Deval Mehta
Research Fellow at Monash University
Melbourne, Victoria, Australia
Summary
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Senior🎓
Top SchoolDeval Mehta is an interdisciplinary research fellow based in Melbourne with 12 years of experience translating deep learning and multi-modal AI into clinical practice across dermatology, neurology and ophthalmology. Combining PhD-level expertise in image processing with industry stints at IBM and Panasonic, he leads cross-sector teams and hospital partnerships to build explainable, fair Foundation models and human-in-the-loop systems for real-world healthcare settings. He mentors and manages PhD students and research engineers, shepherding prototypes from lab to bedside while emphasizing transparency and patient-centred design. Notably, his work spans both core computer vision research and practical deployment, including projects on skin, brain and eye imaging that bridge academia, industry and health services.
12 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering, Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering at National Institute of Technology, TiruchirappalliDoctor of Philosophy (PhD) Image processing Pattern recognition, Doctor of Philosophy (PhD) Image processing Pattern recognition at Nanyang Technological University Singapore
Github Skills (28)
hamming-distance10
correlation10
convolutional-neural-networks8
simulation8
testing7
image-quality7
darknet6
stylegan6
python6
deep-learning5
neural-network4
pipeline4
tensorflow4
generative-adversarial-network4
cyclegan4
Programming languages (3)
Github contributions (5)
DevD1092/spr_riav_real_time
Nov 2018 - Jan 2021
Contributions:13 commits, 12 pushes, 1 branch in 2 years 3 months
DevD1092/spr_ham_spear
Dec 2017 - Jan 2021
Repository for simulation and testing codes of star identification algorithm based on hamming distance and spearman-correlation
Contributions:49 commits, 46 pushes, 3 branches in 3 years 1 month
pythonhamming-distancetestingsimulationdistance
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