معرفی
Moataz Kilany is a Researcher, GIS Developer, and Data Scientist at the Connecticut Transportation Safety Research Center (CTSRC) at the University of Connecticut. He holds a Master's degree in Computer Science from Minia University, Egypt (2018) and a Ph.D. in Geography from the University of Connecticut (2023). His work focuses on remote sensing for urban land cover analysis, machine learning optimization, and the application of advanced algorithms for transportation infrastructure mapping. Since 2019, he has developed GIS applications for the Connecticut Department of Transportation (CTDOT), contributing to integrated roadway asset management systems.
**Research Interests:**
His research emphasizes optimizing machine learning classifiers using swarm algorithms such as the Elephant Herding Optimization and Lion Optimization Algorithm. Applications span remote sensing (urban land cover classification), healthcare (ECG classification, cardiac arrhythmia detection), and human behavior modeling. His work bridges geospatial data analysis with machine learning for practical solutions in transportation planning and environmental monitoring.
**Publications:**
His articles reflect a focus on algorithm optimization for classification tasks across domains like environmental science, healthcare, and human behavior. Key themes include hybrid optimization methods (e.g., water wave optimization paired with SVM), and applications in biomedical signal processing (e.g., ECG, EMG analysis).
**Grants & Advising:**
No formal grant information or advisees are mentioned in the provided text.
**Affiliations:**
Part of the CTSRC team at UConn, contributing to interdisciplinary projects at the intersection of geospatial technologies and transportation safety research.
