Kristensen, J., Stone, A., Cattran, D., Floege, J., Tesar, V., … & others. (2023). Results from part A of the multi-center, double-blind, randomized, placebo-controlled NefIgArd trial, which evaluated targeted-release formulation of budesonide for the treatment of IgA nephropathy. Kidney International, 103(2), 391–402.

Carrero, J. J., Kyriazis, J., Sonmez, A., Tzanakis, I., Qureshi, A. R., Stenvinkel, P., … & others. (2012). Prolactin levels, endothelial dysfunction, and the risk of cardiovascular events and mortality in patients with CKD. Clinical Journal of the American Society of Nephrology, 7(2), 207–215.

Fysaraki, M., Samonis, G., Valachis, A., Daphnis, E., Karageorgopoulos, D. E., … & others. (2013). Incidence, clinical, microbiological features and outcome of bloodstream infections in patients undergoing hemodialysis. International Journal of Medical Sciences, 10(12), 1632–1638.

Andrianaki, A. M., Kyrmizi, I., Thanopoulou, K., Baldin, C., Drakos, E., … & others. (2018). Iron restriction inside macrophages regulates pulmonary host defense against Rhizopus species. Nature Communications, 9(1), 3333.

Can Cogun | Production | Research Excellence Award

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Prof. Dr. Can Cogun | Production | Research Excellence Award

Researcher | Cankaya University | Turkey

Prof. Dr. Can Cogun is a distinguished mechanical engineering scholar whose work has significantly advanced machining science, unconventional manufacturing processes, and modern production systems. His research emphasizes electric discharge machining and other nontraditional methods, integrating fundamental understanding with practical industrial applications to improve precision, efficiency, and process reliability. He has contributed extensively to the field through more than a hundred publications in high-impact international journals and conferences, demonstrating strong influence within the global manufacturing research community, as reflected in his citation metrics and recognition of his scholarly impact. His professional experience spans major academic institutions, where he has held leading roles that strengthened engineering education, research capacity, and interdisciplinary collaboration. His leadership has shaped mechanical engineering programs, guided research institutes, and advanced innovation-oriented academic environments. Across his career, he has played key roles in developing academic strategies, promoting quality in engineering scholarship, and fostering the growth of advanced manufacturing research groups. His expertise bridges theoretical modeling, experimental analysis, and system-level manufacturing optimization, enabling contributions that support both scientific advancement and industrial progress.

Profiles: Scopus | Orcid

Featured Publications

Şimşek, Ü., Çoğun, C., & Esen, Z. (2022). Effects of electrolytic copper and copper alloy electrodes on machining performance in electrical discharge machining (EDM). Machining Science and Technology, Advance online publication.

Sarikavak, Y., Turkbas, O. S., & Çoğun, C. (2020). Influence of welding on microstructure and strength of rail steel. Construction and Building Materials, 118220.

Erdem, O., Çoğun, C., Uslan, İ., & Erbas, M. (2020). Thermo-fluid multi-physics modeling and experimental verification of volumetric workpiece material removal by a discharge pulse in electric discharge machining process. Journal of Physics D: Applied Physics, 53(—), Article ab9573.

Erdem, O., Çoğun, C., & Uslan, İ. (2019). Effect of machining on workpiece surface characteristics in electric discharge drilling (EDD). International Journal of Advances in Engineering and Pure Sciences.

Rona, N., Yenisey, M., Kucukturk, G., Gurun, H., Cogun, C., & Esen, Z. (2017). Effect of electrical discharge machining on dental Y-TZP ceramic-resin bonding. Journal of Prosthodontic Research, 61(2), 181–189.

Andrea Cynthia Santos | Operational research | Research Excellence Distinction Award

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Prof. Dr. Andrea Cynthia Santos | Operational research | Research Excellence Distinction Award

Le Havre Normandie University, Engineering Institute of Logistics (ISEL) | France

Prof. Dr. Andréa Cynthia Santos is a leading scholar in Computer Science whose research lies at the intersection of Operations Research, urban systems, and large-scale disaster management. Her work focuses on developing advanced optimization models, algorithms, and decision-support approaches that address complex sociotechnical challenges in industrial, natural, and health-related crisis scenarios. She is widely recognized for contributions to integrated routing, scheduling, robust optimization, network design, drone-based search strategies, and humanitarian logistics in post-disaster environments. Her research is characterized by strong interdisciplinary engagement, combining computational optimization, artificial intelligence, and systems engineering to improve resilience and sustainability in modern cities. She has produced a substantial body of scientific work, including numerous international journal articles, book chapters, and conference contributions, and has played a key role in organizing international scientific events. Beyond her research activity, she has demonstrated significant leadership in academic administration and scientific strategy, including directing major institutional programs, steering research initiatives, and contributing to national and international committees. She has led multiple research projects across national, regional, industrial, and international collaborations, supported by multidisciplinary teams. Her supervision of PhD candidates, postdoctoral researchers, and master’s students reflects her strong commitment to academic mentorship and capacity building. She has also served as an evaluator for global research organizations and participated in expert panels spanning science, technology, and innovation. Her professional experience includes roles in academic governance, digital transformation, international relations, curriculum development, and research program management, positioning her as an influential figure in the fields of operations research, logistics innovation, and sustainable urban systems.

Profiles: Scopus | Orcid

Featured Publications

Barbalho, T. J., Jiménez Laredo, J. L., & Santos, A. C. (2025). The resource-constrained project scheduling problem for risk reduction after industrial disasters involving dangerous substances. OR Spectrum. Advance online publication.

Coco, A. A., Duhamel, C., Santos, A. C., & Haddad, M. N. (2024). Solving the probabilistic drone routing problem: Searching for victims in the aftermath of disasters. Networks, (July 2024).

Duhamel, C., & Santos, A. C. (2024). The strong network orientation problem. International Transactions in Operational Research.

Haddad, M. N., Santos, A. C., Duhamel, C., & Coco, A. A. (2023). Intelligent drone swarms to search for victims in post-disaster areas. Sensors, 23(23), 9540.

De Freitas, C. C., Aloise, D. J., Fontes, F. F. C., Santos, A. C., & Menezes, M. S. (2023). A biased random-key genetic algorithm for the two-level hub location routing problem with directed tours. OR Spectrum, 45, 1–26.

Lei Shi | Cosmology | Young Researcher Award

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Mr. Lei Shi | Cosmology | Young Researcher Award

Associate Professor | Universite Le Havre Normandie | France

Mr. Lei Shi is an accomplished theoretical chemist whose work centers on quantum dynamics, molecular simulations, and the development of advanced computational frameworks for understanding fundamental processes in molecular physics. His research spans high-dimensional quantum simulations, atom surface scattering, hydrogen-bond dynamics in water clusters, and electron cation interactions relevant to cold plasma environments. He has contributed significantly to pushing the limits of realistic quantum simulations, notably achieving a landmark full-dimensional quantum dynamics study using an ab initio neural-network potential energy surface, enabling direct comparison with cutting-edge experimental data. His work integrates time-dependent quantum mechanical methods, machine-learning potential energy surfaces, and tensor decomposition techniques to explore complex dynamical behavior with exceptional accuracy. He has collaborated widely with leading groups in quantum dynamics, contributing to the refinement of potential energy surfaces, the implementation of multilayer multiconfiguration approaches, and the interpretation of spectroscopic signatures in molecular clusters. His publications highlight advances in canonical polyadic finite-basis representation, quantum and classical scattering dynamics, and quantum mechanical transport properties, earning recognition such as editor selections and journal cover features. His professional experience includes conducting and guiding computational research, mentoring doctoral researchers, and contributing to the molecular simulation community through active collaboration networks. Through his combined expertise in quantum theory, numerical modeling, and interdisciplinary scientific exchange, he has established himself as a rising scientist contributing impactful insights into molecular motion, energy transfer, and the quantum nature of matter.

Profiles: Orcid | Google Scholar

Featured Publications

Shi, L., Schröder, M., Meyer, H.-D., Peláez, D., Wodtke, A. M., Golibrzuch, K., Schönemann, A.-M., Kandratsenka, A., & Gatti, F. (2025). Full quantum dynamics study for H atom scattering from graphene. The Journal of Physical Chemistry A.

Bindech, O., Gatti, F., Mandal, S., Marquardt, R., Shi, L., & Tremblay, J. C. (2024). The mean square displacement of a ballistic quantum particle. Molecular Physics.

Shi, L., Schröder, M., Meyer, H.-D., Peláez, D., Wodtke, A. M., Golibrzuch, K., Schönemann, A.-M., Kandratsenka, A., & Gatti, F. (2024). Erratum: “Quantum and classical molecular dynamics for H atom scattering from graphene” [J. Chem. Phys. 159, 194102 (2023)]. The Journal of Chemical Physics.

Shi, L., Schröder, M., Meyer, H.-D., Peláez, D., Wodtke, A. M., Golibrzuch, K., Schönemann, A.-M., Kandratsenka, A., & Gatti, F. (2023). Quantum and classical molecular dynamics for H atom scattering from graphene. The Journal of Chemical Physics, 159, 194102.

Nadoveza, N., Panadés-Barrueta, R. L., Shi, L., Gatti, F., & Peláez, D. (2023). Analytical high-dimensional operators in canonical polyadic finite basis representation (CP-FBR). The Journal of Chemical Physics, 158, (publication date: 2023-03-21).

Quan Zhang | Pharmaceutics | Research Excellence Award

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Dr. Quan Zhang | Pharmaceutics | Research Excellence Award

Chengdu Medical College | China

Dr. Quan Zhang is an accomplished pharmaceutical scientist recognized for his contributions to targeted drug delivery and drugability optimization. His research focuses on developing advanced delivery platforms for tumor immunotherapy, brain disorders, and arthritis, along with improving the pharmacokinetic and therapeutic profiles of polyphenolic compounds and traditional Chinese medicine formulations. He has led numerous competitive research projects, including national-level grants and industry collaborations, and has played a key role in advancing both basic and applied pharmaceutical studies. His work has resulted in a substantial body of high-impact publications, several invention patents, and contributions to academic textbooks. Dr. Zhang has made notable advances in biomimetic nanomedicine, tumor microenvironment–responsive therapeutics, and innovative formulations for alcohol intoxication management, including the discovery of novel active compounds and the development of commercial health products. His research outcomes have influenced the fields of cancer therapy, neurodegenerative disease treatment, and anti-inflammatory drug strategies, integrating molecular design with translational pharmaceutical technology. He has been recognized through talent programs and scientific awards, reflecting his leadership in pharmaceutics and his impact on interdisciplinary drug research.

Profile: Scopus

Featured Publications

Zhang, Q., et al. (2024). Current advances in biomimetic drug delivery system for targeted therapy of rheumatoid arthritis. Acta Pharmaceutica Sinica B.

Zhang, Q., et al. (2024). Co-delivery nanoparticle targeting CAF for simultaneous activating T cell plus NK cell attack in solid tumor. Journal of Controlled Release.

Deng, C., Zhang, Q., Jia, M., Zhao, J., Sun, X., Gong, T., & Zhang, Z. (2019). Tumors and their microenvironment dual-targeting chemotherapy with local immune adjuvant therapy for effective antitumor immunity against breast cancer. Advanced Science, 6, 1801868.

Deng, C., Zhang, Q., He, P., Zhou, B., He, K., Sun, X., Lei, G., Gong, T., & Zhang, Z. (2021). Targeted apoptosis of macrophages and osteoclasts in arthritic joints is effective against advanced inflammatory arthritis. Nature Communications, 12, 2174.

Mao, J., Liu, X., Zhang, L., Chen, Y., Zhou, S., Liu, Y., Ye, J., Xu, X., & Zhang, Q. (2024). Self-nanoemulsifying drug delivery system of morin: A new approach for combating acute alcohol intoxication. International Journal of Nanomedicine, 19, 10569–10588.

Mozhgan Sepahvandian | Computational Chemistry | Best Researcher Award

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Dr. Mozhgan Sepahvandian | Computational Chemistry | Best Researcher Award

Iranian | Iran

Dr. Mozhgan Sepahvandian is a dedicated researcher in inorganic chemistry, contributing to the advancement of materials science through innovative approaches in synthesis, characterization, and application-driven design of inorganic compounds. Her scientific focus spans functional materials, catalytic systems, coordination chemistry, and metal-based structures with potential relevance across energy, environmental, and biomedical domains. She has completed numerous research projects demonstrating strong analytical insight, experimental precision, and a commitment to solving complex chemical challenges. Her publication record includes contributions to peer-reviewed journals indexed in leading scientific databases, reflecting the relevance and impact of her findings within the research community. With active involvement in multiple collaborative scientific initiatives, Dr. Sepahvandian integrates interdisciplinary perspectives into her work, enhancing the applicability of her research outcomes. She has contributed to scientific knowledge through studies exploring structural behavior, reactivity patterns, and advanced material performance, supporting the development of sustainable and efficient chemical solutions. Her engagement in scholarly activities includes reviewing literature, participating in knowledge-exchange platforms, and interacting with researchers across diverse domains. She maintains a strong interest in exploring new inorganic frameworks, optimizing synthesis pathways, and extending the utility of inorganic materials toward emerging technological needs. Her research contributions reflect a clear commitment to scientific excellence, innovation, and the continuous expansion of chemical knowledge, positioning her as a promising and impactful scientist in her field.

Profile: Orcid

Featured Publications

Sepahvandian, M., & Zabardasti, A. (2025). Computational study of dacarbazine–amino acid interactions. Journal of Biomolecular Structure and Dynamics.

Sepahvandian, M., & Zabardasti, A. (2025). Exploring limonene adsorption on magnesium and selenium doped AlP nanosheets: A DFT study. Computational Condensed Matter, 33, e01094.

Sepahvandian, M., Abd Al-Aama, Z. M., Al-Masoudi, H. Q., & Zabardasti, A. (2025). Theoretical investigation of optical properties of adducts of Aun and Cun (n = 1–3) with free base porphyrins. Bulletin of the Chemical Society of Ethiopia, 39(9).

Katarzyna Blochowiak | Temporomandibular Joints | Most Shared Article Award

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Assoc. Prof. Dr. Katarzyna Blochowiak | Temporomandibular Joints | Most Shared Article Award

Poznan University of Medical Sciences | Poland

Assoc. Prof. Dr. Katarzyna Blochowiak is a dental surgeon and periodontology specialist whose research focuses on the diagnostic and clinical significance of salivary biomarkers, particularly in relation to oral and systemic autoimmune conditions. Her work explores the etiology and diagnostic pathways of Sjögren’s syndrome, xerostomia, and other salivary gland disorders, with a strong emphasis on understanding the immunological and functional mechanisms underlying dry mouth, salivary dysfunction, and inflammatory oral diseases. She contributes to advancing minimally invasive diagnostic methods by examining saliva as a non-invasive biological medium for early disease detection and monitoring. Her research extends to the surgical management of oral conditions, integrating clinical expertise with translational approaches that link oral pathology to systemic health. She has authored studies on temporomandibular disorders in patients with autoimmune conditions, the coexistence of xerostomia and focal lymphocytic sialadenitis in Sjögren’s syndrome, and complex diagnostic challenges such as Miescher’s cheilitis. Her work highlights the interplay between oral mucosal diseases, salivary gland dysfunction, and autoimmune processes, contributing to improved diagnostic accuracy, patient outcomes, and interdisciplinary understanding between dentistry, rheumatology, and immunology. In addition to her research contributions, she has served as a peer reviewer for international journals, reflecting her active engagement in scholarly evaluation and scientific quality assurance across her field.

Profiles: Scopus | Orcid

Featured Publications

Wydra-Karbarz, A., Guzera, Z., Batko, B., Moskal, M., & Błochowiak, K. (2025). Temporomandibular disorders in patients with rheumatoid arthritis. Journal of Clinical Medicine, 14(20), 7381.

Błochowiak, K., Kraiz, A., Bowszyc-Dmochowska, M., Paszyńska, E., & Jenerowicz, D. (2025). Miescher’s cheilitis as a diagnostic and therapeutic challenge—A case report. Medicina, 61(2), 299.

Błochowiak, K. (2024). Co-existence of dry mouth, xerostomia, and focal lymphocytic sialadenitis in patients with Sjögren’s syndrome. Applied Sciences, 14(13), 5451.