Asha Sankar Ramalaxmi
no image
Asha Sankar Ramalaxmi

Asha Sankar Ramalaxmi
------------ |------------
EDUCATION
UNIVERSITY OF MINNESOTA
MS IN BIOMEDICAL ENGINEERING
Sep 2020 | Twin Cities, MN
NATIONAL INSTITUTE OF TECH
BTECH IN EEE
May 2018 | Trichy, IN
COURSEWORK
GRADUATE
Introduction to Data Mining
Biomedical Digital Signal Processing
Computational Vision
Bioelectronics and Microsystems
Neural Engineering
UNDERGRADUATE
Programming with C
Data structures and Algorithms
Artificial Neural Networks
Pattern Recognition
Microprocessors and Micro-controllers
Analog and Digital Electronics
ONLINE
Deep Learning
Object-Oriented Data Structures in C++
GitHub
SKILLS
PROGRAMMING
Over 2000 lines:
Matlab • Python • C++ • C
Familiar:
CSS • Javascript • HTML • LATEX
Mathematica • Shell
PACKAGES
Python
Jupyter Notebook • Numpy • OpenCV
Tkinter • Pyeeg • Scipy • Multiprocessing
Matplotlib • Psychopy • Pygame
Simulations
Pspice • TINA • Weka • Matlab
Neuroscience
OpenVibe • Human Cicerone • ITK Snap
RESEARCH EXPERIENCE
CVN LAB, CMRR | RESEARCH ASSISTANT
Apr 2019 - Aug 2020 | Minneapolis, MN
• Used statistical simulations to show good pre-processing techniques can
improve the SNR of fMRI data (increase the noise ceiling to 55% (on average))
in Matlab.
• Led a team of three and developed NSD Face-Word Annotations as a part of
the Natural Scenes Dataset extensions.
• “Text Detection in the Wild” - Using EAST (An Efficient and Accurate Scene Text
Detector) algorithm to automatically annotate the text in 73000 images, thus
saving 608 human hours (approx. required for manual annotations).
NIT TRICHY | PROJECT LEAD
Dec 2017 – Apr 2018 | Trichy, IN
• Developed a model of Genetic Algorithm based Spiking Neural Network to
recognize characters of the English Language in Python. It was highly resistant
to noisy inputs (perfect accuracy for up to 8.5 % noisy inputs).
NANYANG TECHNOLOGICAL UNIVERSITY | RESEARCH ASSISTANT
May 2017 – Jul 2017 | Singapore, SG
• Improved EEG signals of subjects by 40% by using an online real-time
neurofeedback system (with GUI) in Python [Developed and documented the
code].
IIT MADRAS | RESEARCH ASSISTANT
Apr 2013 – Jun 2013 | Chennai, IN
• Designed a feed-forward back-propagation ANN model (in Matlab) inspired
from the visual information processing that occurs in the human visual cortex.
PRESENTATIONS
PERCEPTION LUNCH | UMN
Presented a talk at the Department of Psychology, UMN, on “Developing
quantifiable stimulus information in Natural Scenes (NSD)”.
ALGONAUTS | MIT
Presented a research poster on ”Stability and Quality of Single Trial
Estimates of Natural Scenes Dataset”.
EXTRACURRICULAR ACHIEVEMENTS
• GWBME – Graduate Women in Biomedical Engineering, University of Minnesota
(Member, 2018 - 2020).
• Head, Electrical and Electronics Engineering Association Social Responsibility
Team, NIT Trichy (2017-2018).
• Spider – Research and Development Club of NIT Trichy (Member, 2016 – 2018).
• NTU-India Connect Program Fellow (May 2017 — July 2017) – Selected as one of
50 people nationwide to do a summer project at Nanyang Technological University,
Singapore.
• Research Science Initiative-Chennai, IIT Madras Fellow (April 2013 — June 2013).
Selected as one of the top 30 students in the city for doing a summer research camp at
the Indian Institute of Technology, Madras.