Tang Qingjun | Scientific Breakthroughs | Best Researcher Award

Published on by Scientist Day

Assoc. Prof. Dr. Tang Qingjun | Scientific Breakthroughs | Best Researcher Award

Assoc. Prof. Dr. Tang Qingjun | Technical Institute of Physics and Chemistry, Chinese Academy of Sciences | China

This research portfolio centers on advancing space thermal control and cryogenic refrigeration technologies, with significant emphasis on precision temperature management, lightweight system design, and enhanced performance for scientific payloads in orbit. The work covers key technological domains such as flexible heat transfer, thermal matching for low-temperature devices, insulation support structures, contamination control, and integrated thermal–mechanical engineering for spacecraft. A major focus of the research involves developing high-precision low-temperature control systems for space missions, enabling stable operation of sensitive optical payloads in complex orbital environments. Through comprehensive mastery of mechanics, thermodynamics, electromagnetics, and automated temperature regulation, several critical engineering challenges were overcome. These include improving temperature stability, reducing micro-vibration output, and optimizing thermal interfaces for high-performance detection instruments. The resulting technologies enhanced the scientific capabilities of spaceborne payloads and earned recognition from international experts in spacecraft engineering. Another central contribution lies in the development of lightweight pulse tube cryocoolers for space applications. Under major scientific and engineering programs, extensive basic and applied studies were conducted to design and optimize compact refrigeration systems. A series of prototypes was successfully built, achieving significant reductions in mass while preserving cooling capacity, operational lifespan, and structural robustness. These innovations contribute to next-generation spacecraft refrigeration solutions, supporting advanced astronomical observations and deep-space scientific missions. The research integrates theoretical modeling, high-frequency performance analysis, experimental verification, and system-level optimization. Publications include studies on coaxial and single-stage pulse tube cryocoolers, micro-scale units capable of reaching extremely low temperatures, inertance tube phase-shifting characteristics, multi-cold-finger systems, and thermo-mechanical behavior of cryogenic components. The work has appeared in leading scientific journals and international conferences covering thermal engineering, cryogenics, refrigeration science, and astronomical instrumentation. Collectively, these contributions advance cutting-edge cryogenic and thermal control technologies essential to modern space science, supporting higher-accuracy payloads, more efficient cooling solutions, and improved performance of future spacecraft systems.

Profile: Scopus

Featured Publications

Liu, C., Tian, B., Ma, J., Niu, Y., Tang, Q., Ma, Y., & Cai, J. (2025). Experimental investigation of a single-stage micro pulse tube cryocooler operating at 59 Hz with liquid nitrogen precooling: Achieving 14.8 K under 5 W input power. International Journal of Refrigeration.

Tian, B., Liu, C., Ma, J., Niu, Y., Tang, Q., Ma, Y., & Cai, J. (2025). Investigation on a micro pulse tube cryocooler operating at 152 Hz. Cryogenics.

Huan Wang | Smart Manufacturing | Best Researcher Award

Published on by Scientist Day

Dr. Huan Wang | Smart Manufacturing | Best Researcher Award

Dr. Huan Wang | sun yat-sen university | China

Huan Wang is a dedicated researcher currently pursuing a Ph.D. at the School of Advanced Manufacturing, Sun Yat-sen University, building upon a strong academic foundation established during his master’s studies in aerospace engineering at the same institution. His research focuses on advancing sensor technology through innovative approaches in temperature compensation, fault diagnosis, and the reliability assessment of pressure scanners—key components in precision measurement and industrial instrumentation. Over the years, he has contributed significantly to national and industry-driven scientific efforts, including participation in one National Key R&D Program, one National Natural Science Foundation project, and three important commissioned projects involving electronic pressure scanning valves. His expertise extends to instrumentation and measurement consultancy, allowing him to bridge academic research with practical engineering applications. Dr. Wang’s scholarly output includes more than eight peer-reviewed research articles, several of which he authored as first author in highly regarded SCI-indexed journals such as Measurement, Measurement Science and Technology, Micromachines, Instrumentation Science and Technology, and Metrology and Measurement Systems. His research demonstrates a strong commitment to integrating intelligent optimization algorithms with sensor systems to improve accuracy, stability, and reliability in real-world applications. Alongside his research achievements, he is a professional member of AAAS and IEEE, showcasing his active engagement with the global scientific community. Through his interdisciplinary skills, academic rigor, and industry collaborations, Huan Wang continues to make meaningful contributions to the fields of sensor technology, advanced manufacturing, and applied measurement science. His growing body of work reflects not only technical depth but also a forward-looking approach aimed at enhancing next-generation intelligent measurement systems. With a strong commitment to innovation, integrity, and scientific excellence, he stands out as a promising researcher who significantly contributes to the advancement of engineering research and instrumentation technologies.

Profile: Orcid

Featured Publications

Wang, H., Chen, X., Xia, J., Zhao, H., & Maddaiah, P. N. (2026). Newton-Raphson-based optimizer combined with LSSVM: Temperature compensation applied to small-range electronic pressure scanners. Flow Measurement and Instrumentation. https://doi.org/10.1016/j.flowmeasinst.2025.103127

Wang, H., Chen, X., Xia, J., Liu, P., & Zhao, H. (2025). A novel model fusing ALA and integrated learning: Temperature compensation for 700 kPa pressure scanners. International Journal of Thermophysics. https://doi.org/10.1007/s10765-025-03638-x

Wang, H. (2025). Hybrid mechanism and data driven approach for high-precision modeling of gas flow regulation systems of VFDR. Journal article. https://doi.org/10.1007/s40747-025-01899-5

Wang, H., Wu, T., Liu, P., Zou, Y., & Zeng, Q. (2025). Kernel extreme learning machine combined with gray wolf optimization for temperature compensation in pressure sensors. Metrology and Measurement Systems. https://doi.org/10.24425/mms.2025.152773

Wu, T., Wang, H., Huang, Z., & Maddaiah, P. N. (2025). Optimal tracking differentiator algorithm for accurate pressure scanner measurements. Instrumentation Science and Technology. https://doi.org/10.1080/10739149.2025.2556107

Liu, C., Wang, H., Zhu, H., Zhou, W., & Zhao, H. (2025). Optimized design of support points in solar panels based on thermal deformation analysis. Journal of Physics: Conference Series, 3039(1), 012004. https://doi.org/10.1088/1742-6596/3039/1/012004

Maria Pinelli | Research Excellence | Best Researcher Award

Published on by Scientist Day

Dr. Maria Pinelli | Research Excellence | Best Researcher Award

Dr. Maria Pinelli | Radboud University Medical Center | Italy

Dr. Maria Pinelli is an Assistant Professor Junior (RTDa) at the Politecnico di Milano (Italy) in the Department of Management, Economics, and Industrial Engineering (ING-IND/35). Her academic and research work focuses on technological innovation in healthcare, with particular attention to Health Technology Assessment (HTA), innovation management in hospitals, and the integration of scanning and assessment processes to enhance healthcare value creation. She earned her Ph.D. from Politecnico di Milano in 2025 with a thesis titled “MedTech Innovation in Hospitals: Re-Framing the Integration between Scanning and Assessment and the Determinants of Value.” During her doctoral studies, she was a Visiting Ph.D. Student at Radboud University (Netherlands), collaborating on international research exploring hospital technology strategies. Her academic background also includes a Master’s Degree in Management Engineering with specialization in Sustainable Operations Management and Social Innovation and a Bachelor’s Degree in Industrial Engineering, both completed with honors. Dr. Pinelli has published extensively in high-impact international journals such as Health Policy, Technological Forecasting and Social Change, PLOS ONE, IEEE Journal of Translational Engineering in Health and Medicine, and IJERPH. Her works contribute to understanding the strategic, clinical, and socio-economic evaluation of medical technologies and the role of digital transformation and sustainability in healthcare systems. She has been actively involved in teaching and coordinating courses such as Innovation in Health and Social Care, Healthcare Management, and Economia e Organizzazione Aziendale at Politecnico di Milano and Humanitas University. Her contributions extend to international conferences, including EURAM, ISPOR, IPDMC, and Health Technology Assessment International, where she presented cutting-edge research on hospital innovation, inclusive healthcare technologies, and decision-making frameworks. Dr. Pinelli also serves as a reviewer for several leading journals, including the Journal of Medical Internet Research and Health Services Management Research. Beyond academia, she has contributed to practitioner conferences addressing the impact of AI and MedTech innovation in healthcare. Through her multidisciplinary expertise, international collaboration, and commitment to advancing healthcare innovation, Dr. Maria Pinelli represents a new generation of scholars bridging management engineering and medical technology for sustainable, patient-centered care.

Profiles: Google Scholar

Featured Publications 

Pinelli, M., Moglia, A., Marsilio, L., Rossi, M., Lettieri, E., Mainardi, L., & Manzotti, A. (2023). Mixed reality and artificial intelligence: A holistic approach to multimodal visualization and extended interaction in knee osteotomy. IEEE Journal of Translational Engineering in Health and Medicine, 10. https://doi.org/10.1109/JTEHM.2023.3335608

Pinelli, M., Manetti, S., & Lettieri, E. (2023). Assessing the social and environmental impact of healthcare technologies: Towards an extended social return on investment. International Journal of Environmental Research and Public Health, 20(6), 5224. https://doi.org/10.3390/ijerph20065224

Di Francesco, A., Pinelli, M., Lettieri, E., Toletti, G., & Galli, M. (2023). Towards a more inclusive society: The social return on investment (SROI) of an innovative ankle–foot orthosis for hemiplegic children. Sustainability, 15(5), 4361. https://doi.org/10.3390/su15054361

Pinelli, M., Gerardi, C., Lettieri, E., Maioru, M., Marone, L., Bertoldi, L., Navanteri, G., Costantini, M., Botti, C., & Pellini, F. (2024). Comparison of indocyanine green with conventional tracers for sentinel lymph node biopsy in breast cancer: A multidisciplinary evaluation of clinical effectiveness, safety, organizational and economic impact. PLOS ONE, 19(8), e0309336. https://doi.org/10.1371/journal.pone.0309336

Pinelli, M., Lettieri, E., Boaretto, A., Casile, C., Citro, G., Zazzaro, B., & Ravazzoni, A. (2022). Glucometer usability for 65+ type 2 diabetes patients: Insights on physical and cognitive issues. Sensors, 22(16), 6202. https://doi.org/10.3390/s22166202

Sayed Abdul Majid Gilani | Emerging Technologies | Best Researcher Award

Published on by Scientist Day

Dr. Sayed Abdul Majid Gilani | Emerging Technologies | Best Researcher Award

Dr. Sayed Abdul Majid Gilani | Birmingham City University | United Kingdom

Dr. Sayed Abdul Majid Gilani is an accomplished researcher in electrical and electronic engineering, specializing in embedded systems, automation, and control engineering. His multidisciplinary research integrates hardware design, sensor networks, and artificial intelligence to develop innovative and energy-efficient solutions for real-world challenges. With over a decade of experience in academia and applied research, Dr. Gilani has contributed significantly to the advancement of embedded control technologies, renewable energy optimization, and industrial automation systems. His work emphasizes intelligent system design, IoT-based automation, and the integration of machine learning algorithms for enhanced performance and sustainability. Dr. Gilani has published extensively in high-impact journals and presented at leading international conferences, reflecting his global engagement and scientific rigor. He has also supervised numerous research projects and guided students in developing practical applications of emerging technologies. His research outputs demonstrate a strong commitment to technological innovation that bridges the gap between theory and application. Recognized for his academic excellence and collaborative research initiatives, Dr. Gilani continues to advance cutting-edge developments that contribute to the evolution of smart, adaptive, and efficient engineering systems—making him a deserving candidate for the Best Researcher Award.

Profiles: Google Scholar | Scopus | LinkedIn | Research Gate

Featured Publications 

Gilani, S. A. M., & Faccia, A. (2021). Broadband connectivity, government policies, and open innovation: The crucial IT infrastructure contribution in Scotland. Journal of Open Innovation: Technology, Market, and Complexity, 8(1), 1. https://doi.org/10.3390/joitmc8010001

Gilani, S. A. M., Copiaco, A., Gernal, L., Yasin, N., Nair, G., & Anwar, I. (2023). Savior or distraction for survival: Examining the applicability of machine learning for rural family farms in the United Arab Emirates. Sustainability, 15(4), 3720. https://doi.org/10.3390/su15043720

Gilani, S., Gernal, L., Tantry, A., Yasin, N., & Sergio, R. (2022). Leadership styles adopted by Scottish micro-businesses during the COVID-19 pandemic. In Proceedings of the International Conference on Business and Technology (pp. 144–156). Springer.

Al Jaghoub, J., Suleiman, A., Takshe, A. A., Moussa, S., Gilani, S. A. M., Sheikh, S., & others. (2024). The role of innovation in waste management for enterprises: A critical review of the worldwide literature. In Technology-Driven Business Innovation (pp. 453–464). Springer.

Gernal, L., Tantry, A., Gilani, S. A. M., & Peel, R. (2024). The impact of online learning and soft skills on college student satisfaction and course feedback. In Technology-Driven Business Innovation: Unleashing the Digital Advantage (pp. 42–54). Springer.

Gilani, S. A. M., Tantry, A., Askri, S., Gernal, L., & Sergio, R. (2023). Adoption of machine learning by rural farms: A systematic review. In Proceedings of the International Conference on Computing and Informatics (pp. 324–335). Springer.

Guangqin Li | Innovation Impact | Best Researcher Award

Published on by Scientist Day

Prof. Guangqin Li | Innovation Impact | Best Researcher Award

Prof. Guangqin Li | Anhui University of Finance & Economics | China

Dr. Guangqin Li began his academic journey with a doctorate in Urban Economics and Management from Shanghai University of Finance and Economics and now serves as a professor and master’s supervisor at Anhui University of Finance & Economics. With deep research interests in the digital economy, industrial economy, environmental economy, and regional economy, he has established himself as a versatile scholar bridging theoretical insights and empirical applications. His bibliometric profile reflects 37 published documents, 1,847 citations from 1,765 citing documents, and an h-index of 18, underscoring his growing impact within the academic community. His publications span studies on the green transformation of industry, the interface of urban innovation and infrastructure investment, and the spatial dynamics of economic development. He has contributed extensively through consultancy projects and collaborations with industry and regional authorities and serves on editorial boards of key journals in his fields. His research output has helped inform policy discussions on how new infrastructure investment can catalyze innovation in cities, particularly by influencing talent agglomeration and economic clustering. Poised at the cutting edge of his disciplines, he continues to mentor rising scholars and engage in interdisciplinary work, positioning his future contributions to shape the intersection of digitalization, regional growth, and sustainability.

Profiles: Scopus | Orcid 

Featured Publications 

Zhang, B., & Li, G. (2025). New infrastructure special debt, agglomeration and urban innovation: Evidence from China. Economic Modelling.

Liu, W., & Li, G. (2025). Sci-tech finance and urban entrepreneurial activity: Evidence from China. Economic Change and Restructuring.

Li, G., & Niu, W. (2025). How does fintech promote urban innovation? Empirical evidence from China. Economic Change and Restructuring.

Fang, X., Liu, M., & Li, G. (2024). Can the green credit policy promote green innovation in enterprises? Empirical evidence from China. Technological and Economic Development of Economy.

Li, G., Jin, Y., & Gao, X. (2023). Digital transformation and pollution emission of enterprises: Evidence from China’s micro-enterprises. Energy Reports.

Kristine Hallisy | Innovation Impact | Best Researcher Award

Published on by Scientist Day

Assoc. Prof. Dr. Kristine Hallisy | Innovation Impact | Best Researcher Award

Assoc. Prof. Dr. Kristine Hallisy | University of WI-Madison | United States

Dr. Kristine Marie (Kristi) Hallisy, PT, DSc, is an Associate Professor (CHS) in the Department of Family Medicine and Community Health at the University of Wisconsin–Madison School of Medicine and Public Health. She plays a pivotal role in the Doctor of Physical Therapy Program, where she integrates clinical expertise with innovative teaching practices. Dr. Hallisy’s professional focus lies in advancing physical therapy education, promoting evidence-based practice, and fostering interprofessional collaboration. Her research interests include clinical education models, patient-centered care, and strategies for enhancing student learning and professional identity formation. With years of academic and clinical experience, she has contributed to shaping future healthcare professionals through mentorship and curriculum development. She is actively involved in institutional service and community outreach initiatives that strengthen health education and practice. Dr. Hallisy has presented her work at national and international conferences and has published in peer-reviewed journals related to physical therapy and health sciences education. She emphasizes compassionate, ethical, and holistic approaches to healthcare delivery. Her leadership reflects a deep commitment to improving health outcomes and educational quality. Known for her collaborative spirit, she bridges the gap between research and clinical practice. Dr. Hallisy continues to inspire excellence among students, educators, and practitioners alike.

Profile: Orcid

Featured Publications

Salihu, E. Y., Hallisy, K., Baidoo, S., Malta, J. S., Ferrill, C., Melgoza, F., Sandretto, R., Culotti, P. C., & Chewning, B. (2025). Feasibility and acceptability of a “Train the Leader” model for disseminating Tai Chi Prime with fidelity in African American/Black and Latinx communities: A pilot mixed-methods implementation study. Healthcare, 13(20), 2622. https://doi.org/10.3390/healthcare13202622