Florinela Sirbu l Chemical Thermodynamics | Research Excellence Award

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Dr. Florinela Sirbu l Chemical Thermodynamics | Research Excellence Award

Institute of Physical Chemistry “Ilie Murgulescu | Romania

Dr. Florinela Sirbu is a senior research scientist in physical chemistry with long-standing expertise in chemical and electrochemical thermodynamics. She holds a Ph.D. in Chemistry, a postgraduate diploma in advanced studies, and a bachelor’s degree in biochemical engineering, with sustained research experience at a national research institute. Her professional work focuses on experimental determination and modeling of thermophysical properties of electrolyte and non-electrolyte systems, including biomolecule-containing aqueous solutions. Her research skills include advanced density and sound-speed measurements, electrochemical methods, conductivity analysis, and application of classical and modern thermodynamic models, reflecting significant contributions to experimental data generation, theoretical modeling, and scientific research advancement.

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Featured Publications

Partial Molar Volumes, Isentropic Compressibilities, and Partial Molar Expansibilities of N-Methylglycine and D-Glucose in Aqueous Environments

– Journal of Molecular Liquids, 218, 515–524, 2016
Densities, Speeds of Sound, Refractive Indices, Viscosities and Related Thermodynamic Properties for n-Hexadecane + Two Aromatic Hydrocarbons Binary Mixtures

– The Journal of Chemical Thermodynamics, 128, 383–393, 2019
Activity Coefficients of Electrolytes in the NaCl + Na2SO4 + H2O Ternary System from Potential Difference Measurements

– Journal of Chemical & Engineering Data, 56(12), 4935–4943, 2011
Radiochemical Investigations on Natural Mineral Waters from the Bucovina Region, Romania

– Romanian Journal of Physics, 61(5–6), 1051–1066, 2016
Thermophysical Properties of n-Hexadecane + Some Alkylbenzenes Binary Mixtures at Temperatures from 298.15 K to 318.15 K

– Journal of Molecular Liquids, 237, 208–215, 2017

Akiko Morimoto l Data Analysis | Research Excellence Award

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Prof. Akiko Morimoto l Data Analysis | Research Excellence Award

Osaka Metropolitan University | Japan

Prof. Akiko Morimoto is a senior academic leader and researcher in nursing informatics with a doctoral background in health sciences and extensive experience in higher education and research governance. She holds a Ph.D. in Health Sciences and has progressed through lecturer, associate professor, and professor roles, alongside senior university leadership responsibilities. Her research interests center on nursing informatics, nursing data science, evidence-based practice, cardiovascular epidemiology, and health communication. Her research skills include epidemiological analysis, health data analytics, evidence synthesis, program evaluation, and scholarly publishing, with multiple awards and national committee roles underscoring her sustained contributions to nursing science, education innovation, and evidence-based healthcare advancement.

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Featured Publications

Associations of Total Daily Working Hours Encompassing Unpaid Care and Domestic Work with Nonrestorative Sleep and Mental Health

– Social Science & Medicine, 2026
Social Determinants of Health Associated with Underweight among Middle-Aged Japanese Men and Women

– Frontiers of Nursing, 2025 (in press)
Current State of the Experience of Receiving Evidence-Based Practice Education

– NSC Nursing, 4(4), 64–104, 2025
Development and Evaluation of a Clinical Scenario‐Based Education Program

– Japan Journal of Nursing Science, 22(4), 2025
Risk for Physical Inactivity Due to Inadequate Health Literacy

– Frontiers of Nursing, 2025

Yingchun Niu l Data Processing | Research Excellence Award

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Mr. Yingchun Niu l Data Processing | Research Excellence Award

Hebei University | China

Mr. Yingchun Niu is a researcher in intelligent information processing with a doctoral background in Control Science and Engineering and strong expertise in artificial intelligence and computer vision. He holds a Ph.D., M.S., and B.S. in engineering and computing-related disciplines and has professional experience as a researcher and faculty member in cyberspace security and computer science. His research interests include point cloud semantic segmentation, uncertainty-aware learning, big data analytics, and visual understanding. His research skills cover deep learning, weakly supervised learning, 3D vision, model uncertainty estimation, and SCI journal publishing, with scholarly recognition demonstrated through high-impact international publications contributing to trustworthy and efficient intelligent perception systems.

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Featured Publications

Weakly Supervised Point Cloud Semantic Segmentation with the Fusion of Heterogeneous Network Features

– Image and Vision Computing, 2024
Beyond Accuracy: More Trustworthy Weakly Supervised Point Cloud Semantic Segmentation with Primary–Auxiliary Structure

– Computers & Electrical Engineering, 2024
Weakly Supervised Point Cloud Semantic Segmentation Based on Scene Consistency

– Applied Intelligence, 2024
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-Aware Semantic Segmentation in Point Clouds

– IEEE Transactions on Geoscience and Remote Sensing, 2023
Beyond-Skeleton: Zero-Shot Skeleton Action Recognition Enhanced by Supplementary RGB Visual Information

– Expert Systems with Applications, 2025

Gitika Sharma l Oral pathology | Research Excellence Award

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Assist. Prof. Dr. Gitika Sharma l Oral pathology | Research Excellence Award

Sudha rustagi college of dental sciences and research | India

Assist. Prof. Dr. Gitika Sharma is an oral pathologist and academic researcher with strong training in diagnostic pathology, molecular research, and undergraduate teaching. She holds BDS and MDS degrees in Oral Pathology and has professional experience as junior resident, senior resident, and faculty, with extensive involvement in teaching and academic mentoring. Her research interests focus on oral squamous cell carcinoma, salivary gland tumors, immunohistochemistry, molecular diagnostics, cell culture, and drug testing. Her research skills include histopathological evaluation, ELISA, immunohistochemistry, systematic reviews, meta-analysis, and scientific writing, supported by numerous peer-reviewed publications and a scholarly book, reflecting sustained contributions to oral pathology research and clinical diagnostics.

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Apoorva Gupta l Economics of Education | Best Researcher Award

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Dr. Apoorva Gupta l Economics of Education | Best Researcher Award

Hansraj College | India

Dr. Apoorva Gupta is an economist with a Ph.D. from Delhi School of Economics, specializing in development economics with a focus on education, health, gender, caste, and social mobility. With extensive teaching experience at Ramjas College and Hansraj College, Dr. Apoorva Gupta has instructed courses in microeconomics, macroeconomics, econometrics, development economics, and data analysis. Her research integrates social networks and intergenerational mobility, supported by experience as a senior research assistant and multiple fellowships. Proficient in Stata, R, and MS Office, Dr. Apoorva Gupta has received awards including Best Paper at the G20 Conference and excels in academic leadership, research, and policy-oriented economic analysis.

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Featured Publications

Exploring the Linkage between Education and Financial Autonomy of Women Working in the Urban Informal Sector
– Economic & Political Weekly, 2025, 60(31), 29
Article · Co-author
Do school facilities increase school enrolment? Evidence from primary school enrolment in India
– Indian Economic Review, 2025, 1-29
Article · Co-author
Probing the linkages between educational level and occupational choices of women working in urban informal sector of India
– Work, 2024, 79(4), 1637-1652
Article · Co-author
Does domestic monetary policy affect foreign direct investment to India?
– Economics Bulletin, 2024, 44(1), 173-181
Article · Co-author
Determinants of income earned by women working in the urban informal sector in India: An empirical study
– Anwesak, 2024, 53(2), 72-86
Article · Co-author

Esther Babatunde l Data Analysis Software | Research Excellence Award

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Dr. Esther Babatunde l Data Analysis Software | Research Excellence Award

 University of Ilorin | Nigeria

Dr. Esther Babatunde is a Senior Lecturer and Postdoctoral Research Fellow specializing in chemical engineering with expertise in renewable energy, biomass and solid waste management, clean fuel reaction engineering, and process optimization. She earned her PhD and M.Eng. from the Federal University of Technology, Minna, and B.Tech. from Ladoke Akintola University of Technology. With extensive teaching and research experience, she has contributed to sustainable energy solutions and process innovations. Dr. Babatunde has received multiple awards, including the Global Excellence Stature Award and Q1 Publications Award. Her work bridges academia and industry, advancing clean energy technologies and chemical engineering research.

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Ali Ali | Artificial Intelligence and water Resources Management | Research Excellence Award

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Dr. Ali Ali | Artificial Intelligence and water Resources Management | Research Excellence Award

Brunel University London | United Kingdom

Dr. Ali Ali is an emerging researcher and PhD student in Civil Engineering at Brunel University London, specializing in Artificial Intelligence applications for water resources management. He holds a BEng (Hons) in Civil Engineering from Brunel University and a Diploma with Distinction from Kaplan International College, demonstrating strong academic performance. Dr. Ali has extensive experience with civil engineering and computational software, including AutoCAD, Groundwater Modelling System (GMS), ABAQUS, MATLAB, and programming languages Python and R, enabling advanced modeling, simulation, and data analysis. He has applied his expertise in designing steel and concrete structures while addressing economic, social, and environmental challenges. His professional experience includes multiple Graduate Teaching Assistant roles in Civil Engineering and Computer Science, supporting both undergraduate and master’s students with lab sessions, course material, tutoring, and programming instruction. Additionally, he gained practical industry experience through internships in project management and turbomachinery design, enhancing his skills in project coordination and operational efficiency. Dr. Ali’s research interests focus on optimizing water resources management using AI, sustainable infrastructure design, and hydrological modeling. He has contributed to academic documents, reports, and simulations, with ongoing work aimed at publication in peer-reviewed journals. His work demonstrates a commitment to bridging theoretical research and practical engineering solutions, advancing innovation in civil and environmental engineering.

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Featured Publication

Aquifer-specific flood forecasting using machine learning: A comparative analysis for three distinct sedimentary aquifers – Science of the Total Environment, 2025 | Open Access

Jose Uberos | Neuroscience Data Analysis | Best Researcher Award

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Prof. Dr. Jose Uberos | Neuroscience Data Analysis | Best Researcher Award

Universidad de Granada | Spain

Prof. Dr. Jose Uberos is a distinguished pediatrician and full professor at the University of Granada, with extensive experience in clinical practice, research, and teaching. He earned his MD from the University of Granada in 1992, completed his doctoral studies at the same institution in 1994, and obtained a Master’s in Research Methodology and Statistics in Health Sciences from Universitat Autonoma de Barcelona in 2007. Since 1989, he has been actively involved in research through the Andalusian Plan for Research (PAIDI CTS-190) and the IBS-Granada group MP19, focusing on nutrition, metabolism, growth, and childhood development. His professional career includes serving as Head of Section in Pediatrics at the Hospital Universitario San Cecilio and participation in primary care teams. Prof. Uberos has published numerous high-impact journal articles, books, and book chapters, achieving an H-index of 27 and recognition through five national research sexenios and three teaching quinquenios. His research primarily addresses neonatal nutrition, bronchopulmonary dysplasia, retinopathy of prematurity, probiotics in preterm infants, and neurodevelopmental outcomes. He actively reviews manuscripts and research projects for prestigious journals and national institutions. His contributions significantly advance pediatric care, emphasizing evidence-based approaches and the critical role of early nutrition in long-term child health.

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Seema Irshad | Psychology | Women Researcher Award

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Dr. Seema Irshad | Psychology | Women Researcher Award

King Faisal University | Saudi Arabia

Dr. Seema Irshad is an Assistant Professor of Psychology with more than a decade of experience in higher education, research, and clinical practice. She earned her PhD in Psychology from Aligarh Muslim University, developing a strong academic foundation in psychological theory, research methodology, and applied practice. Her academic career has been primarily associated with a leading public university in the Kingdom of Saudi Arabia, where she has contributed extensively to undergraduate and graduate teaching, curriculum design, and academic coordination. Her teaching expertise spans abnormal psychology, cognitive processes, work motivation, and applied psychology, with a strong emphasis on student-centered and technology-enhanced learning. In parallel, she has been actively engaged in research through national and international collaborations, including earlier work as a research assistant and junior project fellow on large-scale public health and educational research projects. Her research interests focus on mental health, psychosocial interventions, psychometric assessment, systematic reviews, and the emerging role of artificial intelligence in psychological practice. She has published more than 20 scholarly papers and has presented research at numerous academic conferences. Her contributions include successful involvement in competitive research grants and sustained mentorship of students and early-career researchers. Overall, her work reflects a strong commitment to advancing psychological science, improving mental health outcomes, and fostering academic excellence through teaching, research, and mentorship.

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Rasha Fouad | Healthcare Data Analysis | Research Excellence Award

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Assist. Prof. Dr. Rasha Fouad | Healthcare Data Analysis | Research Excellence Award

 Kind Saud Bin Abdulaziz University for Health Sciences | Saudi Arabia

Prof. Dr. Rasha Fouad is a distinguished nursing scholar with a PhD in Nursing, specializing in community and gerontological health nursing. She earned her Bachelor’s, Master’s, and Doctorate degrees from Alexandria University. With over 29 years of professional experience, she has held key academic and leadership roles, including Professor of Gerontological Nursing, Head of Gerontological Nursing Department, Vice Dean for Community Service and Environmental Development, and Acting Dean. She has also contributed internationally as an Assistant Professor in Jordan and Saudi Arabia. Prof. Fouad has taught a wide range of courses at undergraduate and postgraduate levels, including gerontological nursing, psychosocial aspects of aging, nursing administration, community health, and research methodology. Her research interests focus on gerontological nursing, psychosocial well-being of older adults, community health, and nursing education. She is an active reviewer for several international journals and has conducted numerous workshops on research methods, academic enhancement, and simulation-based learning. Her dedication to advancing nursing education and research has earned her recognition for excellence, inspiring future generations of nursing professionals through her teaching, mentorship, and scholarly contributions.

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