Richard Lojka | Sedimentary Geology | Excellence in Research Award

Published on by Academic Awards

Mr. Richard Lojka | Sedimentary Geology | Excellence in Research Award

Czech Geological Survey | Czech Republic

Mr. Richard Lojka is a geoscientist specializing in sedimentology and basin analysis, with core expertise in lacustrine and fluvial systems and advanced paleopedological reconstruction. His research explores depositional environments, sequence stratigraphy, climatic cyclicity, and environmental dynamics within Carboniferous basins, particularly across the Pennsylvanian and Mississippian intervals. He has made notable contributions to the interpretation of coal-bearing paralic and fluvial cyclothems, paleosol development, and seasonal climatic signatures preserved in siliciclastic and lacustrine successions. His publications in high-impact venues including the International Journal of Coal Geology, Bulletin of Geosciences, and Palaeogeography, Palaeoclimatology, Palaeoecology showcase his work on stratigraphic architecture, peat formation processes, and climate-driven sedimentary patterns across Central European and Eurasian basins. Supported by 210 citations, 13 scholarly documents, and an h-index of 9, he continues to offer influential insights into ancient terrestrial systems and their climatic controls.

Profile: Scopus | Orcid

Featured Publications

Lojka, R., Rosenau, N. A., Sidorinová, T., & Strnad, L. (2016). Architecture, paleosols and cyclicity of the Middle–Late Pennsylvanian proximal fluvial system (Nýřany Member, Pilsen Basin, Czech Republic). Bulletin of Geosciences, 91(1), 111–140.

Opluštil, S., Lojka, R., Rosenau, N. A., Strnad, L., & Sýkorová, I. (2015). Middle Moscovian climate of eastern equatorial Pangea recorded in paleosols and fluvial architecture. Palaeogeography, Palaeoclimatology, Palaeoecology, 440, 328–352.

Šliaupa, S., Lojka, R., Tasáryova, Z., Kolejka, V., Hladík, V., Kotulová, J., Kucharič, L., Fejdi, V., Wójcicki, A., & Tarkowski, R. (2013). CO₂ storage potential of sedimentary basins of Slovakia, the Czech Republic, Poland, and the Baltic States. Geological Quarterly, 57(4), 717–730.

Hatzignatiou, D. G., Riis, F., Berenblyum, R., Hladik, V., Lojka, R., & Francu, J. (2011). Screening and evaluation of a saline aquifer for CO₂ storage: Central Bohemian Basin, Czech Republic. International Journal of Greenhouse Gas Control, 5(6), 968–979.

Lojka, R., Sýkorová, I., Laurin, J., Matysová, P., & Grygar, T. M. (2010). Lacustrine couplet-lamination: Evidence for Late Pennsylvanian seasonality in central equatorial Pangaea (Stephanian B, Mšec Member, Central and Western Bohemian basins). Bulletin of Geosciences, 85(4), 709–734.

Zhikang Zhao | Computers in Earth Sciences | Best Researcher Award

Published on by Academic Awards

Dr. Zhikang Zhao | Computers in Earth Sciences | Best Researcher Award

Dr. Zhikang Zhao, Changchun Institute of Optics,Fine Mechanicsand Physics,Chinese Academy of Sciences, China

Dr. Zhikang Zhao 🧑‍🔬🔍, a PhD candidate at the Chinese Academy of Sciences 🏫, specializes in advanced remote sensing image processing 🌍📸. He excels in super-resolution reconstruction algorithms, transforming low-quality images into high-resolution ones using cutting-edge deep learning techniques 🤖📈. With one published and two ongoing research projects, including an innovative degradation model and unsupervised super-resolution network, Dr. Zhao’s work significantly enhances remote sensing data accuracy 🔬🛰️. His contributions to the field are evident in his published journal articles and ongoing patent process 📚⚙️.

Publication profile

Orcid

Academic Qualification

Dr. Zhikang Zhao is a PhD candidate at the Chinese Academy of Sciences 🏫, specializing in advanced research on remote sensing image processing 🌍📸. His expertise lies in developing super-resolution reconstruction algorithms for remote sensing images, harnessing the power of deep learning 🤖📈. Dr. Zhao’s research focuses on creating innovative algorithms that enhance the resolution and quality of low-resolution images, transforming them into high-resolution, high-quality images 🔍✨. This advancement improves the accuracy and utility of remote sensing data across various applications, significantly contributing to the field of remote sensing technology and supporting diverse scientific endeavors 🚀🔬.

 

Research Focus

Dr. Zhikang Zhao focuses on cutting-edge research in remote sensing and hyperspectral imaging 🌍📸. His primary work involves using deep learning techniques to enhance the resolution and quality of remote sensing images 📈🔬. This includes significant contributions to ship detection in optical remote-sensing images, addressing challenges and advancing the field of maritime surveillance 🚢🌊. Additionally, he explores hyperspectral image super-resolution, developing innovative algorithms that improve data accuracy for various applications 🌈🛰️. Dr. Zhao’s research not only advances remote sensing technologies but also supports critical applications in environmental monitoring, resource management, and national security 🌿🏞️.

 

Publication Top Notes

Ship Detection with Deep Learning in Optical Remote-Sensing Images: A Survey of Challenges and Advances