Shuoyang Wei | Physics | Best Researcher Award

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Dr. Shuoyang Wei l Physics
| Best Researcher Award

Peking Union Medical College Hospital | China

Dr. Shuoyang Wei, is a Medical Physicist at the Department of Radiotherapy, Peking Union Medical College Hospital, China. He earned his Ph.D. in Nuclear Science and Technology, specializing in Radiation Protection and Environmental Protection, from Tsinghua University (2018–2023), where he also completed his B.E. in Engineering Physics (2014–2018). His doctoral research, titled Research on the Quality Evaluation and Application Extension of Medical X-ray Imaging, was supervised by Professor Junli Li. Throughout his academic journey, Dr. Wei received numerous honors, including the Comprehensive First-Class Scholarship, Academic Excellence Scholarship, and the Outstanding Graduate Award of Tsinghua University. His research expertise spans radiotherapy treatment planning, radiation protection design, AI-assisted imaging systems, and intelligent radiotherapy applications. He has contributed to developing intelligent assistants using LLaMA3 and RAG techniques based on AAPM reports, and designed semi-supervised learning models for digital radiography image quality control. His innovative work also includes radiation protection designs for ion therapy centers and AI-based dose assessment methods in nuclear medicine therapy. A recipient of the National Natural Science Foundation of China Youth Fund, Dr. Wei has published in leading journals, including Radiation Oncology and the Journal of Applied Clinical Medical Physics.

Profile: Orcid 

Featured Publication 

Wei, S., Hu, A., Wang, Z., Meng, X., Yu, L., Yang, B., & Qiu, J. (2025). RTPhy‐ChatBot: A RAG‐based intelligent assistant for radiotherapy physics using LLaMA3 and AAPM reports. Journal of Applied Clinical Medical Physics, 26(10), e70263. https://doi.org/10.1002/acm2.70263

Akanksha Dobriyal | Textiles | Best Researcher Award

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Ms. Akanksha Dobriyal l Textiles
| Best Researcher Award

UPES | India

Dr. Akanksha Dobriyal is a passionate and dedicated fashion design educator and researcher with over eight years of academic and industry experience, specializing in sustainable fashion, traditional crafts, and natural fibers of Uttarakhand. Currently pursuing her Ph.D. in Design, she integrates scholarly research with creative teaching to advance eco-conscious design practices. Her professional journey includes teaching and research roles at the University of Petroleum and Energy Studies, Dev Bhoomi Uttarakhand University, APG Shimla University, and Himalayan Garhwal University, where she has guided students in textile science, fashion innovation, and sustainability-focused projects. She has organized major fashion events such as “Uttarakhand Couture Week” and “VIBE 360,” promoting traditional craftsmanship and modern design thinking. Her research primarily explores natural dyes, eco-printing, weaving traditions, and sustainable textile development, with publications in reputed journals like the Environmental Claims Journal and Journal of Propulsion Technology. Dr. Dobriyal holds a Scopus ID: 59558770700 with 2 published documents, 0 citations, and an h-index of 0. She has received recognition including the Best Research Paper Award (2024) and First Position in the International Young Researcher Conclave (2025), and serves as an Advisory Member of AAGAAS Federation, Uttarakhand, actively promoting craft revival and sustainability education.

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Featured Publication 

Yarong Liu | Chemical Engineering | Best Researcher Award

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Mrs. Yarong Liu l Chemical Engineering
| Best Researcher Award

Zhengzhou University | China

Dr. Liu Yarong ,  is a Han Chinese researcher and Ph.D. candidate at Beijing Institute of Technology, specializing in chemistry with a focus on the microenvironment regulation mechanisms of transition metal–nitrogen–carbon catalysts for hydrogen-oxygen fuel cells under the guidance of Prof. Bo Wang and Prof. Wenxiu Yang. She earned her M.Sc. in Chemical Engineering from Zhengzhou University, where she worked on the preparation and performance enhancement of proton exchange membranes for high-temperature hydrogen-oxygen fuel cells under Prof. Jingtao Wang, and her B.Sc. in Chemical Engineering and Technology from Xinxiang University. Dr. Liu has made significant contributions to fuel cell research, authoring four SCI papers as first author and three as corresponding author, with publications in top-tier journals including J. Am. Chem. Soc., Angew. Chem. Int. Ed., and Adv. Energy Mater, and has applied for or been granted four patents, covering single-atom iron catalysts, carbon quantum dot functionalized graphene oxide membranes, transition metal diatomic catalysts, and two-dimensional N/O mixed-metal organic frameworks. She has served as principal investigator for projects funded by the National Natural Science Foundation of China Youth Fund and the China Postdoctoral Science Foundation, with ongoing funding through 2028. Her academic excellence has been recognized with multiple awards and scholarships, including first- and second-class graduate scholarships at Beijing Institute of Technology and sponsored scholarships from the China Aerospace Science and Technology Corporation, and her research impact is reflected by 141 citations, seven documents, and an h-index of 5 (Scopus ID: 59854412500).

Profile: Scopus 

Featured Publication

Liu, Y., Zhang, W., Li, H., Mai, Z., Li, H., Xiao, S., Dang, J., Li, G., & Wang, J. (2026). Synergistic confinement of Keggin POMs in DUT-67 for enhanced proton conductivity in proton exchange membranes. Chemical Engineering Science, 320, 122534. https://doi.org/

Palwinder Kaur | Battery safety | Young Scientist Award

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Dr. Palwinder Kaur l Battery safety
| Young Scientist Award

CSIR-Central Scientific Instruments Organization, Chandigarh | India

Dr. Palwinder Kaur is a dedicated researcher and WISE-SCOPE Scientist Fellow at CSIR-Central Scientific Instruments Organisation (CSIR-CSIO), Chandigarh, specializing in gas sensor development, battery safety, and electrochemical impedance spectroscopy (EIS). She earned her Ph.D. in Engineering Sciences and has accumulated over five years of research experience in developing intelligent, multivariable gas sensors integrated with machine learning for early detection of volatile organic compounds (VOCs) and thermal runaway in lithium-ion batteries. Her work focuses on designing innovative impedimetric sensors that contribute to predictive diagnostics and sustainable safety solutions for batteries and environmental monitoring. Dr. Kaur has authored five indexed publications, including notable papers in ACS Sensors, Batteries, and Journal of Physical Chemistry C, with a citation count of 36 (as per Scopus, October 2025), 29 citing documents, and an h-index of 3. She holds two patents (U.S. and Indian) and has completed four research projects and two industry collaborations, bridging the gap between laboratory research and industrial applications. Her international collaboration with the ViPER Group at Purdue University (2021–2022), supported by the SERB Overseas Fellowship, significantly advanced early gas diagnostics for battery safety research. Through her innovative contributions and interdisciplinary expertise, Dr. Kaur continues to impact the fields of sensor technology, electrochemical analysis, and energy safety research in India and globally.

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Featured Publications

Kaur, P., Bhondekar, A. P., & Bagchi, S. (2025, September 19). Intra-class classification of volatile amines using impedance spectroscopy platform [Preprint]. ChemRxiv. https://doi.org/10.26434/chemrxiv-2025-jpsdn-v2

Kaur, P., Bagchi, S., & Bhondekar, A. P. (2025, August 8). Intra-class classification of amines using impedance spectroscopy with a SnO₂-Ppy composite-based sensor [Preprint]. ChemRxiv. https://doi.org/10.26434/chemrxiv-2025-jpsdn

Kaur, P., Bagchi, S., Pol, V. G., & Bhondekar, A. P. (2023). Early detection of mixed volatile organic compounds to circumvent calamitous Li-ion battery thermal runaway. Journal of Physical Chemistry C, 127(36), 17241–17251. https://doi.org/10.1021/acs.jpcc.3c01470

Kaur, P., Stier, I. K., Bagchi, S., Pol, V. G., & Bhondekar, A. P. (2023). Impedimetric early sensing of volatile organic compounds released from Li-ion batteries at elevated temperatures. Batteries, 9(12), 562. https://doi.org/10.3390/batteries9120562

Kaur, P., Bagchi, S., & Bhondekar, A. P. (2023, January 23). Impedimetric study of poly-butyl thiophene-based sensor for detection of VOCs and mixtures. 2023 IEEE Applied Sensing Conference (APSCON). https://doi.org/10.1109/apscon56343.2023.10101185

Diego Ailton Prudêncio | Physiotherapy | Best Researcher Award

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Mr. Diego Ailton Prudêncio l Physiotherapy
| Best Researcher Award

Universidade do Estado de Santa Catarina | Brazil

Mr. Diego Ailton Prudênciois a Brazilian physiotherapist, researcher, and academic currently pursuing a Ph.D. in Physiotherapy at the Universidade do Estado de Santa Catarina (UDESC), under the guidance of Dr. Rodrigo Okubo. He holds a Master’s degree in Physiotherapy (2019) from UDESC and advanced specializations in Pelvic Physiotherapy – Functional Urogynecology (Faculdade Inspirar, 2022) and Traumatologic-Orthopedic Physiotherapy (FAVENI, 2024). With extensive experience in orthopedic, traumatologic, manual, and pelvic physiotherapy, he has served as a university professor and clinical supervisor at UDESC, teaching subjects such as kinesiology, electrotherapy, and rehabilitation across different populations. His scientific and clinical interests focus on tendinopathy, Achilles tendon injury, musculoskeletal rehabilitation, sports physiotherapy, and clinical biomechanics, integrating evidence-based methods into therapeutic practice. Mr. Prudêncio has contributed to research and extension projects such as TriaOrto, Fisioterapia Esportiva, and PET-Saúde/Vigilância em Saúde, promoting musculoskeletal health and functional recovery in sports and community settings. He also works as a technical consultant, exam question developer, and practicing clinician at Espaço Nfisio and Clínica Equilíbrio do Corpo, providing specialized care in adult, pediatric, and pelvic rehabilitation. His academic impact includes 6 indexed documents, 23 citations by 23 documents, and an h-index of 3 on Scopus (Scopus ID: 57200282548), reflecting his growing contribution to the field of physiotherapy research and education in Brazil.

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Featured Publication

Prudêncio, D. A. (2025). Immediate effects of cupping therapy on pain, flexibility, and temperature of the lumbar spine: A randomized controlled clinical trial. Journal of Bodywork and Movement Therapies. Advance online publication.

Kiram Tadesse | Studies | Young Scientist Award

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Mr. Kiram Tadesse l Studies
| Young Scientist Award

Academic Colleague | Ethiopia

Mr. Kiram Tadesse is an experienced development professional, consultant, and researcher with extensive expertise in program management, consultancy, and strategic planning across local and international development contexts. Currently serving as Deputy General Manager at Ultimate Consultancy Services, he provides leadership, coordination, and strategic direction across multiple programs, ensuring alignment with organizational goals and professional standards. He actively leads research, advisory, and operational activities, develops frameworks for program assessment, and implements initiatives to enhance efficiency and effectiveness. Prior to this, he worked independently as a consultant, trainer, and researcher, designing and delivering high-quality workshops on leadership, youth and women empowerment, communication, and business development services, while conducting impactful research on development and communication practices. Mr. Tadesse has contributed significantly to academic and professional discourse, with publications including “Transboundary Water Resources Management Practices: Comparative Analysis of Nile and Senegal River Basins” (Ethiopian Journal of Development Research, 2025), “Seeking African Solutions” (ChinAfrica, 2022), and “Widening Africa’s Gateway” (ChinAfrica, 2020), among others, demonstrating his thought leadership in development and resource management. His work has garnered recognition and citations for advancing knowledge in sustainable development, water resource management, and African development initiatives. With strong analytical, leadership, and communication skills, Mr. Tadesse continues to drive impactful projects and research that strengthen institutional capacities and promote innovative, sustainable solutions in Africa and beyond.

Profile: Google Scholar 

Featured Publication

Tadesse, K., & Bekele, Y. W. (2025). Transboundary water resources management practices: Comparative analysis of Nile and Senegal River basins. Ethiopian Journal of Development Research, 47(2), 184–212. https://doi.org/

Sheharyar Khan | Engineering | Young Scientist Award

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Dr. Sheharyar Khan l Engineering
| Young Scientist Award

Shandong University | Pakistan

Dr. Sheharyar Khan is a distinguished computer scientist and software engineer with extensive expertise in software engineering, artificial intelligence, and cybersecurity, specializing in IoMT edge-cloud frameworks and network intrusion detection systems. Currently a Postdoctoral Research Fellow at Shandong University, he leads independent and collaborative research initiatives, designing experiments, analyzing data, and publishing findings in high-impact journals. His doctoral research at Northwestern Polytechnical University focused on optimization-based hybrid offloading frameworks for IoMT in edge-cloud healthcare systems, demonstrating the integration of advanced computing techniques with practical healthcare applications. Dr. Khan has made significant contributions to explainable AI and hybrid ensemble machine learning, as seen in publications such as “HCIVAD: Explainable hybrid voting classifier for network intrusion detection systems” and “Consensus hybrid ensemble machine learning for intrusion detection with explainable AI”. With prior experience as a lecturer and IT specialist, he combines academic rigor with practical software development expertise. Dr. Khan has 104 citations across 10 documents, an h-index of 6, an i10-index of 5, is indexed under Scopus Author ID 57221647889, and holds ORCID 0000-0002-0089-0168, reflecting his impact on the field. Recognized for his analytical skills, innovation, and interdisciplinary research, he continues to advance secure, intelligent, and explainable computing systems for both academic and real-world applications.

Profile: Scopus | Google Scholar | Orcid | Researchgate 

Featured Publications

Khan, S., Liu, S., Pan, L., & Mei, G. (2025). Optimization-based hybrid offloading framework for IoMT in edge-cloud healthcare systems. Future Generation Computer Systems, 108163. https://doi.org/

Ahmed, S. K. M. T. S., Jiangbin, Z., & Khan, S. (2025). HCIVAD: Explainable hybrid voting classifier for network intrusion detection systems. Cluster Computing, 28(343). https://doi.org/

Ahmed, M. T. S., Jiangbin, Z., & Khan, S. (2024). Consensus hybrid ensemble machine learning for intrusion detection with explainable AI. Journal of Network and Computer Applications, 5*. https://doi.org/

Khan, S., Jiangbin, Z., & Ali, H. (2024). Soft computing approaches for dynamic multi-objective evaluation of computational offloading: A literature review. Cluster Computing, 27(9), 12459–12481. https://doi.org/

Dimitri Koutzoumis | Infectious Diseases | Best Researcher Award

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Dr. Dimitri Koutzoumis l Infectious Diseases
| Best Researcher Award

Medical laboratory in Maryland | United States

Dr. Dimitri Koutzoumis is an accomplished biomedical scientist with extensive expertise in neuroscience, neurodegeneration, and translational research, focusing on dopamine signaling and gut-brain interactions. His doctoral research at the University of Florida examined the role of gut microbiota and bacterial metabolites in modulating dopamine neuron vulnerability, demonstrating how microbiome-induced changes in immune cell populations influence neurodegenerative processes. During his postdoctoral tenure at The City College of New York, he conducted advanced immunohistochemistry, cytokine profiling, and behavioral assays in Parkinson’s disease models, combining molecular and functional approaches to elucidate mechanisms of neuroinflammation and motor deficits. At Sanaria Inc., he applied his skills to vaccine development, including cryopreservation of malaria sporozoites, in vitro potency assays, and GMP-compliant quality management, bridging academic research with industry applications. His notable publication, “Characterizing Dopamine Transporter Mediated Uptake and Efflux in Brain Slices: A New Approach”, highlights innovative methods for studying transporter dynamics in neural tissue. Dr. Koutzoumis has 131 citations across 4 documents, an h-index of 3, and is indexed under Scopus Author ID 57188503800, reflecting his impact on the field. With a strong foundation in molecular biology, pharmacology, and translational science, he continues to advance understanding of neurodegenerative mechanisms while contributing to practical biomedical innovations.

Profile: Scopus 

Featured Publication

Koutzoumis, D. (n.d.). Characterizing dopamine transporter mediated uptake and efflux in brain slices: A new approach

Ezekiel Olatunji | Built Environment | Best Researcher Award

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Mr. Ezekiel Olatunji | Built Environment
| Best Researcher Award

University of Wolverhampton | United Kingdom

Mr. Ezekiel Olatunji Doctoral Researcher at the University of Wolverhampton, Mr. Ezekiel Olatunji focuses on developing innovative frameworks for assessing and enhancing flood resilience within socially diverse communities. His research explores the intersection of community engagement, infrastructure planning, and risk management, with the goal of improving adaptive capacity and awareness in flood-prone regions. By integrating qualitative and quantitative research methodologies, including structured interviews, surveys, and participatory workshops, he investigates how social, economic, and cultural factors influence community preparedness and recovery. His work also incorporates the use of analytical tools such as SPSS and NVIVO to interpret complex data and extract meaningful insights that inform policy and practice. The outcomes of his research aim to guide local authorities, urban planners, and policymakers in designing more inclusive and resilient flood management strategies. Through his doctoral work, Mr. Olatunji contributes to the growing body of knowledge on disaster risk reduction and environmental resilience, aligning his efforts with the United Nations Sustainable Development Goals (SDGs), particularly those related to sustainable cities and climate action. His research underscores the importance of a community-centered approach to resilience, combining academic rigor with practical solutions for sustainable development.

Profile: Google Scholar | Orcid

Featured Publications

Olatunji, E. O., Adebimpe, O. A., & Oladokun, V. O. (2023). A fuzzy logic approach for measuring flood resilience at community level in Nigeria. International Journal of Disaster Resilience in the Built Environment, 14(4), [Article details pending].

Olatunji, E., Proverbs, D., Pathirage, C., Suresh, S., Cooper, J., & Capewell, L. (2024). A community-scale framework for evaluating flood resilience across socially diverse communities. Leeds Beckett University.

Olatunji, E., Proverbs, D., Pathirage, C., Suresh, S., & Ekundayo, O. (2025). Towards a participatory assessment of community flood resilience. Purdue University.

Olatunji, E., Ekundayo, O., Proverbs, D., Pathirage, C., Suresh, S., Emonson, P., & others. (2025). The role of stakeholder partnerships in building flood resilient communities: Case study of the FAIR project in the UK. Taylor & Francis.

Hemalatha K | Mathematics | Best Researcher Award

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Dr. Hemalatha K | Mathematics
| Best Researcher Award

Chennai Institute of Technology, Chennai | India

Dr. Hemalatha K is an accomplished mathematician and researcher specializing in theoretical seismology and wave propagation, currently serving as an Assistant Professor at the Center for Nonlinear Systems, Chennai Institute of Science and Technology, Tamil Nadu, India, since February 2025. She earned her Ph.D. in Mathematics (2024) from SRM Institute of Science and Technology, Chennai, with her thesis titled “Theoretical Study of Elastic Wave Propagation in Anisotropic and Functionally Graded Layered Media.” Her academic foundation includes an M.Sc. in Mathematics with outstanding distinction from Bishop Heber College, Trichy and a B.Sc. in Mathematics from Holy Cross College, Trichy. With over three years of research experience, Dr. Hemalatha has made significant contributions to the field through 17 peer-reviewed international journal publications, achieving a cumulative impact factor. Her recent research includes advanced studies on flexoelectric coupling, interfacial imperfections, and wave behavior in functionally graded and piezoflexoelectric materials, published in reputed Q1–Q3 indexed journals such as Mathematics (MDPI) and Journal of Mechanical Science and Technology (Springer). She holds professional identifiers including ORCID (0000-0002-9355-5747) reflecting her growing international academic recognition.

Profile: Google Scholar | Orcid

Featured Publication

1. Hemalatha, K., Kumar, S., & Prakash, D. (2023). Dispersion of Rayleigh wave in a functionally graded piezoelectric layer over elastic substrate. Forces in Mechanics, 10, 100171. https://doi.org/10.1016/j.finmec.2023.100171

2. Hemalatha, K., Kumar, S., & Kim, I. (2024). Study of SH-wave in a pre-stressed anisotropic magnetoelastic layer sandwich by heterogeneous semi-infinite media. Mathematics and Computers in Simulation, 222, 225–241. https://doi.org/10.1016/j.matcom.2024.01.015

3. Hemalatha, K., Kumar, S., & Akshaya, A. (2023). Rayleigh wave at imperfectly corrugated interface in FGPM structure. Coupled Systems Mechanics, 12(4), 337–364. https://doi.org/10.12989/csm.2023.12.4.337

4. Akshaya, A., Kumar, S., & Hemalatha, K. (2024). Behaviour of transverse wave at an imperfectly corrugated interface of a functionally graded structure. Physics of Wave Phenomena, 32(2), 117–134. https://doi.org/10.3103/S1541308X24020023

5. Hemalatha, K., & Kumar, S. (2024). Propagation of SH wave in a rotating functionally graded magneto-electro-elastic structure with imperfect interface. Journal of Vibration Engineering & Technologies, 12(7), 8383–8397. https://doi.org/10.1007/s42417-024-01007-5

6. Akshaya, A., Kumar, S., & Hemalatha, K. (2025). Propagation of shear horizontal wave at magneto-electro-elastic structure subjected to mechanically imperfect interface. Mechanics of Advanced Composite Structures, 12(1), 97–114. https://doi.org/10.22075/macs.2025.32784.1550