Xiu-Teng Wang | Environmental Data Analysis | Best Researcher Award

Published on by Research Data Analysis

Dr. Xiu-Teng Wang | Environmental Data Analysis | Best Researcher Award

China Institute of Standardization | China

Dr. Xiu-Teng Wang is a leading researcher in environmental protection and standardization, known for his extensive work in solid and hazardous waste management. He earned his B.Sc. from the School of Chemistry and Materials Science at the University of Science and Technology of China in 2004 and completed his Ph.D. in Science at the School of Chemistry and Molecular Engineering at Peking University in 2009. Since then, he has worked at the China National Institute of Standardization, contributing to national efforts in solid waste treatment, air pollution control, and environmental management. From 2015 to 2017, he served as Vice President of the Standardization Institute of the Inner Mongolia Autonomous Region as part of the 16th batch of national doctoral service teams. He currently serves as Chief Researcher of Environmental Protection and Secretary General of SAC/TC275 and the national hazardous waste standards working group while also acting as liaison to ISO/TC275. His research focuses on developing standards for waste treatment, disposal, and resource utilization, and he has led multiple national key R&D and technology projects. With 44 documents, 1,376 citations, 1,260 citing documents, and an h-index of 17, he has established a strong academic presence. His contributions have earned several national awards, underscoring his influence in environmental standardization.

Profile : Scopus 

Featured Publications

(2025). Environmental risk assessment of liquid aluminum sulfate water treatment agent prepared from waste sulfuric acid in the integrated circuit industry. Sustainability.

(2025). Crystal structure of 72,73,75,76-tetrafluoro-25,44-di-methyl-31,33,36,38-tetraoxo-31,32,33,36,37,38-hexahydro-3(2,7)-benzo[lmn][3,8]phenanthrolina-1,5(4,1)dipyridin-1-iuma-2,4(1,2),7(1,4)-tribenzenacyclooctaphane-11,51-diium hexafluoridophosphate, [C46H28F4N4O4][PF6]2, a dicationic cyclophane. Zeitschrift für Kristallographie – New Crystal Structures.

(2025). Highly fluorescent, water-soluble tetrapodal perylene diimides insulated by cationic pendants for live-cell imaging. Dyes and Pigments.

(2025). Crystal structure of di-μ-azido-κ1N bis[2-(1,10-phenanthrolin-2-yl)benzo[d]imidazol-1-ido-κ3N,N’,N”]-bis(methanol-κ1O)-di-manganese. Zeitschrift für Kristallographie – New Crystal Structures.

A’eashah Alhakamy | Data Visualization | Research Excellence Award

Published on by Research Data Analysis

Assoc. Prof. Dr. A’eashah Alhakamy | Data Visualization | Research Excellence Award

University of Tabuk | Saudi Arabia

Assoc. Prof. Dr. A’eashah Alhakamy is an academic leader and researcher in computer science whose work spans computer graphics, computer vision, imaging, visualization, and extended reality, with a scholarly record comprising 27 published documents, 271 citations from 250 citing documents, and an h-index of 9. She earned her Ph.D. and M.Sc. in Computer Science from Purdue University, specializing in illumination integration in dynamic augmented-reality environments, following a B.Sc. in Computer Science from Taibah University. She serves as Associate Professor and Department Chair at the University of Tabuk, holding key leadership roles in data governance, academic affairs, research centers, and national committees. Her research focuses on augmented and extended reality, human-computer interaction, data visualization, immersive technologies, and AI-driven sensing systems, contributing to reputable venues such as IEEE Access, Applied Sciences, Sensors, and Sustainability. She has received multiple awards for outstanding scientific research, excellence in teaching, innovation, and high-impact publications from the University of Tabuk and national academic bodies. In addition, she has led funded grants, supervised numerous postgraduate and undergraduate projects, and contributed to major institutional initiatives. Through research, leadership, and continuous academic service, she remains committed to advancing immersive technologies and impactful computing research.

Profiles : Scopus | Orcid

Featured Publications

Alhakamy, A. (2025). Intersecting Realms: Examining the Convergence of Vision and AI in Extended Reality Graphics. IEEE Access. https://doi.org/10.1109/ACCESS.2025.3599337

Friedman, A., Tazike, M., Shelton, E. G., Patel, N. A., Alhakamy, A., & Cafaro, F. (2025). Puppeteers and Forecasters: How Children Engage. Conference paper. https://doi.org/10.1145/3694907.3765950

Alhakamy, A. (2025). Advancing SDG5: Machine Learning and Statistical Graphics for Women’s Empowerment and Gender Equity. Sustainability. https://doi.org/10.3390/su17219706

Friedman, A., Tazike, M., Shelton, E. G., Patel, N., Alhakamy, A., & Cafaro, F. (2025). “I’m a Fish!”: Exploring Children’s Engagement with Human–Data Interactions in Museums. Applied Sciences. https://doi.org/10.3390/app152111304

Alhakamy, A. (2024). Extended Reality (XR) Toward Building Immersive Solutions: The Key to Unlocking Industry 4.0. ACM Computing Surveys. https://doi.org/10.1145/3652595

Helmi Ayari | Data processing | Research Excellence Award

Published on by Research Data Analysis

Mr. Helmi Ayari | Data processing | Research Excellence Award

Université Ibn khaldoun | Tunisia

Helmi Ayari is a doctoral researcher in Artificial Intelligence at the École Polytechnique de Tunisie, focusing on machine learning, deep learning, and intelligent imaging systems, with a research track record that includes 3 published documents, an h-index of 1, and citations from 33 documents. He holds a Master of Research in Intelligent Systems for Imaging and Computer Vision and a fundamental Bachelor’s degree in Computer Science. His work includes contributions to medical image analysis, explainable AI, and optimization techniques, with notable publications such as a comparative study of classical versus deep learning-based computer-aided diagnosis systems published in Knowledge and Information Systems (Q2), and a study integrating genetic algorithms with ensemble learning for enhanced credit scoring presented at the International Conference on Business Information Systems (Class B). Professionally, he has served as a Maître Assistant and teaching assistant, delivering courses in machine learning, deep learning, Python, R, computer architecture, and automata theory, while supervising Master’s research, coordinating academic programs, and contributing to hackathons and university events. His research interests span AI-driven decision systems, interpretable machine learning, evolutionary optimization, and applied deep learning. Recognized for both academic and pedagogical engagement, he continues advancing impactful AI research and education.

Profile : Scopus

Featured Publications

Computer-Aided Diagnosis Systems: A Comparative Study of Classical Machine Learning Versus Deep Learning-Based Approaches. Knowledge and Information Systems, published May 23, 2023. https://doi.org/10.1007/s10115-023-01894-7

Integrating Genetic Algorithms and Ensemble Learning for Improved and Transparent Credit Scoring. International Conference on Business Information Systems, June 25, 2025. (Class B)

Naveed Yasin | Entrepreneurship  | Innovative Research Award

Published on by Research Data Analysis

Prof. Dr. Naveed Yasin | Entrepreneurship  | Innovative Research Award

Abu Dhabi School of Management | United Arab Emirates

Dr. Naveed Yasin is a Full Professor of Entrepreneurship and Management whose career spans academic leadership, research, innovation, and global entrepreneurship ecosystem development. He holds a Ph.D. in Cross-National Comparative Entrepreneurship from an AACSB-accredited university and advanced qualifications in higher education, leadership, and AI-enabled entrepreneurship education. With experience as Vice President of Academic Affairs, Executive Dean, Consulting Vice President, and Director of an academic business incubator, he has led institutional transformation, accreditation initiatives, and the creation of entrepreneurial learning ecosystems across the UAE, UK, Europe, and Asia. His research focuses on immigrant entrepreneurship, entrepreneurship education, AI applications in enterprise learning, and entrepreneurial ecosystems, supported by 422 citations across 288 documents, 51 publications, and an h-index of 13. He has published in ABDC A*, ABS 3*, and Scopus Q1 journals and contributed chapters to major publishers such as Palgrave Macmillan and Routledge. His achievements include the UAE & EIE Teaching Excellence Award, a Vice Chancellor’s Award for Outstanding Research Thesis, and multiple international recognitions for innovation in education. As an educator, consultant, mentor, and ecosystem builder, Dr. Yasin continues to champion entrepreneurial leadership, global partnerships, and the advancement of universities as catalysts for economic and societal impact.

Profile : Scopus

Featured Publications

Green strategic intent, artificial intelligence capability and behavioral dynamics of achieving circular economy goals in the public sector (2025). Technological Forecasting and Social Change.

‘Imitate or Incubate?’ Evaluating the Current State of University-Based Business Incubators in the United Arab Emirates (2025). Fiib Business Review.

The Role of Artificial Intelligence in the Development of Learning and Social Innovation Education for Entrepreneurs in Poverty: A Sustainable Entrepreneurial Approach (2025). [Book Chapter]

“Try to keep them dumb and under the thumb”: exploring the “darker side” of psychological contracts in “overly embedded” immigrant enterprises (2025). Employee Relations.

Natural capital productivity as a decoupler of energy and emissions in Sub-Saharan Africa (2025). Energy Economics.

 

Ion Tirca | Physicist | Distinguished Scientist Award

Published on by Research Data Analysis

Dr. Ion Tirca | Physicist | Distinguished Scientist Award

University of Craiova | Romania

Dr. Ion Tirca is a physicist and materials science researcher specializing in photonic processing, thin films, and laser–matter interaction. His academic formation includes a bachelor’s degree in mathematics, a master’s degree in physics, a PhD in sciences, and a postdoctoral research program at the University of Craiova, where he also contributed as a project manager in an entrepreneurial education initiative. He has held research positions at the National Institute for Lasers, Plasma and Radiation Physics and at INCESA, focusing on advanced materials, pulsed laser deposition, and optical properties of functional surfaces. Dr. Tirca has authored 7 scientific documents, accumulated 43 citations from 38 citing documents, and holds an h-index of 4, reflecting the visibility and impact of his contributions. His publications in ISI-rated journals address topics such as Mg–Al layered double hydroxide thin films, WO₃ optical behavior, dopant effects, and biocompatible composite coatings. His research interests include laser deposition technologies, optical materials, nanostructures, biomaterials, and condensed matter physics. He has also participated in academic dissemination activities and contributed to interdisciplinary collaborations. Committed to advancing both scientific knowledge and applied research, Dr. Tirca continues to explore innovative photonic techniques for developing next-generation functional materials.

Profile : Scopus

Featured Publications

Tirca, I., Mitran, V., Marascu, V., Brajnicov, S., Ion, V., Stokker-Cheregi, F., Popovici, I. A., Cimpean, A., Dinca, V., & Dinescu, M. (2017). In vitro testing of curcumin-based composite coatings as antitumoral systems against osteosarcoma cells. Applied Surface Science, 425, 1040–1051.

Vlad, A., Birjega, R., Tirca, I., Matei, A., Mardare, C. C., Hassel, A. W., Nedelcea, A., Dinescu, M., & Zavoianu, R. (2018). Pulsed laser deposition of functionalized Mg–Al layered double hydroxide thin films. Applied Physics A, 124, 152.

Tirca, I., Boerasu, I., Radu, M.-S., & Osiac, M. (2021). Refractive index of WO₃ thin films grown under various temperatures determined by the Swanepoel method. Physica B: Condensed Matter, 620, 413266.

Osiac, M., Boerasu, I., Radu, M.-S., Jigau, M., & Tirca, I. (2021). Influence of iron as a dopant on the refractive index of WO₃. Materials, 14(19), 5845.

Osiac, M., Satulu, V., Jigau, M., Tirca, I., & Tudorascu, I. R. (2023). Influence of substrate temperature on the structural and chemical properties of iron-doped WO₃ films prepared by PLD. Applied Physics A, 129, 544.

Weitao Yue | Engineering | Research Excellence Award

Published on by Research Data Analysis

Mr. Weitao Yue | Engineering | Research Excellence Award

China University of Mining and Technology | China

Mr. Weitao Yue is a Ph.D. candidate at the China University of Mining and Technology, specializing in Safety Science and Engineering with a focus on coal and rock dynamic disaster prevention and control. His research is dedicated to addressing critical challenges in coal mine safety, emphasizing the investigation of underlying mechanisms, monitoring and early warning systems, and the development of innovative control technologies for coal and rock dynamic disasters. He has actively contributed to multiple national-level major research projects, including the National Natural Science Foundation of China (NSFC) projects, National Key Research and Development Program projects, and National Major Scientific Instrument Development projects, where he played pivotal roles in theoretical innovation, experimental research, and data analysis. Mr. Yue has published seven high-impact SCI papers as first or corresponding author in top-tier journals such as International Journal of Mining Science and Technology, Engineering Geology, Rock Mechanics and Rock Engineering, Measurement, Journal of Central South University, and Physics of Fluids. Notably, two of his papers have been recognized as ESI Highly Cited, ranking among the top 1% most cited globally, reflecting his significant academic influence. His research provides theoretical foundations and technical solutions to enhance coal mine safety, contributing substantially to the advancement of mining engineering and disaster prevention technologies.

Profile : Orcid

Featured Publications

Feng, X., Yue, W., Cao, Z., Zhou, S., Cao, X., & Wang, E. (2026). “Multi-scale DEM simulation and experimental validation of water-saturated coal failure under variable-angle shear loading: Revealing hydrochemical coupling damage mechanisms.” Measurement. https://doi.org/10.1016/j.measurement.2025.119812

Feng, X., Yue, W., Zhao, X., Wang, D., Liu, Q., & Ding, Z. (2025). “Evolution law and risk analysis of fault-slip burst in coal mine based on microseismic monitoring.” Environmental Earth Sciences. https://doi.org/10.1007/s12665-024-12080-5

Xinyu Liu | Regression Analysis | Young Innovator Award

Published on by Research Data Analysis

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.

Yu Xiao | Data Science | Research Excellence Award

Published on by Research Data Analysis

Dr. Yu Xiao | Data Science | Research Excellence Award

Beijing Normal University | China

Yu Xiao He is a lecturer at Beijing Normal University with a strong background in decision science and operations research. He received his B.S. degree in Communication Engineering from Sichuan University, Chengdu, China, in 2014, and earned his Ph.D. in Management Science from the National University of Defense Technology, China, in 2020. He worked at the National University of Defense Technology from 2020 to 2022 before joining Beijing Normal University. His research focuses on multi-criteria decision analysis (MCDA) and rank aggregation, as well as graph theory and voting theory, addressing challenges in ranking, consensus building, and decision support. To date, he has published 24 documents, which have collectively received 158 citations, resulting in an h-index of 8, reflecting his growing influence in his fields of expertise. His contributions combine rigorous theoretical development with practical applications, aiming to improve methods for aggregating rankings and supporting complex decision-making processes. Recognized for his interdisciplinary approach, he integrates engineering, management, and social-choice methodologies in his work. Overall, Yu Xiao He is a rising scholar whose research is advancing both the theory and practice of multi-criteria decision-making, ranking aggregation, and graph-based modeling, offering valuable insights for academics and practitioners alike.

Profiles : Scopus | Orcid

Featured Publications

Xiao, Y., Wang, B., Deng, Y., & Wu, J. (2025). “From ratings to rankings: A complementary approach for student evaluations of teaching in higher education.” Studies in Educational Evaluation.

Zhu, H., Xiao, Y., Chen, D., & Wu, J. (2025). “A robust rating aggregation method based on temporal coupled bipartite network.” Information Processing & Management.

Li, G., Xiao, Y., & Wu, J. (2024). “Rank aggregation with limited information based on link prediction.” Information Processing & Management.

Xiao, Y., Zhu, H., Chen, D., Deng, Y., & Wu, J. (2023). “Measuring robustness in rank aggregation based on the error-effectiveness curve.” Information Processing & Management.

Xiao, Y., Deng, H.-Z., Lu, X., & Wu, J. (2021). “Graph-based rank aggregation method for high-dimensional and partial rankings.” Journal of the Operational Research Society.

Alexander Churbanov | Predictive Modeling Innovations | Best Researcher Award

Published on by Research Data Analysis

Dr. Alexander Churbanov | Predictive Modeling Innovations | Best Researcher Award

Keldysh Institute of Applied Mathematics, Russian Academy of Sciences | Russia

Dr. Alexander Churbanov is a senior scientist at the Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, specializing in mathematical modeling, computational fluid dynamics (CFD), and coupled physical phenomena in porous media and viscous flows. He received his M.S. and Ph.D. degrees in Mathematical Modeling from Lomonosov Moscow State University in 1978 and 1988, respectively, with his doctoral thesis focused on numerical simulation of convective phenomena in technological facilities. Dr. Churbanov began his career as an engineer developing training systems for Soviet orbital flights at the Bureau of Space Research “ENERGIA” and later contributed to semiconductor material production modeling at the State Institute of Rare Metals Industry. Since 1988, he has served as a Senior Scientist at Keldysh Institute, where his research emphasizes the development of efficient algorithms and codes for CFD applications. He has authored 34 documents, including 25 SCI/Scopus-indexed journal papers, and his work has been cited 240 times, yielding an h-index of 8. His research interests encompass incompressible and slightly compressible viscous flows, coupled phenomena, open-source CFD software, and predictive modeling innovations. Recognized for contributions to mathematical modeling of coupled physical systems, Dr. Churbanov continues to advance computational methods, bridging theory and practical applications in engineering and applied sciences.

Profiles : Scopus | Orcid

Featured Publications

Churbanov, A. G., Churbanova, N. G., & Trapeznikova, M. A. (2023). “Coupled Prediction of Flows in Domains Containing a Porous Medium and a Free Stream.” Mathematical Models and Computer Simulations.

Churbanova, N. G., Trapeznikova, M. A., Churbanov, A. G., & Emets, V. V. (2023). “Prediction of Flows in an Automotive Catalytic Converter.” In Systems of Signals Generating and Processing in the Field of On-Board Communications, SOSG 2023 – Conference Proceedings.

Podryga, V. O., Churbanov, A. G., Tarasov, N. I., Polyakov, S. V., Trapeznikova, M. A., & Churbanova, N. G. (2022). “Multiscale Approach for Modeling Multiphase Fluid Flows in Installations for Reprocessing of Natural Gas.” Lobachevskii Journal of Mathematics.

Churbanov, A., Churbanova, N., Polyakov, S., & Trapeznikova, M. (2021). “Coupled Calculations of Flows in Domains Including a Porous Medium and a Homogeneous Fluid.” In Proceedings – 2021 Ivannikov Memorial Workshop, IVMEM 2021.

Polyakov, S. V., Trapeznikova, M. A., Churbanov, A. G., & Churbanova, N. G. (2021). “Prediction of Incompressible Flows in a Porous Medium-Free Stream System.” Keldysh Institute Preprints.

Raquel Gaspar | Financial Data Analysis | Best Researcher Award

Published on by Research Data Analysis

Prof. Raquel Gaspar | Financial Data Analysis | Best Researcher Award

ISEG, Universidade de Lisboa | Portugal

Prof. Raquel M. Gaspar is an Associate Professor of Finance with Habilitation at ISEG – Universidade de Lisboa, where she coordinates the Scientific Area of Finance and the Master in Finance program. She earned her PhD in Finance from the Stockholm School of Economics in 2006, focusing on credit risk and forward price models under the supervision of Prof. Tomas Björk, following an MSc in Mathematics Applied to Economics and Management from ISEG. Her research interests include mathematical and computational finance, credit risk modeling, asset pricing, stochastic processes, portfolio management, and risk analysis. Prof. Gaspar has extensive teaching experience at ISEG and internationally, including Stockholm Business School and Universidad Complutense de Madrid. She has supervised multiple PhD and MSc theses in finance and actuarial science, with an emphasis on quantitative methods and applied finance. Her scientific contributions are reflected in 329 citations, an h-index of 10, and 13 i10-index publications, according to Google Scholar. She has authored several pedagogical materials and textbooks and participates actively in research projects under CEMAPRE/REM. Recognized for her pedagogical innovation and leadership, Prof. Gaspar continues to contribute to the development of financial education and quantitative finance research in Portugal and abroad.

Profiles : Scopus | Orcid

Featured Publications

Gaspar, R. M., & Silva, P. M. (2023). Investors’ perspective on portfolio insurance: Expected utility vs prospect theories. Portuguese Economic Journal.

França, R., & Gaspar, R. M. (2023). On the bias of the unbiased expectation theory. Mathematics.

Gaspar, R. M., & Khapko, M. (2023, October). In memoriam: Tomas Björk (1947–2021), on his career and beyond. Finance and Stochastics.

Almeida, J., & Gaspar, R. M. (2023, July 25). Portfolio performance of European target prices. Journal of Risk and Financial Management.

Céu, M. S., & Gaspar, R. M. (2022, December 21). Vegetative cycle and bankruptcy predictors of agricultural firms. Agricultural Economics (Zemědělská ekonomika), 0139-570X / 1805-9295.