Yue Zhang | Remote Sensing Technology | Research Excellence Award

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Dr. Yue Zhang | Remote Sensing Technology | Research Excellence Award

Postdoctoral Fellow at Regional Centre for Space Science and Technology Education in Asia and the Pacific(China) | China

Dr. Yue Zhang is a rapidly emerging researcher whose work spans machine learning, remote sensing, hydrological forecasting, and environmental monitoring systems, producing a research portfolio with 168 citations, an h-index of 7, and 6 i10-index publications that reflect consistent and meaningful scientific impact. His research focuses on developing advanced hybrid deep-learning architectures-including LSTM, GRU, ConvLSTM, CNN-LSTM, STA-GRU, and physics-informed transformer networks-to improve the reliability and interpretability of streamflow, flood, water-level, and dissolved-oxygen forecasting, using multistation real-time datasets and temporal–spatial data linkages for enhanced predictive accuracy. He has significantly contributed to remote sensing applications by integrating GNSS-R signals, spatiotemporal attention models, and soft physical constraints to advance marine foreign-object monitoring, wind-speed retrieval, and seawater-intrusion early-warning systems. His work further includes innovations in GIS-enabled environmental intelligence platforms, real-time disturbance-response modelling, and image-level early-warning mechanisms for complex marine scenarios. His publication record spans reputable journals such as Water, Intelligence and Robotics, and Remote Sensing, covering topics including intelligent flood forecasting, lake water-quality management, deep-learning approaches for environmental and agricultural monitoring, and hybrid modelling methods for large-scale hydrological systems. Through interdisciplinary collaboration, contributions to international research initiatives, and development of system-integrated monitoring frameworks, Yue Zhang continuously advances the state of the art in environmental data science, demonstrating clear leadership potential and strong alignment with the goals of high-impact research recognition.

Profile : Google Scholar

Featured Publications

Deng, Y., Zhang, Y., Pan, D., Yang, S. X., & Gharabaghi, B. (2024). Review of recent advances in remote sensing and machine learning methods for lake water quality management. Remote Sensing, 16(22), 4196. Cited by: 53

Zhang, Y., Zhou, Z., Van Griensven Thé, J., Yang, S. X., & Gharabaghi, B. (2023). Flood forecasting using hybrid LSTM and GRU models with lag time preprocessing. Water, 15(22), 3982. Cited by: 36

Zhang, Y., Gu, Z., Van Griensven Thé, J., Yang, S. X., & Gharabaghi, B. (2022). The discharge forecasting of multiple monitoring stations for Humber River by hybrid LSTM models. Water, 14(11), 1794. Cited by: 36

Zhou, Z., Zhang, Y., Gu, Z., & Yang, S. X. (2023). Deep learning approaches for object recognition in plant diseases: A review. Intelligence and Robotics, 3(4), 514–537. Cited by: 12

Zhang, Y., Pan, D., Van Griensven Thé, J., Yang, S. X., & Gharabaghi, B. (2023). Intelligent flood forecasting and warning: A survey. Intelligence and Robotics, 3(2), 190–212. Cited by: 12

 

Nashwan Ali | Electrochemical Sensor | Editorial Board Member

Published on by MTE Awards

Assist. Prof. Dr. Nashwan Ali | Electrochemical Sensor | Editorial Board Member

Research Scientist at University of Samarra | France

Assist. Prof. Dr. Nashwan Ali is a highly capable and multidisciplinary researcher whose strong expertise in electrochemistry, analytical chemistry, and advanced material characterization positions him as an excellent candidate for an Editorial Board Member role. His research spans electrochemical activity mapping, electrocatalysis, electroanalysis, green analytical methodologies, and spectrophotometric innovations, with applications across pharmaceuticals, environmental monitoring, petroleum chemistry, nanomaterials, and water quality assessment. His publication portfolio demonstrates consistent scientific productivity, contributing 13 indexed documents with 40 citations and an h-index of 4 in Scopus, reflecting steady scholarly influence and research visibility. Dr. Ali has co-authored impactful studies on ion-selective electrodes, oxidative coupling reactions, metal ion detection, nanoparticle-assisted sensing, composite materials, and electrochemical screening of Pt–CeO₂ gradient films, published across reputable journals including Sensors, Macromolecular Symposia, AIP Conference Proceedings, and International Journal of Advanced Chemical Research. His collaborative international work, particularly on electrocatalytic films and high-performance electrochemical sensors, showcases his ability to integrate analytical science with materials engineering-an essential quality for editorial decision-making in multidisciplinary domains. His experience supervising electrochemical mapping and developing green, cost-efficient determination techniques highlights his commitment to sustainable scientific approaches. Dr. Ali’s broad methodological command-ranging from cyclic voltammetry and SECM to HPLC, GC-FID, UV-Vis spectroscopy, and nanoparticle-based assays-equips him with the critical evaluation skills required to assess complex manuscripts. His research breadth, publication quality, and demonstrated peer-reviewed contributions make him highly suitable for an Editorial Board position, where analytical expertise, scientific judgment, and cross-disciplinary insight are essential.

Profiles : Scopus | ORCID

Featured Publications

Guesmi, S., Ali, N. H., Missaoui, N., Aloui, Z., Mabrouk, C., Martinez, C. C., Echouchene, F., Barhoumi, H., Jaffrezic-Renault, N., & Kahri, H. (2025). High-performance ZIF-7@PANI electrochemical sensor for simultaneous trace cadmium and lead detection in water samples: A Box–Behnken design optimization approach. Sensors.

Dawood, N. H., & Ali, N. H. (2022). Spectrophotometric determination of captopril in pharmaceutical formulations based on ion-pair reaction with the Red Congo. Journal of Pharmaceutical Negative Results.

Dawood, N. H., & Ali, N. H. (2022). Synthesis and characterization of some new indazolone and carbohydrazide derivatives from azachalcones. Journal of Pharmaceutical Negative Results.

Ali, N. H., Khalaf, A. A., Imran, N. A., Abdul Sattar, O. D., Ismail, M. K., & Ibrahim, A. T. (2020). Determination of loperamide HCl in pharmaceutical preparations using modified ion selective electrode. Systematic Reviews in Pharmacy.

Asker, M. M., Hassan, O. S., & Ali, N. H. (2020). Determination of metoclopramide in pharmaceutical commercial using flow injection chemiluminescence technique. Systematic Reviews in Pharmacy.