Gracia Cristina Villodres | Descriptive Analytics | Best Research Article Award

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Mrs. Gracia Cristina Villodres |  Descriptive Analytics | Best Research Article Award

University of Granada | Spain

Gracia Cristina Villodres is a predoctoral fellow at the University of Granada, specializing in physical activity, health, and education. She holds a Bachelor’s Degree in Primary Education with a specialization in Physical Education (2020), and two Master’s Degrees—one in Research and Innovation in Curriculum and Teacher Training (2021) and another in Physical Activity and Health (2022). Currently completing her PhD (FPU Fellowship 2021–2025) on healthy habits, cognitive function, and academic performance, she is also pursuing a Degree in Psychology. Her research interests focus on physical activity, body image, academic achievement, and mental health in youth populations. She has participated in four competitive research projects, serving as both researcher and principal investigator, and has published over 50 book chapters with ISBN. Her scholarly impact includes an H-index of 4 in Web of Science, 12 in Scopus, and 5 in Google Scholar, with a total of over 55 citations across databases. She has completed a research stay at the University of Bern and received the University of Granada Talent Award (2022). Through her teaching and research, she promotes evidence-based approaches to education and health, aiming to enhance well-being, inclusion, and performance in school and university settings.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Villodres, G. C., Pérez-Díaz, J.-J., Salas-Montoro, J.-A., & Muros, J. J. (2025). Sex-based differences in lifestyle behaviours, self-esteem, and academic performance: A structural equation model in high-socioeconomic-status school-aged youth from southern Spain. Children.

Villodres, G. C., Rodríguez-Mérida, M., Vizcaíno-Cuenca, R., & Muros, J. J. (2025). Effectiveness of physical education interventions on mental health in children and adolescents: A systematic review of wellbeing and distress across educational levels. Adolescent Research Review.

Villodres, G. C., Campos-Pérez, L. M., Salvador-Pérez, F., Muros, J. J., & Vizcaíno-Cuenca, R. (2025). Relación entre el uso de redes sociales, hábitos saludables y factores psicológicos relacionados con la percepción de la imagen corporal en estudiantado universitario. Retos.

Navidad Cobo, L., Villodres, G. C., & Padial-Ruz, R. (2025). Efecto de un programa de actividad física y educación nutricional para la mejora de hábitos saludables en educación primaria. Retos.

Villodres, G. C., Salvador-Pérez, F., & Muros, J. J. (2024). Factors associated with Mediterranean diet adherence in a sample of high socio-economic status children from southern Spain. Public Health Nutrition.

John Giesy |  Environmental Data Analysis | Best Researcher Award

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Prof. John Giesy |  Environmental Data Analysis | Best Researcher Award

Baylor University | Canada

Professor John P. Giesy is a globally recognized environmental chemist and ecotoxicologist, renowned for his pioneering work in identifying and characterizing perfluorinated compounds (PFCs) in the environment. He earned his B.S. in Biology (Summa Cum Laude) from Alma College, followed by an M.Sc. and Ph.D. in Limnology from Michigan State University. Throughout his distinguished career, Professor Giesy has held leading academic and research positions worldwide, contributing extensively to environmental science, risk assessment, and ecosystem protection. His research focuses on the fate and effects of environmental contaminants, chemical safety, and the development of ecological models for sustainable management. With an exceptional record of 1,304 peer-reviewed publications, over 75,308 citations, and an H-index of 126, he ranks among the most cited scientists in environmental sciences globally. Professor Giesy is a Fellow of the Royal Society of Chemistry (UK) and the Royal Society of Canada and a member of the National Academy of Science of Canada. His numerous honors include the SETAC Founders Award, Environmental Education Award, Global Capacity Building Award, and the Royal Society of Canada’s Miroslaw Romanowski Medal. His lifelong contributions continue to shape global environmental policy and scientific innovation in ecotoxicology and sustainable chemistry.

Profiles : Scopus | Orcid

Featured Publications

Lin, T., Zhou, S., He, H., Guo, J., Sturchio, N. C., Rockne, K. J., Giesy, J. P., & Li, A. (2025). Halogenated flame retardants in the sediments of the lower Great Lakes and region-wide discoveries. Journal of Hazardous Materials.

Al Naggar, Y., Fahmy, N., Alkhaibari, A., Al-Akeel, R., Alharbi, H., Mohamed, A., Eleftherianos, I., El-Seedi, H., Giesy, J. P., & Alharbi, H. (2025). Mechanisms and genetic drivers of resistance of insect pests to insecticides and approaches to its control. Toxics.

Mahoney, H., Ankley, P., Roberts, C., Lamb, A., Schultz, M., Zhou, Y., Giesy, J. P., & Brinkmann, M. (2025). Correction to “Unveiling the molecular effects of replacement and legacy PFASs: Transcriptomic analysis of zebrafish embryos reveals surprising similarities and potencies.” Environmental Science & Technology.

Engelbrecht, I., Horn, S. R., Giesy, J. P., & Pieters, R. (2025). Quantification of pesticides and in vitro effects of water-soluble fractions of agricultural soils in South Africa. Archives of Environmental Contamination and Toxicology.

Kim, T., Zhen, J., Lee, J., Park, S. Y., Lee, C., Kwon, B.-O., Hong, S., Shin, H.-M., Giesy, J. P., & Chang, G. S. (2024). Prediction of cytotoxicity of polycyclic aromatic hydrocarbons from first principles. Science of the Total Environment.

Jianguo Song |  Data Processing | Best Researcher Award

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Dr. Jianguo Song |  Data Processing | Best Researcher Award

China University of Petroleum (East China) | China

Dr. Jianguo Song is a Professor of Geophysics at the China University of Petroleum (East China), Qingdao, with a research h-index of 20 (based on Google Scholar data), over 392 citations and more than 41 peer-reviewed documents published. He obtained his Bachelor’s degree in Applied Geophysics (1997–2001), Master’s in Geodetection & Information Technology (2001–2004) and PhD in Geological Resources and Geological Engineering (2004–2009) all from the same institution. Since joining the university in 1996 he has progressed through roles as lecturer and associate professor to full professor in 2015, and serves as deputy director of the Department of Geophysics and supervisor of the MoYan Research Group. His research interests include borehole and offshore broadband seismic data processing and interpretation, visco-elastic seismic wave propagation theory, reservoir parameter estimation and seismic enhancement via modern programming tools. He has led over sixty funded projects, holds three invention patents and one software registration, and has been recognised with the Science & Technology Progress Prize of the China Petroleum & Chemical Industry Federation (2nd class) and the Shandong Province Science & Technology Progress Prize (3rd class). In conclusion, Professor Song combines deep theoretical insight with hands-on software development and industrial application, offering strong mentorship for students skilled in mathematics and computer programming.

Profile : Scopus

Featured Publications

Cao, D., & Yin, X. (2014). “Equivalence Relations of Generalized Rheological Models for Viscoelastic Seismic Wave Modeling.” Bulletin of the Seismological Society of America,

Cao, D., & Liao, W. (2014). “An adjoint-based hybrid computational method for crosswell seismic inversion.” Computing in Science & Engineering.

Cao, D., & Liao, W. (2015). “A computational method for full waveform inversion of crosswell seismic data using automatic differentiation.” Computer Physics Communications.

Cao, D., Yin, X., Wu, G., & Zhao, X. (2013). “Impedance joint inversion of borehole and surface seismic data.” Journal of Geophysics and Engineering.

Cao, D., Zhou, J., & Yin, X. (2015). “The study for numerical dispersion and stability of wave motion with triangle-based finite element algorithm.” Chinese Journal of Geophysics.

Hui Zhang |  Biosensing and Bioimaging | Best Researcher Award

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Dr. Hui Zhang |  Biosensing and Bioimaging | Best Researcher Award

Nanjing Forestry University | China

Dr Hui Zhang holds a Bachelor in Mechanical Manufacturing & Automation from Southeast University (2004-2008), a Master in Mechanical Design & Theory from Jiangnan University (2009-2012), and a Doctorate in Mechatronic Engineering from Southeast University (2013-2018) with a joint PhD period at the National University of Singapore (2014-2016). He is currently Assistant Professor (Lecturer) at Nanjing Forestry University (from December 2024), following his previous role as Assistant Researcher at Southeast University (May 2018-Nov 2024). His research centres on mechatronic engineering, with a strong emphasis on dielectric elastomer actuators, tunable lenses, soft electroactive materials, additive manufacturing of functional structures, and AI-augmented sensing and diagnostics. He has published extensively in SCI journals on topics including biomimetic human-eye adaptive lenses, 3D printed dielectric elastomers, tunable imaging systems, and machine-learning enabled defect detection. His current h-index is 11 with 45 papers and 418 citations. He has also contributed to monographs and conference proceedings in advanced manufacturing and smart devices. His work has been recognised for innovation in soft robotics and functional materials, and he continues to push the frontier of coupling mechanical design, materials science and intelligent systems in mechatronics.

Profile : Scopus

Featured Publications

Zhang, H.*, Zhu, J., Wen, H., Xia, Z., and Zhang, Z. (2023). “Biomimetic human eyes in adaptive lenses with conductive gels” in Journal of the Mechanical Behavior of Biomedical Materials, 139:105689. This work presents adaptive biomimetic lenses using conductive gels for vision systems inspired by the human eye, emphasizing improved optical tuning performance.

Zhang, H., Wen, H., Zhu, J., Xia, Z., and Zhang, Z.* (2023). “3D printing dielectric elastomers for advanced functional structures: A mini-review” in Journal of Applied Polymer Science, e55015. This review highlights emerging advances in 3D-printed dielectric elastomers with potential for flexible electronics and smart soft devices.

Zhang, H., Xia, Z., Zhang, Z., and Zhu, J. (2022). “Miniature and tunable high voltage-driven soft electroactive biconvex lenses for optical visual identification” in Journal of Micromechanics and Microengineering, 32(6):064004. The study develops compact electroactive soft lenses enabling tunable optical focusing for miniature imaging and identification applications.

Zhang, H.*, Dai, M., Xia, Z., and Zhang, Z. (2021). “Computational analyses for tunable solid lenses coupling polyacrylamide hydrogel electrodes” in Bulletin of Materials Science, 44(2):78. A computational approach is introduced to analyze hydrogel-based tunable solid lenses that enhance precision in optical deformation control.

Zhang, H.*, Li, Z., Xie, Y., Xia, Z., and Zhang, Z. (2021). “Focus-tunable imaging analyses of the liquid lens based on dielectric elastomer actuator” in Bulletin of Materials Science, 44(2):148. This research demonstrates a liquid-based dielectric elastomer lens with adjustable focusing capability to support compact imaging technologies.

Hatice Zeynep Kosar |  Interdisciplinary Data Insights | Global Insight Excellence Award

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Ms. Hatice Zeynep Kosar |  Interdisciplinary Data Insights | Global Insight Excellence Award

Dokuz Eylül University | Turkey

Dr Hatice Zeynep Kosar holds a PhD in Laboratory Animal Science from Dokuz Eylül University (Turkey), an Associate Degree in Law from Anadolu University and a Bachelor of Veterinary Medicine from Uludağ University (Türkiye). At Dokuz Eylül University’s Multidisciplinary Department of Laboratory Animal Science she has contributed to advancing experimental research infrastructure and ethical standards. Her research centres on laboratory animal facility design and the application of the 3R (Replacement, Reduction, Refinement) principles in animal experiments. She co-authored a 2024 study on physical conditions in conventional laboratory animal facilities and a 2025 article in the African Journal of Urology examining differences between countries in experimental partial nephrectomy procedures. She holds a patent application (No: 2024-GE-122346) for a platform serving as a transport unit and safety cabin for laboratory animals. She is a member of the Springer Nature Research Communities (Biomedical Research, Research Data) and participates in COST Action CA21139 (“Improving the Quality of Biomedical Science with 3R Concepts”). Her contributions emphasise the ethical and scientific rigour of animal experimentation and call for harmonised global standards in this area. This global-insight excellence award nomination honours her efforts to merge animal welfare with rigorous experimental design and to promote international research ethics.

Profile : Orcid

Featured Publications

Koşar, H.Z. (2024). Are there differences between countries in the application of experimental partial nephrectomy procedures? 5th International Ethics Congress. Writing – review and editing, Conceptualization.

Yılmaz, O., & Koşar, H.Z. (2024). Konvansiyonel laboratuvar hayvan tesisinde, aktif kullanım süresince, mekanlar arasındaki fiziksel şartlarda farklılık var mıdır? Laboratuvar Hayvanları Bilimi ve Uygulamaları Dergisi.

Koşar, H.Z., & Yılmaz, O. (2023). A case of ulcerative pododermatitis in Balb/c mice. 5th National Laboratory Animal Science Congress, İstanbul, Türkiye. 18 September 2023. Conference Paper.

Koşar, H.Z., Yılmaz, O., & Keskinoğlu, P. (2025). Are there differences between countries in the application of experimental partial nephrectomy procedures? [Journal Title not specified] Conceptualization.

Koşar, H.Z. (2023). Are there differences between countries in the application of the 3R rule in experimental animal research? 5th National Laboratory Animal Science Congress, İstanbul, Türkiye. 18 September 2023. Conference Paper.

Kiyoshi Nokihara |  Diagnostic Analytics | Pioneer Researcher Award

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Prof. Dr. Kiyoshi Nokihara |  Diagnostic Analytics | Pioneer Researcher Award

Hipep Laboratories | Japan

Kiyoshi Nokihara is a distinguished biomedical scientist whose career spans organic chemistry, peptide-protein science and bio-detection instrumentation. After his initial studies in Tokyo, he conducted research in Germany at the Deutsches Wollforschungs­institut an der Technischen Hochschule Aachen (1974-79) focusing on the chemistry and biology of biomolecules such as insulin, followed by work in the U.S. with Finnegan Inc. in Silicon Valley on mass spectrometry of biomolecules. He returned to Japan to investigate brain-gastrointestinal and neuro-peptides as Assistant Professor at the Shizuoka Prefectural University. Subsequent roles included Visiting Professor at the University of Heidelberg (via the Alexander von Humboldt Foundation) and R&D leadership at Shimadzu Corporation leading the Life Science Center, where his team received a national award from the Japanese Agency of Science and Technology. In 2002 he founded HiPep Laboratories as CEO & CSO to develop novel biodetection systems, and since 2017 he holds a Professor position at the First School of Clinical Medicine, First Affiliated Hospital, Nanjing Medical University (China). With over 119 publications, more than ~3,365 citations (according to ResearchGate) and numerous patent applications (130+), his research interests include peptide-protein recognition, structural biology, combinatorial chemistry, immunochemistry, instrumentation and drug-discovery technologies. His work has been recognized by multiple awards and national projects for innovation in life-science instrumentation and biomedical applications. In sum, Dr. Nokihara’s career bridges academic discovery, applied instrumentation and entrepreneurial innovation in peptide/bio-molecular sciences.

Profile : Scopus

Featured Publications

Kiyoshi Nokihara (2025). Development of a new biodetection system independent of known marker molecules using a novel material for microarrays made from amorphous carbon substrates. Analytical Methods.

Kiyoshi Nokihara. Construction of cyclic peptide libraries immobilized on gel-type supports for screening towards discovery of interacting peptides. Book Chapter.

Kiyoshi Nokihara (2024). A high-throughput sequence determination for one cyclic peptide immobilized on a single bead by the one-pot cyanidation followed by MALDI-TOF–MS/MS for discovery of interacting peptides. Analytical Sciences.

Kiyoshi Nokihara (2023). A novel cyclic peptide library immobilized on gel-type beads focusing on rapid construction and characterization for comprehensive drug discovery. Chemical Biology and Drug Design.

Kiyoshi Nokihara (2022). Investigation of the behaviors of molecules exhibiting angiogenic actions. International Journal of Peptide Research and Therapeutics.

Kiyoshi Nokihara (2020). Improved design of peptides exhibiting angiogenic activities for clinical applications. Bioorganic and Medicinal Chemistry.

Gleb Sychugov |  Healthcare Data Analysis | Best Researcher Award

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Assoc. Prof. Dr. Gleb Sychugov |  Healthcare Data Analysis | Best Researcher Award

Southern Urals Federal Research and Clinical Center for Medical Biophysics | Russia

Assoc. Prof. Dr. Gleb Sychugov is a distinguished pathologist and medical researcher with a Ph.D. in Medicine and the highest qualification category in pathology. He serves as Deputy Chief Physician at the Chelyabinsk Regional Pathological Anatomy Bureau, Associate Professor at South Ural State Medical University, and Senior Research Fellow at the Southern Urals Federal Research and Clinical Center for Medical Biophysics (SUFRCC MB). With over 190 scientific publications, including 25 in Scopus-indexed journals and 4 patents, Dr. Sychugov has made pioneering contributions to radiation pathology, pulmonary pathology, reproductive system pathology, oncology, and dermatopathology. His research innovations include patented diagnostic algorithms for cervical intraepithelial neoplasia and mucinous ovarian carcinoma, as well as computational models for predicting dermal changes in anti-aging therapy. As Chief Pathologist of the Chelyabinsk Region and the Ural Federal District, he has led multiple regional and federal initiatives in pathology standardization. He actively collaborates in international epidemiological programs and serves on the Presidium of the Russian Society of Pathologists. With Scopus h-index 25, Web of Science h-index 4, and more than 55 citations, Dr. Sychugov continues to advance diagnostic pathology through evidence-based research, mentorship, and innovation, embodying excellence in translational medical science.

Profiles : Orcid | Scopus

Featured Publications

Gogoleva, D. V., & Sychugov, G. V. (2023). Immunohistochemistry of bone marrow extracellular matrix in Ph-negative myeloproliferative diseases. Ural Medical Journal.

Shamanova, A. Yu., Rostovtsev, D. M., Privalov, A. V., Yarina, L. V., Aristarkhova, K. S., Sychugov, G. V., Vasil’kova, I. V., Artem’eva, A. S., Saevets, V. V., & Alymov, E. A. (2023). Undifferentiated pancreatic carcinoma with osteoclast-like giant cells. Russian Journal of Archive of Pathology.

Sychugov, G. V., Kazachkov, E. L., Osovets, S. V., Grigoryeva, E. S., Sychugov, A. G., & Azizova, T. V. (2022). Leukemia inhibitory factor and cellular renewal in various types of pulmonary fibrosis in plutonium production workers. Biology Bulletin.

Zhuntova, G. V., Azizova, T. V., Bannikova, M. V., & Sychugov, G. V. (2022). Characteristics of malignant neoplasms of the hepatobiliary system in the cohort of occupationally-exposed workers. Ural Medical Journal.

Gogoleva, D., & Sychugov, G. (2021). Matrix metalloproteinases and their inhibitors in JAK2-mutated myeloproliferative neoplasms. Virchows Archiv. WOSUID: WOS:000692384500404

Bhavna Chopra |  Big Data Analytics | Global Data Innovation Recognition Award

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Dr. Bhavna Chopra |  Big Data Analytics | Global Data Innovation Recognition Award

 BIDMC, Boston | United States

Dr. Bhavna Chopra is an accomplished transplant nephrologist and clinician-scientist whose academic and professional journey bridges India and the United States. She earned her MBBS from B.J. Medical College, Pune, India, followed by residency and chief residency in Internal Medicine at Allegheny General Hospital, Pittsburgh. She then completed fellowships in Nephrology at the University of Pennsylvania and Transplant Nephrology at the Mayo Clinic. Currently, she serves as Instructor in Medicine at Harvard Medical School and Medical Director of the Living Donor Transplant Program and Solid Organ Transplant Inpatient Unit at Beth Israel Deaconess Medical Center, Boston. Her research focuses on kidney transplantation outcomes, donor-recipient risk factors, donor-derived biomarkers such as cell-free DNA (dd-cfDNA), and immunosuppression optimization strategies. She has authored over 52 publications with 400+ citations, including impactful studies on recipient obesity and kidney transplant survival. Dr. Chopra’s contributions have been recognized through honors such as Fellow of the American Society of Nephrology (FASN), Fellow of the American Society of Transplantation (FAST), and the AJKD Editor’s Choice Award. She also contributes nationally through the ABIM Nephrology Board Question-Writing Task Force. Her clinical and academic work continues to shape advancements in transplant medicine, improving outcomes for kidney transplant recipients worldwide.

Profile : Orcid 

Featured Publications

Cojuc-Konigsberg, G., Cañizares, S., Rivera, B., Sureshkumar, K. K., Eckhoff, D., Pavlakis, M., & Chopra, B. (2025). Outcomes of the kidney after liver transplantation by induction type, inter-transplant interval, and immunologic risk: A UNOS analysis. Liver Transplantation.

Cañizares, S., Trindade, B., Cojuc-Konigsberg, G., Chumdermpadetsuk, R., Rivera, B., Cerqueira, T. L., Eckhoff, D., & Chopra, B. (2025). Geospatial insights into access to kidney transplantation in underserved Hispanic communities. Journal of Racial and Ethnic Health Disparities.

Cojuc-Konigsberg, G., & Chopra, B. (2025). Kidney machine perfusion is associated with improved long-term graft survival mediated by reduced delayed graft function: A mate-kidney analysis. Artificial Organs.

Cañizares, S., Montalvan, A., Eckhoff, D., Sureshkumar, K. K., & Chopra, B. (2025). Long-term outcomes of transplant recipients comparing Belatacept vs. Tacrolimus: A UNOS database analysis. Clinical Transplantation.

Chumdermpadetsuk, R. R., Montalvan, A., Cañizares, S., Chopra, B., Pavlakis, M., Lee, D. D., & Eckhoff, D. E. (2024). A single-center retrospective study to identify causes of sex differences in the living kidney donor evaluation process. Kidney360.

Ali Kaveh | Artificial Intelligence | Best Researcher Award

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Prof. Dr. Ali Kaveh | Artificial Intelligence | Best Researcher Award

Civil Engineering/Iran Univerrsity of Science and Technology | Iran

Prof. Dr. Ali Kaveh is a Distinguished Professor of Civil Engineering at Iran University of Science and Technology (IUST), renowned for his pioneering work in structural mechanics, graph theory applications, and metaheuristic optimization. He holds a BSc from Tabriz University, an MSc, DIC, and PhD in Structural Engineering from Imperial College London, and Dipl.-Ing. and Dr. Tech. degrees from the Technical University of Vienna. With an h-index of 85, over 735 journal articles, 155 conference papers, and more than 30,000 citations, his research spans optimal structural analysis, sparse matrix methods, symmetry in structures, and the development of novel algorithms such as Charged System Search, Ray Optimization, and Water Strider Algorithm. A Fellow of the Iranian Academy of Sciences, The World Academy of Sciences, and the European Academy of Sciences and Arts, Prof. Kaveh has authored 18 English books and 23 Persian volumes, shaping modern computational structural engineering. He serves as Editor-in-Chief of the Asian Journal of Civil Engineering and the International Journal of Optimization in Civil Engineering, contributing extensively to global scholarship. Recipient of 47 awards and a mentor to numerous PhD students, Prof. Kaveh continues to advance innovative, efficient, and sustainable structural design methodologies that influence academia and industry worldwide.

Profiles : Orcid | Scopus | Google Scholar

Featured Publications

1️⃣ Zavari, S., Kaveh, A., Babaei, H., Arshid, E., Dimitri, R., & Tornabene, F. (2024). A quasi-3D hyperbolic formulation for the buckling study of metal foam microplates layered with graphene nanoplatelets-embedded nanocomposite patches with temperature fluctuations. Composite Structures.

2️⃣ Kaveh, A., & Yousefpoor, H. (2024). Chaotic Artificial Bees Colony. In Studies in Computational Intelligence.

3️⃣ Kaveh, A., & Yousefpoor, H. (2024). Chaotic Biogeography Based Optimization. In Studies in Computational Intelligence.

4️⃣ Kaveh, A., & Yousefpoor, H. (2024). Chaotic Cyclical Parthenogenesis Algorithm. In Studies in Computational Intelligence.

5️⃣ Kaveh, A., & Yousefpoor, H. (2024). Chaotic Differential Evolution. In Studies in Computational Intelligence.