Imran Rehan l Data Classification | Best Researcher Award

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Assist. Prof. Dr. Imran Rehan l Data Classification | Best Researcher Award

Gomal University | Pakistan

Assist. Prof. Dr. Imran Rehan is a physicist specializing in biophotonics with a Ph.D. in Physics and a postdoctoral focus on AI in healthcare. With over a decade of teaching and research experience, Dr. Imran Rehan integrates Raman spectroscopy, LIBS, fluorescence spectroscopy, and phase-lock-in polarimetry with machine learning to develop noninvasive, label-free diagnostic tools for diseases such as diabetes, cancer, and kidney disorders. His research emphasizes clinical spectroscopy, biomarker discovery, and optical instrumentation development. Dr. Imran Rehan has published extensively, contributed to book chapters, designed advanced spectroscopic systems, and received honors including the International Outstanding Scientist Award and Best Researcher of the Year, demonstrating impactful interdisciplinary innovation.

Citation Metrics (Scopus)

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Citations
525

Documents
58

h-index
12

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Featured Publications

Machine learning assisted laser spectroscopy for simultaneous multiclass diabetes detection from blood plasma
– Microchemical Journal, 2026
Cardiovascular risk prediction in diabetes: a hybrid machine learning approach
– Biomedical Physics Engineering Express, 2025
A CatBoost and ExtraTrees-based softvoting ensemble approach for non-invasive diabetes detection using hair LIBS spectral data
– Microchemical Journal, 2025
Synthesis and characterization of CNTs doped polymeric composites: comparative studies on exploring impact of CNT concentration on morphological, structural, thermokinetic and mechanical attributes
– Zeitschrift Fur Physikalische Chemie, 2025
Application of Laser Spectroscopy and Machine Learning for Diagnostics of Uncontrolled Type 2 Diabetes
– Applied Spectroscopy, 2025

Zhengzheng Cao | Liquid Nitrogen (LN2)-Assisted Fracturing | Young Scientist Award

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Dr. Zhengzheng Cao | Liquid Nitrogen (LN2)-Assisted Fracturing | Young Scientist Award

 Henan Polytechnic University | China

Dr. Cao Zhengzheng is an Associate Professor and Master’s Supervisor in the fields of civil engineering and engineering mechanics, recognized as a university-level Young Backbone Teacher. He earned his Ph.D. in engineering-related disciplines and has developed a strong academic profile combining theoretical analysis with engineering applications. He has served as a Visiting Scholar at the Colorado School of Mines, USA, where he engaged in international collaboration on rock mechanics and geotechnical engineering research. Dr. Cao has led six national- and provincial-level research projects, including grants from the National Natural Science Foundation of China and the Henan Provincial Natural Science Foundation, reflecting his sustained research competitiveness. His primary research interests include rock mechanics, geotechnical engineering, mechanical behavior of geomaterials, and engineering mechanics, with a focus on failure mechanisms and stability analysis. He has published more than 20 SCI-indexed journal articles as first or corresponding author in leading journals such as Rock Mechanics and Rock Engineering, including multiple ESI highly cited and hot papers. His academic contributions have been recognized with three provincial and ministerial-level awards. In addition, he has published one scholarly monograph, holds eight authorized patents, and has guided numerous award-winning graduate and undergraduate students. Overall, Dr. Cao’s work significantly advances both fundamental understanding and practical applications in civil and geotechnical engineering. His academic impact is reflected by 1,250 citations, 82 documents, and an h-index of 22 (citations drawn from 846 documents).

Citation Metrics (Scopus)

1400
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Citations
1,250

Documents
82

h-index
22

Citations

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h-index


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Featured Publications

Tianli Ding | Social Impact | Research Excellence Award

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Dr. Tianli Ding | Social Impact | Research Excellence Award

Northwest University | China

Dr. Ding Tianli is an Assistant Professor of Law whose scholarship centers on comparative law and intellectual property law, with particular emphasis on patent law, copyright law, and cross-border intellectual property protection. He earned a Doctor of Laws (LL.D.) through a joint doctoral program between Nanjing University and the University of Freiburg, where his training integrated Chinese and European legal traditions and methodologies. His academic experience includes teaching undergraduate and postgraduate courses such as Comparative Law, Intellectual Property Law, and Patent Law, alongside supervising graduate research in comparative legal systems and intellectual property disputes. Dr. Ding has also contributed to curriculum development and the strengthening of intellectual property law as a specialized discipline within legal education. International research experience as a research assistant at the University of Freiburg further enriched his expertise in comparative and international economic law with an East Asian focus. His research addresses the interaction between intellectual property protection, digital transformation, and governance, as well as interdisciplinary issues linking criminal law, psychology, and cognitive impairment. Dr. Ding has published in reputable international journals, reflecting both doctrinal and empirical approaches to contemporary legal challenges. Overall, his work aims to advance comparative legal understanding and support the development of effective intellectual property protection mechanisms in an increasingly globalized and digitalized legal environment.

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Featured Publication

JianHua Xie | Engineering | Excellence in Research

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Prof. Dr. JianHua Xie | Engineering | Excellence in Research

Xinjiang Agricultural University | China

Prof. Dr. Xie Jianhua is a Professor of Engineering and a supervisor of both master’s and doctoral students, specializing in agricultural engineering and machinery. She is an active member of the Chinese Society of Agricultural Engineering and the Chinese Society of Agricultural Machinery. She holds a Ph.D. in Engineering and has led and participated in numerous national and provincial research projects, including the National Natural Science Foundation of China project on the working mechanism of rod-tooth type film collecting and unloading mechanisms, as well as projects on intelligent monitoring of crop production and mechanization of sugar beet planting and harvesting. Prof. Xie has published over 60 academic papers, with more than 20 indexed in SCI/EI journals. Her work has received 307 citations across 228 documents, with an h-index of 10. She has obtained 10 invention patents, over 10 utility model patents, and 4 software copyrights. Her research focuses on intelligent agricultural machinery, mechanization of crop production, automation, and innovative system design for agricultural processes. She has been recognized with multiple awards, including a First Prize for Provincial and Ministerial Technological Invention, a Second Prize for Science and Technology Progress, and multiple Third Prizes for Science and Technology Progress and regional excellence. Prof. Xie’s work combines engineering innovation with practical agricultural applications, making significant contributions to modern agricultural mechanization.

Profile : Scopus

Featured Publications

Design and Experimental Investigation of Pneumatic Drum-Sieve-Type Separator for Transforming Mixtures of Protaetia Brevitarsis Larvae. Agriengineering, 2025.

Design and Experimental Evaluation of a Rotary Knife-Type Device for Chopping Film-Mixed Residues. Agriculture (Switzerland), 2025.

Design and Experiment of Rotary Knife-Axial Flow Drum Combined Device for Chopping and Separating Film Residue Mixture. Nongye Jixie Xuebao (Transactions of the Chinese Society for Agricultural Machinery), 2025.

Daxiong Ji | Data Analysis | Research Excellence Award

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Dr. Daxiong Ji | Data Analysis | Research Excellence Award

Zhejiang University | China

Dr. Daxiong Ji is an Associate Professor at the Institute of Marine Electronics and Intelligent Systems, Ocean College, Zhejiang University, and a Senior Member of IEEE. He earned his Ph.D. in Pattern Recognition and Intelligent Systems from the University of Chinese Academy of Sciences and a B.S. in Automation from Wuhan Polytechnic University. Dr. Ji has held visiting scholar positions at the University of Melbourne, University of Plymouth, and University of Victoria, collaborating internationally on advanced marine robotics research. His expertise spans automatic control, artificial intelligence applications, autonomous marine robotics, electrical engineering, and intelligent systems. He has supervised numerous undergraduate, master’s, and doctoral students, leading courses on Marine Robot Design, Marine Intelligent Systems, and Professional Practices. Dr. Ji has received multiple honors, including the First Prize of Zhejiang Provincial Teaching Achievement Award, recognition as an Excellent Moral Education Mentor, and awards for scientific and technological achievements from the Chinese Academy of Sciences. He has led and participated in numerous national and international research projects, focusing on autonomous navigation, fault diagnosis, and data-driven control of underwater vehicles. Dr. Ji is also an accomplished inventor with multiple patents in underwater robotics and autonomous systems. His research has been widely published in top journals, reflecting significant contributions to marine intelligent systems.

Profiles : Orcid | Google Scholar

Featured Publications

Ji, D.; Ogbonnaya, S.G.; Hussain, S.; Hussain, A.F.; Ye, Z.; Tang, Y.; Li, S. Three-Dimensional Dynamic Positioning Using a Novel Lyapunov-Based Model Predictive Control for Small Autonomous Surface/Underwater Vehicles. Electronics, 2025, 14(3), 489.

Xu, L.; Ji, D. Online Fault Diagnosis Using Bioinspired Spike Neural Network. IEEE Transactions on Industrial Informatics, 2024.

Zhou, J.; Ye, Z.; Zhao, J.; Ji, D.; Peng, Z.; Lu, G.; Tadda, M.A.; Shitu, A.; Zhu, S. Multi-detector and Motion Prediction-Based High-Speed Non-Intrusive Fingerling Counting Method. Biosystems Engineering, 2024, 218, 1–15.

Ji, D.; Wang, R. Path Following of QAUV Using Attitude-Velocity Coupling Model. Ocean Engineering, 2024, 293, 116885.

Ji, D.; Cheng, H.; Zhou, S.; Li, S. Dynamic Model-Based Integrated Navigation for a Small and Low-Cost Autonomous Surface/Underwater Vehicle. Ocean Engineering, 2023, 273, 114091.

Almudena García-García | Climate Change Data Analysis | Best Researcher Award

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Dr. Almudena García-García | Climate Change Data Analysis | Best Researcher Award

Helmholtz Centre for Environmental Research – UFZ | Germany

Dr. Almudena García-García is a scientist specializing in remote sensing and environmental sciences, currently affiliated with the Helmholtz Centre for Environmental Research (UFZ) and the Remote Sensing Centre for Earth System Research at Leipzig University. She earned her Ph.D. in Environmental Science from Memorial University of Newfoundland and St. Francis Xavier University, following an M.Sc. in Earth Sciences and a B.Sc. in Physics. With extensive experience as a course and lab instructor, research assistant, and project manager, her work focuses on climate extremes, soil heat dynamics, hydrology, and biodiversity under changing environmental conditions. Dr. García-García has led and contributed to multiple national and international research projects, including DFG-funded studies on soil heat extremes and ESA’s 4DHYDROLOGY initiative. She has co-authored numerous high-impact peer-reviewed publications on soil moisture, transpiration, land-surface modeling, and Earth observation data integration. Recognized for her scientific excellence, she has received the Governor General Graduate Medal, the Moire A. Wadleigh Award, and a nomination to the 73rd Lindau Nobel Laureate Meeting. Dr. García-García has supervised bachelor, master, and Ph.D. students, fostering the next generation of environmental scientists. Her research combines remote sensing, Earth system modeling, and observational data to better understand the impacts of climate variability and extremes on terrestrial and hydrological systems.

Profile : Orcid

Featured Publications

Beltrami, H., González-Rouco, J. F., Peng, J., Cuesta-Valero, F. J., García-García, A., & García-Pereira, F. (2025, November 12). Robust increase in observed heat storage by the global subsurface. Science Advances.

Mahecha, M. D., Bastos, A., Bohn, F. J., Eisenhauer, N., Feilhauer, H., Hickler, T., Kalesse-Los, H., Migliavacca, M., Otto, F. E. L., Peng, J., et al. (2024). Biodiversity and climate extremes: Known interactions and research gaps. Earth’s Future.

Garcia-Pereira, F., Gonzalez-Rouco, J. F., Melo-Aguilar, C., Steinert, N. J., Garcia-Bustamante, E., de Vrese, P., Jungclaus, J., Lorenz, S., Hagemann, S., Cuesta-Valero, F. J., et al. (2024). First comprehensive assessment of industrial-era land heat uptake from multiple sources. Earth System Dynamics, 15, 547–2024.

Garcia-Pereira, F., Gonzalez-Rouco, J. F., Schmid, T., Melo-Aguilar, C., Vegas-Canas, C., Steinert, N. J., Roldan-Gomez, P. J., Cuesta-Valero, F. J., Garcia-Garcia, A., & Beltrami, H., et al. (2024). Thermodynamic and hydrological drivers of the soil and bedrock thermal regimes in central Spain. Soil, 10, 1–2024.

Meng, X., Hu, J., Peng, J., Li, J., Leng, G., Ferhatoglu, C., Li, X., Garcia-Garcia, A., & Yang, Y. (2024). Validation and expansion of the soil moisture index for assessing soil moisture dynamics from AMSR2 brightness temperature.