Bo Zhang | Computer Science | Research Excellence Award

Assoc. Prof. Dr. Bo Zhang | Computer Science | Research Excellence Award

Northwest Polytechnic University | China

Assoc. Prof. Dr. Bo Zhang is an accomplished researcher whose work spans remote sensing, geospatial intelligence, environmental monitoring, and machine learning–driven Earth observation analytics. With 252 citations,  an h-index of 7, and 5, i10-index publications, his scholarly contributions demonstrate a growing and impactful presence in environmental data science. His research advances high-resolution satellite image processing, atmospheric pollutant estimation, digital elevation model reconstruction, and intelligent geospatial mapping. He has produced notable work on transfer learning–enhanced remote sensing, sparse-sample super-resolution mapping, neural-network–based PMx estimation, land surface temperature retrieval, and ozone concentration modeling. His publications in leading journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Science Bulletin, Remote Sensing, and Indoor and Built Environment highlight his expertise in integrating artificial intelligence with satellite observations to address environmental challenges. His research also contributes to epidemiological spatial analysis and geospatial data fusion, offering multidisciplinary value in Earth system science. Through continuous work on novel algorithms and high-fidelity environmental datasets, he has strengthened the scientific foundation for climate monitoring, pollution assessment, and large-scale geospatial modeling, positioning him as a significant contributor to advanced remote sensing and environmental informatics.

Profile : Scopus | Orcid | Google Scholar

Featured Publications

Yang, C., Zhang, B., Zhang, M., Wang, Q., & Zhu, P. (2025). Research on decision-making strategies for multi-agent UAVs in island missions based on Rainbow Fusion MADDPG algorithm. Drones, 9(10), 673.

Zhang, B., Shi, Z., Hong, D., Wang, Q., Yang, J., Ren, H., & Zhang, M. (2025). Super-resolution reconstruction of the 1 arc-second Australian coastal DEM dataset. Geo-Spatial Information Science, 1–21.


Zhang, B., Xiong, W., Ma, M., Wang, M., Wang, D., Huang, X., Yu, L., Zhang, Q., & others. (2022). Super-resolution reconstruction of a 3 arc-second global DEM dataset. Science Bulletin, 67(24), 2526–2530.


Pan, D., Zhang, M., & Zhang, B. (2021). A generic FCN-based approach for road-network extraction from VHR remote sensing images using OpenStreetMap as benchmarks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.


Zhang, B., Zhang, M., Kang, J., Hong, D., Xu, J., & Zhu, X. (2019). Estimation of PMx concentrations from Landsat 8 OLI images based on a multilayer perceptron neural network. Remote Sensing, 11(6), 646.


Zhu, B., Liu, J., Fu, Y., Zhang, B., & Mao, Y. (2018). Spatio-temporal epidemiology of viral hepatitis in China (2003–2015): Implications for prevention and control policies. International Journal of Environmental Research and Public Health, 15(4), 661.

Alessandra Perez | Medical Physics | Best Researcher Award

Dr. Alessandra Perez | Medical Physics | Best Researcher Award

Laboratori Nazionali di Frascati - INFN | Brazil

Author Profile

Scopus

Orcid

Early Academic Pursuits

Dr. Alessandra Perez began her academic career at the University of Sao Paulo, Ribeirao Preto, where she earned a Bachelor’s degree in Medical Physics in 2012. Her interest in the application of physics to medical technology led her to pursue a Master’s degree from 2012 to 2015, during which she conducted an experimental study on optimizing CR and DR digital mammography systems. Building on her previous studies, Dr. Perez completed her PhD in Physics Applied to Medicine and Biology in 2023, focusing her dissertation on the characterization of digital mammography systems. This comprehensive academic background laid a strong foundation for her future contributions to the field of medical physics.

Professional Endeavors

Dr. Perez’s professional endeavors reflect a combination of rigorous academic research and practical teaching experience. From 2022 to 2024, she served as a virtual learning facilitator at the Virtual University of Sao Paulo, teaching courses such as Basic Mathematics, General Physics, and Calculus I. In addition to her virtual teaching roles, she was involved in the Teaching Improvement Program at the University of Sao Paulo, where she contributed to the disciplines of Radiodiagnostics and Dosimetry. These roles not only demonstrate her expertise in medical physics but also her commitment to educating the next generation of scientists.

Contributions and Research Focus

Dr. Perez has made significant contributions to medical physics, particularly in the optimization and characterization of digital mammography systems. Her research projects have been funded by prestigious organizations such as CAPES (Brazil) and ICTP (Italy). From 2017 to 2023, she conducted a detailed technical characterization of six clinical digital mammography systems, focusing on parameters like spatial resolution, noise power spectrum, and detective quantum efficiency. More recently, her research has expanded to high-resolution X-ray imaging and tomography, where she investigates phase contrast imaging techniques to enhance the sensitivity of X-rays in detecting weakly absorbing objects. This research, conducted at the XLab-Frascati, utilizes advanced equipment like a microfocus source and a CCD detector to push the boundaries of medical imaging technology.

Accolades and Recognition

Dr. Perez’s research has garnered significant recognition in the scientific community. She has published numerous papers in esteemed journals such as Radiation Physics and Chemistry and Radiation Measurements. Her notable publications include studies on the performance evaluation of digital mammography systems, the quantitative assessment of mammography digital detectors, and the characterization of digital systems used in medical X-ray imaging. These publications highlight her expertise and the impact of her research on improving diagnostic imaging technologies.

Impact and Influence

Dr. Perez’s work has had a profound impact on the field of medical physics, particularly in the realm of digital mammography. Her research on optimizing imaging systems has contributed to improved diagnostic accuracy, which is crucial for early detection of diseases like breast cancer. Additionally, her efforts in teaching and mentoring have helped cultivate a new generation of medical physicists who are well-equipped to further advance the field. Her influence extends beyond research, as she actively participates in academic conferences and training programs, sharing her knowledge and insights with a broader audience.

Legacy and Future Contributions

Dr. Perez’s legacy is defined by her dedication to advancing medical imaging technologies and her commitment to education. As she continues her career, her ongoing research on high-resolution X-ray imaging and tomography is expected to yield significant advancements in medical diagnostics. Dr. Perez’s work will undoubtedly continue to influence future research and clinical practices, contributing to the development of more precise and effective diagnostic tools. Her contributions to medical physics, both in research and education, ensure that her impact will be felt for many years to come.

 

Notable Publications

Quantitative assessment of signal and noise properties of mammography digital detectors 2024

Performance evaluation of six digital mammography systems 2024

Characterization of digital systems used in medical X-ray imaging 2022 (1)

Estudo Experimental da Otimização em Sistemas de Mamografia Digital CR e DR 2017 (3)

Experimental evaluation of the image quality and dose in digital mammography: Influence of x-ray spectrum  2015 (7)