Sooyoun Lee l Data Analysis Software | Women Researcher Award

Dr. Sooyoun Lee l Data Analysis Software | Women Researcher Award

National Institute of Health | South Korea

Dr. Sooyoun Lee is a Research Assistant Professor at Ajou University’s Bio-AI Center, specializing in bioinformatics, biomedical science, and computational biology. She holds a PhD in Bioinformatics from Seoul National University and an M.S. in Biomedical Science from Ajou University. Her research focuses on multi-omics data analysis, cancer genomics, precision medicine, and AI-driven drug repositioning. Dr. Lee has extensive experience in bioinformatics tool development, transcriptome analysis, and proteogenomics, with numerous high-impact publications and patents. Her work bridges computational methods and medical applications, advancing personalized healthcare solutions and integrative approaches in biomedical research.

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Deme Hirko l Water Engineer | Research Excellence Award

Dr. Deme Hirko l Water Engineer | Research Excellence Award

 Jimma University | Ethiopia

Dr. Deme Hirko is a motivated, results-oriented civil engineer with a PhD (defended November 2025, Stellenbosch University) and over 10 years of academic and research experience in water resources engineering, hydrology, and climate change modelling. His education spans a PhD in Civil Engineering, an MSc in Water Resources and Irrigation Engineering, and a BSc in Hydraulic and Water Resources Engineering. Professionally, Dr. Deme Hirko has served as lecturer, teaching assistant, hydrology analyst, site engineer, and departmental coordinator. His research interests include climate-resilient water allocation, hydrological modelling, and AI applications. He possesses strong skills in machine learning, WEAP, Python, GIS, and HPC, has supervised numerous theses, received institutional recognition for leadership, and is committed to advancing sustainable, data-driven water management through postdoctoral research.

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Rodney Tatenda Muringai | Data Analysis | Research Excellence Award

Dr. Rodney Tatenda Muringai | Data Analysis | Research Excellence Award

University of Johannesburg | South Africa

Dr. Rodney Tatenda Muringai is a climate change and food security scholar with over six years of experience spanning teaching, postdoctoral research, and applied policy work. He holds a PhD, MSc, PGDip, and BSS from the University of KwaZulu-Natal, with additional training in sustainability from Beijing Normal University. His professional experience includes roles as Postdoctoral Research Fellow and Ad Hoc Lecturer at the University of Johannesburg, Research Assistant, and Ecosystem Services Analyst. Dr. Rodney Tatenda Muringai’s research interests focus on climate change adaptation, fisheries and aquaculture, livelihoods, and socio-ecological resilience, supported by strong skills in policy analysis, GIS, stakeholder engagement, and data analysis. He has received NRF, SARChI, and LIMA awards and continues to contribute impactful, policy-relevant research that advances sustainable development in Africa.

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Featured Publications

Vulnerability of inland small-scale fishing communities to climate change and variability: Insights from the Zambezi River Basin, Zimbabwe

Rodney T. Muringai, Paramu L. Mafongoya, Romano Lottering – Environment, Development and Sustainability, 2025
Living in the wild: The bidirectional impacts of human–wildlife interaction in Binga and Nyaminyami rural districts, Zimbabwe

Rodney T. Muringai, Walter Musakwa, Phindile Mthembu, Takafara Gozo – Transactions of the Royal Society of South Africa, 2025
Sub-Saharan Africa freshwater fisheries under climate change: Impacts, adaptation, and mitigation measures

Rodney T. Muringai, Paramu Mafongoya, Romano T. Lottering – Fishes, 2022
Climate change perceptions, impacts and adaptation strategies: Insights from fishers in the Zambezi River Basin, Zimbabwe

Rodney T. Muringai, Paramu Mafongoya, Romano T. Lottering – Sustainability, 2022
Unlocking the potential of fish to improve food and nutrition security in Sub-Saharan Africa

Rodney T. Muringai, Paramu Mafongoya, Romano T. Lottering et al. – Sustainability, 2021

Fulufhelo Hope Mudau | Real World Case Studies | Research Excellence Award

Dr. Fulufhelo Hope Mudau | Real World Case Studies | Research Excellence Award

 University of South Africa | South Africa

Fulufhelo H. Mudau, PhD (Chem) is a South African chemist and postdoctoral fellow at the University of South Africa, Institute of Nanotechnology and Water Sustainability, with strong expertise in membrane science, water treatment, and nanomaterials. She holds a PhD in Chemistry, along with an MSc in Chemistry, BSc Honours, and a BSc in Chemistry and Applied Chemistry. Her professional experience includes postdoctoral research, e-tutoring, laboratory teaching, project administration, and water and wastewater operations. Her research interests focus on ion exchange membranes, polymer–nanoparticle interactions, and sustainable water technologies, supported by strong skills in experimental design, analytical chemistry, data analysis, and academic supervision. Fulufhelo H. Mudau, PhD (Chem) has received multiple awards for innovation, research excellence, and science communication, reflecting her commitment to impactful research, education, and youth development.

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Amirhossein Karamoozian | Civil Engineering | Best Researcher Award

Dr. Amirhossein Karamoozian | Civil Engineering | Best Researcher Award

Shenzhen University | China

Dr. Amirhossein Karamoozian is a researcher and lecturer at the International College, University of Chinese Academy of Sciences (UCAS), with a Ph.D. in Management Science and Engineering (Project Management). His research focuses on risk assessment, project management, sustainable construction, and decision-making methodologies, with applications in construction, renewable energy, and transportation projects. He has authored numerous high-impact SCI journal articles and holds multiple patents on construction project risk assessment and material selection. Dr. Karamoozian has received several awards, including best paper recognitions at IEEE symposiums and the UCAS Excellent International Graduate Student Award, reflecting his significant contributions to engineering management research.

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Featured Publications


Assessing urban outdoor thermal discomfort across scales and climates: Implications for sustainable urban management in Iran

– Sustainable Cities and Society, 2026-01Contributors: Aminreza Karamoozian; Abouzar Gholamalizadeh; Saman Nadizadeh Shorabeh; Amirhossein Karamoozian; Mohammad Karimi Firozjaei

COVID-19 automotive supply chain risks: A manufacturer-supplier development approach

– Journal of Industrial Information Integration, 2024-03Contributors: Aminreza Karamoozian; Chin An Tan; Desheng Wu; Amirhossein Karamoozian; Saied Pirasteh

An Integrated Approach for Instability Analysis of Lattice Brake System Using Contact Pressure Sensitivity

– IEEE Access, 2020Contributors: Aminreza Karamoozian; Haobin Jiang; Chin An Tan; Liangmo Wang; Yuanlong Wang

Probability Based Survey of Braking System: A Pareto-Optimal Approach

– IEEE Access, 2020Contributors: Aminreza Karamoozian; Haobin Jiang; Chin An Tan

Nusrat Shaheen | Energy Storage Devices | International Data Breakthrough Achievement Award

Assoc. Prof. Dr. Nusrat Shaheen | Energy Storage Devices | International Data Breakthrough Achievement Award

Qilu Institute of Technology | China

Assoc. Prof. Dr. Nusrat Shaheen is a physicist specializing in condensed matter physics, thermoelectric materials, and energy storage technologies. She earned her PhD in Condensed Matter Physics from Chongqing University, China (2017), following an MSc in Physics from Quaid-i-Azam University, Islamabad, and a BSc in Physics from Bahauddin Zakariya University, Pakistan. She completed two post-doctoral fellowships in China at Xi’an Jiaotong University (2019–2021) and Guangxi University (2021–2023), working on advanced thermoelectric and energy materials. Her academic experience includes serving as Assistant Professor at COMSATS University Islamabad and Lecturer of Physics at a government college in Pakistan. Her research focuses on thermoelectric materials (skutterudites and half-Heuslers), supercapacitors, batteries, fuel cells, and nanomaterial synthesis using hydrothermal, CVD, and solid-state methods. She has extensive expertise in structural, thermal, electrical, and electrochemical characterization. Dr. Shaheen is a recipient of the CSC Scholarship and the International Outstanding Student Award. Her scholarly impact includes 45 documents, an h-index of 17, and approximately 1,346 citations across 1,243 citing documents, reflecting sustained contributions to energy and materials research.

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Featured Publications

An ultra-high energy density flexible asymmetric supercapacitor based on hierarchical fabric decorated with 2D bimetallic oxide nanosheets and MOF-derived porous carbon polyhedra

– Journal of Materials Chemistry A, 2019 | Citations: 284
Binary WO₃–ZnO nanostructures supported rGO ternary nanocomposite for visible light driven photocatalytic degradation of methylene blue

– Synthetic Metals, 2020 | Citations: 186
Ag-doped FeCo₂O₄ nanoparticles and their composite with flat 2D reduced graphene oxide sheets for photocatalytic degradation of colored and colorless compounds

– FlatChem, 2022 | Citations: 99
The energy crisis in Pakistan: A possible solution via biomass-based waste

– Journal of Renewable and Sustainable Energy, 2016 | Citations: 99
An efficient genetic algorithm based demand side management scheme for smart grid

– International Conference on Network-Based Information Systems, 2015 | Citations: 98

Zhehong Liu | Data collection | Research Excellence Award

Dr. Zhehong Liu | Data collection | Research Excellence Award

Institute of physics | China

Dr. Zhehong Liu is a materials scientist specializing in functional transition-metal oxides, with particular expertise in A-site ordered quadruple perovskites synthesized under high pressure and high temperature. He received his Ph.D. in Materials Science from the Institute of Physics, Chinese Academy of Sciences, where his doctoral research focused on high-pressure synthesis and physical property tuning of highly ordered quadruple perovskites. He is currently a Postdoctoral Research Associate at the same institute, conducting independent research on structure–property relationships in complex oxides. His work integrates advanced experimental techniques including synchrotron and neutron diffraction, x-ray absorption and dichroism, magnetic and electrical transport measurements to elucidate the roles of crystal structure, spin state, and valence state in emergent phenomena. Dr. Liu has extensive hands-on experience in high-pressure synthesis, cryogenic systems, and in-situ measurements, and has contributed to discoveries such as high-Curie-temperature half metals, novel magnetic orderings, and correlated and topological states in oxides. He has received multiple competitive honors, including top-tier postdoctoral and graduate awards from the Chinese Academy of Sciences. Overall, his research advances the understanding and design of strongly correlated and multifunctional materials with both fundamental and technological significance. His scholarly impact includes 1,398 citations, 53 documents, and an h-index of 17 (citations drawn from 1,182 documents).

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Featured Publications

Sequential spin state transition and intermetallic charge transfer in PbCoO3

J. Am. Chem. Soc. 142, 5731 (2020). Cover Article
Realization of a half metal with a record-high Curie temperature in perovskite oxides

Adv. Mater. 2200626 (2022). Inside Back Cover

Quadruple perovskite oxide LaCu3Co2Re2O12:
A ferrimagnetic half metal with nearly 100% B-site degree of order


Appl. Phys. Lett. 117, 152402 (2020). Editor’s Pick

Observation of A-site antiferromagnetic and B-site ferrimagnetic orderings in the
quadruple perovskite oxide CaCu3Co2Re2O12


Phys. Rev. B 103, 014414 (2021)
Tunable Room-Temperature Ferromagnetism in Two-Dimensional Cr2Te3

Nano Lett. 20, 3130 (2020)

Kanellos Toudas | Financial Data Analysis | Research Excellence Award

Assoc. Prof. Dr. Kanellos Toudas | Financial Data Analysis | Research Excellence Award

Agricultural University of Athens | Greece

Assoc. Prof. Dr. Kanellos Toudas is a scholar in accounting and financial analysis with extensive academic, governmental, and professional experience. He earned both his graduate and postgraduate diplomas in Business Administration from the University of Piraeus, followed by a Ph.D. in Financial Management and Accounting from the Athens University of Economics and Business, and later extended his research expertise through postdoctoral studies at the National and Kapodistrian University of Athens. Dr. Toudas has combined rigorous academic work with significant professional service, beginning his career as an auditor for the Hellenic Capital Market Commission, where he later served as Head of the Accounting Department. His public-sector leadership includes roles as Deputy Mayor of Finance and Deputy Governor within national financial and agricultural institutions. In academia, he is an Associate Professor at the Agricultural University of Athens, having also taught at major Greek universities in areas such as accounting principles, financial analysis, and IFRS. He has authored and co-authored numerous research papers and has participated in many national and international conferences. His research interests include financial reporting, auditing, accounting standards, and capital market regulation. Dr. Toudas continues to contribute to the advancement of accounting research and financial governance through teaching, scholarship, and public service.

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Featured Publications

Toudas, K., Poutos, E., & Balios, D. (2013). Concept, regulations and institutional issues of IPSAS: A critical review. European Journal of Business and Social Sciences, 2(1), 43–54.

Boufounou, P., Mavroudi, M., Toudas, K., & Georgakopoulos, G. (2022). Digital transformation of the Greek banking sector in the COVID era. Sustainability, 14(19), 11855.

Boufounou, P., Moustairas, I., Toudas, K., & Malesios, C. (2023). ESGs and customer choice: Some empirical evidence. Circular Economy and Sustainability, 3(4), 1841–1874.

Frangos, C., Frangos, C., Sotiropoulos, I., Orfanos, V., Toudas, K., & Gkika, E. (2012). The effects of the Greek economic crisis on eating habits and psychological attitudes of young people: A sample survey among Greek university students. Proceedings of the World Congress of Engineering, 1, 485–489.

Georgakopoulos, G., Toudas, K., Poutos, E. I., Kounadeas, T., & Tsavalias, S. (2022). Capital structure, corporate governance, equity ownership and their impact on firms’ profitability and effectiveness in the energy sector. Energies, 15(10), 3625.

Bardia Rodd | Machine Learning and AI Applications | Best Researcher Award

Prof. Bardia Rodd | Machine Learning and AI Applications | Best Researcher Award

SUNY Upstate Medical University | United States

Prof. Bardia Rodd is an Associate Professor at SUNY Upstate Medical University and Associate Director of AI Innovation at the AI for Health Equity, Analytics, and Diagnostics (AHEAD) Center. He completed dual PhDs in Electrical & Computer Engineering from Université Laval and in Computer Science from the University of Malaya, alongside a postdoctoral fellowship at the University of Pennsylvania Perelman School of Medicine, focusing on precision medicine, artificial intelligence, and image-guided systems. His academic career spans faculty positions at SUNY Upstate, the University of Maryland, and Laval University, with extensive experience in biocomputational engineering, machine learning, medical image analysis, and data-driven healthcare solutions. He has led numerous grants, including initiatives in AI in education, biomedical research, and curriculum development. Prof. Rodd has supervised multiple graduate and postgraduate students and contributed to open educational resources, advancing accessible teaching in machine learning and bioengineering. He is an active member of professional societies including IEEE, SPIE, and the Association of Pathology Informatics, serving on multiple technical committees and leadership roles. His research interests include AI-driven biomedical imaging, predictive modeling, and health equity applications. Prof. Rodd has authored a textbook on machine learning for data analysis and continues to integrate research, teaching, and innovation to advance computational medicine and AI education.

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Featured Publications

Siezen, H., Awasthi, N., Rad, M. S., Ma, L., & Rodd, B. (2025). “Low-rank distribution embedding of dynamic thermographic data for breast cancer detection.” Journal of Thermal Biology, 104303.

Usamentiaga, R., Fidanza, A., Yousefi, B., Iacutone, G., Logroscino, G., & Sfarra, S. (2025). “Advancing knee injury prevention and anomaly detection in rugby players through automated processing of infrared thermography: A novel biothermodynamics approach.” Thermal Science and Engineering Progress, 103782.

Rad, M. S., Huang, J. V., Hosseini, M. M., Choudhary, R., Siezen, H., Akabari, R., et al. (2025). “Deep learning for digital pathology: A critical overview of methodological framework.” Journal of Pathology Informatics, 100514.

Yousefi, B., Khansari, M., Trask, R., Tallon, P., Carino, C., Afrasiyabi, A., Kundra, V., Ma, L., Ren, L., Farahani, K., & Hershman, M. (2025). “Measuring subtle HD data representation and multimodal imaging phenotype embedding for precision medicine.” IEEE Transactions on Instrumentation and Measurement, TIM-24-01821.

Cao, Y., Sutera, P., Mendes, W. S., Yousefi, B., Hrinivich, T., Deek, M., et al. (2024). “Machine learning predicts conventional imaging metastasis-free survival (MFS) for oligometastatic castration-sensitive prostate cancer (omCSPC) using prostate-specific membrane antigen (PSMA) PET radiomics.” Radiotherapy and Oncology, 199, 110443.

Xinyu Liu | Regression Analysis | Young Innovator Award

Dr. Xinyu Liu | Regression Analysis | Young Innovator Award

Peking University | China

Dr. Xinyu Liu is a postdoctoral researcher specializing in Microeconomics, Development Economics, and Finance, with a particular focus on e-commerce, consumption behavior, entrepreneurship, housing demolition, and cross-shareholding in China. Dr. Liu earned a Ph.D. in Management (Agricultural Economics and Management) from Peking University, with a dissertation examining the impact of e-commerce on rural residents’ sales and consumption, and a B.E. in Economics from Southwestern University of Finance and Economics. Currently, Dr. Liu is a postdoctoral fellow at the China International Capital Corporation (CICC) Global Institute and Fudan University, exploring cross-shareholding and firm innovation under the guidance of senior economists. Dr. Liu also served as a short-term consultant at the World Bank, analyzing fertility preferences. With five publications, including in Economic Development and Cultural Change, Cities, and PNAS Nexus, Dr. Liu’s work has been cited 30 times across 30 documents, achieving an h-index of 2. Recognized for academic excellence, Dr. Liu has received multiple awards, including the Peking University Second-Class Scholarship and Best Paper Awards at international conferences. Current research explores digital transformation in agriculture, rural e-commerce expansion, and the economic consequences of housing demolition. Dr. Liu’s research contributes to sustainable and inclusive economic development in China and beyond.

Profile : Scopus

Featured Publications

Wang, X., Ren, Y., Yamauchi, F., Huang, J., & [Author]. (2025). “The power of the anti-corruption campaign: Evidence from cigarette and alcohol consumptions in China.” Economic Development and Cultural Change, 73(2), 941–977.

He, Z., Shi, X., Sun, X., & [Author]. (2024). “Housing demolition and entrepreneurship: Evidence from China.” Cities, 152, 105201.

Wang, X., Min, S., Jin, S., Huang, J., & [Author]. (2025). “The influence of improved wheat and maize varieties on infant mortality in China.” PNAS Nexus, 4(2), pgaf048.

Huang, J., Su, L., Huang, Q., & [Author]. (2022). “Facilitating inclusive ICT application and e-commerce development in rural China.” Agricultural Economics, 53(6), 938–952.