Data Science and Machine Learning Optimization.
Master's degree in Computer Science with 4+ years of teaching, Research and development, Cairo, Egypt.
Current Ph.D program in GIS, UConn, USA.
High experience in global optimization algorithms and machine learning (SVM/RF) [C#.Net, C++, Matlab, Python]
Very Good experience in spatial information systems, GIS app development using Esri products (ArcGIS: ArcMap, Survey123, Web maps, Web App Builder, Operations Dashboards).
Developed app components using FME for Desktop.
Seeking to collaborate in enterprise projects that enhance my research and development skills.
GIS App Development / Esri products to build enterprise transportation asset data collection and management system (Part-Time).
Computers and Information Dept.
Data Analysis and Machine Learning
Data Science and Machine Learning Optimization.
High accuracy classification of urban land cover.
Employing remotely sensed data and remote sensing techniques to monitor light intensity changes during COVID-19 Pandemic spread
1- Moataz Kilany, Chuanrong Zhang, Weidong Le. “Optimization of urbanland cover classification using an improved elephantherding optimizationalgorithm and random forest classifier.” International Journal of Remote Sensing, Volume 42, 2021.
2- Moataz Kilany, Chuanrong Zhang, Weidong Le. “Optimization of urbanland cover classification using an improved elephantherding optimizationalgorithm and random forest classifier.” International Journal of Remote Sensing, Volume 42, 2021.
3- Aboul Ella Hassanien, Moataz Kilany, Essam H. Houssein, Hameed AlQaheri, Intelligent human emotion recognition based on elephant herding optimization tuned support vector regression, Biomedical Signal Processing and Control, Volume 45, August 2018, Pages 182-191, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2018.05.039.
4- M. Kilany and A. E. Hassanien, "A hybrid elephant herding optimization and support vector machines for human behavior identification," 2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS), Cairo, 2017, pp. 178-184. doi: 10.1109/INTELCIS.2017.8260033
5- Moataz Kilany, Mohamed Mostafa Fouad, Ahmed Monem Hemdan, and Aboul Ella Hassanien. Fish Growth Performance Classification Based on Ammonia Concentrations, pages 330– 339. Springer International Publishing, Cham, 2016. ISBN 978-3-319-60834-1. doi: 10.1007/978-3-319-60834-1 33.
6- M. Kilany, E. H. Houssein, A. E. Hassanien and A. Badr, "Hybrid water wave optimization and support vector machine to improve EMG signal classification for neurogenic disorders," 2017 12th International Conference on Computer Engineering and Systems (ICCES), Cairo, 2017, pp. 686-691. doi: 10.1109/ICCES.2017.8275392
7- Essam H. Houssein, Moataz Kilany, and Aboul. ECG signals classification: a review. International Journal of Intelligent Engineering Informatics, 2017. doi: 10.1504/IJIEI.2017.10008807.
8- Moataz Kilany, Aboul Ella Hassanien, Amr Badr, Pei-Wei Tsai, and JengShyang Pan. A Behavioral Action Sequences Process Design, pages 502–512. Springer International Publishing, Cham, 2016. ISBN 978-3-319-48308-5. doi: 10.1007/978-3-319-48308-5 48.
9- Essam H. Houssein, Moataz Kilany, Aboul Ella Hassanien, and Va- clav Snasel. A Two-Stage Feature Extraction Approach for ECG Signals, pages 299–310. Springer International Publishing, Cham, 2016. ISBN 978-3-319-60834-1. doi: 10.1007/978-3-319-60834-1 30.
10- M. Kilany, A. E. Hassanien, and A. Badr. Accelerometer-based human activity classification using water wave optimization approach. In 2015 11th International Computer Engineering Conference (ICENCO), pages 175–180, Dec 2015. doi: 10.1109/ICENCO.2015.7416344.
M. Kilany, A. Adl, A. E. Hassanien, and T. H. Kim. Towards a computational human behavioral model. In 2015 3rd International Conference on Computer, Information and Application, pages 42–45, May 2015. doi: 10.1109/CIA.2015.18.