Shalini Purwar
18 Peabody Terrace, Apt # 11,
Cambridge, MA 02138
857-445-1506
shalini.purwar@gmail.com
EDUCATION
Indian Institute of Technology(IIT),
Master of Technology (M.Tech),
Electronics and Communication Department
Kharagpur, India
August 2004-May 2006
Rajiv Gandhi Prodhyogiki Vishwavidhyalya(RGPV)
Bachelor of Engineering (B.E.),
Major: Electronics & communication
Bhopal, India
August 1999-May 2003
EXPERIENCE
Northeastern University,Department of ECE,
Graduate Research Assistant
Nvidia Graphics,
System Software Engineer
Boston, MA
September 2009 – Present
Pune, India
August 2006 – July 2007
Indian Institute of Technology(IIT),
Research Assistant
Kharagpur, India
June 2005 – May 2006
COMPUTER SKILLS
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Languages : C/C++, MATLAB, LaTeX, LabView, C like assembly (CLASM)
Software/Tools: SDL, Pscyhtoolbox, EEGLAB, Eclipse, MS Office
Operating Systems: Windows, OSx, Linux
COURSES STUDIED
Numerical Optimization Methods
Statistical and Adaptive Signal Processing
Computer Vision
Design and Analysis of Algorithms
Mutlimedia systems and Applications
Digital Signal Processing
Pattern Recognition and Applications
Modern Signal Processing,
Probility and random variables
Advance operating systems
Digital Image Processing
Neural networks and Applications
HONOR AND AWARDS
 Awarded full scholarship including tuition and stipend from Northeastern University. September
2009-present.
Shalini Purwar
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Awarded MHRD scholarship for two years 2004-2006.
Scored 99.54 percentile sore in GATE (Graduate Aptitude Test in Engineering) , an all India
examination.
Scored merit position in Univeristy during B.E. with 81.23% marks.
Served as secretarty in MT Hall of Residence, IIT Kharagpur
TRAINING
 Parallel Computing with Matlab Mathworks, December 2011
 Introduction to Object Oriented Programming using C++, MGH, Boston, MA, Dec 2010
 Data Structures and programming using C, SEED, Pune, INDIA, September 2007
 Operating Systems, SEED, Pune, INDIA, September 2007
PROJECTS UNDERTAKEN
Motor Imagery based Brain-Computer Interface
 Developed a BCI system using MATLAB platform consisting of data-acquisition, presentation
and classification module.
 Classification of EEG trial signals was done using Fisher Discriminant Analysis (FDA) using
Common Spatial Pattern(CSP) based feature extraction.
RSVP-iconCHAT
 Work includes developing a communication system for autistic population.
 Contributed to EEG acquisition, data classification and communication between signal
processing and presentation module.
RSVP Keyboard
 Worked in a team designing Brain Computer Interface based typing interface for population
suffering from locked in syndrome (LIS).
 Contribution included creating LabView based data acquisition module that acquires EEG
data from amplifier with real-time signal display on the screen, real-time spectrum analyser.
BCI Artifact reduction module design
 Artifact reduction code: Used Least Mean Squares based adaptive filtering approach to filter
out artifact components form EEG signal
 Ocular artifact identification and rejection: Used template matching approach for identifying
eye-blink artifacts from EEG signals and designed a code to remove trials with artifacts from
evaluation.
MPEG-4 Video Encoder API Design
 Wrote API for video encoder based on MPEG-4 video standard for hand-held device team in
Nvidia Graphics
 Tested system on Windows based PCI slot, Linux using Mini-me.
 Designed several applications for clients – video conferencing, capture screen shot during
video playback.
H.264 Video Decoder Design
 Implements H.264 standard based video decoder on Multi-DSP chip
Shalini Purwar
PUBLICATIONS
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H. Nezamfar, U. Orhan, S. Purwar, K.E. Hild, B. Oken, D. Erdogmus, “Decoding of Multichannel
EEG Activity from the Visual Cortex in Response to Pseudorandom Binary Sequences of Visual
Stimuli” ”, submitted to the International Journal of Imaging Systems and Technology (Special
Issue on Brain Interfaces), accepted in Feb 2011
K.E. Hild II, U. Orhan, D. Erdogmus, B. Roark, B. Oken, S. Purwar, H. Nezamfar, M. Fried-Oken,
“An ERP-based Brain-Computer Interface for Text Entry using Rapid Serial Visual Presentation
and Language Modeling”, Proceedings of ACL’11, accepted in Apr 2011.
(http://www.aclweb.org/anthology-new/)
H. Nezamfar, U. Orhan, D. Erdogmus, K.E. Hild, S. Purwar, B. Oken, M.Fried-Oken, “ On Visually
Evoked Potentials in EEG Induced by Multiple Psuedorandom Binary Sequences for Brain
Computer Interface Design“, ICASSP’2011, May 2011
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