Mr. Fuyun Lu | Soil Water | Sensor Data Sensing Award

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Mr. Fuyun Lu | Soil Water | Sensor Data Sensing Award 

Mr. Fuyun Lu | Soil Water | China Agricultural University | China

Mr. Fuyun Lu is a male researcher and student specializing in soil-erosion monitoring and hydrodynamic measurement technologies, with a primary focus on quantifying soil-water flux and measuring the velocity of shallow overland flow. He is currently enrolled at China Agricultural University, where he is developing expertise in integrating advanced sensor technologies into intelligent, high-accuracy instruments capable of real-time environmental monitoring. His professional experience includes the completion of two research projects, participation in one consultancy/industry project, and the development of one patent, demonstrating applied innovation in environmental sensing and instrumentation. Mr. Fuyun Lu’s research interests include soil-water dynamics, erosion control, hydrology, environmental monitoring, and the development of sensor-based measurement systems, while his technical skills encompass experimental design, sensor integration, precision flow measurement, data acquisition, and hydrodynamic modeling. His contributions, including publications in peer-reviewed journals indexed in SCI/Scopus, reflect his growing influence in the field and his commitment to translating research into practical solutions for sustainable land and water management.

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Dr. Shaokun Yang | Geotechnical Analysis | Research Excellence Award

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Dr. Shaokun Yang | Geotechnical Analysis | Research Excellence Award 

Dr. Shaokun Yang | Geotechnical Analysis | Army Engineering University of PLA | China

Dr. Shaokun Yang is a male researcher and academic specializing in geotechnical engineering, particularly focusing on the mechanical behavior of soft soil foundations and innovative reinforcement and treatment techniques. He earned his Ph.D. in Civil Engineering from Donghua University and currently serves as a Lecturer at the Army Engineering University of PLA, where he has been selected as a Military Youth Science and Technology Talent Cultivation Candidate. His professional experience spans multiple national and international research projects, including four funded by the National Natural Science Foundation of China, consultancy projects in applied civil and military engineering, and active engagement in the development of engineering standards. Dr. Shaokun Yang has successfully completed five major research projects and has contributed to the creation of eight patents, demonstrating strong applied innovation and technical problem-solving skills. His research interests include soft soil mechanics, foundation stabilization, geotechnical reinforcement, soil-structure interaction, and advanced instrumentation for soil monitoring.

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Prof. Dr. Amira Haddouk | Wireless Energy | Best Researcher Award

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Prof. Dr. Amira Haddouk | Wireless Energy | Best Researcher Award 

Prof. Dr. Amira Haddouk | Wireless Energy | Higher National Engineering School of Tunis | Tunisia

Prof. Dr. Amira Haddouk is a female expert in electrical systems, measurements, and instrumentation, recognized for her substantial contributions to applied mathematics, sensor systems, and precision measurement. She holds a doctoral degree in measurements and instrumentation from the Higher School of Sciences and Techniques of Tunis and a habilitation diploma in electrical systems from the National Higher School of Engineering of Tunis (ENSIT), which laid the foundation for her advanced expertise in experimental design, sensor instrumentation, and metrology. Prof. Dr. Amira Haddouk currently serves as Head of the Measurement and Instrumentation Laboratory at ENSIT, leading research initiatives, supervising technical projects, and coordinating international collaborations. She has published more than 20 scholarly articles in Scopus-indexed journals and conferences, accumulating 105 citations, an h-index of 5, and an i10-index of 2, demonstrating significant academic impact and influence.

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Quasi-Balanced Bridge Method for the Measurements of the Impedances


– IET Science, Measurement & Technology, 2009 · 15 citations


Harmonic Pollution Caused by Non-Linear Load: Analysis and Identification


– Int. Journal of Energy & Environmental Engineering, 2018 · 9 citations

Prof. Ana Mestrovic | Complex Networks | Research Excellence Award

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Prof. Ana Mestrovic | Complex Networks | Research Excellence Award

Prof. Ana Mestrovic | Complex Networks | Faculty of Informatics and Digital Technologies | Croatia

Prof. Ana Mestrovic, PhD is a female senior academic and internationally recognized researcher in artificial intelligence with a primary focus on natural language processing, semantic technologies, and complex network analysis, whose work strongly contributes to data-driven sensing, information interpretation, and intelligent systems. Her educational background culminated in a doctoral degree earned at the University of Rijeka, which established her foundation in advanced computational methods and interdisciplinary AI research. She currently serves as a Full Professor at the Faculty of Informatics and Digital Technologies, University of Rijeka, where she holds key leadership roles as Head of the Laboratory for Semantic Technologies and Head of the Laboratory for Complex Networks at the Center for Artificial Intelligence and Cybersecurity. Prof. Ana Mestrovic, PhD has produced more than 60 Scopus-indexed publications and over 100 total scholarly works, accumulating more than 700 citations across over 570 citing documents, with an h-index of 13 and a verified, demonstrating strong academic impact.

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Dr. Ahmad Azeem | Agriculture Awards | Research Excellence Award

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Dr. Ahmad Azeem | Agriculture Awards | Research Excellence Award 

Dr. Ahmad Azeem | Agriculture Awards | Chinese academy of sciences | China

Dr. Ahmad Azeem is a male academic and applied researcher in Agriculture Water Soil Engineering with comprehensive expertise spanning irrigation and drainage engineering, saline water management, soil–water–plant interactions, and environmentally sustainable agricultural systems. He holds a doctoral qualification in agricultural equipment engineering, complemented by postgraduate and undergraduate training in agricultural engineering with specialization in irrigation and drainage, providing a strong interdisciplinary foundation that integrates engineering principles with plant physiology and hydrological science. His professional experience encompasses international academic and research appointments across leading institutions, where he has contributed as an associate researcher, postdoctoral researcher, assistant professor, research assistant, and laboratory demonstrator, demonstrating sustained engagement in both research-intensive and teaching-oriented environments. His work bridges laboratory experimentation and field-scale implementation, particularly in saline irrigation, dilution strategies, re-watering techniques, greenhouse cultivation, hydroponic systems, and water-saving irrigation technologies. Dr. Ahmad Azeem’s research interests include saline and marginal water use in agriculture, hydrological engineering, environmental stress responses in crops, ecological impacts of irrigation practices, halophyte plant systems, and sustainable water resource management under climate variability.

Citation Metrics (Google Scholar)

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Featured Publications


Studies on Seasonal Variations of Mixed River Water in Pakistan


– Journal of Research (Science), 2000 · 73 Citations

Optimization of Irrigation and Nutrient Concentration for Greenhouse Tomato


– Archives of Agronomy and Soil Science, 2017 · 48 Citations

Hexagonal Scale Invariant Feature Transform (H-SIFT) for Facial Feature Extraction


– Journal of Applied Research and Technology, 2015 · 47 Citations

Dr. Erfan Naghsh | Biomedical Signal | Excellence in Research Award

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Dr. Erfan Naghsh | Biomedical Signal | Excellence in Research Award

Dr. Erfan Naghsh | Biomedical Signal | University of Isfahan | Iran

Dr. Erfan Naghsh is a male researcher with established expertise in electrical and biomedical engineering, recognized for his interdisciplinary contributions to biomedical sensing, neuroscience-oriented signal processing, and intelligent health monitoring systems. He holds a doctoral degree in electrical engineering with advanced specialization in EEG-based neurological disorder analysis, supported by graduate-level training in biomedical engineering and foundational education in electrical engineering. His academic formation has enabled him to bridge theoretical signal processing with practical biomedical applications, particularly in neurodegenerative disease detection, epileptic seizure localization, and multimodal EEG–MRI data fusion. Professionally, Dr. Erfan Naghsh has served in postdoctoral, research associate, and research assistant roles across leading academic institutions, contributing to internationally collaborative research projects focused on advanced sensor data analytics, neural signal interpretation, and clinical decision-support systems. His teaching portfolio spans undergraduate and postgraduate instruction in biomedical signal processing, digital signal processing, control systems, electronics, robotics, and laboratory-based engineering education, reflecting sustained commitment to academic mentorship and workforce development. His research interests include biomedical signal processing, neuroscience-driven sensing technologies, stochastic signal modeling, blind source separation, bioinstrumentation, and intelligent systems for early disease diagnosis.

Citation Metrics (Google Scholar)

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Mr. Tae Joong Ha | Membrane | Research Excellence Award

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Mr. Tae Joong Ha | Membrane | Research Excellence Award

Mr. Tae Joong Ha | Membrane | TDNJ Inc | South Korea

Mr. Tae Joong Ha is a distinguished semiconductor technology leader and applied research professional with deep expertise in photolithography processes, photomask process technology, blank mask engineering, and EUV pellicle membrane development. His educational background in metallurgical engineering provided a strong scientific foundation in materials science, thin-film processes, and advanced manufacturing, which he has successfully translated into industrial innovation. Professionally, Mr. Tae Joong Ha has accumulated extensive experience across wafer photolithography, photomask front-end processing, process integration, and large-scale semiconductor manufacturing, progressing from core process engineering roles to senior technical leadership. He currently serves as the Chief Executive Officer and Founder of TD&J Co., Ltd., where he leads strategic research, company operations, and the development of next-generation EUV pellicle membrane technologies with strong relevance to advanced semiconductor nodes. His scholarly output, while industry-focused, includes Scopus-indexed publications with verified metrics comprising 2 documents, 1 citation, and an h-index of 1, with key work disseminated through IEEE- and Scopus-indexed conference venues, including contributions to EUV pellicle membrane design.

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Mr. Duo Wang | Applied Sensor | Research Excellence Award

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Mr. Duo Wang | Applied Sensor | Research Excellence Award 

Mr. Duo Wang | Applied Sensor | Beijing University of Aeronautics and Astronautics | China

Mr. Duo Wang is a dedicated Ph.D. Candidate at the School of Energy and Power Engineering, Beijing University of Aeronautics and Astronautics, Beijing, China, recognized for his significant contributions to the field of aero-engine combustor design and computational combustion. He received his advanced education in energy and power engineering, developing a solid foundation in fluid dynamics, combustion mechanisms, and aero-engine systems. Professionally, Mr. Duo Wang has been actively involved in multiple high-impact national projects focusing on zoned combustion organization under high fuel-air ratio conditions, low-emissions staged and zoned combustion mechanisms for natural gas gas turbines, and dynamic flow and combustion characterization in main combustors, demonstrating both technical leadership and collaborative project management skills. His research interests include sensitive parameter analysis, computational combustion modeling, low-emission combustor design, and performance optimization of aero-engines. Mr. Duo Wang has produced 7 Scopus-indexed publications with 31 citations from 28 citing documents and an h-index of 4, demonstrating a growing academic impact in high-quality journals such as Physics of Fluids.

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Mrs. Nannan Zhang | Object Detection | Research Excellence Award

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Mrs. Nannan Zhang | Object Detection | Research Excellence Award 

Mrs. Nannan Zhang | Object Detection | Research Institute of Petroleum Exploration & Development | China

Mrs. Nannan Zhang Senior Engineer is a highly respected specialist in petroleum remote sensing and geospatial environmental monitoring, recognized for her sustained contributions to the application of advanced sensing technologies in oil and gas exploration and ecological protection. She received her formal academic training in Cartography and Geographic Information Systems from Hohai University, Nanjing, China, which laid a strong foundation for her technical expertise in spatial analysis, satellite data interpretation, and environmental modeling. Professionally, Mrs.  Nannan Zhang Senior Engineer is affiliated with the Research Institute of Petroleum Exploration and Development, PetroChina, Beijing, China, where she has established herself as a leading researcher and project leader in petroleum-related remote sensing. Nannan Zhang Senior Engineer has produced a strong body of scholarly work indexed in Scopus, comprising 12 peer-reviewed publications with significant academic influence reflected by more than 300 citations and an h-index of 5, alongside five authorized patents and one academic monograph.

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Prof. Dr. Cornelia Aurora Gyorod | Machine Learning | Research Excellence Award

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Prof. Dr. Cornelia Aurora Gyorod | Machine Learning | Research Excellence Award 

Prof. Dr. Cornelia Aurora Gyorod | Machine Learning | University of Oradea | Romania

Prof. Dr. Cornelia Aurora Gyorod is a senior academic and internationally recognized researcher in Computer Science and Information Technology, specializing in database systems, data mining, expert systems, and large-scale data-driven computing architectures that underpin modern intelligent and sensing-based systems. She holds a Ph.D. in Computer Science from the University of Oradea and currently serves as a Professor in the Faculty of Electrical Engineering and Information Technology, Department of Computers and Information Technology, where she has demonstrated long-standing excellence in teaching, research, and academic leadership. Her educational background is complemented by advanced professional certifications in project management, project evaluation, and enterprise database technologies, reflecting her strong methodological and organizational competence. Her professional experience spans progressive academic roles including junior assistant, assistant professor, lecturer, associate professor, and full professor, during which she has been responsible for delivering core and advanced courses such as Databases, Expert Systems, Computer Programming, Advanced Database Systems, and Data Warehousing, alongside supervising undergraduate, master’s, and doctoral research. Her strengths for this award include a strong international research profile, with 70+ peer-reviewed publications, primarily indexed in Scopus and IEEE-affiliated venues, accumulating 800+ citations and an established Scopus Author ID and ORCID record.

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Featured Publications