Dr. Dmitri Lapotko | Automated Cancer Diagnostics | Best Researcher Award

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Dr. Dmitri Lapotko | Automated Cancer Diagnostics | Best Researcher Award

Scorpido Photonics Inc | United States

Dr. Dmitri Lapotko is the pi, cto, and ceo at scorpidophotonics inc., and a pioneering researcher in the field of plasmonic nanobubbles. He invented laser-generated nano-explosions capable of detecting and treating lethal diseases such as cancers and malaria at the cellular level in real time, automating processes to minimize dependence on human expertise and reduce errors. His groundbreaking technology enables the instant detection of single cancer cells in vivo and selectively destroys them on-demand, achieving performance previously unattainable with conventional methods, Automated cancer diagnostics. Dr. lapotko has led numerous research initiatives, including the nih u01 project “harnessing cancer aggressiveness to overcome cancer resistance” and the nsf project “instant diagnosis of cancers with plasmonic nanobubbles,”. he has authored multiple scholarly documents in high-impact journals, with a total of 357 citations, an h-index of 8, i10-index of 7, and 349 citations, reflecting the influence and reach of his work in biomedical optics and nanomedicine. His contributions also extend to consultancy and industry projects focused on instant, automated, and minimally invasive detection of microscopic cancers in patients. With a consistent record of innovation, dr. lapotko continues to advance the frontiers of real-time cellular diagnostics and targeted therapy, merging cutting-edge photonics with life-saving medical applications.

Profiles: Orcid | Google Scholar

Featured Publication

Lapotko, D. (2009). Optical excitation and detection of vapor bubbles around plasmonic nanoparticles. Optics Express, 17(4), 2538–2556.

Lapotko, D. O., Lukianova, E., & Oraevsky, A. A. (2006). Selective laser nano‐thermolysis of human leukemia cells with microbubbles generated around clusters of gold nanoparticles. Lasers in Surgery and Medicine.

Lukianova-Hleb, E. Y., Ren, X., Sawant, R. R., Wu, X., Torchilin, V. P., & Lapotko, D. O. (2014). On-demand intracellular amplification of chemoradiation with cancer-specific plasmonic nanobubbles. Nature Medicine, 20(7), 778–784.

Lapotko, D. O., & Hleb, K. (2019). Diagnosis, removal, or mechanical damaging of tumor using plasmonic nanobubbles. U.S. Patent No. 10,471,159.

Lapotko, D. (2008). Plasmonic nanoparticle-generated photothermal bubbles and their biomedical applications. Nanomedicine, 4(7), 813–845.

Assoc. Prof. Dr. Gokhan Guven | Robotics | Best Researcher Award

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Assoc. Prof. Dr. Gokhan Guven | Robotics | Best Researcher Award

Mugla Sitki Kocman University | Turkey

Dr. Gokhan Guven is a Ph.D. Candidate in the department of curriculum and instruction at Mugla Sitki Kocman University, turkey, specializing in science education under the supervision of dr. yusuf sulun. he earned his bachelor’s degree in elementary science education from pamukkale university and completed his master’s in science education at mugla sitki kocman university, where his thesis focused on preservice elementary teachers’ reflection journal writing and epistemological beliefs in science and technology laboratory applications. Currently pursuing his doctoral studies in science education, dr. guven’s research interests include energy education, science teacher education, and science laboratory applications. throughout his academic career, he has served as a teaching assistant in various laboratory-based courses, including general biology, general physics, Robotics and general chemistry, contributing significantly to hands-on science instruction and pedagogy. his scholarly contributions have garnered 179 citations across 12 documents, with an h-index of 7, reflecting the impact and recognition of his research within the scientific and educational community. fluent in both english and turkish, Dr. guven continues to advance his research and academic pursuits, focusing on enhancing the quality and effectiveness of science education at both theoretical and practical levels.

Profiles: Scopus | Orcid

Featured Publications

Güven, G., Orhan Özen, S., & Şarlakkaya, K. (2025). Virtual reality applications integrated into the 5E learning model in environmental topics in science education. Research in Science & Technological Education. Advance online publication.

Kozcu Cakir, N., & Guven, G. (2025). Enhancing engineering design, scientific creativity, and decision-making skills in prospective science teachers through engineering design-based robotics coding applications. Research in Science & Technological Education. Advance online publication.

Güven, G., & ÖzüneL, Y. (2023). Arduino destekli robotik kodlama etkinlikleri ile ilkokul 2. sınıf doğal afetler konusunun öğretimi. Ege Bilimsel Araştırmalar Dergisi.

Güven, G., & Göçen Kabaran, G. (2023). Yenilenebilir enerji eğitimine yönelik bir öğretim tasarımı geliştirme ve değerlendirme. Eğitim Teknolojisi Kuram ve Uygulama.

Guven, G., Kozcu Cakir, N., Sulun, Y., Cetin, G., & Guven, E. (2022). Arduino-assisted robotics coding applications integrated into the 5E learning model in science teaching. Journal of Research on Technology in Education, 54(1), 1–20.

Ms. Siona Prasad | Automated Early VTE Detection | Best Researcher Award

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Ms. Siona Prasad | Automated Early VTE Detection | Best Researcher Award

Harvard Medical School | United States

Ms. Siona Prasad is a dedicated medical researcher and md candidate at harvard medical school, boston, massachusetts, pursuing her degree through the pathways program with an expected graduation. She graduated summa cum laude from harvard university with an a.b. in computer science and global health & health policy. Her academic and research journey reflects a strong interdisciplinary blend of medicine, data science, and global health innovation. with a research portfolio spanning prestigious institutions such as brigham and women’s hospital, mass general brigham, and boston children’s hospital, dr. prasad has contributed to advancements in cardiovascular risk prediction, ai-driven diagnostics, and digital health innovation. Her notable projects include developing machine learning algorithms for early disease detection and ai-powered diagnostic tools, Automated early VTE detection highlighting her expertise at the intersection of healthcare and technology. her scholarly work has been cited 9 times across 6 published documents, demonstrating growing recognition within the academic community, and she holds an h-index of 3, reflecting the impact and relevance of her contributions to biomedical research. driven by a vision to integrate artificial intelligence into clinical decision-making, dr. siona prasad continues to shape the future of computational medicine and global health equity.

Profiles: Scopus | Orcid

Featured Publications

Prasad, S., Dykes, P. C., Schreiber, R., Hijjawi, S., Nawab, K., Kim, A., Lipsitz, S., Syrowatka, A., Samal, L., Bates, D. W., et al. (2025). Development of an algorithm for estimating the likelihood of venous thromboembolism in primary care using structured and unstructured electronic health record data. American Journal of Hematology. Advance online publication.

Rao, A. S., Prasad, S., Lee, R. S., Farrell, S., McKinley, S., & Succi, M. D. (2025). Development and evaluation of an artificial intelligence–powered surgical oral examination simulator: A pilot study. Mayo Clinic Proceedings: Digital Health. Advance online publication.

Alayande, B. T., Pai, M., Prasad, S., Abimpaye, M., Bakorimana, L., Niyigena, A., Nkurunziza, J., Cubaka, V. K., Kateera, F., Fletcher, R., et al. (2023). Image-based surgical site infection algorithms to support home-based post-cesarean monitoring: Lessons from Rwanda. PLOS Global Public Health, 3(2), e0001584.

Prasad, S. (2022, May). Robustness of a visible image machine learning surgical site infection diagnostic algorithm when image quality is degraded. Presented at the Rwanda Health Research and Policy Symposium.

Prasad, S. (2022, April 8). Urban inversions of air pollution sources/sinks and uncertainty quantification to pinpoint determinants of poor air quality. Presented at the Joint Mathematics Meeting.

Dr. Arnab Kundu | Safe Human-Robot Collaboration | Best Researcher Award

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Dr. Arnab Kundu | Safe Human-Robot Collaboration | Best Researcher Award

Institute for Educational Research and Policy | India

Dr. Arnab Kundu, an eminent Indian scholar in the field of education, currently serves as the founder and senior researcher at the institute for educational research and policy , bankura, west bengal. He possesses a rich academic background with multiple postgraduate qualifications including ma in english literature, ma in education, two pg diplomas in educational management and technology from ignou, and a ph.d. in education with specialization in educational technology. he also completed postdoctoral research at the tata institute of social sciences, mumbai, under a csf-funded project on digital classroom engagement in madhya pradesh. dr. kundu has made remarkable contributions to the domains of educational technology, teacher development, and school education reform. With 31 scopus-indexed research papers, one book, and one book chapter, Safe Human-Robot Collaboration his scholarly output reflects both depth and diversity. According to google scholar, his work has received 1323 citations, with an h-index of 19, i10-index of 27, and 25 documents cited by 268 sources. through his extensive research and leadership, dr. kundu continues to influence educational policy, pedagogy, and global dialogue on technology integration in schools.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Kundu, A., & Bej, T. (2025). Relationship between psychological distress and teaching efficacy of Indian elementary school teachers: A moderated mediation model. Contemporary School Psychology. Advance online publication.

Kundu, A. (2025). Crafting effective school teachers: A comparative study of Finland, Japan and India. International Journal of Comparative Education and Development. Advance online publication.

Kundu, A., & Bej, T. (2025). Behind the empty desks: Teachers’ insights into student absenteeism in India. Power and Education. Advance online publication.

Kundu, A., & Bej, T. (2025). Transforming EFL teaching with AI: A systematic review of empirical studies. International Journal of Artificial Intelligence in Education. Advance online publication.

Kundu, A., & Bej, T. (2024). Psychological impacts of AI use on school students: A systematic scoping review of the empirical literature. Research and Practice in Technology Enhanced Learning. Advance online publication.

Dr. Victor Ekuta | Artificial Intelligence | Best Researcher Award

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Dr. Victor Ekuta | Artificial Intelligence | Best Researcher Award

Morehouse School of Medicine | United States

Dr. Victor Ekuta is a neurology resident physician at morehouse school of medicine in atlanta, georgia. He earned his doctor of medicine degree with honors from xavier university school of medicine in oranjestad, aruba. prior to his medical education, dr. ekuta completed a bachelor of arts in biology with a neuroscience track and a philosophy-neuroscience-psychology track, along with a chemistry minor, at washington university in st. louis, missouri, he also attended methacton high school in norristown, pennsylvania, and waterford high school in waterford, connecticut. dr. ekuta has received numerous awards and honors, including scholarships, fellowships, and travel awards from institutions such as the national multiple sclerosis society, Artificial Intelligence alzheimer’s association, mit solve, and harvard innovation labs, as well as recognition from the national institute of neurological disorders and stroke and the american academy of neurology. in addition to his medical training, he has contributed to research in neurology and mental health, including studies on insulin resistance and alzheimer’s biomarkers. his academic output includes 3 documents, 11 citations, and an h-index of 1. Dr. ekuta’s commitment to advancing brain health equity and addressing disparities in neurology continues to shape his career as a physician-scientist-advocate.

Profiles: Scopus | Orcid

Featured Publication

Ekuta, V. (2025). Racing against the algorithm: Leveraging inclusive AI as an antiracist tool for brain health. Clinical and Translational Science.

Prof. Elena Strelnikova | Advanced Motion Planning | Best Researcher Award

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Prof. Elena Strelnikova | Advanced Motion Planning | Best Researcher Award

Anatolii Pidhornyi Institute of Power Machines and Systems NAS of Ukraine | Ukraine

Prof. Elena Strelnikova is a distinguished ukrainian mathematician and professor with a long, productive career in applied analysis, fracture mechanics, boundary element methods, and fluid-structure interaction. Educated at v. n. karazin kharkiv national university , she received her phd in “analysis of 2d contact problems for anisotropic cracked plates” and later her dsc  for her work on strength and vibrations of turbo-machine units using the boundary element method. She has held senior and full professorship positions at karazin national university, kharkiv polytechnical institute, and kharkiv national university of radio electronics, among others, and has led research groups and served as a leading researcher at the a. pidhorny institute of power machines and Advanced Motion Planning systems of the national academy of sciences of ukraine. Professor strelnikova’s research is especially known for her deep contributions in singular and hypersingular integral equations, contact problems, cracked plate theory, and fluid-structure coupling. over the course of her career, she has published 71 documents, which have received 602 citations across 309 documents, reflecting an h-index of 17. her scholarship has made a lasting impact on mechanical engineering, structural dynamics, and computational methods in applied mathematics, continuing to influence both theory and application worldwide.

Profiles: Scopus | Orcid

Featured Publications

Akimov, D., Degtyariov, K., Gnitko, V., Kriutchenko, D., & Strelnikova, E. (2025). Flight stage-dependent vibration characteristics of launch vehicle fuel tanks. In Advances in Aerospace Engineering.

Choudhary, N., Degtyariov, K., Gnitko, V., Kriutchenko, D., & Strelnikova, E. (2025). Liquid vibrations analysis of baffled reservoirs with fuzzy concepts implementation. In Advances in Fluid-Structure Interaction.

Degtyariov, K., Kriutchenko, D., Osypov, I., Sierikova, O., & Strelnikova, E. (2024). Dampers influence on sloshing mitigation in fuel tanks of launch vehicles and reservoirs. In Recent Advances in Aerospace Structures.

Strelnikova, E., Choudhary, N., Degtyariov, K., Kriutchenko, D., & Vierushkin, I. (2024). Boundary element method for hypersingular integral equations: Implementation and applications in potential theory. Engineering Analysis with Boundary Elements, 161, 105999.

Doroshenko, V. O., Stognii, N. P., Zhyla, O. V., Strelnikova, E. A., Sidorov, M. V., & Remayeva, O. O. (2024). Mathematical modeling of exciting a wideband semitransparent antenna with longitudinal slots by a concentrated source. In Proceedings of the IEEE European Workshop on Modern Topics in Signal.

Dr. Aya Chelh | Renewable Energy | Best Researcher Award

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Dr. Aya Chelh | Renewable Energy | Best Researcher Award

Mohammed V University | Morocco

Dr. Aya Chelh is a PhD candidate in Materials Science at University Mohammed V in Rabat, Morocco, specializing in first-principles computational modeling and density functional theory simulations for advanced energy materials. Her research investigates structural, electronic, optical, thermodynamic, and hydrogen storage properties of innovative compounds with promising applications in photovoltaics, hydrogen production and storage, and spintronics. She previously obtained her Master’s degree in Matter and Radiation, graduating with distinction, where she focused on the elaboration and characterization of transparent conductive oxide thin films, and a Bachelor of Science in Physics from University Chouaib Doukkali, El Jadida. In her doctoral work, she has conducted extensive DFT analyses on band structures, optical absorption, Renewable Energy and thermodynamic stability, while also engaging in multidisciplinary collaborations that bridge computational studies with material synthesis and experimental characterization. Her research portfolio demonstrates both depth and interdisciplinarity, preparing her for impactful contributions to academia and industry. Scientifically, Dr. Chelh has published 9 documents, which have collectively received 29 citations from 11 citing documents, with an h-index of 3, reflecting the relevance and growing impact of her work in the field of sustainable energy technologies.

Profiles: Scopus | Orcid

Featured Publications

Chelh, A., Akenoun, B., Dahbi, S., & Ez-Zahraouy, H. (2026). Ab-initio investigation of structural, elastic, optoelectronic, thermoelectric and thermodynamic properties of the pure, doped and co-doped calcium hafnate perovskite for photovoltaic applications. Journal of Physics and Chemistry of Solids, 190, 113232.

Chelh, A., Akenoun, B., Dahbi, S., Chakkour, I., Ouichou, H., Tahiri, N., & Ez-Zahraouy, H. (2025). Hydrogen storage potential and physical properties of XSiH₃ (X = Bi, Ga) perovskite hydrides: A first-principles study. Computational Condensed Matter, 37, e01133.

Chelh, A., Dahbi, S., & Ez-Zahraouy, H. (2025). Ab-initio study of the structural, electronic, optical, and thermoelectric properties of chalcogenide-doped Sr₂UZnO₆. Solid State Communications, 386, 116024.

Chelh, A., Akenoun, B., Dahbi, S., & Ez-Zahraouy, H. (2025). First-principles calculations to investigate photovoltaic, photocatalytic, and spintronic properties of Fe-doped and alloyed MgSiO₃ perovskite. Journal of Physics and Chemistry of Solids, 189, 112773.

Chelh, A., Akenoun, B., Dahbi, S., & Ez-Zahraouy, H. (2025). Compressive strain effects on the photocatalytic and optoelectronic properties of CsInBr₃ for efficient hydrogen production: A DFT study. Surfaces and Interfaces, 47, 107356.

Ms. Jianzhao Yin | Gynecological Tumor | Best Researcher Award

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Ms. Jianzhao Yin | Gynecological Tumor | Best Researcher Award

Gansu Provincial Hospital | China

Jianzhao yin is an associate chief physician at Gansu provincial hospital, with nearly ten years of dedicated work in obstetrics and gynecology. After completing a master of medical science in obstetrics and gynecology at Xinjiang medical university, she embarked on a multifaceted career combining clinical practice, teaching, and research. Her clinical work involves diagnosis and treatment of women’s reproductive health issues, prenatal and postnatal care, and surgical and non-surgical gynecological procedures. In her teaching role, she trains medical students, residents, and fellows, contributing to curriculum development and mentoring future gynecologists. Her research interests focus on improving maternal and fetal outcomes, Gynecological tumor, disorders of pregnancy, gynecologic surgery, and women’s health more broadly. Over the past decade she has published 2 documents in peer-reviewed outlets, presented at national and regional conferences, and collaborated with colleagues on clinical studies. Though specific bibliometric indicators such as h-index and citation metrics are not currently available, her scholarly work has helped to inform best practices in obstetrics and gynecology in her institution, and her ongoing efforts are expected to increase his academic visibility. Through her combined roles, jian-zhao yin aims to bridge patient care, medical education, and research to advance women’s health in her region.

Profiles: Scopus | Orcid

Featured Publication

"A Systematic Review and Meta- Analysis of the Effectiveness and Cost of Single- Site Robotic Surgery and Single- Site Laparoscopic Surgery in Gynecological Diseases: The Era of Single- Site Robotic Surgery May Have Arrived"

Prof. Dr. Marija Bogataj | LTC | Best Researcher Award

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Prof. Dr. Marija Bogataj | LTC | Best Researcher Award

Institute INRISK & Alma Mater Europaea | Slovenia 

Professor Marija Bogataj is a distinguished scholar in operations research, statistics, and actuarial mathematics, with an academic foundation that includes a diploma in mathematics, an m.sc. in operations research, and a ph.d. in engineering sciences — spatial (urban) modelling — from the university of ljubljana. she began her career as a research and teaching assistant at the faculty of medicine, university of ljubljana, LTC later contributed at the faculty of architecture, civil engineering and geodesy, and served as lecturer at the university of maribor.She was elected full professor of operations research and statistics at the university of ljubljana, where she also lectured on actuarial mathematics, location theory, and supply chain management.She served as dean of the faculty of maritime and transport. currently, she is the head of cerrisk at the inrisk institute, supervises doctoral students in the field of social infrastructure optimization, LTC and leads both national and international research projects. she has authored, co-authored, or edited more than 50 books and over 200 papers, with more than 60 published in top wos-indexed journals. her academic impact is reflected in 1,748 citations, 110 documents, and an h-index of 24, with google scholar ranking her among the most highly cited researchers in ageing studies worldwide.

Profiles: Scopus | Orcid

Featured Publications

"The dynamics of specialised housing construction in a time of human resource shortages in long-term care services"

"The Advancement of In Vitro Lipolysis: Two-Step Flow-Through Method for the Evaluation of Lipid-Based Drug Delivery Systems"

"Design of Social Infrastructure and Services Taking into Account Internal Migration by Age Cohort"

"Planning and managing public housing stock in the silver economy"

"The Role of Housing in Sustainable European Long-Term Care Systems"