1. Marwa Chendeb El Rai, Mina Al-Saad, Nour Aburaed, Saeed Al Mansoori, Hussain Al-Ahmad, and Stephen Marshall “Automatic detection of potential buried archaeological sites in Saruq Al-Hadid, United Arab Emirates“, Proc. SPIE 11535, Remote Sensing Technologies and Applications in Urban Environments V, 115350G (20 September 2020). Read More
  2. Nour Aburaed, Alavikunhu Panthakkan, Mina Al-Saad, Marwa Chendeb El Rai, Saeed Al Mansoori, Hussain Al-Ahmad, and Stephen Marshall “Super-resolution of satellite imagery using a wavelet multiscale-based deep convolutional neural network model“, Proc. SPIE 11533, Image and Signal Processing for Remote Sensing XXVI, 115331J (20 September 2020). Read More 
  3. M. C. El Rai, N. Aburaed, M. Al-Saad, H. Al-Ahmad, S. Al Mansoori and S. Marshall, “Integrating Deep Learning with Active Contour Models in Remote Sensing Image Segmentation” 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Glasgow, Scotland, UK, 2020, pp. 1-4. Read More
  4. N. Aburaed, A. Panthakkan, M. Al-Saad, S. A. Amin and W. Mansoor, “Deep Convolutional Neural Network (DCNN) for Skin Cancer Classification,” 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Glasgow, Scotland, UK, 2020, pp. 1-4. Read More
  5. N. Abuared, A. Panthakkan, M. Al-Saad, S. A. Amin and W. Mansoor, “Skin Cancer Classification Model Based on VGG 19 and Transfer Learning,” 2020 3rd International Conference on Signal Processing and Information Security (ICSPIS), DUBAI, United Arab Emirates, 2020, pp. 1-4. Read More
  6. S. Al Mansoori, R. Al-Ruzouq, D. Al Dogom, M. Al Shamsi, A. Al Maazmi and N. Aburaed, “Photogrammetric Techniques and UAV for Drainage Pattern and Overflow Assessment in Mountainous Terrains – Hatta/UAE”, International Geoscience and Remote Sensing Symposium (IGARSS), 2019 (Accepted). Read More.
  7. D. Al Dogom, S. Al Mansoori, M. Al Shamsi and A. Al Maazmi, “Polarized Aerosol Retrieval Algorithm over Urban Surfaces – Dubai Municipality Satellite”, International Geoscience and Remote Sensing Symposium (IGARSS), 2019 (Accepted). Read More.
  8. A. Kunhu, S. Al Mansoori and H. Al Ahmad, “A Novel Reversible Watermarking Scheme based on SHA3 for Copyright Protection and Integrity of Satellite Imagery”, International Journal of Computer Science and Network Security, Vol. 19, 3, Pg. 92 – 102, March 2019. Read More.
  9. [4] M. Ahmed, A. Panthakkan, H. Mukhtar, W. Mansoor, S. Al Mansoori and H. Al-Ahmad, “Detection of Water-Bodies Using Semantic Segmentation”, 2018 International Conference on Signal Processing and Information Security (ICSPIS), United Arab Emirates, Dubai, Nov. 2018. Read More.
  10. N. Aburaed, A. Panthakkan, H. Mukhtar, W. Mansoor, S. Almansoori and H. Alahmad, “Autonomous Building Detection Using Region Properties and PCA”, 2018 International Conference on Signal Processing and Information Security (ICSPIS), United Arab Emirates, Dubai, Nov. 2018. Read More.
  11. Shibani, A. Panthakkan, S. Al Mansoori and H. Alahamed, “Automatic Vehicle Detection from Aerial Images using Cascaded Support Vector Machine and Gaussian Mixture Model”, 2018 International Conference on Signal Processing and Information Security (ICSPIS), United Arab Emirates, Dubai, Nov. 2018. Read More.
  12. S. Al Mansoori, A. Kunhu and H. Al Ahmad, “Automatic palm trees detection from multispectral UAV data using template matching and circular Hough transform”, SPIE of Remote Sensing, High-Performance Computing in Geoscience and Remote Sensing, Berlin, Germany, 2018. Read More.
  13. S. Al Mansoori, A. Kunhu and H. Al Ahmad, “Design and implementation of highly efficient digital watermarking prototype for securing copyright and authentication of satellite imagery”, SPIE of Remote Sensing, High-Performance Computing in Geoscience and Remote Sensing, Berlin, Germany, 2018. Read More.
  14. Muna Darweesh , S. Al Mansoori and H. Al Ahmad, “Simple Roads Extraction Algorithm Based on Edge Detection Using Satellite Images”, 2019 IEEE 4th International Conference on Image, Vision and Computing, Xiamen, China, 2019. Read More.
  15. Diena Aldogom; Nour Aburaed; Mina Al-Saad; Saeed Al Mansoori; Meera Rashid Al Shamsi; Alya Ahmed Al Maazmi “Multi temporal satellite images for growth detection and urban sprawl analysis; Dubai City, UAE”, SPIE of Remote Sensing, Remote Sensing Technologies and Applications in Urban Environments IV, Strasbourg- France, 2019. Read More.
  16. Diena Al-Dogom ; Nour Aburaed ; Mina Al-Saad ; Saeed Almansoori, “Spatio-temporal Analysis and Machine Learning for Traffic Accidents Prediction”, 2019 2nd International Conference on Signal Processing and Information Security (ICSPIS), IEEE,  Dubai, United Arab Emirates, 2019. Read More.
  17. Saeed Al Mansoori , Alavi Kunhu , Nour Abura’ed , Mina Al-Saad , Meera Al Shamsi and Alya AlMaazmi, “Automatic Ship Detection from High Resolution Satellite images based on a Deep Convolutional Neural”, 70th International Astronautical Congress (IAC), Washington D.C., United States, 2019. Read More.
  18. Photogrammetric Techniques and UAV for Drainage Pattern and Overflow Assessment in Mountainous Terrains– Hatta/UAE -IEEE Geoscience and Remote Sensing Society conference (IGARSS 2019). Read More
  19. Al-Dogom, K. Schuckma and R. Al-Ruzouq , 2018 . Geostatistical Seismic Hazard Assessment and Vulnerability Analysis; Coastal Cities-UAE. Geoinformation Disaster Management, Istanbul 18-22 March 2018. ISPRS Archives. Read More.
  20. Polarized aerosol retrieval algorithm over urban surfaces – Dubai municipality satellite- IEEE geoscience and remote sensing society conference (IGARSS 2019). Read More.
  21. N. Aburaed, A. Kunhu, S. Almansoori, and H. Al-Ahmad, “Super Resolution of DubaiSat-2 Satellite Imagery using Deep Convolutional Neural Network“, in Proc. SPIE 11155, Image and Signal Processing for Remote Sensing XXV, 2019. Read More.
  22. A. AlJanaahi, A. AlMheiri, K. AlSuwaidi, N. Aburaed, Mina Al-Saad, “Initial Calibration And Validation Results of Khalifasat Images” (Poster Session), in International Astronautical Congress (IAC), 2019. Read More.