Shalaw Sedeeq | Soil Physics | Research Excellence Award

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Mr. Shalaw Sedeeq | Soil Physics | Research Excellence Award

Koya University | Iraq

Shalaw Zrar Sedeeq has made notable research contributions in the field of nuclear radiation and natural radioactivity measurement with applications to soil and environmental systems. His work advances the understanding of radioactive behavior in soils, environmental exposure assessment, and radiation safety, supporting improved environmental monitoring and public health protection. Through the use of advanced radiation detection instruments and analytical methodologies, his research emphasizes precision, data reliability, and scientific rigor in radioactivity measurements. His scholarly output consists of 6 peer-reviewed research documents, which have accumulated 21 citations from 19 citing documents, demonstrating growing recognition within the research community. An h-index of 3 reflects both research productivity and emerging scientific impact. In addition, he has been involved in 13 completed and ongoing research projects, highlighting sustained engagement and interdisciplinary research activity. His collaborative efforts with multiple research partners have strengthened methodological approaches and expanded the applicability of findings to soil, environmental, and radiation science domains. Overall, the research contributions of Shalaw Zrar Sedeeq support advancements in environmental radiation assessment, contribute to sustainable soil management, and align strongly with the objectives of research excellence in soil and environmental sciences.

Citation Metrics (Scopus)

30
20
10
5
0

Citations
21

Documents
6

h-index
3

Citations

Documents

h-index


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On Transfer Factors of Natural Radionuclides and Radiological Health Risks Assessment of Some Fruit Samples
– 2024 | Journal Article

Assessment of Radiological Hazards Due to Ingestion of Natural Radionuclides in Cooking Oil Samples
– 2023 | Journal Article

Design and Study of a Nanocavity-Based One-Dimensional Photonic Crystal for Potential Applications in Refractive Index Sensing
– 2023 | Journal Article

Estimation of Minor and Trace Elements Concentration and Investigation of Chemical Composition of Kidney Stones in Kurdistan Region
– 2023 | Journal Article

Toxic Metals in Some Decorative Cosmetics and Nail Products
– 2022 | Journal Article

Hongtao Shi | Soil Physics | Best Researcher Award

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Dr. Hongtao Shi | Soil Physics | Best Researcher Award

China University of Mining and Technology | China 

Hongtao Shi is a productive researcher in photogrammetry, remote sensing, and SAR-based soil moisture retrieval, with a strong record of contributions to agricultural monitoring and polarimetric decomposition techniques. His work spans high-resolution soil moisture estimation, multi-frequency and multi-incidence radar analysis, and time-series applications integrating passive and active remote sensing products. He has authored 31 peer-reviewed documents, which have collectively received 353 citations, as recorded across 333 citing documents. His current h-index is 10, reflecting both the influence and consistency of his research output within the scientific community. He has published in high-impact journals such as Remote Sensing of Environment, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal of Hydrology, and Agricultural Water Management, addressing challenges in crop monitoring, radar scattering models, and novel polarimetric decomposition approaches. In addition to journal articles, he has delivered presentations at prestigious international conferences, including IGARSS and PolInSAR, where his work on SAR observation techniques and integration with microwave products has drawn recognition. His research has advanced methods for retrieving field-scale soil moisture and improving agricultural parameter estimation by leveraging L-band, quad-pol, and time-series SAR data, reinforcing his reputation as a specialist in SAR-based environmental remote sensing.

Profile:  Orcid 

Featured Publications

1. Zhao, J., Zhang, M., Zhou, Z., Wang, Z., Lang, F., Shi, H., & Zheng, N. (2025). CFFormer: A cross-fusion transformer framework for the semantic segmentation of multisource remote sensing images. IEEE Transactions on Geoscience and Remote Sensing.

2. Wang, Z., Zhao, L., Jiang, N., Sun, W., Yang, J., Shi, H., & Li, P. (2025). DMCF-Net: Dilated multiscale context fusion network for SAR flood detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

3. Shi, H., Wu, Q., Lu, Z., Zhao, J., Liu, W., Zhao, T., Zhu, L., Lang, F., & Zhao, L. (2025, November). Meter-level resolution surface soil moisture estimation over agricultural fields from time-series quad-pol SAR with constraints of coarse resolution CCI data products. Agricultural Water Management.

4. Qian, J., Yang, J., Sun, W., Zhao, L., Shi, L., Shi, H., Dang, C., & Dou, Q. (2025, July 14). Multi-layer and profile soil moisture estimation and uncertainty evaluation based on multi-frequency (Ka-, X-, C-, S-, and L-band) and quad-polarization airborne SAR data from synchronous observation experiment in Liao River Basin, China. Water.