Jingyuan Zhao | Energy and Sustainability | Research Excellence Award

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Dr. Jingyuan Zhao | Energy and Sustainability | Research Excellence Award

University of California Davis | United States

Jingyuan (Andy) Zhao, Ph.D., is an Assistant Professional Researcher and independent principal investigator at the University of California, Davis, internationally recognized for pioneering work in AI-enabled battery and energy systems. His research integrates multiphysics and multiscale modeling with advanced artificial intelligence to address battery safety, diagnostics, prognostics, and system-level optimization for electrified transportation.  He has led or co-led major U.S. and international research projects supported by USDOT, Caltrans, CEC, CARB, and national science foundations in China, while also translating research into industrial impact through prior leadership roles in electric vehicle battery intelligence. His academic training spans mechanical and vehicle engineering, complemented by extensive postdoctoral research in the U.S. and China. Dr. Zhao has received numerous honors, including Elsevier–Stanford World’s Top 2% Scientist and ScholarGPS Top 0.5% Scholar distinctions. Through interdisciplinary scholarship, global collaboration, and mentorship, his work advances safe, intelligent, and scalable battery energy systems, bridging laboratory innovation with real-world deployment and shaping the future of sustainable mobility.

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Review on Supercapacitors: Technologies and Performance Evaluation
J. Zhao, A.F. Burke, Journal of Energy Chemistry, 59, 276–291, 2021. (Citations: 602)


Autonomous Driving System: A Comprehensive Survey
J. Zhao, W. Zhao, B. Deng, Z. Wang, F. Zhang, et al., Expert Systems with Applications, 242, 122836, 2024. (Citations: 330)


Electrochemical Capacitors: Materials, Technologies and Performance
J. Zhao, A.F. Burke, Energy Storage Materials, 36, 31–55, 2021. (Citations: 202)


Electrochemical Capacitors: Performance Metrics and Evaluation by Testing and Analysis
J. Zhao, A.F. Burke, Advanced Energy Materials, 11(1), 2002192, 2021. (Citations: 182)


Machine Learning for Predicting Battery Capacity for Electric Vehicles
J. Zhao, H. Ling, J. Liu, J. Wang, A.F. Burke, Y. Lian, eTransportation, 15, 100214, 2023. (Citations: 171)

Laura Ferrer | Chemistry and Materials Science | Research Excellence Award

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Prof. Dr. Laura Ferrer | Chemistry and Materials Science | Research Excellence Award

University of the Balearic Islands | Spain

Laura Ferrer is a highly cited researcher in environmental radioactivity and analytical chemistry. She has authored 35 peer-reviewed publications, many of which are widely referenced in leading journals such as Journal of Analytical Atomic Spectrometry, Talanta, TrAC Trends in Analytical Chemistry, and Food Chemistry. Her academic training and professional experience are rooted in advanced analytical methodologies, environmental monitoring, and radiochemical analysis, with extensive collaboration across European and Latin American institutions. Throughout her career, she has contributed significantly to the development of automated flow analysis systems, multisyringe flow injection techniques, and trace-level determination of radionuclides and heavy metals in environmental and food samples. Her research interests span environmental contamination, heavy metal partitioning, radiochemical automation, water quality monitoring, and analytical instrumentation, addressing both methodological innovation and real-world environmental challenges. Her work has supported funding-mandated open-access research and influenced regulatory and scientific practices in environmental assessment. Overall, Laura Ferrer’s academic contributions position her as a leading authority in environmental analytical chemistry, combining methodological excellence with high scientific visibility and long-term research impact.

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Marta Filipa Simões | Astrobiology | Research Excellence Award

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Prof. Dr. Marta Filipa Simões | Astrobiology | Research Excellence Award

Macau University of Science and Technology | Macau

Marta Filipa Simões is an internationally recognized researcher in microbiology, mycology, astrobiology, and planetary protection, with strong interdisciplinary expertise spanning environmental microbiology, filamentous fungi, astromycology, and microgravity research. She has authored 29+ peer-reviewed scientific documents, accumulating 1,338 total citations (884 since 2021), with an h-index of 20 and an i10-index of 29, reflecting sustained global research impact. Her academic training and professional experience are rooted in life sciences, pharmaceutical sciences, and environmental biotechnology, with appointments and collaborations across leading international institutions and space-science programs. Her research focuses on extremophiles, fungal biodiversity, microbial survival in space and extreme environments, biogenic metal nanoparticles, antimicrobial resistance, and microbial applications in sustainability and planetary habitability models. She has contributed to highly cited works in journals such as Gene, AMB Express, Astrobiology, Life, and Environmental Chemistry Letters, and has played a significant role in advancing microbial astrobiology and planetary protection frameworks. Her scholarly excellence is supported by international collaborations, funded research initiatives, and contributions to quality management systems in microbial collections. Overall, her work bridges Earth and space microbiology, delivering high-impact science with relevance to health, sustainability, and space exploration.

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Zohaib Khan | Engineering and Technology | Excellence in Research Award

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Dr. Zohaib Khan | Engineering and Technology | Excellence in Research Award

Jiangsu University | China

Zohaib Khan is a PhD candidate in Control Science and Engineering at Jiangsu University, specializing in machine learning–driven perception and control for intelligent robotic systems. With over six years of research and applied experience, his work bridges deep learning, computer vision, and real-time robotic control, with a strong focus on agricultural robotics and precision farming. He has authored more than 10 high-impact SCI-indexed journal articles, achieving an h-index of 6, with 11 research documents and 121 citations. His research interests include object detection and segmentation (YOLO series, transformer-based models, RCNN), vision-guided navigation, precision spraying, and robust control of autonomous robots in unstructured environments. Zohaib has contributed as both first and co-author to leading journals such as Computers and Electronics in Agriculture, Agronomy, Sensors, and IEEE Transactions on Industrial Electronics. Alongside research, he has extensive experience supervising student projects and developing real-time AI pipelines using Python, PyTorch, OpenCV, ROS, and C/C++. His academic excellence is recognized through multiple national and international awards, including innovation, debate, and research excellence honors. Overall, Zohaib Khan represents a strong blend of theoretical rigor and practical AI deployment, aiming to advance large-scale industrial and agricultural perception systems.

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Rashad Mukhtar Balal | Agricultural Science and Innovation | Best Researcher Award

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Prof. Dr. Rashad Mukhtar Balal | Agricultural Science and Innovation | Best Researcher Award

University of Sargodha | Pakistan

Prof. Rashad Mukhtar Balal is a leading horticultural researcher and academician currently heading the Department of Horticulture at the University of Sargodha. He holds a PhD in Pomology, Biotechnology, and Horticultural Stress Physiology  and earlier earned an MPhil in Horticultural Biotechnology and a BSc (Hons) in Horticulture. Over more than two decades, he has served in roles from Assistant Professor to full Professor, with visiting appointments at Cornell University (USA) and Harper Adams University (UK). His research spans Pomology, stress physiology of horticultural crops, biotechnology, citrus rootstocks and nursery management, off-season vegetable production, and the use of phytoextracts to mitigate abiotic and biotic stress. According to his profile on ScienceDirect, He has received numerous national and international recognitions, including the ASHS Outstanding Research Publication Award, national innovation awards, and accolades for establishing certified disease-free citrus nurseries. Through leading significant funded projects and mentoring many MPhil and PhD scholars, he continues to advance horticultural research and education in Pakistan.

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Featured Publications

Shahid, M. A., Sarkhosh, A., Khan, N., Balal, R. M., Ali, S., Rossi, L., Gómez, C., … (2020). Insights into the physiological and biochemical impacts of salt stress on plant growth and development. Agronomy, 10(7), 938.

Abbas, T., Balal, R. M., Shahid, M. A., Pervez, M. A., Ayyub, C. M., Aqueel, M. A., … (2015). Silicon-induced alleviation of NaCl toxicity in okra (Abelmoschus esculentus) is associated with enhanced photosynthesis, osmoprotectants and antioxidant activities. Acta Physiologiae Plantarum, 37(2), 6.

Khan, H. A., Ayub, C. M., Pervez, M. A., Bilal, R. M., Shahid, M. A., & Ziaf, K. (2009). Effect of seed priming with NaCl on salinity tolerance of hot pepper (Capsicum annuum L.) at seedling stage. Soil and Environment, 28(1), 81–87.

Shahid, M. A., Pervez, M. A., Balal, R. M., Mattson, N. S., Rashid, A., Ahmad, R., … (2011). Brassinosteroid (24-epibrassinolide) enhances growth and alleviates the deleterious effects induced by salt stress in pea (Pisum sativum L.). Australian Journal of Crop Science, 5(5), 500–510.

Shahid, M. A., Balal, R. M., Khan, N., Zotarelli, L., Liu, G. D., Sarkhosh, A., … (2019). Selenium impedes cadmium and arsenic toxicity in potato by modulating carbohydrate and nitrogen metabolism. Ecotoxicology and Environmental Safety, 180, 588–599.

Sohail Ahmad Khan | Mathematics | Young Scientist Award

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Dr. Sohail Ahmad Khan | Mathematics | Young Scientist Award

Quaid I Azam University Islamabad | Pakistan

Dr. Sohail Ahmad Khan is a distinguished researcher in Applied Mathematics with a strong background in Computational Fluid Dynamics, mathematical modeling, and heat and mass transfer. He earned his Ph.D., M.Phil., and M.Sc. in Applied Mathematics from Quaid-i-Azam University, Pakistan. His academic journey reflects a deep commitment to advancing analytical and numerical methods for nonlinear problems in Newtonian and non-Newtonian fluid mechanics.  Dr. Khan’s research primarily focuses on nanofluid flow, entropy generation, magnetohydrodynamics, and thermal analysis using advanced techniques such as the Homotopy Analysis Method, Finite Difference Method, and Keller Box Method. He actively serves as a reviewer for more than 120 high-impact journals and has received multiple international recognitions, including the World’s Top 2% Scientist ranking by Stanford University in 2022 and 2024. His dedication to mathematical innovation and interdisciplinary applications continues to influence modern engineering and physical sciences, contributing significantly to global research on nonlinear transport phenomena and energy optimization.

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Featured Publications

Hayat, T., Khan, S. A., Khan, M. I., & Alsaedi, A. (2019). Theoretical investigation of Ree–Eyring nanofluid flow with entropy optimization and Arrhenius activation energy between two rotating disks. Computer Methods and Programs in Biomedicine, 177, 57–68.

Khan, S. A., Hayat, T., Alsaedi, A., & Ahmad, B. (2021). Melting heat transportation in radiative flow of nanomaterials with irreversibility analysis. Renewable and Sustainable Energy Reviews, 140, 110739.

Hayat, T., Khan, S. A., Khan, M. I., & Alsaedi, A. (2019). Optimizing the theoretical analysis of entropy generation in the flow of second grade nanofluid. Physica Scripta, 94(8), 085001.

Razaq, A., Hayat, T., Khan, S. A., & Momani, S. (2023). ATSS model based upon applications of Cattaneo-Christov thermal analysis for entropy optimized ternary nanomaterial flow with homogeneous-heterogeneous chemical reactions. Alexandria Engineering Journal, 79, 390–401.

Khan, S. A., Hayat, T., Khan, M. I., & Alsaedi, A. (2020). Salient features of Dufour and Soret effect in radiative MHD flow of viscous fluid by a rotating cone with entropy generation. International Journal of Hydrogen Energy, 45(28), 14552–14564.