Dr. Jelena Sencanski | Physical Chemistry | Editorial Board Member Published on 18/04/202618/04/2026 by Technology Scientists After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2302 Register Here
Dr. Shiyao Wang | Signal Processing | Excellence in Research Award Published on 13/04/2026 by Technology Scientists After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2303 Register Here
Mr. Bilash Thakur | Nonlinear Dynamics | Research Excellence Award Published on 13/04/202613/04/2026 by Technology Scientists After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2292 Register Here
Prof. Wei Huang | Artificial Intelligence | Research Excellence Award Published on 13/04/202613/04/2026 by Technology Scientists After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2301 Register Here
Dr. Yufeng Li | Model Checking | Research Excellence Award Published on 10/04/202610/04/2026 by Technology Scientists After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2304 Register Here
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Dr. Leyuan Wu | Artificial Intelligence | Research Excellence Award Published on 09/04/202611/04/2026 by Technology Scientists Dr. Leyuan Wu | Artificial Intelligence | Research Excellence Award Changsha University of Science and Technology | China Dr. Leyuan Wu is an emerging researcher specializing in nonlinear systems, control theory, and neural network dynamics, with particular emphasis on memristive neural networks and event-triggered control strategies. With 11 publications, 79 citations and 5 h-index , his scholarly contributions reflect a growing impact in the domain of advanced mathematical modeling and intelligent control systems. His research focuses on synchronization and stability analysis of complex dynamical networks, offering innovative solutions applicable to smart systems, automation, and computational intelligence. He has collaborated with 15 co-authors, demonstrating active participation in interdisciplinary and collaborative research environments. His recent publication in Communications in Nonlinear Science and Numerical Simulation underscores his expertise in finite-time control under communication constraints. Overall, his work contributes to the advancement of adaptive and efficient control methodologies, with promising implications for real-world engineering applications and emerging intelligent technologies. Citation Metrics (Scopus) 79 45 25 5 0 Citations 79 Documents 11 h-index 5 Citations Documents h-index View Scopus Profile View ResearchGate Profile Top 5 Featured Publications Effective quality metric for contrast-distorted images based on SVD – Leyuan Wu, 2019 Unsupervised Quaternion Model for Blind Colour Image Quality Assessment – Leyuan Wu, 2020 VP-NIQE: An opinion-unaware visual perception natural image quality evaluator – Leyuan Wu, M.Z., 2021 Coarse and Fine Structure Combined Model For Full Reference Image Quality Assessment – Leyuan Wu, 2022 Robust Flame Video-based Sintering Condition Recognition Method Based on Fractal Theory – Yu Jiang, 2022
Prof. Dr. Mukhtar Tultabayev | Rheology | Best Researcher Award Published on 08/04/202608/04/2026 by Technology Scientists Prof. Dr. Mukhtar Tultabayev | Rheology | Best Researcher Award K.Kulazhanov Kazakh University of Technology and Business | Kazakhstan Prof. Dr. Mukhtar Tultabayev is a researcher in the domain of food science and processing engineering, with a specialized focus on the extraction, characterization, and functional application of plant-based oils and bioactive compounds. Affiliated with the Kazakh Research Institute of Processing and Food Industry, his work emphasizes enhancing the nutritional and physicochemical properties of food products for dietary and functional applications. He has authored 17 peer-reviewed publications, receiving 66 citations, and maintains an h-index of 6, reflecting consistent scholarly impact within his field. His research demonstrates interdisciplinary collaboration, engaging with co-authors across food chemistry, agricultural processing, and applied nutrition domains. A notable contribution includes studies on safflower seed oil extraction using various solvents, addressing efficiency and quality optimization. His work contributes to advancing sustainable food processing techniques and supports the development of health-oriented food products, thereby holding significant relevance for both industry and public health sectors globally. Citation Metrics (Scopus) 66 40 20 10 0 Citations 66 Documents 17 h-index 6 Citations Documents h-index View Scopus Profile View ORCID Profile View ResearchGate Profile Top 5 Featured Publications Comparative Evaluation of Drying Methods for Vegetable Waste Aimed at Producing Natural Functional Food Ingredients – Tamara Tultabayeva, 2026 Optimization of Ultrasonic Extraction Parameters for Polyphenolic-Rich Extract from Peanut Shells and Its Application in Functional Yogurt – Tamara Tultabayeva, 2026 Analysis of the effect of hydrothermal processing on the technological properties of “Vakhshskaya-116” rye grown in a dry climate – Zaynobiddinov, M.Z., 2025 Analysis of the Properties of Bread from Local Rye and Wheat for Sustainable Production of Bread – Zaynobiddinov, M.Z., 2025 Development of a classification scheme for main food processing processes – Kurbanova, M., 2025
Dr. Jelena Sencanski | Physical Chemistry | Research Excellence Award Published on 06/04/202606/04/2026 by Technology Scientists Dr. Jelena Sencanski | Physical Chemistry | Research Excellence Award Institute for Multidisciplinary Research | Serbia Dr. Jelena V. Senćanski, affiliated with the Institute of General and Physical Chemistry, is an emerging researcher in the interdisciplinary domain of environmental chemistry and food safety, with a focus on trace element pollution, radioactivity assessment, and ecological risk analysis in marine systems. Her work demonstrates particular expertise in evaluating contaminant bioaccumulation in aquatic organisms and its implications for human health and environmental sustainability. With 10 scholarly publications, 2 h-index and over 102 citations, she has contributed to advancing analytical methodologies and environmental monitoring frameworks. Senćanski has collaborated with a diverse network of 30+ co-authors, reflecting strong engagement in international and cross-disciplinary research initiatives. Her studies, including recent work on Adriatic marine species, highlight the intersection of environmental science and public health, supporting evidence-based policy and sustainable resource management. Her research holds significant societal relevance by addressing pollution impacts on food systems and ecosystem integrity. Citation Metrics (Scopus) 102 50 10 5 0 Citations 102 Documents 10 h-index 2 Citations Documents h-index View Scopus Profile View ORCID Profile View ResearchGate Profile Top 5 Featured Publications Synthesis, characterization and electrochemical properties of cobalt-doped phosphate tungsten heteropoly acid and its bronze – Jovana Ackovic, 2025 AN ALTERNATIVE WAY OF PRESENTING THE TEMPERATURE DEPENDENCE IN THE BRIGGS-RAUSCHER OSCILLATORY REACTION – Jelena Sencanski, 2024 AN EXAMINATION OF Cr DOPPED ZnMn2O4 IN NA AQUEOUS SOLUTION OF ZnCl2 – Jelena Sencanski, 2024 Thermophoresis or When Small Objects Meet Temperature Gradient: Numerous Applications – Jelena Sencanski, 2023 A Comparison of the Capacities of ZnMn2O4 and ZnCr0.15Mn1.85O4 in Aqueous Media – Jelena Sencanski, 2022
Dr. Xianxiang Wang | Geophysics | Research Excellence Award Published on 06/04/202606/04/2026 by Technology Scientists Dr. Xianxiang Wang | Geophysics | Research Excellence Award East China University of Technology | China Dr. Xianxiang Wang, affiliated with East China University of Technology, specializes in geophysics with a focus on computational modeling and artificial intelligence-driven inversion techniques, particularly in magnetotelluric analysis. His research integrates physics-informed machine learning methods, such as generative adversarial networks, to enhance subsurface imaging and interpretation. He has published 18 peer-reviewed documents, receiving over 110 citations, with an h-index of 6, reflecting steady academic influence. Actively engaged in collaborative research, he has worked with more than 30 co-authors, indicating strong interdisciplinary and international connections. His key contributions lie in advancing data-driven geophysical exploration methods that improve accuracy and efficiency in earth system analysis. The broader societal impact of his work is evident in its applications to natural resource exploration, environmental monitoring, and sustainable geoscience practices, supporting informed decision-making and contributing to global energy and environmental sustainability. Citation Metrics (Scopus) 110 50 10 5 0 Citations 110 Documents 18 h-index 6 Citations Documents h-index View Scopus Profile View ORCID Profile Top 5 Featured Publications Efficient 3D Inversion of the Marine Electrical-Source Time Domain Electromagnetic Method Based on the Footprint Technique – Xianxiang Wang, 2026 Evaluation of the Capabilities of Grounded-Wire Source Surface-Borehole Transient Electromagnetic Detection in Complex Geological Settings – Xianxiang Wang, 2025 Insights on the magma reservoirs beneath the Xiangshan volcanic basin: Revealed by integrated magnetotelluric and petrological data – Hui Chen, 2025 3D spatial distribution of old landfills and groundwater pollution from electrical resistivity tomography with fuzzy set theory – Xianxiang Wang, 2022 3-D parallel inversion of multichannel transient electromagnetic data using a moving footprint – Xianxiang Wang, 2021
