Sixten Harborg | Epidemiology | Best Researcher Award

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Dr. Sixten Harborg | Epidemiology | Best Researcher Award

Dr. Sixten Harborg | Epidemiology | Clinical Research Fellow at Aarhus University Hospital | Denmark

Epidemiology Dr. Sixten Harborg is a physician-scientist specializing in clinical oncology and population-based cancer research, with a strong focus on obesity-related survival disparities in breast cancer. Dr. Sixten Harborg earned his MD from Aarhus University and is completing a fully funded PhD in Clinical Oncology, complemented by extensive international research training at Harvard-affiliated institutions. Dr. Sixten Harborg currently serves as a Junior Doctor in Orthopaedic Surgery and a Clinical Research Fellow in Oncology while maintaining global research collaborations across Europe, the United States, and Oceania. His research interests center on cancer epidemiology, metabolic risk factors, prevention strategies, and guideline development. Dr. Sixten Harborg’s research skills include epidemiologic analysis, clinical trial collaboration, scientific communication, and leadership in international oncology initiatives. His awards include multiple ESMO Young Oncologists Merit Awards and prestigious recognitions from AACR and ESMO. In conclusion, Dr. Sixten Harborg represents a rising leader in epidemiology, advancing evidence-based cancer prevention and clinical practice worldwide.

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Featured Publications

New horizons: epidemiology of obesity, diabetes mellitus, and cancer prognosis
– The Journal of Clinical Endocrinology & Metabolism, 2024
Overweight and prognosis in triple-negative breast cancer patients: a systematic review and meta-analysis
– NPJ Breast Cancer, 2021
Statin use and breast cancer recurrence in postmenopausal women treated with adjuvant aromatase inhibitors: a Danish population-based cohort study
– Breast Cancer Research and Treatment, 2020
Obesity and risk of recurrence in patients with breast cancer treated with aromatase inhibitors
– JAMA Network Open, 2023
Post-diagnostic statin use and breast cancer-specific mortality: a population-based cohort study
– Breast Cancer Research and Treatment, 2023

Kashif Mazhar | Computer Science | Research Excellence Award

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Mr. Kashif Mazhar | Computer Science | Research Excellence Award

Mr. Kashif Mazhar | Computer Science | Research Scholar at Motilal Nehru National Institute of Technology Allahabad | India

Computer Science professional Mr. Kashif Mazhar is an accomplished Assistant Professor and Doctoral Researcher recognized for his strong academic foundation and impactful research in Artificial Intelligence and Data Science. Mr. Kashif Mazhar currently serves as an Assistant Professor in the School of Computer Science (Data Science Cluster) at the University of Petroleum and Energy Studies (UPES), Dehradun, while pursuing his Ph.D. at Motilal Nehru National Institute of Technology (MNNIT) Allahabad, where his doctoral research focuses on Explainable Artificial Intelligence (XAI) for brain tumor MRI classification and segmentation using advanced deep learning models integrated with LIME, SHAP, and Grad-CAM. Mr. Kashif Mazhar holds an M.Tech and B.Tech from the University of Allahabad and has over five years of combined teaching and research experience, including roles as Teaching Assistant at MNNIT Allahabad, Researcher at IIM Jammu, and Data Science Instructor at Simplilearn. His research interests span Explainable AI, Medical Imaging, Social Network Analysis, and AI-driven financial analytics, supported by strong research skills in Python, data analysis, supervision, and scientific reporting. Mr. Kashif Mazhar has published in high-impact Q1 journals and is UGC-NET qualified and GATE certified, reflecting his academic excellence and competitive merit. In conclusion, Mr. Kashif Mazhar exemplifies a forward-looking academic whose interdisciplinary expertise, teaching leadership, and commitment to trustworthy AI position him as a promising contributor to future advancements in Computer Science.

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Featured Publications

Model-agnostic explainable artificial intelligence methods in finance: a systematic review, recent developments, limitations, challenges and future directions
– Artificial Intelligence Review, 2025
Decoding the black box: LIME-assisted understanding of Convolutional Neural Network (CNN) in classification of social media tweets
– Social Network Analysis and Mining, 2024
A survey on methods for explainability in deep learning models
– International Conference on Machine Intelligence, Tools, and Applications, 2024

Xiuli Chen | Intelligence Studies | Outstanding Academic Achievement Award

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Dr. Xiuli Chen | Intelligence Studies | Outstanding Academic Achievement Award

Dr. Xiuli Chen | Intelligence Studies | Researcher at Hanyang University | South Korea

Intelligence Studies Dr. Xiuli Chen is a Senior Lecturer specializing in Artificial Intelligence and Meta-Geopolitical Studies, with strong expertise in competitive intelligence across business, education, social, and health sectors. Dr. Xiuli Chen earned a Ph.D. in Global Strategy and Intelligence Studies from Hanyang University, an M.Ed. from the University of Bristol, and a B.A. from Peking University. Dr. Xiuli Chen’s professional experience includes IBM AI Developer certification, editorial board service, and extensive peer-review contributions. Research interests focus on AI-driven ecosystems, sustainability, meta-geopolitics, and innovation policy, supported by advanced research skills in intelligence analysis and qualitative strategy. Dr. Xiuli Chen has received Climate Action recognition, concluding as a globally impactful intelligence scholar.

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Featured Publications

Digital Mental Health for Young People: Sustainably Managing Stress and Anxiety

– Mental Health and Digital Technologies, 2025
AI-Enhanced Academic Entrepreneurship in K-12 Climate Education in China

– Preprint, 2025
Improving Ethical Leadership in Sustainable Public Health Through Fractal AI

– European Journal of Applied Science, Engineering and Technology, 2025
Advancing AI in Healthcare through Professional Training: Insights from Chinese Practitioners

– Scientia: Technology, Science and Society, 2025

Impact of Geopolitical Conflicts on Education: Challenges for Mixed and Immigrant Families in East Asia

– Journal for Multicultural Education, 2025

Unius Arinaitwe | Soil Health | Research Excellence Award

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Dr. Unius Arinaitwe | Soil Health | Research Excellence Award

Dr. Unius Arinaitwe | Soil Health | Postdoctoral Research Scientist at South Dakota State University | United States

Soil Health defines the academic and professional journey of Dr. Unius Arinaitwe, a dedicated crop and soil environmental scientist whose work integrates sustainable agriculture, adaptive management, and data-driven decision-making. Dr. Unius Arinaitwe holds a Ph.D. in Crop and Soil Environmental Science from Virginia Tech, complemented by an M.S. in Plant Science from South Dakota State University, a B.S. in Horticulture Science from Makerere University, and an Associate Diploma in Crop Production, Management, and Extension from Bukalasa Agricultural College. Professionally, Dr. Unius Arinaitwe has contributed extensively through research appointments at leading institutions, including advanced work in the McFadden Biostress Lab, focusing on irrigation systems, crop resilience, and performance optimization under variable environmental conditions. Research interests of Dr. Unius Arinaitwe center on soil health management, sustainable cropping systems, subsurface drip irrigation, genotype–environment interactions, and climate-smart agriculture. His research skills include experimental design, field and greenhouse trials, soil and crop data analysis, precision agriculture tools, and scientific publishing. Dr. Unius Arinaitwe has earned strong academic distinctions through consistently high GPAs and impactful thesis research across multiple agricultural systems. In conclusion, Dr. Unius Arinaitwe exemplifies scientific rigor, interdisciplinary expertise, and a forward-looking commitment to improving soil health and global agricultural sustainability through applied research and innovation.

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Featured Publications

Growth, yield, and yield stability of canola in the Northern Great Plains of the United States
U. Arinaitwe, S.A. Clay, T. Nleya – Agronomy Journal, 115(2), 744–758 | Cited by 6 (2023)
Unlocking the Potential of Biostimulants: A Review of Classification, Mode of Action, Formulations, Efficacy, Mechanisms, and Recommendations for Sustainable Intensification
U. Arinaitwe, D.N. Yabwalo, A. Hangamaisho – International Journal of Plant Biology, 16(4), 122 | Cited by 3 (2025)
Optimizing Maize Agronomic Performance Through Adaptive Management Systems in the Mid-Atlantic United States
U. Arinaitwe, W. Thomason, W.H. Frame, M.S. Reiter, D. Langston – Agronomy, 15(5), 1059 | Cited by 3 (2025)
Poor Emergence of Brassica Species in Saline–Sodic Soil Is Improved by Biochar Addition
T. Nleya, S.A. Clay, U. Arinaitwe – Agronomy, 15(4), 811 | Cited by 2 (2025)
Optimizing Corn and Cotton Performance with Adaptive Management Systems and Subsurface Drip Irrigation in the Mid-Atlantic USA
U. Arinaitwe – Virginia Tech | Cited by 2 (2025)

Maurizio Benfatto | Complexity in Biology | Distinguished Scientist Award

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Prof. Dr. Maurizio Benfatto | Complexity in Biology | Distinguished Scientist Award

Prof. Dr. Maurizio Benfatto | Complexity in Biology | First Researcher at National Institute for Nuclear Physics | Italy

Complexity in Biology defines the interdisciplinary vision and scientific journey of Prof. Dr. Maurizio Benfatto, a distinguished theoretical physicist whose career bridges fundamental physics, synchrotron radiation science, and biologically inspired complex systems. Prof. Dr. Maurizio Benfatto earned his Doctoral Degree (Laurea) in Theoretical Physics from the University of Pisa, Italy, and went on to build an internationally respected career through postdoctoral fellowships at INFN Frascati and Stanford University, followed by long-term research leadership at the Laboratori Nazionali di Frascati (INFN), where he served as Senior Researcher and later Senior Associate. His professional experience also includes an Associate Professorship at Zaragoza University and qualification as Full Professor in Theoretical Physics of Matter. Prof. Dr. Maurizio Benfatto’s research interests center on complexity in biological and condensed matter systems, synchrotron and free-electron laser radiation, theoretical modeling, and computational approaches for biological applications. His research skills span theoretical physics, advanced computation, X-ray spectroscopy, synchrotron-based methodologies, and interdisciplinary data interpretation. Prof. Dr. Maurizio Benfatto has received notable honors, including appointment as Visiting Professor for Senior Scientist by the Chinese Academy of Sciences and leadership roles in major European scientific committees and Marie-Curie projects. In conclusion, Prof. Dr. Maurizio Benfatto stands as a globally influential scientist whose work on complexity in biology and advanced radiation techniques has significantly shaped modern theoretical and applied research.

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Featured Publications

Structural Determination of a Short-Lived Excited Iron (II) Complex by Picosecond X-Ray Absorption Spectroscopy

W. Gawelda, V.T. Pham, M. Benfatto, et al. – Physical Review Letters, 98(5), 057401 (2007) · Cited by: 292
General Multiple-Scattering Scheme for the Computation and Interpretation of X-Ray Absorption Fine Structure

T.A. Tyson, K.O. Hodgson, C.R. Natoli, M. Benfatto – Physical Review B, 46(10), 5997 (1992) · Cited by: 286
A Unifying Scheme for the Interpretation of X-Ray Absorption Spectra Based on Multiple-Scattering Theory

C.R. Natoli, M. Benfatto – Journal de Physique Colloques, 47(C8), C8-11–C8-23 (1986) · Cited by: 272
Geometrical Fitting of Experimental XANES Spectra by a Full Multiple-Scattering Procedure

M. Benfatto, S. Della Longa – Journal of Synchrotron Radiation, 8(4), 1087–1094 (2001) · Cited by: 264
Critical Reexamination of Orbital Ordering in LaMnO3 and La0.5Sr1.5MnO4

M. Benfatto, Y. Joly, C.R. Natoli – Physical Review Letters, 83(3), 636 (1999) · Cited by: 249
Multiple-Scattering Regime and Higher-Order Correlations in X-Ray Absorption Spectra of Liquid Solutions

M. Benfatto, C.R. Natoli, A. Bianconi, et al. – Physical Review B, 34(8), 5774 (1986) · Cited by: 238

Kira Phan | Medical Note Classification | Research Excellence Award

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Ms. Kira Phan | Medical Note Classification | Research Excellence Award

Ms. Kira Phan | Medical Note Classification | Undergraduate Student at California State University | United States

Medical Note Classification is a core focus of Ms. Kira Phan, an emerging computer science researcher and undergraduate scholar pursuing a Bachelor of Science in Computer Science & Engineering at California State University, San Bernardino, with an expected graduation in May 2028. Ms. Kira Phan has developed a strong academic foundation in computational thinking, software development, and applied machine learning through rigorous coursework and hands-on research. As a Research Assistant in the Department of Computer Science & Engineering, Ms. Kira Phan has played a key role in preprocessing datasets, creating data frames, and developing a machine learning program designed to classify medical notes into distinct medical categories, where she also fine-tuned model performance, improved accuracy, built the first functional prototype, and presented the work at a peer and faculty research conference. Her professional experience further includes teaching and tutoring with the Fontana Unified School District, where Ms. Kira Phan provided individualized instruction in U.S. History, mathematics, and Earth Science, demonstrating strong communication and mentoring skills. Her research interests center on medical note classification, applied machine learning, healthcare data analysis, and ethical AI systems. Ms. Kira Phan’s research skills include proficiency in Python, C++, Google Colab, data preprocessing, model optimization, collaborative development, and technical documentation. Her awards and honors include the Mojave Desert Gem and Mineral Society Scholarship, Middle Class Scholarship, College Corps Program, and participation in the PATHS Summer Research Program. In conclusion, Ms. Kira Phan represents a promising future researcher whose interdisciplinary skills, academic excellence, and commitment to impactful healthcare-driven computing position her for continued success in advanced research and innovation.

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Featured Publications


Comparative Study of Machine Learning Models for Textual Medical Note Classification

Computers, 2025  |  Journal Article

DOI: 10.3390/computers15010007  |  ISSN: 2073-431X

Author: Kira Phan

Kawthar Abla | Nanotechnology | Women Researcher Award

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Assist. Prof. Dr. Kawthar Abla | Nanotechnology | Women Researcher Award

Assist. Prof. Dr. Kawthar Abla | Nanotechnology | Assistant professor at Beirut Arab University | Lebanon

Nanotechnology Assist. Prof. Dr. Kawthar Abla is an accomplished academic and researcher specializing in pharmaceutical nanotechnology and advanced drug delivery systems, currently serving as Assistant Professor at Beirut Arab University and Postdoctoral Researcher at the American University of Beirut. Assist. Prof. Dr. Kawthar Abla holds a Bachelor’s degree in Pharmacy, a Master’s degree in Pharmaceutical Sciences, and a Ph.D. in Pharmaceutical Sciences with a strong focus on nanoparticulate drug delivery to overcome biological barriers. Assist. Prof. Dr. Kawthar Abla’s professional experience spans teaching, biomedical engineering research, and interdisciplinary collaboration. Her research interests include nanovehicle-based drug delivery, biomedical nanotechnology, and translational pharmaceutical sciences. Her research skills cover formulation, characterization, experimental design, and data analysis. Assist. Prof. Dr. Kawthar Abla has earned notable recognition, including the LIRA Fund award and honors from women-in-research initiatives. In conclusion, Assist. Prof. Dr. Kawthar Abla exemplifies emerging leadership and innovation in nanotechnology-driven pharmaceutical research.

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Featured Publications

Freeze-drying: A flourishing strategy to fabricate stable pharmaceutical and biological products
KK Abla, MM Mehanna – International Journal of Pharmaceutics, 628, 122233 (2022) · Cited by 79
Smart stimuli-responsive liposomal nanohybrid systems: A critical review of theranostic behavior in cancer
JK Alwattar, AT Mneimneh, KK Abla, MM Mehanna, AN Allam – Pharmaceutics, 13(3), 355 (2021) · Cited by 49
Superiority of microemulsion-based hydrogel for non-steroidal anti-inflammatory drug transdermal delivery
MM Mehanna, KK Abla, S Domiati, H Elmaradny – International Journal of Pharmaceutics, 622, 121830 (2022) · Cited by 42
Tailored limonene-based nanosized microemulsion: Formulation, physicochemical characterization and in vivo skin irritation assessment
MM Mehanna, KK Abla, HA Elmaradny – Advanced Pharmaceutical Bulletin, 11(2), 274 (2020) · Cited by 38
Propranolol-loaded limonene-based microemulsion thermo-responsive mucoadhesive nasal nanogel
KK Abla, S Domiati, R El Majzoub, MM Mehanna – Gels, 9(6), 491 (2023) · Cited by 34
Application of Box-Behnken design in the preparation, optimization, and in-vivo pharmacokinetic evaluation of oral tadalafil-loaded niosomal film
KK Abla, AT Mneimneh, AN Allam, MM Mehanna – Pharmaceutics, 15(1), 173 (2023) · Cited by 31

Daniela Rizzo | Artistic Techniques | Women Researcher Award

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Prof. Daniela Rizzo | Artistic Techniques | Women Researcher Award

Prof. Daniela Rizzo | Artistic Techniques | Professor at University of Salento | Italy

Artistic Techniques define the academic and professional identity of Prof. Daniela Rizzo, a distinguished Italian scholar and practitioner in cultural heritage, artistic methodologies, and material culture studies. Prof. Daniela Rizzo is affiliated with the Department of Cultural Heritage at the University of Salento, where she has built a long-standing career combining technical expertise, academic teaching, and heritage promotion. Prof. Daniela Rizzo holds advanced education in the field of cultural and artistic heritage, complemented by continuous professional training in ethics, digital skills, sustainability, documentation systems, and inclusive cultural practices. Her professional experience spans permanent technical–scientific roles at the University of Salento since 2005, contract teaching in “Laboratory of Artistic Techniques,” international staff training at Université Paris 1 Panthéon-Sorbonne, coordination of exhibitions, cultural forums, and leadership of outreach initiatives for schools and communities. Prof. Daniela Rizzo’s research interests focus on artistic techniques, conservation of movable cultural assets, diagnostic methodologies for artistic materials, heritage tourism, and sustainable reuse of cultural resources. Her research skills include artistic material analysis, heritage documentation, database development, exhibition coordination, interdisciplinary collaboration, and public engagement. Prof. Daniela Rizzo has received professional recognition through career advancement selection, leadership appointments, and responsibility for nationally and regionally funded cultural projects. In conclusion, Prof. Daniela Rizzo represents a model of academic dedication, where artistic techniques, heritage science, education, and societal impact converge to preserve and reimagine cultural assets for future generations.

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Featured Publications 

A review of polymer-based materials for fused filament fabrication (FFF): focus on sustainability and recycled materials – Polymers, 2022 · Cited by 271

Development and characterization of sustainable PLA/Olive wood waste composites for rehabilitation applications using Fused Filament Fabrication (FFF) – Journal of Building Engineering, 2022 · Cited by 86

Sustainable polymer composites manufacturing through 3D printing technologies by using recycled polymer and filler – Polymers, 2022 · Cited by 54

Bio-composite filaments based on poly (lactic acid) and cocoa bean shell waste for fused filament fabrication (FFF): production, characterization and 3D printing – Materials, 2024 · Cited by 17

An innovative method for the recycling of waste carbohydrate-based flours – Polymers, 2020 · Highly Relevant Recent Work

Istikhar Ali | Mental Health | Best Academic Researcher Award

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Dr. Istikhar Ali | Mental Health | Best Academic Researcher Award

Dr. Istikhar Ali | Mental Health | Visiting Fellow at Institute of Policy Studies and Advocacy | India

Mental Health researcher Dr. Istikhar Ali is an interdisciplinary public health sociologist whose work examines how socio-political structures, inequality, and marginalization shape health behaviors and mental well-being. Dr. Istikhar Ali holds a PhD and M.Phil from Jawaharlal Nehru University, an MA in Sociology, and a B.Ed, with international exposure as a DAAD Visiting Fellow in Germany. Dr. Istikhar Ali’s professional experience spans policy research, large-scale health projects, academic teaching, and consultancy with institutions such as IPSA, Venu Geriatric Institute, Jamia Millia Islamia, and Mathematica. His research interests include mental health, minority studies, social stratification, and health policy, supported by strong skills in qualitative and quantitative analysis, teaching, and project leadership. Dr. Istikhar Ali has contributed to nationally and internationally funded projects, earning recognition for research excellence and academic mentorship, and continues to advance equitable, evidence-based approaches to mental health and social justice.

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Featured Publications

Methodological Considerations of Diet Assessment in an Older Indian Population in a Nationally Representative Longitudinal Study – Harmonised Diagnostic Assessment of Dementia for the Longitudinal Ageing Study in India
– BMC Public Health, Accepted 2025
Everyday Life of People Living with Dementia and Its Impact on Their Lifestyle
– The Journal of the Alzheimer’s Association, 2025
Discrimination in Healthcare: Exploring the Impact of Institutional Communalism on Muslims in India
– Economic and Political Weekly, 2024
Navigating Complexity: Challenges and Reflexivity of a Muslim Researcher
– Berkeley Journal of Sociology, 2024
Inequalities in Health and Nutritional Status in India: A Critical Review of NFHS and NNMB Datasets through a Public Health Perspective
– International Journal of Creative Research Thoughts, 2022
Globalisation, Medical Tourism and Indian Health Care System
– A.P.H. Publishing Corporation, 2018