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Classification of Alzheimer's Disease and MCI with Machine Learning and Neural NetworksAug 2016 - Dec 2016 (4 months)
Key Skills: Python, Tensorflow, MRI Data Preprocessing, Matlab, Neural Network and Machine Learning Term project of EE599 Special Topics: ML in MRI Data class at University of Southern California under supervision of (Raghu) Raghavendra.
Senior ProjectSep 2015 - Jan 2016 (4 months)
Key Skills: Image Processing, Signal SNR Enhancement, Matlab, Academic Research Implementation of Algorithm for ’High-resolution Restoration of 3D Structures from Widefield Images with Extreme Low Signal-to-noise-ratio’ Thesis by Arigovindan et. al.
ROIC Image Processing ProjectJul 2015 - Aug 2015 (1 month)
Key Skills: Raw Image Processing, Matlab, C# Integration of ROIC Camera Circuits with PCB and Image Processing of ROIC Camera • Programmed a hardware interface in Visual Studio by C# coding. • Performed a comprehiensive market research for suitable ADCs and FPGAs for specific ROIC camera circuits
Summer InternshipJun 2015 - Jul 2015 (1 month)
RF Hardware Design • Designed and implemented Butterworth, Chebyshev and elliptic RF filters • Analyzed capacitors and inductors for RF circuits in real-time applications
Sampling Algorithms for Compressed Sensing in Biomedical Image SignalsJun 2014 - Aug 2014 (2 months)
Key Skills: Matlab, Image Processing, MRI Signal Processing, Compressed Sensing, Signal Processing Reviewed signal processing literature by experimenting with biomedical images in Matlab • Designed sampling masks according to desired probability density functions in Matlab • Collected, processed and examined data using structure arrays in Matlab • Adapted compressed sensing algorithms for biomedical images to decrease the computation time in reconstruction of magnetic resonance images.
B.Sc. in Electrical And Electronics Engineering2012 - 2016 (4 years)
Python 3 Tutorial Course (2017)Solo Learn
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