Valeria Herdea | Medicine and Health Sciences | Cross-disciplinary Excellence Award

Dr. Valeria Herdea | Medicine and Health Sciences | Cross-disciplinary Excellence Award

Dr. Valeria Herdea | Medicine and Health Sciences | Senior Consultant Family Medicine at George Emil Palade University of Medicine | Romania

Dr. Valeria Herdea is a dedicated medical academic and researcher specializing in pediatrics, with a strong focus on advancing child health through evidence-based research and responsible medical communication. She is affiliated with the George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș, where her education and advanced academic training have provided a solid foundation in clinical pediatrics, public health, and research methodology. Her professional experience includes active involvement in academic research, scholarly writing, and collaborative projects that address critical issues in pediatric care, particularly the influence of medical information on parental decision-making and child health outcomes. Dr. Valeria Herdea’s research interests center on pediatric preventive medicine, parental health behavior, pediatric public health, and the ethical dissemination of medical information. Dr. Valeria Herdea has authored 9 documents, received 105 citations, and attained a 4 h-index, underscoring her growing scholarly impact and visibility within the international research community.

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Featured Publications

Assessing the Effects of Medical Information on Parental Self-Medication Behaviors for Children’s Health: A Comparative Analysis
– Medicina (Lithuania), Open Access

Citations: 1

Suraj Yadav | Data Science and Analytics | Research Excellence Award

Dr. Suraj Yadav | Data Science and Analytics | Research Excellence Award

Dr. Suraj Yadav | Data Science and Analytics | Postdoctoral Research Associate at Mississippi State University | United States

Dr. Suraj Yadav is an accomplished researcher and academic professional recognized for his significant contributions to radar remote sensing, precision agriculture, and artificial intelligence–driven geospatial analytics. Dr. Suraj Yadav holds a doctoral degree in Physics with specialization in radar remote sensing, supported by advanced academic training at premier institutions, where he developed a strong theoretical and experimental foundation in applied electromagnetics, bistatic and monostatic radar systems, and microwave scattering models. His professional experience spans postdoctoral and research-intensive roles within leading engineering and geoscience environments, where he has worked extensively on UAV-based sensing platforms, multispectral, hyperspectral, and LiDAR data integration, and physics-informed deep learning frameworks for resilient and autonomous agricultural systems. In the middle of his distinguished academic profile, it is noteworthy that Dr. Suraj Yadav has authored 213 documents, received 13,720 citations, and achieved an h-index of 66, underscoring his sustained global research influence and scholarly visibility.

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Featured Publications

Deep Transfer Learning for UAV-Based Cross-Crop Yield Prediction in Root Crops
– Remote Sensing, 2025 (Open Access)
Context-Aware Deep Learning Model for Yield Prediction in Potato Using Time-Series UAS Multispectral Data
– IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025 (Open Access)

Xue Li | Medicine and Health Sciences | Research Excellence Award

Mrs. Xue Li | Medicine and Health Sciences | Research Excellence Award

Mrs. Xue Li | Medicine and Health Sciences | Associate Professor | Shanghai University | China

Mrs. Xue Li is an Associate Professor in the School of Psychology at Shanghai University of Sport and a recognized scholar in the interdisciplinary domains of sports psychology and women’s mental health. She holds a doctoral degree in psychology from a nationally accredited university, where her academic training emphasized experimental psychology, cognitive assessment, and applied mental health research. Professionally, Mrs. Xue Li has developed a strong academic profile through her teaching, research leadership, and curriculum innovation within higher education, particularly in psychology programs integrating sport science and behavioral health. Her research interests focus on cognitive and emotional regulation in female populations, attention bias, psychological risk assessment, time perception in athletes, and the mental health benefits of structured physical and mind–body interventions such as yoga. Mrs. Xue Li possesses advanced research skills in experimental design, psychological measurement, virtual simulation development, data analysis, and interdisciplinary collaboration, enabling her to translate theoretical models into applied educational and clinical contexts.

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Featured Publications

Regular Yoga Modulates Attention Bias During the Luteal Phase in Women with Premenstrual Syndrome

– Brain Sciences, Multidisciplinary Digital Publishing Institute

Natalya Semenova | Medicine and Health Sciences | Women Researcher Award

Dr. Natalya Semenova | Medicine and Health Sciences | Women Researcher Award

Dr. Natalya Semenova | Medicine and Health Sciences | Chief Researcher at Scientific Сentre for Family Health and Human Reproduction Problem | Russia 

Dr. Natalya Semenova is a highly accomplished female biomedical scientist and chief researcher recognized for her significant contributions to pathological physiology, reproductive health, and aging research. She holds a Ph.D. in Biological Sciences and has developed a strong academic foundation through advanced training in experimental biology, human reproduction, and translational medical science at leading scientific institutions. Dr. Natalya Semenova has built an extensive professional career at a federal-level public scientific research center, where she has led and contributed to numerous multidisciplinary research initiatives focused on women’s health, endocrine disorders, microbiome regulation, oxidative stress, and age-related diseases. Her professional experience reflects deep expertise in designing experimental studies, clinical-biological data interpretation, biomarker analysis, and the development of pathogenetically grounded therapeutic and preventive strategies. In the middle of her academic career profile, Dr. Natalya Semenova has authored 156 documents, received 685 citations, and achieved a 12 h-index, demonstrating consistent research productivity and measurable scholarly impact within the international scientific community.

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Featured Publications

Optimal Algorithm for Gut Microbiota Differentiation: A Pilot Study of Adolescents with Different Body Weights
– Frontiers in Bioscience (Scholar Edition)
Phosphatidylethanol 16:0/18:1PEth as a Biomarker of Alcohol Consumption during Pregnancy
– Bulletin of Experimental Biology and Medicine
Histostructure of the Hippocampus in Male and Female Wistar Rats with Diet-Induced Visceral Obesity and after Diet Correction
– Bulletin of Experimental Biology and Medicine
Pregnancy and Alcohol: Parameters of Endogenous Intoxication Depending on Blood Phosphatidylethanol Levels
– Human Ecology
Comparative Assessment of the Gut Microbiome by Microbiological and Molecular-Genetic Methods in Sleep Disorders
– Clinical Laboratory Diagnostics

Dewen Qiao | Computer Science and Artificial Intelligence | Research Excellence Award

Dr. Dewen Qiao | Computer Science and Artificial Intelligence | Research Excellence Award

Dr. Dewen Qiao | Computer Science and Artificial Intelligence | Researcher at Army Medical University | China

Dr. Dewen Qiao is a highly accomplished researcher in computer science and medical artificial intelligence, currently serving at the Second Affiliated Hospital of the Army Medical University, where he contributes at a full professor–level research capacity with a strong focus on advancing intelligent computing solutions for healthcare and edge environments. Dr. Dewen Qiao earned his doctoral degree in Computer Science and Technology from Chongqing University, following a solid academic foundation with a master’s degree in Electronics and Communication Engineering from Southwest University and a bachelor’s degree in Electrical Engineering and Automation from Hubei Normal University, reflecting a rigorous and interdisciplinary technical training. His research skills include advanced algorithm design, distributed and edge AI systems, optimization theory, medical data modeling, and interdisciplinary medical–engineering integration. In the middle of his academic journey, Dr. Dewen Qiao has authored 25 documents, 162 Citations, 6 h-index, underscoring the growing impact and visibility of his research contributions.

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Featured Publications

EECF: An Edge-End Collaborative Framework with Optimized Lightweight Model

– Expert Systems with Applications

REAFL: Accelerating Federated Learning with Personalized Iteration Allocation and Peer Learning

– Physical Communication

Hagit Cohen | Medicine and Health Sciences | Research Excellence Award

Prof. Hagit Cohen | Medicine and Health Sciences | Research Excellence Award

Prof. Hagit Cohen | Medicine and Health Sciences | Head of Anxiety at Ben Gurion University | Israel

Prof. Hagit Cohen is a distinguished neuroscientist and psychiatrist internationally recognized for her pioneering contributions to stress biology, psychobiology, and translational research in anxiety and post-traumatic stress disorder. Prof. Hagit Cohen completed her undergraduate training in life sciences and her master’s and doctoral education in biomedical engineering and life sciences at Ben-Gurion University of the Negev, where her doctoral research focused on neurophysiological and spectral analysis approaches to mental fatigue and stress-related mechanisms. She later advanced her expertise through postdoctoral training in clinical biochemistry and pharmacology, strengthening her translational orientation between basic neuroscience and clinical psychiatry. Prof. Hagit Cohen currently serves as a senior academic leader in psychiatry and neuroscience, holding prestigious chaired and professorial positions while directing a nationally influential Anxiety and Stress Research Unit that integrates clinical, behavioral, neuroendocrine, and molecular approaches. Prof. Hagit Cohen is highly skilled in translational animal models, psychopharmacology, neuroendocrine profiling, behavioral neuroscience, biomarker discovery, and interdisciplinary clinical research design. She has authored 212 documents, received 13,692 citations, and holds an h-index of 65, reflecting the sustained international impact of her scholarship.

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Featured Publications

Exploring the Anxiolytic Potential of NPY by a Dipeptidyl Peptidase-IV Inhibitor in an Animal Model of PTSD
– International Journal of Neuropsychopharmacology, 2024 (7 Citations)
Loss of the Zinc Receptor ZnR/GPR39 in Mice Enhances Anxiety-Related Behavior and Motor Deficits, and Modulates KCC2 Expression in the Amygdala
– Behavioral and Brain Functions, 2024 (1 Citation)
ZNF142 Mutation Causes Sex-Dependent Neurologic Disorder
– Journal of Medical Genetics, 2024 (4 Citations)
Neuro-Psychiatric Symptoms in Directly and Indirectly Blast-Exposed Civilian Survivors of Urban Missile Attacks
– BMC Psychiatry, 2023 (6 Citations)
Sounds of Danger and Post-Traumatic Stress Responses in Wild Rodents: Ecological Validity of a Translational Model of PTSD
– Molecular Psychiatry, 2023 (6 Citations)
Hydrocortisone in the Emergency Department: A Prospective, Double-Blind, Randomized Controlled PTSD Study
– CNS Spectrums, 2023 (8 Citations)
Promoter Methylation of the Glucocorticoid Receptor Following Trauma and Its Association With PTSD Development
– World Journal of Biological Psychiatry, 2023 (5 Citations)

Li Xu | Cosmology and Physics | Research Excellence Award

Prof. Li Xu | Cosmology and Physics | Research Excellence Award

Prof. Li Xu | Cosmology and Physics | Associate Professor at Shanxi Datong University | China

Prof. Li Xu is a highly accomplished academic and researcher recognized for his sustained contributions to quantum transport and condensed matter physics, with a strong emphasis on thermoelectric and spin-dependent phenomena at the nanoscale. Prof. Li Xu holds a doctoral degree, which laid the foundation for his advanced theoretical and applied research career, and he has since developed extensive professional experience through academic research, funded projects, and collaborations spanning both fundamental science and technology-oriented studies. His professional journey reflects deep engagement in quantum dot systems, non-Hermitian physics, Majorana bound states, thermospin effects, cavity–quantum dot coupling, and low-dimensional semiconductor structures, positioning him as a specialist in bridging quantum theory with device-level applications. In the middle of his academic career trajectory, Prof. Li Xu has authored 16 documents, 150 Citations, and achieved a 6 h-index, demonstrating measurable research impact and consistent scholarly recognition within the global physics community.

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Polarization Thermoelectric Transport Induced by Two Majorana Bound States Infiltrating a Quantum Dot

– Physica B: Condensed Matter

Ali Shokri | Cybersecurity and Cryptography | Best Researcher Award

Assoc. Prof. Dr. Ali Shokri | Cybersecurity and Cryptography | Best Researcher Award

Assoc. Prof. Dr. Ali Shokri | Cybersecurity and Cryptography | Professor at University of Zanjan | Iran

Assoc. Prof. Dr. Ali Shokri is a respected academic and researcher in applied and computational mathematics, widely recognized for his sustained scholarly contributions, methodological rigor, and academic leadership. He is an Associate Professor in the Department of Mathematics at the University of Zanjan, where he is actively involved in teaching, research supervision, curriculum development, and institutional governance. Assoc. Prof. Dr. Ali Shokri completed his doctoral education in Mathematics with a specialization in Numerical Analysis and Control at Amirkabir University of Technology (Tehran Polytechnic), which established a strong theoretical and computational foundation for his research career. His professional experience encompasses undergraduate and postgraduate teaching, supervision of graduate research projects, and significant administrative responsibilities, including leadership roles within the mathematics department that reflect his commitment to academic quality and strategic development. His research interests focus on numerical solutions of ordinary and partial differential equations, meshless and meshfree methods, fractional and variable-order differential equations, pseudo-spectral techniques, and advanced computational approaches for nonlinear and time-dependent mathematical models arising in engineering, physics, and interdisciplinary applications. In terms of research output and impact, Assoc. Prof. Dr. Ali Shokri has authored 22 scholarly documents, accumulating 1,751 citations with an h-index of 14, demonstrating both productivity and sustained influence within the international research community.

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Featured Publications

Numerical Study of the Non-Linear Time-Fractional Klein–Gordon Equation Using the Pseudo-Spectral Method

– Computational Methods for Differential Equations, 2025
Numerical Study of the Variable-Order Time-Fractional Mobile/Immobile Advection–Diffusion Equation Using Direct Meshless Local Petrov–Galerkin Methods

– Computers & Mathematics with Applications, 2023

Claudia Lommatzsch | Medicine and Health Sciences | Visionary Research Award 2971

Dr. Claudia Lommatzsch | Medicine and Health Sciences | Visionary Research Award

Dr. Claudia Lommatzsch | Medicine and Health Sciences | Senior Physician | St. Franziskus-Hospital | Germany

Dr. Claudia Lommatzsch is a distinguished clinician-scientist in ophthalmology, recognized for her significant contributions to glaucoma diagnostics, ocular imaging, and translational vision research. She received her medical education from a leading German medical university and later achieved advanced academic qualification through habilitation, reflecting her expertise in independent research and university-level teaching. Professionally, Dr. Claudia Lommatzsch has built a strong career as a senior physician and researcher within a major ophthalmology department, where she seamlessly integrates clinical responsibilities with innovative research activities. Her professional experience spans patient-centered glaucoma care, advanced imaging diagnostics, and interdisciplinary research collaborations that connect clinical ophthalmology with laboratory-based biomarker analysis. Her primary research interests include glaucoma pathophysiology, optical coherence tomography, OCT angiography, vascular and molecular biomarkers, pediatric ocular imaging, and disease progression assessment, with a particular emphasis on improving early diagnosis and personalized treatment strategies. In the middle of her academic career trajectory, she has authored 28 documents, accumulated 316 citations, and achieved an h-index of 8, demonstrating measurable scientific impact and consistent research productivity within indexed international journals.

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Featured Publications

ET-1, MMPs, ZAG, and APN Link Reduced Ocular Perfusion to Glaucoma

– Biomolecules, Open Access

Assessment of Chronic Degenerative Eye Disease Progression

– Editorial, Open Access

Leonardo Polizeli | Biology and Life Sciences | Best Research Article Award

Ms. Leonardo Polizeli | Biology and Life Sciences | Best Research Article Award

Ms. Leonardo Polizeli | Biology and Life Sciences | Student| Federal University of Parana | Brazil

Ms. Leonardo Polizeli is a zoologist and entomology researcher with a strong academic foundation and growing contributions to insect systematics and Neotropical biodiversity studies. She completed her undergraduate education in Biological Sciences at Universidade Federal do Paraná, where she developed early research experience through scientific initiation programs, teaching-related scholarships, and academic extension activities. She later earned a Master’s degree in Biological Sciences with a specialization in Zoology (Entomology) from the same institution, supported by a national research scholarship, and conducted advanced research under expert supervision in insect taxonomy. Her professional experience includes active engagement at the Department of Zoology, Universidade Federal do Paraná, where she has contributed as a postgraduate researcher, scientific initiation scholar, academic volunteer, and student representative, demonstrating both research competence and institutional leadership. Ms. Leonardo Polizeli’s research interests center on the taxonomy, systematics, and classification of Blattaria (Blattodea), with particular emphasis on Blaberidae, Blaberinae, Zetoborinae, Neotropical cockroach diversity, and Araucaria forest ecosystems. Her work contributes to the understanding of insect biodiversity, evolutionary relationships, and conservation-relevant systematics within South American fauna.

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Featured Publications

On the taxonomic status of two giant cockroaches of Bionoblatta (Blattodea, Blaberidae) collected by José Pinto da Fonseca, a founder of the Brazilian Society of Entomology – Journal of Orthoptera Research, Open Access