Ashkan Pakzad
Research Fellow at University of Melbourne
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolAshkan Pakzad is a research-focused engineer and postdoctoral fellow with eight years' experience applying image processing and computer vision to medical imaging and translational projects. With a PhD and MRes from UCL and current research fellowship at the University of Melbourne, he bridges rigorous academic methods and practical implementation to drive clinically-relevant solutions. His background includes teaching and curriculum leadership (AFHEA-accredited) and short-term research roles across UCL and Deakin, reflecting adaptability in collaborative, interdisciplinary teams. Known for hands-on analysis of medical images, he combines deep domain knowledge in medical physics with a talent for turning complex models into usable tools for healthcare.
8 years of coding experience
1 year of employment as a software developer
Physics, Maths, Chemistry & Biology A-level, Physics, Maths, Chemistry & Biology A-level at Queensmead School Sixth FormUniversity College London
English, Persian
Stackoverflow
91reputation
159reached
3answers
0questions
Github Skills (36)
measurements10
matlab10
segmentation10
medical-image-analysis10
medical-imaging9
medical8
medical-image-computing8
medical-image-processing8
data-augmentation7
image-analysis7
png6
python-sphinx6
plot6
python6
colorbar6
Programming languages (6)
Github contributions (5)
ashkanpakzad/AirQuant
Oct 2019 - Jan 2023
AirQuant is a framework based in MATLAB primarily for extracting airway measurements from fully segmented airways of a chest CT.
Contributions:1 release, 566 commits, 34 PRs in 3 years 3 months
segmentedmedical-imagesmatlabmedical-image-processingmeasurements
ashkanpakzad/pulmonarytoolkit
May 2021 - May 2022
Lung medical image analysis and visualisation software for Matlab.
Contributions:1 release, 4 pushes, 1 branch in 11 months
image-analysismatlabmedical-imagevisualisationcomputed-tomography
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