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RESEARCH INTERESTS
We go about our daily lives understanding almost nothing of the world. I have always aspired to work on the frontiers of scientific research, where the impact of technological development is felt first. Towards the completion of my Master of Applied Science in Electrical and Computer Engineering at Concordia University, Canada, I feel that there is much more to study and contribute to the mankind. In my opinion, the exposure about the complex behavior of brain, which I got during my thesis Compression of long-term EEG using Power spectral density, has set the base for me to explore the area of rehabilitation engineering and brain computer interface.
My first real life experience with the vast potential of science was in final year of my undergraduate studies at the Instrumentation and Control Engineering Department of V.I.T. College of Engineering, when I started working on a project RPM Meter, sponsored by Weighlux Ltd., Pune, India. The system was an Intel 8051 micro controller based. The project provided a good exposure to various stages of hardware and software development with signal processing as the backbone of the project.
I also worked as a Project Associate at the Indian Institute of Technology, New Delhi, India from August'2001 to July2002 on the design and development of EEG based communication device for the handicapped people. The project was commenced by the Department of Information and Technology, Government of India. My job included the study to the subject, collect EEG data (using Oxford Medelec, an automated EEG recording device), and extract features from the recorded EEG signal to differentiate them during the planning of right and left thumb movement. The classification of signal was performed using Neural Network. The complete simulation was done using MATLAB. Many other signal processing techniques like Fast Fourier Transform, Wavelets, and Independent Component Analysis were also used. Along with this project I also worked on 8051 micro controller based 18 bit Data Logger intended to acquires EEG & ECG signals, which stores raw signals in onboard memory bank and can later be uploaded to a PC for processing the stored data. It was a part of integrated software development for Quantification of autonomic tone. The project was a part of a project by the Department of Information & Technology (MIT), Government of India. This short stint has given me invaluable research experience and supported my urge to persuade a specialization degree in signal processing.
Currently, I am a graduate research student in Centre for Signal Processing and Communication, Concordia University, Canada, under the guidance of Dr. M. N. S. Swamy (Research Professor, Concordia University) and Dr. Rajeev Agarwal (Research Director, Stellate Systems, Canada). As a requirement towards the completion of my Masters in Applied Sciences (with thesis option), my thesis is entitled Compression of long-term EEG using power spectral density. In my research, I am evaluating the power spectral density as the feature to characterize the quasi-stationary segments of EEG for the compression of long-term ICU EEG. The complete project involving segmentation, artifact removal, feature evaluation of segments, self organization and presentation of final results was successfully implemented through a GUI developed in MATLAB. The real-time sleep EEG recordings are used for analysis. An interface is used to interface raw EEG data from Harmonie v 5.3 (commercially available sleep analysis software by Stellate Systems, Canada) to MATLAB.
I would like to work with the intellect and talent in the stimulating and creative environment. I am confident of being able to achieve my academic best and make a meaningful contribution to the university and society and hereby looking forward to pursue my PhD with a esteemed tutelage.