Varsha

ACADEMIC PROFILE
M. Tech BIOMEDICAL SIGNAL PROCESSING & INSTRUMENTATION (2010-2012)
Rashtreeya Vidyalaya College of Engineering (RVCE)
Percentage: 82.3% (First Class with Distinction)
B.E ELECTRICAL AND ELECTRONICS ENGINEERING (2005-2009)
Rashtreeya Vidyalaya College of Engineering (RVCE)
Percentage: 75.6% (First Class with Distinction)
PUC S Nijalingappa PU College, Rajajinagar, Bangalore (2004-2005)
Group: Physics, Chemistry, Mathematics,
Percentage: 91.2% (First Class with Distinction)
ACADEMIC ACCOMPLISHMENTS/HONORS
â?¢ Certificate Course in Basic Computer at Super Computer Research and Education Center (SERC), Indian Institute of Science, Bangalore (2003)
â?¢ Certificate Course in C-programming at NIIT, Malleswaram Branch, Bangalore (2005)
â?¢ Course in MATLAB and Pspice at Dept. of EEE, RVCE, Mysore Road, Bangalore (2006)
â?¢ Short-Term Course in C-Programming at Dept. of EEE, RVCE, Mysore Road, Bangalore (2007)
â?¢ Course in VHDL at Dept. of EE, RVCE, Mysore Road, Bangalore (2008)
SKILL SET: Languages: C, C++ ; Tools: MATlab, Pspice , NIRFAST; Tools : AutoCAD 2D and 3D
FELLOWSHIP AND INTERNSHIP
â?¢ Awarded Summer Research Fellowship by Indian Academy of Science(2011) and was given an opportunity to work in a project titled â??DEBLURRING OF DIFFUSE OPTICAL TOMOGRAPHIC IMAGES: A PREPROCESSING APPROACHâ?? under Prof. Phaneendra K Yalavarthy, Supercomputer Education & Research Centre (SERC), Indian Institute of Science, Bangalore (July 1, 2011 to August 31, 2011).
â?¢ Selected for an internship by EMBRACE GLOBAL (Developers of INFANT INCUBATORS AND HEALTH CARE SYSTEMS at low cost and portable to reduce infant deaths) (2011).
PROJECT PROFILE Computational Modeling of Ultrasound Propagation in Soft Tissue (2011):
This project was executed under the guidance of Dr Prof Phaneendra K Yalavarthy, Medical Imaging Group, Super Computer and Research Centre as a part of Final Masters Dissertation work. There is a Novel technique of Medical Imaging, Photo Acoustic Tomography. It involved the analyzing and identifying of the air gaps and other anomalies in Image obtained. Its application involves the detection of the Breast Cancer at very early stage. The project required an Matlab Image Tool Box and KWave Tool Box on a Mac Platform.