Mmasechaba Lebogang Moropane l Environmental Sciences | Research Excellence Award

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Ms. Mmasechaba Lebogang Moropane l Environmental Sciences | Research Excellence Award

 University of the Western Cape | South Africa

Ms. Mmasechaba Lebogang Moropane is a Doctoral Researcher in Environmental and Water Sciences at the University of the Western Cape with an MSc (Summa Cum Laude) and BSc Honours in the same field. Her education integrates remote sensing, hydrology, geospatial analysis, machine learning, and big data analytics. Professionally, she serves as an Earth Science Departmental Research Assistant, supporting teaching and contributing to peer-reviewed journals, policy-oriented reports, and international conferences. Her research interests focus on groundwater-dependent ecosystems, non-perennial rivers, land degradation, and food–water security in semi-arid regions, employing advanced satellite analytics, AI, and XAI. She has received recognition through high-impact publications, peer-review roles, and national and international research collaborations, positioning her as a promising early-career researcher with strong interdisciplinary impact.

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Featured Publications

International Journal of Applied Earth Observation and Geoinformation, 2026
Mmasechaba L. Moropane; Cletah Shoko; Timothy Dube; Dominic Mazvimavi

Ali Raza Shaikh | Mechanical Engineering | Research Excellence Award

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Mr. Ali Raza Shaikh | Mechanical Engineering | Research Excellence Award

Technical University of Darmstadt | Germany

Ali Raza Shaikh is a dedicated mechanical engineer and researcher specializing in fluid mechanics, heat transfer, ice adhesion, aerodynamics, and surface-interface science. He holds a B.Eng. in Mechanical Engineering, an M.Eng. in Power Engineering and Engineering Thermophysics, and is currently pursuing a Dr.-Ing. in Mechanical Engineering. With extensive research and practical experience, he has developed experimental setups, conducted thermal-fluid and droplet impact studies, and contributed to advancements in superhydrophobic and anti-icing surfaces. He has served as a research assistant in the MSCA-ITN SURFICE project, conducted industrial research internships, and held graduate research positions, collaborating on international projects and presenting findings at leading conferences. His technical expertise spans experimental design, surface characterization, high-speed imaging, and numerical simulations, complemented by proficiency in MATLAB, Python, LabView, CAD, and LaTeX. His research interests focus on ice adhesion dynamics, surface wetting, thermal-fluid interactions, and functional surface design. Ali has actively participated in workshops and training schools worldwide, contributing to knowledge exchange and innovation in engineering applications. His dedication to advancing research and practical solutions in fluid mechanics and surface science underscores his commitment to scientific excellence and technological development.

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Featured Publications


Transient testing of tensile ice adhesion

– Cold Regions Science and Technology, 2025

Ice adhesion dynamics in the tensile mode

– Smart Surface Design for Efficient Ice Protection and Control, 2025

The physics of icing

– Smart Surface Design for Efficient Ice Protection and Control, 2025

Understanding the physics of ice adhesion on complex substrates

– International Conference on Icing of Aircraft, Engines, and Structure, 2023

Tianli Ding | Social Impact | Research Excellence Award

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Dr. Tianli Ding | Social Impact | Research Excellence Award

Northwest University | China

Dr. Ding Tianli is an Assistant Professor of Law whose scholarship centers on comparative law and intellectual property law, with particular emphasis on patent law, copyright law, and cross-border intellectual property protection. He earned a Doctor of Laws (LL.D.) through a joint doctoral program between Nanjing University and the University of Freiburg, where his training integrated Chinese and European legal traditions and methodologies. His academic experience includes teaching undergraduate and postgraduate courses such as Comparative Law, Intellectual Property Law, and Patent Law, alongside supervising graduate research in comparative legal systems and intellectual property disputes. Dr. Ding has also contributed to curriculum development and the strengthening of intellectual property law as a specialized discipline within legal education. International research experience as a research assistant at the University of Freiburg further enriched his expertise in comparative and international economic law with an East Asian focus. His research addresses the interaction between intellectual property protection, digital transformation, and governance, as well as interdisciplinary issues linking criminal law, psychology, and cognitive impairment. Dr. Ding has published in reputable international journals, reflecting both doctrinal and empirical approaches to contemporary legal challenges. Overall, his work aims to advance comparative legal understanding and support the development of effective intellectual property protection mechanisms in an increasingly globalized and digitalized legal environment.

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Featured Publication

Shawn (Xiaoguang) Chen | Public Policy | Research Excellence Award

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Dr. Shawn (Xiaoguang) Chen | Public Policy | Research Excellence Award

University of Western Australia | Australia

Dr. Shawn (Xiaoguang) Chen is an applied economist whose research spans public finance, taxation, misallocation, and development economics. With an h-index of 4, 9 scholarly documents, and 256 citations across 251 citing documents, he has contributed influential work to both international and top-tier Chinese journals. He holds dual PhDs from the London School of Economics and Peking University, supported by competitive scholarships including the LSE Postgraduate Research Scholarship. Dr. Chen is a Senior Lecturer at the University of Western Australia and has held visiting positions at Harvard Kennedy School, the University of Hong Kong, and the University of Toronto. His research particularly focuses on tax enforcement, VAT systems, government incentives, misallocation, and firm productivity in developing economies, especially China and Sri Lanka. He has secured major research grants from the Australian Academy of Social Sciences, China’s National Science Foundation, and multiple institutional programs. Recognized for scholarly excellence, he has received awards such as the Best Paper Award at the Public Finance Forum of China, the Gregory Chow Award, and early-career distinctions from the Western Australia Chinese Scientists Association. Dr. Chen continues to advance empirical public finance with policy-relevant insights rooted in rigorous causal identification.

Profile : Scopus

Featured Publications

Geng, H., Chen, S.X., & Wu, Y. (2025). “The displacement effects of US–China political tensions on China’s international and domestic research collaboration: Evidence from the ‘China Initiative’.” Scientometrics, 40(2), 289–337. https://doi.org/10.1007/s11192-025-05465-1

Chen, S.X. (2024). “Vulnerability to tax enforcement and spillover effect of corruption: Cross-industry evidence from China.” Journal of Law, Economics, and Organization. https://doi.org/10.1093/jleo/ewac019

Dewage Thilini Sumudu Kumari, R., Tang, S.H.K., & Chen, S.X. (2023). “Un-incorporation and conditional misallocation: Firm-level evidence from Sri Lanka.” B.E. Journal of Macroeconomics. https://doi.org/10.1515/bejm-2022-0107

Dewage Thilini Sumudu Kumari, R., Tang, S.H.K., Chen, S.X., & Li, B. (2023). “Can land misallocation be a greater barrier to development than capital? Evidence from manufacturing firms in Sri Lanka.” Economic Modelling. https://doi.org/10.1016/j.econmod.2023.106368

Mudiyanselage, H.K., & Chen, S.X. (2021). “What impairs the ‘money machine’ of VAT in developing countries?” International Tax and Public Finance. https://doi.org/10.1007/s10797-021-09705-x

Mahbouba Nasraoui | Regression Analysis | Research Excellence Award

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Dr. Mahbouba Nasraoui | Regression Analysis | Research Excellence Award

University of Burgundy | France

Dr. Mahbouba Nasraoui is a researcher and lecturer in finance whose work examines the intersections of economic policy uncertainty, ESG practices, market behavior, and corporate decision-making. She holds advanced academic qualifications, including a doctorate in finance, and has taught at institutions such as IAE Dijon and the Faculty of Economics and Management, where she has delivered courses in corporate finance, financial principles, management control, and derivatives. Her professional background spans higher education, professional training, and corporate financial management, offering her a multidisciplinary perspective that enriches her research and teaching. Dr. Nasraoui has published in reputable journals, including Economic Modelling and The Journal of Risk Finance, with studies exploring investment inefficiency, stock market liquidity, and investor sentiment. She has presented her work at several international conferences in France and Tunisia, contributing to discussions on sustainability, ethics, monetary policy, and financial markets. Her research interests include economic policy uncertainty, behavioral finance, ESG integration, financial decision-making, and market microstructure. In recognition of her academic engagement, she continues to collaborate with research teams and participate in scientific events. Dr. Nasraoui strives to advance knowledge in finance while fostering rigorous, engaged learning environments for her students.

Profile : Orcid

Featured Publications

Nasraoui, M., Ajina, A., & Herve, F. (2025). Economic Policy Uncertainty, ESG Practices, and Investment Inefficiency in U.S. Firms. Economic Modelling. https://doi.org/10.1016/j.econmod.2025.107414

Nasraoui, M., Ajina, A., & Kahloul, A. (2024). The influence of economic policy uncertainty on stock market liquidity? The mediating role of investor sentiment. The Journal of Risk Finance. https://doi.org/10.1108/JRF-06-2023-0129

Chulhwan Bang | Machine Learning and AI Applications | Best Researcher Award

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Dr. Chulhwan Bang | Machine Learning and AI Applications | Best Researcher Award

Georgia Southern University | United States

Dr. Chulhwan C. Bang is an Assistant Professor of Business Analytics and Information Systems at Georgia Southern University. He earned his Ph.D. in Business Management, specializing in Management Science and Systems with a minor in Communication, from the University at Buffalo, SUNY. With over a decade of academic and professional experience, Dr. Bang has taught a wide range of courses in business programming, information systems, and data analytics, integrating tools such as Python, SAP, Power BI, and Tableau. His research interests include big data analytics, cryptocurrency forecasting, social media analysis, deep learning, and sports analytics. He has published in top-tier journals such as Information Systems Frontiers and International Journal of Information Management and actively collaborates with students on applied data-driven projects. Prior to academia, he worked in the IT industry as a system architect and software developer, contributing to large-scale ERP and BI projects in Korea and the U.S. Dr. Bang has received multiple honors, including the Outstanding Research Award and finalist recognition for accelerator research grants. His work bridges theory and practice, fostering innovation in analytics education and advancing interdisciplinary research in business intelligence and emerging technologies.

Profile : Orcid

Featured Publications

Lee, Y. S., & Bang, C. C. (2022). Framework for the Classification of Imbalanced Structured Data Using Under-sampling and Convolutional Neural Network. Information Systems Frontiers.

Bang, C. C., Lee, J., & Rao, H. R. (2021). The Egyptian protest movement in the twittersphere: An investigation of dual sentiment pathways of communication. International Journal of Information Management.

Bang, C. C. (2020). Predicting Loyalty of Korean Mobile Applications: A Dual-Factor Approach. International Journal of Information and Communication Technology for Digital Convergence (IJICTDC).

Yu, J., Bang, C. C., & Oh, D.-Y. (2020). The Effect of Noncognitive Factors on Information Disclosure on Social Network Websites: Role of Habit and Affect. Southern Business & Economic Journal.

Kwon, K. H., Bang, C. C., Egnoto, M., & Rao, H. R. (2016). Social media rumors as improvised public opinion: semantic network analyses of Twitter discourses during Korean saber rattling 2013. Asian Journal of Communication.

Alexander Stolin | Engineering | Best Researcher Award

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Mr. Alexander Stolin | Engineering | Best Researcher Award

Merzhanov Institute of Structural Macrokinetics and Materials Science Russian Academy of Sciences (ISMAN) | Russia

Stolin Alexander Moiseevich is a distinguished materials scientist with a PhD and Doctor of Sciences degree, known for his pioneering contributions in the fields of self-propagating high-temperature synthesis (SHS), rheology, powder metallurgy, and solid-phase technologies. A graduate of Rostov State University, he began his scientific career at the Institute of Chemical Physics before joining ISMAN, where he has led the Laboratory of Plastic Deformation of Inorganic Materials since 1988. With over 500 scientific publications, 50 patents and copyright certificates, and an h-index of 21, his work has significantly advanced the understanding of viscous flow in reacting systems and high-temperature materials processing. He has mentored 21 PhD students and 2 doctoral candidates and is actively involved in multiple editorial boards and scientific committees. He is a key figure in academic-industry collaborations, notably with United Company Rusal. His accolades include the title of Honored Inventor of the USSR, the G.V. Vinogradov Prize, the Gold Medal at the Moscow Salon of Innovations, and the Honored Scientist of the Moscow Region title. His research continues to shape advanced material development and education in Russia and internationally, with a strong commitment to mentoring and scientific leadership. His citation count exceeds 1000, supported by verified documents and indexed publications.

Profile : Scopus

Featured Publications

Stolin, A.M., [Co-authors]. (2025). Structure and properties of the surfacing layer obtained with a powder SHS electrode based on TiC–NiCr. Metallurgist.

Stolin, A.M., [Co-authors]. (2024). Cold Uniaxial Pressing of PTFE-Based Composite Materials with Functional TiC and TiB₂ Additives. Russian Metallurgy (Metally).

Stolin, A.M., [Co-authors]. (2024). Critical Phenomena of Rheodynamic Origin in the Process of One-Sided Cold Pressing of Powder Materials. Theoretical Foundations of Chemical Engineering.

Stolin, A.M., [Co-authors]. (2024). Distinctive Features of the Grain Size Reduction Process in a TiC–NiCr Material Produced by SHS Extrusion. Inorganic Materials.

Stolin, A.M., [Co-authors]. (2023). Structure, and Mechanical and Tribological Properties of Ti–Cr–C–Ni–Fe Composite Coatings. Physical Mesomechanics.

Huan Rong | Best Researcher Award | Data Analysis Innovation

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Huan Rong - Nanjing University of Information Science and Technology - Data Analysis Innovation🏆

Prof Huan Rong : Data Analysis Innovation

Professional profile:

Early Academic Pursuits:

Prof. Huan Rong embarked on his academic journey at Nanjing University of Information Science and Technology (NUIST), China. He earned his Bachelor's, Master's, and Ph.D. degrees in Computer Science from NUIST between 2009 and 2020. His academic progression demonstrated his commitment to computer science, setting the foundation for his subsequent research endeavors.

Professional Endeavors:

Following his educational journey, Prof. Huan Rong entered the professional realm by joining TrendMicro, CN as a Software Developer from 2016 to 2017. His practical experience outside academia enriched his skill set and provided a different perspective on software development and its applications.

Prof. Huan Rong then transitioned back to NUIST, initially as a Lecturer from 2020 to 2023 and subsequently as an Associate Professor from 2023 onwards. These roles marked his dedication to academia, where he delved deeper into research, mentorship, and shaping future professionals in the field of artificial intelligence.

Contributions and Research Focus:

His  contributions primarily revolve around a broad spectrum of research areas, including brain-inspired computation, data mining, deep learning, natural language processing, information security, and more. His work has been published in esteemed journals such as IEEE TKDE, ACM TKDD, and Neurocomputing, among others. His research projects, funded by notable organizations like the National Natural Science Foundation of China and the Natural Science Foundation of Jiangsu Province, emphasize the significance and impact of his work.

Accolades and Recognition:

His dedication to research and innovation has earned him various accolades and recognitions. Notably, he received the Jiangsu Province Higher Education Science and Technology Research Achievement Award for his work on social network data privacy protection and public opinion supervision in 2021. Furthermore, he was granted the title of Vice President of Science and Technology in Jiangsu Province in 2022, underscoring his influential role in the academic and technological landscape.

Impact and Influence:

With a plethora of publications and active involvement in committees like the Emotional Computing Committee of the Chinese Information Processing Society of China, Rong has made a significant impact on the academic community. His research and contributions have not only advanced the field but also influenced fellow researchers and professionals, evident from his roles as a journal reviewer for several prestigious publications.

Legacy and Future Contributions:

As Prof. Huan Rong continues his academic and research journey, his legacy is shaped by his dedication to advancing the field of artificial intelligence and its applications. His focus on brain-inspired computation, data mining, and other pivotal areas signifies his commitment to addressing contemporary challenges and pushing boundaries. Moving forward, Rong's future contributions are anticipated to further enrich the field, inspire upcoming researchers, and foster innovation in artificial intelligence and related domains.

Notable Publication:

Citations:

A total of 634 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations      :634
  • h-index         :17
  • Documents  :25

 

Naif Majrashi | Best Researcher Award | medical fields/Image and data analysis/Infectious diseases (TB)

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 Naif Majrashi - Jazan University - medical fields/Image and data analysis/Infectious diseases (TB)🏆

Assist Prof Dr Naif Majrashi : medical fields/Image and data analysis/Infectious diseases (TB)

Professional profile:

Early Academic Pursuits:

Naif Ali Ahmed Majrashi's academic journey began with a Bachelor of Diagnostic Radiology from Jazan University, Saudi Arabia. Following this, he pursued a Master of Science in Medical Imaging from the University of Aberdeen, UK, where he graduated with commendation. He further enhanced his academic credentials by completing his Ph.D. in Medical Imaging from the same institution, the University of Aberdeen, in 2020. His early academic endeavors laid a solid foundation for his subsequent professional achievements in the field of medical imaging.

Professional Endeavors:

Naif Majrashi has made significant strides in his professional career. Currently serving as an Assistant Professor at Jazan University, Saudi Arabia, he has been instrumental in teaching, research, and administration within the Diagnostic Radiography Technology Department. Additionally, his experience extends to serving as a Laboratory Demonstrator at the University of Aberdeen, UK. Throughout his career, he has showcased expertise in areas such as brain imaging, medical image analysis, machine learning, and radiation protection. His commitment to academic excellence is evident through his involvement in curriculum design, research supervision, and publication in reputable journals.

Contributions and Research Focus:

NM's research focus encompasses several pivotal areas within medical imaging, including brain imaging, environmental effects on the brain, machine learning applications, systematic reviews, and radiation protection. His publications reflect his dedication to advancing the field, with topics ranging from the relationship between chest CT severity score and COVID-19 pneumonia to the impact of photoperiod on brain volume and depressive symptoms. His research contributions have been published in renowned journals, contributing to the broader understanding of medical imaging techniques and applications.

Accolades and Recognition:

Throughout his academic and professional journey, Naif Majrashi has garnered several accolades and certifications that underscore his expertise and commitment to the field. Notably, he holds a Certified Senior Health Specialist in Diagnostic Radiology from the Saudi Commission For Health Sciences, among other certifications. His accomplishments include achieving a Data Driven-Scientist designation from the Massachusetts Institute of Technology (MIT) and a Certified Trainer of Trainees from the Saudi Commission For Health Sciences.

Impact and Influence:

NM's impact extends beyond his research contributions and professional roles. His involvement in teaching, mentoring, and supervising students has shaped the next generation of professionals in medical imaging and related fields. By fostering collaborative research, attending academic conferences, and sharing his expertise, he has contributed to the academic community's growth and development.

Legacy and Future Contributions:

As Naif Ali Ahmed Majrashi continues to advance in his career, his legacy is marked by a dedication to excellence, innovation, and collaboration in the field of medical imaging. His future contributions are anticipated to further shape the landscape of diagnostic radiography, machine learning applications, and research methodologies. Through ongoing research, mentorship, and academic leadership, NM's legacy will continue to inspire advancements in medical imaging and related disciplines.

Notable Publication:

Citations:

A total of 28 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations      :28
  • h-index         :12
  • Documents  :3

Sivasankari Ramalingam | Research article Recommendation | Women Researcher Award

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Mrs Sivasankari Ramalingam - SRM institute of science and technology - Research article Recommendation

Mrs Sivasankari Ramalingam : Research article Recommendation

Professional profile:

Early Academic Pursuits:

Sivasankari R. embarked on her academic journey with a Bachelor's degree in Computer Science from Fatima College, Madurai, in 2011. She continued her education by pursuing a Master's in Computer Applications (M.C.A) at Velammal College of Engineering and Technology, Madurai, graduating in 2014. Her commitment to academic excellence led her to further pursue a Ph.D. in Computer Science at SRM Institute of Science and Technology, Chennai, with a research focus on Data Mining and Knowledge Graph.

Professional Endeavors:

Sivasankari R. has demonstrated her dedication to academia by taking on the role of an Assistant Professor at the Department of Computer Science and Applications, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, from June 2018 to March 2020. In this capacity, she taught courses such as Social Network Analysis, Android Application Development, and Cloud Computing to postgraduate students.

Currently, she is engaged in advanced research as a Research Scholar in the same department at SRM Institute of Science and Technology, Ramapuram Campus, since February 2021. Her focus area includes Text Mining and Recommendation Systems.

Contributions and Research Focus:

Sivasankari's research contributions are noteworthy, with publications in reputed journals and chapters in recognized books. Notable works include a Scopus-indexed journal article titled "Hybrid scientific article recommendation system with COOT optimization" and a Scopus-indexed book chapter on the "Impact of Machine Learning Algorithms in Decision-Making With Serious Games in the Education and Healthcare Sectors."

Her research extends to areas like scientific paper recommendation systems, machine learning algorithms in decision-making, and content-based filtering algorithms for computer science research article recommendations. Additionally, she has contributed to the understanding of email classification based on user preference ontology and Naïve Bayes Theorem.

Accolades and Recognition:

Sivasankari has earned certifications in "Database Management System" and "Introduction to Internet of Things" through NPTEL, showcasing her commitment to staying updated with evolving technologies. Furthermore, she qualified as an Assistant Professor in UGC Net in 2018.

Impact and Influence:

As both a teacher and a researcher, Sivasankari has made a positive impact on her students and the academic community. Her research addresses contemporary challenges in computer science, contributing to the development of recommendation systems and decision-making processes.

Legacy and Future Contributions:

Sivasankari's legacy lies in her dual role as an educator and researcher. Her current focus on text mining and recommendation systems is poised to contribute significantly to the advancement of these fields. As she continues her research pursuits and teaching endeavors, she is likely to leave a lasting impact on the field of computer science and inspire future generations of students.

Notable Publications: