Dr Amir Haji Rassouliha

BE Isfahan University of Technology, MSc Iran University of Science and Technology

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Research Fellow


Amir obtained his Bachelor of Electronics Engineering from Isfahan University of Technology in 2007 and his Master of Science in Electronics Engineering from Iran University of Science and Technology in 2009. His Master of Science thesis was on biomedical image and signal processing. 

He started his career as an engineer in 2009. Amir’s major role in his working career was hardware (FPGA and DSP) implementation of signal and image processing systems. After three years of professional engineering experience, Amir returned to university to work towards a PhD degree at the Auckland Bioengineering Institute (ABI) in June 2013.

Research | Current


3D soft tissue deformation measurement

Biomechanical models of different human body organs are helpful in diagnosis and curing of many diseases. These models have been developed for human soft tissues such as breast and skin, especially for detecting and curing cancer. Amir’s thesis topic is developing a system to measure 3D deformation of these soft tissues. The resulting measurements will be used to characterise tissue properties to feed in the computational models.

His thesis involves machine vision, image processing, instrumentation and hardware implementation. In the machine vision and image processing part he is developing very accurate image registration and camera calibration algorithms for measuring 3D surface deformation of soft tissues (such as breast and skin). In the instrumentation part of his project, he has developed a hand-held device which includes four high-speed cameras to capture synchronised images; and in the hardware part, Amir is using FPGA and GPU-based systems to decrease the computation time of this 3D surface measurement system.



Research groups


  • Best student oral presentation in ABI 2014 research forum.
  • One of 3 engineers selected by the Faculty of Engineering for the 2015 "Engineers in Clinical Residence" program. A one week full-time program to promote relationships, awareness and collaboration between engineers and clinicians, who have an interest in developing innovative clinically-oriented health technology.     

Areas of expertise

  • Machine vision,
  • Image processing,
  • Camera calibration, 
  • 3D reconstruction,
  • Hardware implementation (FPGA, DSP, and GPU).

Selected publications and creative works (Research Outputs)

  • HajiRassouliha, A., Taberner, A. J., Nash, M. P., & Nielsen, P. M. F. (2018). Subpixel phase-based image registration using Savitzky-Golay differentiators in gradient-correlation. Computer Vision and Image Understanding, 170, 28-39. 10.1016/j.cviu.2017.11.003
    Other University of Auckland co-authors: Martyn Nash, Andrew Taberner, Poul Nielsen


Contact details

Primary office location

Level 5, Room 527
New Zealand

Web links