Rate My Professor Murat Tahtali

Dr. Murat Tahtali serves as a Senior Lecturer in the School of Engineering and Information Technology at UNSW Canberra, University of New South Wales. His research specializations include adaptive optics, computer-aided design, finite elements, vibration analysis, software development, medical imaging, light field computed tomography, and light field single-photon emission computed tomography. He provides PhD supervision with scholarships available for high-achieving students in Computer Science, Electrical Engineering, or Mechanical Engineering. His consulting expertise covers finite elements, image processing, medical imaging, adaptive optics, computer-aided design, software development, and vibration analysis. Current research projects involve biomechanics of damage to the optic nerve, investigating mechanical compression of the optic chiasm using high-resolution histology and multi-scale numerical models in collaboration with medical institutions.

Dr. Tahtali has produced a substantial body of peer-reviewed publications advancing knowledge in imaging restoration, structural health monitoring, turbulence-degraded image processing, and related areas. Key contributions include the highly cited survey 'Visual affordance and function understanding: A survey' (Hassanin, Khan, Tahtali, 2021, ACM Computing Surveys), 'Vibration-based inverse algorithms for detection of delamination in composites' (Zhang, Shankar, Ray, Morozov, Tahtali, 2013, Composite Structures), 'Vibration-based delamination detection in composite beams through frequency changes' (Zhang, Shankar, Morozov, Tahtali, 2016, Journal of Vibration and Control), 'Restoring atmospheric-turbulence-degraded images' (Furhad, Tahtali, Lambert, 2016, Applied Optics), and 'Geometric correction of atmospheric turbulence-degraded video containing moving objects' (Halder, Tahtali, Anavatti, 2015, Optics Express). Recent journal articles encompass 'Real-time CCTV-based deep learning for early detection of lithium-ion battery fires' (Ali, Tahtali, Ghodrat, 2025, Journal of Power Sources), 'Feasibility study of multi Laue lens based SPECT with a dedicated 3D reconstruction algorithm using Monte Carlo simulations' (Barhoum, Tahtali et al., 2025, Scientific Reports), and 'Damage localization and quantification in plate structures using ensemble network' (Irawan, Morozov, Tahtali, 2025, Engineering Structures). He also holds US Patent 9,453,804 for 'Method and apparatus for generating a representation of an internal structure of an object' (2016). His work has received over 1,500 citations, underscoring its impact in medical imaging, adaptive optics, and finite element applications.