Zhifeng Chen | Biomedical Engineering | Excellence in Innovation Award

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Dr. Zhifeng Chen | Biomedical Engineering | Excellence in Innovation Award 

Neusoft Medical Systems Co. Ltd | Australia

Zhifeng Chen, Ph.D., is an accomplished biomedical imaging scientist whose multidisciplinary career spans advanced MRI physics, deep learning–driven neuroimaging, quantitative MRI, and accelerated data acquisition methodologies. With a strong academic foundation from Zhejiang University and extensive postdoctoral training at premier institutions including Harvard Medical School, Massachusetts General Hospital, the University of Southern California, and Monash University he has developed a robust research portfolio focused on rapid, motion-resistant, and high-fidelity MRI techniques. Dr. Chen has made notable contributions to non-Cartesian reconstruction, ASL angiography, fMRI, susceptibility mapping, and liver DCE-MRI, integrating compressed sensing, low-rank subspace modeling, diffusion models, contrastive learning, and untrained neural networks. His expertise extends to pulse sequence programming on Siemens 3T and 7T platforms, advanced signal processing, and deep learning–based image reconstruction. A productive researcher with 26 documents, 214 citations, and an h-index of 9, he has demonstrated sustained scholarly impact across biomedical engineering, radiology, and computational imaging. His work has been recognized through competitive fellowships and prestigious awards, including multiple ISMRM Merit Awards, the International Postdoctoral Exchange Fellowship, and the Shandong Provincial Science and Technology Progress Prize. Dr. Chen has secured numerous grants as Principal Investigator, leading innovations in physics-informed deep learning, motion-corrected dynamic imaging, and quantitative MRI. His professional service includes reviewing for leading journals, coordinating special issues, and evaluating national and international research grants. With extensive experience mentoring students and collaborating across academia and industry, Dr. Chen continues to advance next-generation MRI technologies that enhance imaging speed, robustness, and clinical diagnostic value.

Profile: Scopus | Orcid

Featured Publications 

Chen, Z. (2025). Accelerating multi-directional diffusion MRI through patch-based joint reconstruction. NeuroImage.

Ekanayake, M., Pawar, K., Chen, Z., Egan, G., & Chen, Z. (2025). PixCUE: Joint uncertainty estimation and image reconstruction in MRI using deep pixel classification. Journal of Imaging Informatics in Medicine.

Elahe Daneshvar | Health Policy | Research Excellence Award

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Dr. Elahe Daneshvar | Health Policy | Research Excellence Award 

University of Hohenheim | Germany

Dr. Ella Daneshvar is a distinguished Public Health and Health Systems researcher with strong expertise in health policy, workforce resilience, and hospital service optimization, supported by an academic profile that reflects 6 citations, 2 scholarly documents, and an h-index of 1. As a Research Fellow at the University of Hohenheim in partnership with the Sheikh Saud bin Saqr Al Qasimi Foundation for Policy Research, she leads an international flagship project strengthening healthcare workforce sustainability across major medical institutions in the UAE. Her work focuses on clinician well-being, burnout, organizational outcomes, and evidence-based policy development rooted in high-quality, mixed-method research design. During her tenure as a Doctoral Research Associate, she conducted extensive fieldwork, developed policy-relevant frameworks, and engaged with health policymakers and administrators to improve hospital efficiency and staff retention. She has published influential research in high-impact journals and presented at international conferences, reinforcing her role as both a scholar and a science–policy communicator. Her earlier industry experience as a Key Account Manager in the medical device sector gave her strategic insight into healthcare operations, stakeholder engagement, and service optimization. Dr. Daneshvar’s academic training spans Healthcare Management, International Business, Strategic Management, and Architecture, giving her a unique interdisciplinary perspective. Fluent in multiple languages and proficient in advanced research tools, she has been recognized with prestigious awards, including competitive international research funding and multiple valedictorian honors. Her ongoing contributions reflect a commitment to strengthening public health systems globally through rigorous research, cross-cultural collaboration, and practical policy impact.

Profile: Scopus | Orcid

Featured Publications 

Daneshvar, E., & Otterbach, S. (2025). Workplace stressors and burnout among healthcare professionals: Insights from the pandemic and implications for future public health crises. Scientific Reports.

Daneshvar, E., Otterbach, S., Alameddine, M., Safikhani, H., & Sousa-Poza, A. (2022). Sources of anxiety among health care workers in Tehran during the COVID-19 pandemic. Health Policy and Planning.

Shan Zeng | Network | Research Excellence Award

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Assoc. Prof. Dr. Shan Zeng | Network | Research Excellence Award 

IHEP,CAS | China

Shan Zeng is an accomplished Associate Researcher at the Computing Center of the Institute of High Energy Physics, Chinese Academy of Sciences, recognized for her strong expertise in cloud–network convergence, software-defined networking, and high-performance data transfer systems for high-energy physics applications. With a solid academic foundation built through advanced training in computer application technology and computer system architecture, she has progressed through roles as Research Assistant, Research Associate, and Group Leader, contributing significantly to national scientific computing infrastructure. Her research leadership is exemplified by her role as principal investigator of competitive national projects focused on developing intelligent, lossless, and elastic network architectures that enhance cross-data-center collaboration and data-intensive scientific analysis. She has produced impactful work spanning SDN-based management, network virtualization, RoCE evaluation, and large-scale data mobility, with her results presented at reputable international forums and adopted in experimental testbeds for high-energy physics. Her scholarly output includes 4 documents with measurable academic influence reflected through 1 citation and an h-index of 1, demonstrating a growing research trajectory in specialized domains of scientific networking. Shan Zeng has also received notable distinctions such as membership in the Youth Innovation Promotion Association of the Chinese Academy of Sciences, the Zhu Li Yuehua Outstanding Doctoral Student Scholarship, and multiple institutional excellence awards. Her contributions continue to support advancements in scientific computing, network intelligence, and data-driven experimentation, strengthening the digital capabilities of China’s high-energy physics research community.ஜெ

Profile: Scopus 

Featured Publications 

Zeng, S., Qi, F., Han, L., & others. (2021). Research and evaluation of RoCE in IHEP data center. Journal of Physics: Conference Series, 251, 02018

Collince Ogolla | Public Health | Research Excellence Award

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Mr. Collince Ogolla | Public Health | Research Excellence Award 

Kisii University | Kenya

Collince Odiwuor Ogolla is a highly driven Medical Laboratory Scientist, Biomedical Researcher, and Public Health Professional with extensive expertise in hematology, blood transfusion science, epidemiology, and population health. With a strong foundation in clinical diagnostics, laboratory quality management, biosafety, biosecurity, and public health practice, he has built a solid reputation for analytical excellence, professional integrity, and impactful scientific contribution. His research portfolio demonstrates growing global visibility, with an h-index of 3, 12 published documents, and over 70 citations, reflecting advancing scholarly influence across hematology, transfusion medicine, infectious disease research, and health systems strengthening. He has contributed to nationally and internationally recognized research initiatives, including large-scale population-based studies, bio-behavioral surveys, and laboratory-based investigations supporting evidence-driven decision-making in healthcare. His academic and professional journey spans advanced training in biomedical sciences, public health, project management, leadership, monitoring and evaluation, and digital health competencies, complemented by hands-on experience with ISO 15189 quality systems and laboratory information management platforms. As a university instructor and curriculum developer, he actively supports competency-based education, student mentorship, and capacity building within health training institutions. His involvement in ethics training, research governance, and professional development further enhances his commitment to responsible science and high standards of practice. Registered with the Kenya Medical Laboratory Technicians and Technologists Board and an active member of professional bodies including ASLM and BMAK, he continues to contribute to the advancement of health research, improved laboratory systems, and strengthened public health outcomes across Kenya and beyond.

Profile: Scopus | Orcid 

Featured Publications 

Ogolla, C. O., Karani, L. W., Musyoki, S., & Maruti, P. (n.d.). Advances in iron deficiency management in chronic kidney disease: Insights into pathophysiology, diagnosis, and therapeutic approaches

Ogolla, C. O., Guya, B., & Maima, A. O. (n.d.). Assessing the impact of environmental pollution on the incidence of blood transfusion-related infections in urban populations

Ogolla, C. O., Guya, B., & Maima, A. O. (n.d.). Effectiveness of blood transfusion screening procedures in preventing transfusion-related infections

Ogolla, C. O., Karani, L. W., Musyoki, S., & Maruti, P. (n.d.). Hematological changes in total and differential count in pre and post hemodialysis of adult chronic kidney disease patients

Ogolla, C. O., Guya, B., & Maima, A. O. (n.d.). Impact of blood donation on immune function and donor health recovery

TaeWoo Kim | Emerging Technologies | Research Excellence Award

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Dr. TaeWoo Kim | Emerging Technologies | Research Excellence Award 

University of Technology Sydney | Australia

Dr. Taewoo Kim is a Senior Lecturer in the Marketing Department at the University of Technology Sydney, where he has established a strong academic presence through his research, teaching, and service leadership. His scholarly work focuses on emerging technologies and consumer behavior, a field in which he has produced 9 published documents, accumulated 540 citations, and achieved an h-index of 5, reflecting the growing influence and reach of his research. Dr. Kim has contributed as a reviewer for leading journals such as Nature Communications, Journal of Marketing Research, Journal of Consumer Psychology, Journal of Service Research, Journal of Retailing, and Personality and Social Psychology Bulletin, and he serves on the Editorial Board of the Asia Marketing Journal. His research excellence has been recognized through competitive grants, including awards from the UTS Business Research Fund, the Marketing Science Institute, and the Indiana University Dean’s Research Fund. As an educator, Dr. Kim has developed and delivered courses spanning Digital Marketing, Emerging Technologies, Entrepreneurial Marketing, Consumer Behavior, Buyer Behavior, and PhD-level Consumer Research seminars, demonstrating a broad pedagogical portfolio. He also brings prior instructional experience from the Kelley School of Business at Indiana University and the University of Iowa’s Department of Statistics. Beyond research and teaching, Dr. Kim contributes significantly to university governance, serving as Higher Degree Research Program Coordinator and holding roles on the Research Ethics Review Panel, the Marketing Department Research Committee, and the Education Committee. His integrated contributions underscore his commitment to advancing marketing scholarship, supporting academic communities, and shaping future researchers and practitioners.

Profile: Scopus

Featured Publications 

Taewoo Kim., Usman, U., T., Garvey, A., & Duhachek, A. (2024). The persuasive power of AI ingratiation: A persuasion knowledge theory perspective. Journal of the Association for Consumer Research, 9(3), 319–334.

Xiaoyan Xu | Marketing | Research Excellence Award

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Dr. Xiaoyan Xu | Marketing | Research Excellence Award 

Southwestern University of Finance and Economics | China

Dr. Xiaoyan Xu is an Associate Professor at the Research Institute of Economics and Management, Southwestern University of Finance and Economics. She specializes in digital platforms, contract design, healthcare economics, and information design contributing extensively to interdisciplinary research at the interface of marketing science, operations, and digital innovation. Holding a Ph.D. in Marketing from the National University of Singapore and a Bachelor’s degree in Applied Mathematics from the University of Science and Technology of China, Dr. Xu has developed a robust publication portfolio. Her work has appeared in top-tier journals such as Journal of Marketing Research, Industrial Management & Data Systems, and Journal of Business Research, with additional manuscripts under review or revision at leading outlets including Marketing Science and Production & Operations Management. Beyond traditional scholarship, Dr. Xu has led several high-impact industry-collaborative projects in healthcare procurement, clinical diagnostics, and point-of-care technologies with partners such as Becton Dickinson, Beckman Coulter, Radiometer, and Leica Biosystems. She also received the Best Paper Award at the Information Economics Annual Conference and the Outstanding Paper Award at the Journal of Marketing Science Annual Conference, reflecting peer acknowledgment for research excellence. Through a combination of rigorous scholarship, industry engagement, and recognized impact, Dr. Xu continues to advance understanding at the nexus of digital technology, healthcare, and market design, contributing both to academic progress and societal value.

Profile: Orcid 

Featured Publications 

Zhang, X., Iyer, G., Xu, X., & Chong, J. K. (2024). Sunk cost effect, self-control, and contract design. Journal of Marketing Research.

Langjian Yang | Mechanical Engineering | Research Excellence Award

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Dr. Langjian Yang | Mechanical Engineering | Research Excellence Award 

Kunming University of Science and Technology | China

Yang Langjian is an emerging scholar specializing in vehicle powertrain systems, with strong expertise in cold-start mechanisms, environmental adaptability, and electronic-control optimization of internal combustion engine equipment under high-altitude and extremely cold conditions. With a research portfolio comprising 7 published documents, 33 citations, and an h-index of 4, he has demonstrated impactful and steadily growing academic influence in the field. As first author, he has contributed extensively to top-tier SCI journals, producing high-quality work on mixture formation, ignition and combustion mechanisms, fuel-injection strategies, and the dynamic evolution of cold-start processes in both diesel and aviation piston engines across variable altitude and temperature environments. His research achievements include multiple Q1 publications, EI-indexed studies, and widely recognized conference contributions, supported by rigorous experimental design, simulation modelling, and advanced numerical analysis using platforms such as CONVERGE, AVL-Fire, AVL-Excite-PR, GT-Suite, Fluent, Hypermesh, and Abaqus. He has participated in and led numerous national, provincial, and industry-funded research projects, contributing to key advancements in thermal management, piston-ring–cylinder friction-pair sealing characteristics, heat-transfer optimization, and powertrain environmental adaptability. His work also extends to instrument development and platform construction for high-altitude and cold-start experimental systems. With strong skills in English technical writing, data analysis, calibration, and simulation, along with hands-on experience supervising graduate students and producing comprehensive technical documentation, he demonstrates excellent potential for independent academic research and interdisciplinary collaboration. This solid combination of scholarly output, technical depth, and project leadership supports his aspiration for a competitive research-faculty position.

Profile: Scopus 

Featured Publications 

Yang, L. (2026). Effects and grey relational analysis of electronic control parameters on mixture formation and combustion characteristics of an aviation piston engine during cold-start. Aerospace Science and Technology.

Kyung-Shin Lee | Social Epidemiology | Research Excellence Award

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Dr. Kyung-Shin Lee | Social Epidemiology | Research Excellence Award 

National Medical Center | South Korea

Dr. Kyung-Shin Lee, MPH, PhD, is a public health researcher specializing in infectious disease epidemiology, environmental epidemiology, and child health, with a strong interdisciplinary foundation spanning preventive medicine, public health, microbial physiology, and biology. With a scholarly record that includes 40 peer-reviewed documents, 712 citations, and an h-index of 15, Dr. Lee has established a notable presence in the fields of environmental exposures, epidemiologic methods, and population health. Currently serving as a Junior Researcher at the National Medical Center’s Infectious Disease Project Support Team, Dr. Lee leads national-level research initiatives focusing on surveillance studies, infectious disease response systems, and the health impacts of environmental factors. Her earlier roles at Seoul National University’s Environmental Health Center and Department of Preventive Medicine, as well as at Asan Medical Center and the Korea Centers for Disease Control and Prevention, reflect extensive experience managing large-scale clinical cohorts, environmental health databases, and epidemiologic investigations. Dr. Lee’s research portfolio spans a wide range of topics, including COVID-19–related neurodevelopment, emergency care utilization, greenness exposure and health outcomes, and the epidemiology of chronic and infectious diseases. She has contributed as a first or corresponding author to impactful publications in medical, public health, and environmental science journals. Her technical expertise includes advanced statistical modeling using SAS, R, STATA, and SQL, along with proficiency in multilevel analysis, time-series methods, interrupted time-series designs, cohort analysis, and environmental exposure assessment. Additionally, she possesses strong capabilities in GIS and spatial analysis using QGIS and ArcGIS, complemented by professional proficiency in English and native fluency in Korean.

Profile: Scopus | Orcid | Google Scholar

Featured Publications 

Lee, K.-S., … (2025). Spatial accessibility to emergency departments and surgical treatment for patients with acute appendicitis in South Korea. Yonsei Medical Journal.

Lee, K-S., … (2025). Differential effects of green space typologies on congenital anomalies: Data from the Korean National Health Insurance Service (2008–2013). Healthcare (Switzerland).

Lee, K-S., … (2025). Changes in the emergency department visits among older adults with dementia before and after nationwide social distancing measures: An interrupted time series analysis. International Journal of Geriatric Psychiatry.

Lee, K-S., … (2025). Association of maternal exposure to fine particulate matter during pregnancy with anterior segment dysgenesis risk: A matched case-control study. Journal of Clinical Medicine.

Xuerong Li | Covert Attack | Research Excellence Award

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Assoc. Prof. Dr. Xuerong Li | Covert Attack | Research Excellence Award 

Northeast Petroleum University | China

Dr. Xuerong Li is an accomplished Associate Professor at the Sanya Offshore Oil & Gas Research Institute, Northeast Petroleum University, recognized for her significant contributions to networked control systems, cyber-physical system security, and advanced state-estimation methodologies. Her research spans piecewise linear and uncertain systems, set-membership filtering, censored measurements, communication-protocol-based estimation, and covert attack detection mechanisms, positioning her as a rising expert in secure intelligent control. She has authored 12 indexed documents, which collectively reflect strong global academic influence, as demonstrated by 376 citations and an h-index of 8, highlighting the consistent impact and quality of her scholarly output. Dr. Li has published in leading international journals, including IEEE Transactions on Automatic Control, IEEE Transactions on Circuits and Systems II: Express Briefs, Information Sciences, and the Journal of the Franklin Institute, and has contributed actively to major international conferences. Her work has advanced understanding of robust covert attack strategies, distributed filtering under network constraints, and secure estimation for nonlinear and time-varying systems. She has led and participated in multiple national and provincial research grants focused on covert attack design, detection mechanisms, and distributed filtering technologies. Her excellence has been recognized through several academic awards, including top scholarships and distinctions in national mathematical modeling competitions. As an active member of IEEE and the IEEE Robotics and Automation Society, Dr. Li continues to engage with the international research community, driving innovation in secure and reliable control technologies across cyber-physical and industrial automation systems.

Profile: Scopus 

Featured Publications 

Li, X., Zhang, P., & Dong, H. (in press). Model reference observer based stealthy covert attack on cyber-physical systems. Journal of the Franklin Institute.

Li, X., Zhang, P., & Dong, H. (2024). A robust covert attack strategy for a class of uncertain cyber-physical systems. IEEE Transactions on Automatic Control, 69(3), 1983–1990.

Yang, F., Dong, H., Shen, Y., Li, X., & Dai, D. (2024). Protocol-based non-fragile state estimation for delayed recurrent neural networks subject to replay attacks. IEEE/CAA Journal of Automatica Sinica, 11(1), 249–251.

Li, X., Song, J., Hou, N., Dai, D., & Yang, F. (2023). Finite horizon distributed set-membership filtering with dynamical bias and DoS attacks under binary encoding schemes. Information Sciences, 641, Article 119084.

Eui Chan Jeon | Climate change | Research Excellence Award

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Prof. Eui Chan Jeon | Climate change | Research Excellence Award 

Sejong University | South Korea

Eui-chan Jeon is a distinguished Professor in the Department of Climate and Environment at Sejong University and Director of the Korea Institute of Climate Change and Environment, widely recognized for his extensive contributions to greenhouse gas emission research, air pollution management, and national climate policy. With a strong academic foundation from Seoul National University, his expertise spans the development of emission factors and inventories, strategies for short-lived climate forcers, VOC and malodor control, and environmental education. Over his career, he has authored an impressive body of work comprising 110 scholarly documents and accumulated 2,082 citations, supported by an h-index of 22, demonstrating his sustained scientific influence. He has served in numerous high-level national and international leadership roles, including Lead Author for the IPCC Methodology Report on Short-lived Climate Forcers, Chairman of the TFI under the Council for Response to the IPCC, Chairman of the Carbon Neutral Committee of Korea Environment Corporation, and Chairman of the Board of the APEC Climate Center. His recent research includes major national projects on particulate matter, non-CO₂ greenhouse gas destruction and removal efficiency, ammonia emissions, and agricultural and livestock activity data enhancement. He has also authored influential studies advancing emission factor development for waste, industrial, agricultural, and energy sectors. His work has been complemented by multiple national honors, academic awards, and the publication of several authoritative books on carbon neutrality, climate change adaptation, environmental science, and energy policy. Professor Jeon’s scholarship and leadership continue to shape climate science, environmental policy, and sustainable development across the Asia-Pacific region and beyond.

Profile: Scopus | Orcid

Featured Publications 

Min, D. K., Woo, J., Kim, J., Lee, B.-J., Jeon, E.-C., & Lee, J. (2025). The impact of plasma intensity on the unused rate in semiconductor manufacturing: Comparative analysis across intensity ranges from 30 to 3000. Applied Sciences, 15, 1441.

Woo, J., Min, D. K., Kang, S., Lee, J., Lee, B.-J., & Jeon, E.-C. (2024). A study on the development of destruction or removal efficiency (DRE) considering the characteristics of greenhouse gas abatement technology used in the semiconductor and display industries in South Korea. Atmosphere, 15, 1446.

Kang, S., Woo, J., Kim, G., Min, D., Lee, J., & Jeon, E.-C. (2024). Study on the destruction and removal efficiency (DRE) of perfluorinated compound gases used in semiconductor and display processes in Korea: DRE and uncertainty by scrubber type. Processes, 12, 2321.

Lee, S., Kwon, T. H., Lee, J., & Jeon, E.-C. (2024). High-resolution environmentally extended input–output analysis model for consumption-based greenhouse gas accounting. Journal of Climate Change Research, 15, 5–1.