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Dr. Syed Irtiza Ali Khan
Associate Professor
Avionics Engineering Department

CAE
National University of Sciences and Technology (NUST)
College of Aeronautical Engineering, PAF Academy, Risalpur
Tel : 0321-3707613

Specialization
Computer vision for pattern recognition, Machine learning, Machine vision for fault diagnostic, Gait-based analysis of human behavior in images and videos

Education
PhD and MS (Computer Vision, Georgia Institute of Technology, USA) BE (Avionics Engineering, College of Aeronautical Engineering, NUST)

Dr. Syed Irteza Ali Khan is an associate professor at the department of Avionics Engineering, College of Aeronautical Engineering (CAE), National University of Sciences & Technology (NUST) Pakistan. He completed his undergraduate studies from CAE, NUST, in 1996, in the specialty of avionics engineering. He holds Masters and PhD degrees (2013) from Georgia Institute of Technology, USA, in the area of computer vision applications for pattern recognition. His industrial experience includes five years of industrial experience in the maintenance management of on-board avionics systems; and design, implementation, and testing of microcontroller based digital systems. Dr. Irteza has also a one-year experience on design and testing machine vision algorithms for fault diagnostics of mechanical parts through image processing. Since November, 2013 he has been a faculty member at CAE, NUST.

Decision support systems,
Material failure analysis through machine-vision based image processing,
Recognition of humans at a distance (Human-Gait based analysis).
Conference Papers
Khan, S.I.A, Barnes, C. F. “Fine-Grain Feature Attribution for Image Understanding Using
Residual Vector Quantization”, IEEE IGARSS/USA 2012
Khan, S.I.A., Barnes, C. F., “Using Residual Vector Quantization for Image Content
Classification”, IEE ICASSP/USA 2011
Khan, S.I.A., Barnes, C. F., “Object Recognition from Residual Vector Quantization Generated
Fine-Grained Segmentation Maps”, ASPRS/USA, 2011
Khan, S.I.A., Barnes, C. F., “Markov Random Field Structured Direct Sum Residual Vector
Quantization for Classification”, IEEE Future Tech, 2010
Khan, S.I.A., Barnes, C. F., “Specific Feature Extraction via Markov Random Fields Derived from
0th-Order Sigma-Tree Segmentations”, ASPRS/USA, 2010
Digital System – Logic Design, Analysis and Design of Feedback Control Systems, Feedback
Controls.
Five years of experience as a design engineer, and one year of experience as a researcher.