About

Dr. Ammar Saleem is working as Defence Faculty in the College of Aeronautical Engineering . Dr. Ammar Saleem has a PhD in their field . Dr. Ammar Saleem has published 3 research articles & conference papers having a citation count of 14 , carried out 0 projects and filed 0 intellectual property.

Research Tags

bayesian learning Computational imaging Deep priors Image reconstruction Inverse problems Perceptual objective functions Radar imaging Synthetic aperture radar Artificial intelligence

Research Projects

0

Industry Projects

0

Amount Granted

0.0 M

Publications

3

Citations

14

Intellectual Property

0
Publication Types
Project Types
Publications by Year
Projects by Year

Education

Experience

Defence Faculty 2025- Present
College of Aeronautical Engineering , NUST
Defence Faculty 2022- 2025
College of Aeronautical Engineering , NUST
Defence Faculty 2017- 2022
College of Aeronautical Engineering , NUST
Defence Faculty 2013- 2017
College of Aeronautical Engineering , NUST

Awards

Memberships

No project records found for this faculty member
3
Research Articles
0
Conference Proceedings
0
Books
0
Book Chapters
0
Editorial Activities
Joint Resource Allocation for Terahertz Band Drone Communications 2024
AK
Akhtar Saeed (Sabanci University)
MI
Mikail Erdem (Sabanci University)
OZ
Ozgur Gurbuz (Sabanci University)
MU
Mustafa Alper Akkas (Bolu Abant İzzet Baysal University)
Journal: IEEE Transactions on Vehicular Technology, Volume:73, Issue:6, Pages 8281-8294
Impact Factor: 6.100 Citations: 7 Quartile: 1
SDG 9
SAR Image Despeckle with CNN Using a Novel Logarithmic Discrete Cosine Transform-Based Loss 2024
MU
Muhammad Burak Alver (Maltepe University Istanbul)
MU
Mujdat Cetin (University of Rochester)
Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume:17, Pages 15525-15542
Impact Factor: 4.700 Citations: 2 Quartile: 1
SDG 9
From Pixel to Peril: Investigating Adversarial Attacks on Aerial Imagery through Comprehensive Review and Prospective Trajectories 2023
Journal: IEEE Access, Volume 11, Pages 81256-81278
Impact Factor: 3.9 Citations: 5 Quartile: 2
SDG 9
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0
Total Supervisions
0
PhD Supervisions
0
MS Supervisions
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