Vijayalakshmi Pandurangan | Chemistry | Young Scientist Award

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Dr. Vijayalakshmi Pandurangan l Chemistry | Young Scientist Award

SIMATS Deemed University | India

Dr. Vijayalakshmi Pandurangan is a distinguished researcher in Chemistry with a strong focus on nanocomposite synthesis, photocatalysis, and environmental sustainability. She earned her Ph.D. in Chemistry (2020–2024) from Tamil Nadu Open University, Chennai, for her highly commended doctoral research titled “Synthesis of Nanocomposites and Its Photocatalytic Degradation Efficiency on Organic Pollutants.” She also holds an M.Sc. in Chemistry from the University of Madras, a B.Ed. in Physical Science from Pondicherry University, and an M.Ed. in Education from The Tamil Nadu Teacher Education University. Dr. Vijayalakshmi is currently preparing for a prestigious three-month IIPP Research Internship at the National Taipei University of Technology, Taiwan (July–September 2025). Her research interests encompass energy storage and conversion, CO₂ reduction, water splitting, electrochemistry, and molecular docking. Skilled in advanced characterization tools such as XRD, SEM, TEM, FTIR, and UV-Vis spectroscopy, she has authored 10 scientific publications in high-impact journals, including Ionics, ChemistrySelect, Electrochimica Acta, and Langmuir. Her research has been cited 7 times by 7 documents, with a Scopus h-index of 2 (Scopus ID: 57197218673; ORCID: 0009-0003-0232-7621). Dr. Vijayalakshmi has actively participated in international conferences and workshops, contributing to global scientific discourse. She remains committed to advancing green technologies and developing sustainable solutions for environmental and energy challenges through innovative, interdisciplinary research.

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Featured Publication 

Mariappan, K., Sivaji, S. P., Chen, S. M., Sakthinathan, S., Chen, C. L., Vijayalakshmi, P., Mariappan, C., Murugan, S. B., & Chiu, T. W. (2025). An experimental method for the sensitive detection of carbendazim using a glassy carbon electrode modified with bismuth ferrite anchored on carbon black composites. Microchemical Journal, 114500. https://doi.org/10.1016/j.microc.2025.114500

Shubham Verma | Physics | Best Researcher Award

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Mr. Shubham Verma l Physics | Best Researcher Award

Sam Higginbottom University of Agriculture, Technology and Sciences | India

Mr. Shubham Verma, a Physics Author from Prayagraj, Uttar Pradesh, India, is a dedicated academic with a strong background in science and management. He completed his 10th and 12th education from the Uttar Pradesh Board with a science specialization in 2003 and 2005, respectively, and later earned a BBA (Hons) degree with a finance specialization from AAI-DU in 2010. His passion for scientific exploration led to the publication of his research paper titled “Advance Studies in Mathematical and Theoretical Physics” under IEEE-SEM (International European Extended Enablement in Science, Engineering, and Management) in October 2023. His research is accessible through his IEEE-SEM publication link and Google Scholar profile. Mr. Verma was also nominated for the prestigious Vigyan Yuva Shanti Swarup Bhatnagar Puraskar (National Science Award) in Physics, reflecting his growing recognition in the scientific community. Apart from physics, he holds a basic understanding of Earth Sciences, Biology, and Chemistry. Known for his hardworking nature, honesty, optimism, and self-confidence, he combines analytical thinking with a positive attitude. In his leisure time, he enjoys listening to music and watching scientific videos that enhance his intellectual curiosity and creativity.

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Featured Publication 

Haneen Alamirah | Engineering | Best Researcher Award

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Ms. Haneen Alamirah l Engineering
| Best Researcher Award

United Arab Emirates University | United Arab Emirates

Ms. Haneen Alamirah is an accomplished Architectural Engineer and researcher from the United Arab Emirates, specializing in occupant comfort in the built environment and sustainable building design. She holds a Bachelor’s degree in Architectural Engineering from the UAE University, a Master’s degree in Sustainable Critical Infrastructure from Khalifa University, and is currently pursuing her Ph.D. in Architectural Engineering at the UAE University . Her professional experience includes serving as a Graduate Teaching and Research Assistant at both Khalifa University and UAE University, where she has been involved in teaching, mentoring, and conducting advanced research in sustainability and human–environment interaction. Ms. Alamirah’s research contributions focus on the integration of immersive virtual environments for evaluating occupant comfort, adaptive behavior, and personal comfort models in shared spaces. Her scholarly work has been featured in high-impact journals such as Building and Environment and presented at international conferences including the Building Simulation Conference (2023, Shanghai; 2025, Brisbane) and the UAE Graduate Students Research Conference. With 68 citations and an h-index of 1 (Scopus ID: 57288505500), she continues to advance knowledge at the intersection of architecture, sustainability, and digital simulation tools, contributing to more resilient and human-centered design practices.

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Featured Publication 

Alamirah, H. (2023, September). A bibliometric analysis of immersive virtual environment applications for occupant comfort and behavior research. In Proceedings of the Building Simulation Conference 2023 (p. 1397). Shanghai, China. https://doi.org/10.26868/25222708.2023.1397

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.

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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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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/