Elaheh Keshavarz | Acquired Communication Disorders | Best Researcher Award

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Ms. Elaheh Keshavarz | Acquired Communication Disorders | Best Researcher Award

University of Manitoba | Canada

Elaheh Keshavarz is a rehabilitation sciences professional whose academic and clinical work focuses on communication disabilities, financial inclusion, and accessible service delivery. She completed her M.Sc. in Rehabilitation Sciences at the University of Manitoba with a strong research profile, building on her B.Sc. training in Speech-Language Pathology. Her graduate work examined the experiences of adults with post-stroke communication disabilities in financial environments, contributing meaningful insights into inclusion and accessibility, while her earlier research explored speech rate variations across age groups. She has published in respected journals such as the Archives of Physical Medicine and Rehabilitation and the Journal of Communication Disorders. With extensive experience as a Speech-Language Pathologist across clinical, educational, and community settings in Canada and Iran, she has supported children and adults with diverse developmental and acquired communication needs. Her roles have also included research assistantships and positions in child development centres, reflecting a commitment to interdisciplinary care. She has earned multiple academic scholarships recognizing her excellence and research potential. Her interests span communication accessibility, brain injury, financial literacy, and evidence-based rehabilitation. She remains dedicated to advancing inclusive practices and contributing to research that improves participation and quality of life for individuals with communication challenges.

Profile : Scopus

Featured Publication

Should You Tell Others That You Live With Brain Injury? Things to Consider About Brain Injury and Disclosure, 2025

Abdulmalik Adamu | Vehicle Aerodynamics | Excellence in Research

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Mr. Abdulmalik Adamu | Vehicle Aerodynamics | Excellence in Research 

Central south university | China

Mr. Abdulmalik Adamu is a dedicated and highly motivated Masters student in Transportation Engineering at Central South University (CSU), China, with a strong academic foundation in both mechanical engineering and transportation equipment and control engineering. Holding dual bachelor’s degrees from Ahmadu Bello University, Nigeria, and CSU, China, he has consistently demonstrated exceptional academic performance, achieving a CGPA of 4.56/5.00 in mechanical engineering and 3.7/4.00 in transportation equipment and control engineering. His academic journey reflects a deep commitment to understanding vehicle operation and railway systems, culminating in a current MSc thesis focused on “Flow Control for Drag Reduction on Bogie Regions of a High-Speed Train,” which addresses critical aerodynamic challenges in modern rail transport. Abdulmalik has gained practical experience through internships and apprenticeships, including his tenure at Dangote Cement Industry, Nigeria, and Onuche and Sons Welding and Fabrication, where he developed hands-on skills in mechanical systems, fabrication, and operational management. At CSU, he is actively involved in research at the Key Laboratory of Traffic Safety on Track under the Ministry of Education, contributing to several high-impact publications. Notably, he has published work on the aerodynamic performance of high-speed trains, with additional papers accepted for numerical investigations of inter-carriage gap configurations and the influence of windshield design and train length on train aerodynamics. These contributions demonstrate his proficiency in numerical simulations, computer-aided design, and analytical problem-solving. In addition to technical expertise, Abdulmalik possesses strong communication and presentation skills, complemented by practical experience in welding, fabrication, and research development. His engagement in international training programs and conferences, such as the COTA International Conference of Transportation Professionals and the Fifth International Conference on Railway Technology in France, highlights his commitment to continuous learning and global collaboration. Fluent in English, Hausa, and Igala, with limited working proficiency in Chinese, he combines cultural adaptability with professional versatility. Driven by curiosity and a desire to contribute to innovative solutions in transportation, Abdulmalik is passionate about programming, numerical simulations, and technological innovation. He thrives on challenges and consistently seeks opportunities to enhance his skills and knowledge, making him a promising researcher and engineer in the field of transportation systems and high-speed railway technologies. His dedication, integrity, and innovative mindset position him to make meaningful contributions to both academic research and practical engineering solutions globally.

Profile: Orcid

Featured Publications

Adamu, A., Zhang, J., Melaku, T. G., & Tebeje, G. D. (2026). Impact of incoming flow on wake asymmetry of a simplified vehicle: The Reynolds number effect. Journal of Wind Engineering and Industrial Aerodynamics. Advance online publication. https://doi.org/10.1016/j.jweia.2025.106291

Zhang, J., Melaku, T. G., & Adamu, A. (2025). A numerical investigation on the effect of length on wake flow asymmetry of a simplified heavy vehicle. Physics of Fluids. Advance online publication. https://doi.org/10.1063/5.0269804

Adamu, A., Zhang, J., & Tajudeen, H. (2025). Aerodynamic drag reduction of a high-speed train with cavities on bogie regions. Physics of Fluids. Advance online publication. https://doi.org/10.1063/5.0271382

Adamu, A., He, K., Krajnović, S., & Zhang, J. (2024). An investigation of superstructure length on bi-stable ship wake flow. Ocean Engineering, 277, 119083. https://doi.org/10.1016/j.oceaneng.2024.119083

Zhang, J., Adamu, A., Gidado, F., Tang, M., Ozer, O., & Chen, X. (2023). Flow control for aerodynamic drag reduction of a high-speed train with diversion slots on bogie regions. Physics of Fluids, 35(11), 117251. https://doi.org/10.1063/5.0172533

Zhang, J., Gidado, F., Adamu, A., He, K., Krajnović, S., & Gao, G. (2023). Assessment of URANS, SAS, and IDDES on the bi-stable wake flow of a generic ship. Ocean Engineering, 271, 115625. https://doi.org/10.1016/j.oceaneng.2023.115625

 

Mauro Gallegati | computational economics | Best Researcher Award

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Prof. Mauro Gallegati | computational economics | Best Researcher Award

Università Politecnica delle Marche | Italy

Mauro Gallegati is an influential economist internationally recognized for his contributions to complexity economics, agent-based modeling, and financial instability analysis. He serves as a Full Professor at the Università Politecnica delle Marche, building on earlier academic appointments at the Universities of Teramo, Pescara, and Urbino. His academic foundation includes a Laurea in Political Science and a PhD in Economics under the supervision of Hyman Minsky, shaping his long-standing interest in credit dynamics, business fluctuations, and systemic risk. Over the course of his career, he has held numerous visiting positions at leading global institutions, including Cambridge, Stanford, MIT, Columbia, Kyoto, ETH Zurich, Santa Fe Institute, and the Bank of International Settlements, reflecting the international demand for his expertise. His research encompasses econophysics, income distribution, macroeconomic network models, credit propagation, and financial fragility, resulting in widely cited publications and collaborations with scholars such as Stiglitz, Battiston, and Greenwald. He has coordinated major European research projects, contributed to editorial leadership across multiple journals and book series, and received notable distinctions including the JEBO Best Paper Prize, the WEHIA Prize, DOSI Prize, KNAPP Prize, and Presidential Medals. He continues to advance interdisciplinary economic research and the development of agent-based methodologies for understanding complex economic systems.

Profile : Google Scholar

Featured Publication

Battiston, S., Gatti, D.D., Gallegati, M., Greenwald, B., & Stiglitz, J.E. (2012). “Liaisons dangereuses: Increasing connectivity, risk sharing, and systemic risk” in Journal of Economic Dynamics and Control, 36(8), 1121–1141.

Caiani, A., Godin, A., Caverzasi, E., Gallegati, M., Kinsella, S., & Stiglitz, J.E. (2016). “Agent based-stock flow consistent macroeconomics: Towards a benchmark model” in Journal of Economic Dynamics and Control, 69, 375–408.

Gatti, D.D., Di Guilmi, C., Gaffeo, E., Giulioni, G., Gallegati, M., & Palestrini, A. (2005). “A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility” in Journal of Economic Behavior & Organization, 56(4), 489–512.

Battiston, S., Gatti, D.D., Gallegati, M., Greenwald, B., & Stiglitz, J.E. (2007). “Credit chains and bankruptcy propagation in production networks” in Journal of Economic Dynamics and Control, 31(6), 2061–2084.

Tola, V., Lillo, F., Gallegati, M., & Mantegna, R.N. (2008). “Cluster analysis for portfolio optimization” in Journal of Economic Dynamics and Control, 32(1), 235–258.

Yingmin Chen | Agricultural Engineering | Research Excellence Award

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Assoc Prof Dr. Yingmin Chen | Agricultural Engineering | Research Excellence Award 

Shanxi Agricultural University | China

Associate Professor Yingmin Chen is an accomplished researcher specializing in postharvest engineering, heat and mass transfer, and computational fluid dynamics (CFD) applications in agricultural product cooling systems. He holds a strong academic background that spans physics, optoelectronic materials, and agricultural engineering. Dr. Chen completed his Bachelor’s degree (2010–2014) in Physics and Electronics Science at Hunan University of Science and Technology, followed by a Master’s degree (2014–2016) at the Institute of Optoelectronic Materials and Technology, South China Normal University. His academic journey culminated in a Ph.D. (2018–2021) at the College of Agricultural Engineering, Shanxi Agricultural University, where he developed deep expertise in airflow dynamics, cooling modeling, and fruit storage engineering. Dr. Chen currently serves as an Associate Professor and is the recipient of the Shanxi Provincial Basic Research Program – Young Scientist Research Project (Jan 2023–Dec 2025) for his pioneering study titled “Study on Heat and Mass Transfer Process During Forced-Air Cooling of Peaches Based on Fluid-Structure Interaction Simulation.” His project focuses on understanding and optimizing the forced-air cooling process of peaches, integrating CFD techniques and fluid–structure interaction models to enhance cooling efficiency, quality preservation, and energy consumption in postharvest handling. He has produced a series of influential publications in high-quality journals, contributing significantly to the field of fruit cooling technologies. His works include a comprehensive analysis of air-flow velocity on peach precooling efficiency using CFD, published in the International Food Research Journal (2022); simulation and model verification of forced-air cooling under varying air supply temperatures, published in INMATEH – Agricultural Engineering (2021); and a detailed sensitivity analysis of heat and mass transfer characteristics under different air-inflow velocities, featured in Food Science & Nutrition (2020). His more recent publications, such as his 2024 and 2025 papers in Food Science, investigate ventilation modes and differential pressure precooling efficiency for packaged and layered peaches, advancing theoretical understanding and practical solutions for postharvest cooling systems. Through his multidisciplinary training and growing research impact, Associate Professor Chen has established himself as a leading young scholar in agricultural product cooling technology. His work supports improvements in supply chain efficiency, fruit quality preservation, and sustainable postharvest engineering practices. He continues to integrate advanced simulation technologies and practical engineering design to address real-world challenges in agricultural logistics and cold-chain management.

Profile: Orcid

Featured Publications

Chen, Y. (2024). Effect of vent mode on the differential pressure pre-cooling efficiency of layered peaches. Food Science, 45(3), 150–158.

Chen, Y., Song, H., & Su, Q. (2022). Multi-parameter analysis of air flow velocity on peach precooling efficiency using CFD. International Food Research Journal, 29(2), 456–465. https://doi.org/10.47836/ifrj.29.2.22

Chen, Y., Song, H., & Su, Q. (2021). CFD-based simulation and model verification of peaches forced air cooling on different air supply temperatures. INMATEH – Agricultural Engineering, 63(1), 61–72. https://doi.org/10.35633/inmateh-63-06

Chen, Y., Song, H., Chen, Z., Zhao, R., Su, Q., Jin, P., Sun, Y., & Wang, H. (2020). Sensitivity analysis of heat and mass transfer characteristics during forced-air cooling process of peaches on different air-inflow velocities. Food Science & Nutrition, 8(12), 6592–6602. https://doi.org/10.1002/fsn3.1951

Friday Benedict | Predictive Analytics | Worldwide Research and Innovation Data Excellence Award

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Mr. Friday Benedict | Predictive Analytics | Worldwide Research and Innovation Data Excellence Award

Ahmadu Bello University, Zaria | Nigeria

Benedict Friday is a dedicated chemist and educator whose academic and professional journey reflects a strong commitment to scientific advancement, teaching excellence, and community impact. He is currently pursuing a Master of Science degree in Physical Chemistry at Ahmadu Bello University, Zaria, where he also completed a Professional Diploma in Education after earning a Bachelor of Science in Chemistry with Second Class Upper Division from the Federal University of Agriculture, Makurdi. His experience spans teaching roles at secondary schools and part-time laboratory demonstration at the university level, where he supports undergraduate practical sessions in Chemistry. Beyond academia, he has gained administrative and organizational experience working as a Fleet Officer in the transport division of a major cement company, as well as field experience in telecommunications marketing and water treatment laboratory operations. His research interests include physical chemistry, environmental chemistry, water quality analysis, and material science. Known for teamwork, communication skills, creativity, and leadership, he continues to develop professionally through teaching, research, and community engagement. He remains committed to contributing innovative solutions to scientific and educational challenges while advancing knowledge in the chemical sciences.

Profile : Orcid

Featured Publication

Design and screening of novel geniposide derivatives as xanthine oxidase inhibitors for hyperuricemia treatment using QSAR, Molecular docking, Molecular dynamics simulation, ADMET, and DFT Approaches, 2025.

Limin Xiao | Healthcare and Transformative Tourism | Research Excellence Award

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Ms. Limin Xiao | Healthcare and Transformative Tourism | Research Excellence Award

Sun Yat-sen University | China

Limin Xiao is a dedicated and emerging scholar in tourism management, currently serving as a visiting Ph.D. student funded by the prestigious China Scholarship Council (CSC). She is pursuing her doctoral studies at the School of Business, Sun Yat-sen University—one of China’s leading institutions under Project 985—where she specializes in tourism management with a focus on transformative experiences and AI service applications in tourism. Born in Wuhan in December 1999, Limin has built a strong interdisciplinary academic foundation that integrates business administration, English studies, and tourism research. She completed her dual bachelor’s degrees in English and Business Administration at the School of Foreign Languages, China University of Geosciences (Project 211), where she ranked first in her school with a GPA of 4.13/5.0 and earned direct admission to postgraduate study. Limin’s research trajectory is marked by a deep interest in how tourists experience transformation, particularly within cultural, wellness, and digitally empowered tourism contexts. She has contributed to several high-quality publications, including an accepted paper in Tourism Management Perspectives and ongoing submissions to Tourism Tribune and the International Journal of Contemporary Hospitality Management. Her early research in translation studies has also appeared in Overseas English. Limin has presented her work at major academic conferences such as MTCON’23 in Istanbul, APMA 2023 in Guangzhou, the China Marketing Science Conference, and the China Tourism Research Annual Conference. Her scholarship demonstrates a robust theoretical grounding, drawing from self-expansion theory, liminality, embodiment cognition, and narrative persuasion models. She is simultaneously advancing multiple working papers that examine topics such as cultural tourism employees’ self-expansion, immersive digital-empowered tourism, and AI-driven storytelling for cultural identity formation. Her academic excellence has been consistently recognized through numerous national and international awards, including the highly competitive National Scholarship (top 0.2%), Meritorious Winner in the Mathematical Contest in Modeling (top 8%), first prizes in multiple national English competitions, and a professional qualification in translation (CATTI Level 3). She has also received honors for research innovation and academic presentation, including the Outstanding Final Report Award from the Ministry of Education and the Outstanding Paper Award at the 2024 Annual Forum on Frontiers of Tourism Research. With strong analytical skills, interdisciplinary training, and growing expertise in transformative tourism and AI-enabled visitor engagement, Limin Xiao represents a promising young researcher contributing innovative insights to the global tourism scholarship community.

Profile: Scopus

Featured Publications

Han, X., Zheng, Y., Wu, J. (Snow), & Xiao, L. (2025). Transformative value in cultural tourism: Scale development and its impact on tourist eudaimonic well-being. Tourism Management Perspectives. (Accepted February 2025)

Han, X., Zheng, Y., & Xiao, L. (n.d.). The effect of tourists’ initiative in wellness tourism on perceived transformation: From a perspective of transformative tourism. Tourism Tribune. (Second round of review)

Han, X., Liu, H., Xiao, L., & Zheng, Y. (n.d.). More innovative, more popular? The effect of amenity innovation on customers’ booking intentions in P2P accommodation. International Journal of Contemporary Hospitality Management. (Awaiting review)

Xiao, L. (2020). The translation of tourist attraction descriptions from the perspective of eco-translatology: A case study of the Hubei Provincial Museum. Overseas English, 2020(6), 65–66.

Zitong Gao | Big data Integration | Research Excellence Award

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Ms. Zitong Gao | Big data Integration | Research Excellence Award

Dalian University | China

Ms. Zitong Gao is a dedicated nursing graduate student specializing in quantitative research methodologies within the field of chronic disease management. Building on a Bachelor of Science in Nursing and currently pursuing a Master of Science in Nursing at Dalian University, she has developed a strong academic foundation in nursing theories, advanced health assessment, geriatric nursing, and evidence-based practice. Her research experience includes participating in quantitative studies, collecting and analyzing data, and contributing to the development of academic manuscripts. In addition to her research background, she completed a comprehensive clinical internship at a university-affiliated hospital, where she gained hands-on experience in internal medicine, surgery, and holistic patient care through assessment, care planning, implementation, and evaluation. Skilled in statistical software such as SPSS, Mplus, Excel, and Stata, she integrates data-driven approaches into her research work. Her professional interests focus on improving patient outcomes, chronic disease self-management, gerontological nursing, and advancing nursing practice through rigorous quantitative inquiry. She has earned her nurse qualification certificate, demonstrating a solid commitment to professional standards in clinical care. With a strong blend of academic training, research competence, and clinical experience, she aims to contribute meaningfully to nursing science and patient-centered healthcare advancements.

Profile : Orcid

Featured Publication

Latent transition of social participation and its relationship with frailty among older adults with chronic non-communicable diseases in China: A national longitudinal study, 2025

Myeong-Ho Yeo | Environmental Data Analysis | Research Excellence Award

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Assoc. Prof. Dr. Myeong-Ho Yeo | Environmental Data Analysis | Research Excellence Award

University of Guam | Guam

Dr. Chris (Myeong-Ho) Yeo is a tenured Associate Professor of Water Engineering and Hydrology and Chair of the Environmental Science Graduate Program at the University of Guam. He holds a Ph.D. in Civil Engineering and Applied Mechanics from McGill University, and M.S. and B.S. degrees in Environmental Engineering from Chungnam National University. His research focuses on water quality monitoring and modeling, stormwater and flood management, climate change adaptation and mitigation, and the fate and transport of land-based pollutants, particularly in coastal and island ecosystems. Dr. Yeo has extensive experience developing computational fluid dynamics (CFD) models, statistical downscaling, stochastic rainfall modeling, and integrated watershed management tools. He has led numerous research projects for agencies including USGS, NASA, FEMA, and the Department of Defense, contributing to long-term monitoring of coral reef and freshwater resources across Guam, CNMI, and FSM. He is recognized for his scientific leadership, earning the Triton Faculty of the Year Award and holding Professional Engineer licensure in Environmental Engineering. His work integrates applied research with community resilience, sustainable water management, and climate-informed decision-making. Through his scholarship, teaching, and service, Dr. Yeo advances the understanding and management of water resources under climate variability, supporting sustainable environmental planning and the protection of coastal and freshwater systems in the Pacific region.

Profile : Orcid

Featured Publications

Yeo, M.-H., Kim, Y.S., Houk, P., Chang, A., & Lugwid, A. (2026). Ridge-to-reef linkages in Apra Harbor, Guam describe spatial and temporal variation in water quality and coral reef assemblages. Marine Pollution Bulletin.

Yeo, M.-H., Patil, U.D., Chang, A., & King, R. (2023). Changing Trends in Temperatures and Rainfalls in the Western Pacific: Guam. Climate.

Yeo, M.-H., Nguyen, V.-T.-V., Kim, Y.S., & Kpodonu, T.A. (2022). An Integrated Extreme Rainfall Modeling Tool (SDExtreme) for Climate Change Impacts and Adaptation. Water Resources Management.

Yeo, M.-H., Pangelinan, J., & King, R. (2022). Identifying Characteristics of Guam’s Extreme Rainfalls Prior to Climate Change Assessment. Water.

Yeo, M.-H. (corresponding author), et al. (2021). Application of a SWAT Model for Supporting a Ridge-to-Reef Framework in the Pago Watershed in Guam. Water, 13(23), 3351.

Xiaoxia Yu | Data Analysis Innovation |  Best Scholar Award  

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Mr. Xiaoxia Yu | Data Analysis Innovation |  Best Scholar Award  

Chongqing University of Technology | China

Dr. Xiaoxia Yu is a scholar in mechanical engineering whose work advances intelligent diagnostics and predictive maintenance for large-scale rotating machinery, particularly wind turbines. With a Ph.D. in Mechanical Engineering and earlier degrees in Vehicle Engineering and Armored Vehicle Engineering, she has built a strong interdisciplinary foundation that integrates mechanical systems knowledge with advanced computational modeling. Her research spans fault diagnosis, health assessment, digital twin systems, graph neural networks, reinforcement learning, and signal processing, supported by a growing publication record that includes 29 documents, 477 citations by 448 documents, and an h-index of 7. As a Lecturer, she leads research projects funded by regional scientific agencies and has contributed to national-level R&D initiatives related to machinery health management. Her work appears in high-impact journals, and she has secured patents focused on structural health monitoring, image recognition, and intelligent fault detection. Recognized with competitive grants and academic honors, she continues to influence the fields of renewable energy reliability and smart manufacturing. Through her commitment to innovation, research leadership, and engineering application, she is emerging as a key contributor to the development of intelligent, data-driven mechanical health monitoring systems.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Yu, X., Tang, B., & Zhang, K. (2021). Fault Diagnosis of Wind Turbine Gearbox Using a Novel Method of Fast Deep Graph Convolutional Networks. IEEE Transactions on Instrumentation and Measurement, 70, 1–14.

Yu, X., Tang, B., & Deng, L. (2023). Fault Diagnosis of Rotating Machinery Based on Graph Weighted Reinforcement Networks Under Small Samples and Strong Noise. Mechanical Systems and Signal Processing, 186, 109848.

Zhang, K., Tang, B., Deng, L., & Yu, X. (2021). Fault Detection of Wind Turbines by Subspace Reconstruction‑Based Robust Kernel Principal Component Analysis. IEEE Transactions on Instrumentation and Measurement, 70, 1–11.

Li, B., Tang, B., Deng, L., & Yu, X. (2020). Multiscale Dynamic Fusion Prototypical Cluster Network for Fault Diagnosis of Planetary Gearbox Under Few Labeled Samples. Computers in Industry, 123, 103331.

Xiong, P., Tang, B., Deng, L., Zhao, M., & Yu, X. (2021). Multi‑block Domain Adaptation with Central Moment Discrepancy for Fault Diagnosis. Measurement, 169, 108516.

Umme Habiba | Machine Learning and AI Applications | Research Excellence Award

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Mrs. Umme Habiba | Machine Learning and AI Applications | Research Excellence Award

North Dakota State University(NDSU) | United States

Umme Habiba is a dedicated researcher and educator in computer science whose work centers on machine learning, deep learning, transformer-based architectures, explainable AI, and swarm intelligence, particularly within medical data analysis. She is pursuing her Ph.D. and M.Sc. in Computer Science at North Dakota State University, where she has gained extensive teaching experience as an instructor of record and graduate teaching assistant across several undergraduate courses. Her research contributions span clinical text mining, medical risk prediction, brain–computer interface modeling, IoT security, and usability analysis of mHealth applications, with publications in reputable international journals. She has also collaborated on projects involving mobile sensor–based spatial analysis, voice-controlled IoT automation systems, and hybrid ML models for network intrusion detection. Her academic journey began with a bachelor’s degree in Computer Science and Engineering, where she developed a strong foundation in data-driven system design and intelligent applications. She has received consistently high teaching evaluations and has demonstrated a commitment to interdisciplinary research and student learning. Her long-term goal is to contribute impactful solutions at the intersection of artificial intelligence and healthcare while advancing as both a researcher and an educator.

Profile : Orcid

Featured Publication

PSO-optimized TabTransformer architecture with feature engineering for enhanced cervical cancer risk prediction, 2026