Vivek Nigam
1353 W. Taylor St., Apt# 3R
Chicago, Il, 60607
Cell Ph: 312-753-8481
Email: vnigam1@uic.edu
OBJECTIVE
To obtain a research position that utilizes and contributes to my experience and knowledge
in digital signal processing.
EDUCATION
Fall 2002-Present
PhD in Electrical and Computer Engineering at the University of Illinois at Chicago.
GPA: 3.91/4.00.
Expected graduation: May 2006.
Thesis Title: Blind Source Separation based Cardiac Sound Analysis. Advisor: Dr. Roland
Priemer
Aug. 1996- May 2000 Bachelor in Electrical and Communication Engineering at The Indian Institute of Technology
(IIT), Guwahati, India.
GPA: 8.43/10.00
RESEARCH EXPERIENCES
My research emphasis is in the field of auscultation dynamics that is generally concerned with the technology
necessary to perform diagnostics based on analyses of sounds produced by the human physiological system. Over
the past three years I have been actively involved in identifying critical problems in physiological monitoring and
designing and implementing digital signal processing based algorithms to solve them.
Past & Present Research Projects:
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Fuzzy clustering based cardiac murmur extraction to detect cardiac abnormalities.
Blind source separation based separation of aortic and pulmonary components for non-invasive
determination of pulmonary hypertension.
Separation of heart sound components to determine cardiac well being using blind source separation.
Multiple fetal phonocardiogram separation, to monitor fetus health in multiple pregnancies, using
delayed blind source separation.
Separation of snores from their mixtures, to detect symptoms of sleep apnea, using delayed blind
source separation.
Accessing heart dynamics to detect heart sound components to extract clinically important parameters.
Epilepsy detection by utilizing large memory storage and retrieval network.
PUBLICATIONS
Journals
1. V Nigam and R Priemer, Accessing heart dynamics to estimate durations of heart sounds, Physiological
Measurement, 26, pp.1005-1018, 2005.
2. V Nigam and R Priemer, A dynamic method to estimate the time split between the A2 and P2 components
of the S2 heart sound, Physiological Measurement, 27, pp.553-567.
3. V Nigam and Daniel Graupe, Automated epilepsy detection via multistage nonlinear EEG filtering and a
LAMSTAR Neural Network, Neurological Research, 26, pp.55-60,2004.
4. V Nigam and R Priemer, Fuzzy logic based variable step size for blind delayed source separation, Fuzzy Sets
and Systems. (Accepted, Feb. 2006)
5. V Nigam and R Priemer, Fuzzy clustering based extraction of systolic cardiac murmurs, IEEE Trans. on
Biomedical Engineering. (Submitted, Nov. 2005)
6. V Nigam and R Priemer, Extraction of aortic and pulmonary valve sounds from the phonocardiogram, IEEE
Letters in Biomedical Engineering. (Submitted, May 2005)
7. V Nigam and R Priemer, Online non-invasive twin-fetal sound analysis using generalized blind delayed
source separation, Medical & Biological Engineering & Computing (Submitted, March 2006).
8. V Nigam, S Dandapat, and J S Sahambhi, Wavelet based fetal ECG detection, Journal of Institution of
Engineers, 83, pp.5-8, May 2002.
9. V Nigam and R Priemer, A snore extraction method from mixed sound for a mobile snore recorder, Journal
of Medical Systems, 30, 2, pp.91-99, 2006.
Conferences
1. V Nigam and R Priemer, "Complexity based gating of heart sounds”, IEEE MWSCAS, Cincinnati, Ohio,
August 2005.
2. V Nigam and R Priemer, "Source adaptivity for cardiac sound separation", IEEE MWSCAS, Cincinnati,
Ohio, August 2005.
3. V Nigam and R Priemer, "Cardiac sound separation", IEEE Computers in Cardiology, Chicago, August 2004.
4. V Nigam and R Priemer, "On-line and non-invasive fetal sound analysis”, IEEE Region 4
Electro/Information Technology Conference, Milwaukee, Wisconsin, August 2004.
5. V Nigam and R Priemer, "Blind delayed source separation", International Conference on Cybernetics and
Information Technologies, Systems and Applications (CITSA 2004), Orlando, July 2004.
6. V Nigam and Daniel Graupe, "Automated detection of epilepsy using a LAMSTAR neural network, Proc.
IASTED Internatl. Conf. On Biomedical Engineering, Salzburg, Austria, June 2003.
7. V Nigam, Masud Chowdhury and R Priemer, “Compound noise analysis in VLSI circuits using blind source
separation”, ISCAS 2006, Greece. (Accepted, Jan. 2006)
INVENTION DISCLOSURES
The following inventions, emerging out of my research, have been disclosed to the technology officer at the
University of Illinois at Chicago.
1. Cardiac Sound Separator TM (A device to separate major components of the heart sound to facilitate
diagnosis, using Blind Source Separation)
2. Twin Fetus PCG Separator TM (A device to separate heart sounds of multiple fetuses in a multiple
pregnancy)
3. A Portable Snore Recorder TM (A device to separate snores of sleeping subjects from their mixtures to detect
symptoms of sleep apnea)
RELEVANT COURSEWORK
Pattern Recognition, Optimal Adaptive Digital Filters, Image Analysis and Machine Vision, Neural Networks,
Random Signal Analysis, Advanced Digital Signal Processing, Linear Systems, Advanced Digital Communication,
Parallel Processing, Introduction to VLSI, Advanced VLSI.
AWARDS AND RECOGNITION
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Recipient of The Prakash Agarwal Foundation Fellowship from Aug. 2002 to Aug. 2005, at the University of Illinois
at Chicago
Second position in Mini Expo Poster Session for UIC College of Engineering Advisory Board Meeting, Oct 21, 2005.
WORK EXPERIENCE
Aug. 2005 – Present
June 2005 – July 2005
Aug. 2000 – May 2002
Teaching assistant for basic digital signal processing and network analysis courses.
Supervised laboratory experiments and helped students with their assignments.
Developed test cases and performed product testing for Clarity Communication
Systems on their location based services software WHEREABOUTS.
Senior Software Engineer, WIPRO Technologies, India.
o Designed and developed software for Enigma, Inc, for electronic book
publishing web server, Dynaweb and PartSight. Trained new recruits in web
publishing technology.
o Participated in testing of Rapid Review®, which is an electronic manuscript
submission and tracking system developed by Cadmus Communication.
SKILLS
Programming Languages: C, C++, Java, MATLAB, Visual Basic.
Operating Systems: Windows 95, 98, 2000, NT, XP (Home, Professional), most flavors of UNIX.
Design Software (Engineering): Cadence, SystemView by Elanix®, PSpice.
Software: IBM WebSphere, Rational Rose, Microsoft Office XP.
Web Technologies: SGML, HTML, DHTML, XML, UML, CSS, JavaScript.
REFERENCES
Available upon request.