Abiodun Salawu | Communication | Research Excellence Award

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Prof. Abiodun Salawu | Communication | Research Excellence Award

Professor and Research Director | North West University | South Africa

Prof. Abiodun Salawu is a distinguished scholar in communication studies whose work has significantly shaped the fields of indigenous language media, journalism, and development communication across Africa. As a leading academic based at North West University, he directs a major research entity focused on Indigenous Language Media in Africa, demonstrating long standing commitment to promoting multilingualism, minority language preservation, and culturally grounded media practices. His research explores how language, media, and society intersect within complex sociopolitical contexts, and he has contributed extensively to scholarship on African language journalism, media sustainability, digital transformation, communication for development, and the political economy of media. A prolific academic mentor, he has supervised numerous doctoral, master’s, and postgraduate research projects across diverse areas such as health communication, political communication, media policy, social media studies, entertainment-education, and community broadcasting, thereby shaping a new generation of communication scholars across the continent. His leadership extends to major professional bodies in media and communication research, where he holds influential roles that support global scholarly exchange and minority language media advocacy. His professional experience spans academia, editorial leadership, journalism practice, and mentorship engagements, reflecting a deep integration of theory and practice. He has attracted significant research funding for pioneering projects related to African language media development, digital innovation, media sustainability, and community engagement. His scholarly output, academic service, and contributions to communication research continue to advance knowledge on how media can drive cultural vitality, democratic participation, and social transformation within multilingual African societies.

Profiles: Scopus | Orcid | Google Scholar

Featured Publication

Kimu, S. S. K., Mdoka, W. H., & Salawu, A. (2025). Accommodating multilingualism on religious national radio: The case of Radio Islam Malawi. In Reconceptualising multilingualism on African radio: Language and identity.

Adesina, E., & Salawu, A. (2025). Knowledge of breast cancer risk factors and preferred indigenous language information sources among women in Lagos, Nigeria. International Journal of Innovative Research and Scientific Studies.

Salawu, A. (2025). Press and politics: Contributions of Sol Plaatje to South African journalism. Journal of Asian and African Studies.

Minhas, S., & Salawu, A. (2025). Wikipedia and indigenous language preservation: Analysis of Setswana and Punjabi languages. Frontiers in Communication.

Adesina, E., Salawu, A., & Adeyeye, B. (2025). Bridging cultural gaps in health communication: Indigenous language as a catalyst for combatting monkeypox in Lagos, Nigeria. South African Journal of African Languages.

 

Wenchao Liu | Marketing | Research Excellence Award

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Prof. Dr. Wenchao Liu | Marketing | Research Excellence Award

Jilin University of Finance and Economics | China

Prof. Dr. Wenchao Liu is a distinguished scholar in marketing and management whose work integrates theoretical analysis with practical applications across areas such as consumer behavior, brand management, entrepreneurial management, regional branding, and service marketing. His research advances understanding of how enterprises create value through co-creation, social networks, customer experience, and digital transformation, and he has contributed significantly to the study of retailer power, investor decision-making psychology, entrepreneurial team competence, and the evolving relationship between customers and service enterprises. He has produced an extensive body of publications in reputable journals and has authored influential monographs that support academic development in marketing science. His scholarship also extends into contemporary topics such as artificial intelligence in services, anthropomorphic service robots, tourism experience analysis, regional brand value co-creation, and sustainable supply chain decision making, positioning him at the forefront of interdisciplinary marketing research. As an active contributor to national and regional research initiatives, he has led and participated in numerous funded projects spanning social sciences, technology guidance, higher education research, and industry-linked consulting, strengthening the integration of academic insights with socio-economic development. His long-standing involvement in management consulting further enhances the practical relevance of his work by bridging academic theory with real-world enterprise challenges. Prof. Liu also plays a key role in academic communities through leadership and membership in professional marketing associations, promoting research collaboration, disciplinary development, and academic exchange, while continuing to mentor emerging scholars and contribute to the advancement of marketing thought and practice.

Profile: Scopus | Orcid

Featured Publication

Han, Y., Liu, W., Han, Y., Cao, Z., & Ju, J. (2025). Decision making and welfare effects in manufacturer’s closed-loop supply chain for recycling and remanufacturing: A risk signal game theory perspective. Journal of Cleaner Production.

Liu, W., & Han, Y. (2024). Selecting the appropriate platform: The varied effects of service merchant marketing strategies on the performance of supply chain participants. Sustainability.

Liu, W., & Xin, X. (2008). A preliminary analysis of corporate culture construction based on social responsibility in enterprises. Modern Business, 75–77.

Li, J., & Liu, W. (2010). Derivative change: The “obstacle” to marketing change. Sales and Marketing (Review Edition), 51–53.

Zhang, Z., Zhu, H., & Liu, W. (2010). Research on the relationship between social network competence and entrepreneurial performance of entrepreneurial enterprises. Taxation and Economics, 25–28.

Chien-I Chang | Robotics | Research Excellence Award

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Mr. Chien-I Chang | Robotics | Research Excellence Award

National Chiayi University | Taiwan

Mr. Chien-I Chang is a robotics researcher whose work integrates intelligent systems, autonomous control, and applied computer science to advance next-generation robotic technologies. His research centers on designing adaptive robotic platforms capable of operating in dynamic, unstructured, or human-interactive environments, with a strong emphasis on sensor fusion, machine perception, and real-time decision-making. He has extensive experience developing autonomous navigation algorithms, robotic manipulation systems, and embedded architectures optimized for efficiency, stability, and scalability. His work bridges theoretical modeling with practical engineering, resulting in robotics solutions that are deployable across industrial, educational, and service-oriented settings. Through continuous exploration of mechatronic integration, computer vision, and learning-based control, he aims to enhance robot autonomy and expand practical use cases in daily life. His professional experience includes leading innovative robotics projects, mentoring teams in advanced robotic development, and transforming research outcomes into functional systems with societal impact. He is particularly interested in scalable and modular robotic designs that lower entry barriers for automation and support real-world problem solving. His research philosophy focuses on combining rigorous scientific inquiry with hands-on experimentation to accelerate the evolution of intelligent robotics. Through his academic pursuits and ongoing contributions to the robotics industry, he remains committed to advancing the performance, reliability, and accessibility of robotic technologies while fostering innovation that benefits education, industry, and broader communities.

Profile: Scopus

Featured Publication

Chang, C.-I., (2025). A low-cost autonomous outdoor robot with stabilized controller and deep-learning integrated GPS navigator under end-to-end implementation. Journal of the Chinese Institute of Engineers / Transactions of the Chinese Institute of Engineers, Series A. Advance online publication.

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).