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Curriculum
 
RESEARCH INTERESTS
Machine learning, signal intelligence, data mining, underwater acoustic signal processing and classification, image processing, telecommunications, content-based information retrieval, multimedia processing, computational biology, bioinformatics.

EDUCATION
PAST WORK EXPERIENCE

Cantametrix, Inc., 2000 to 2001.
  • Researched, developed, and implemented audio fingerprinting algorithms for the identification and classification of digital music. Worked on the concept, design, MATLAB prototype, and C++ implementation of the algorithm as part of the R&D group.
  • As Technical lead of the R&D group during development of the second generation of audio fingerprinting algorithm, fostered the adoption of solid software construction, testing, and documentation procedures within a research environment.
The audio fingerprinting technology was acquired in 2001 by Gracenote, the leader in digital music identification, and is now incoporated into the Gracenote MusicID™ product. The technology is being used by Apple iTunes and Yahoo Music, among others. A patent has been issued: "Automatic Identification of Sound Recordings," USPTO N. 7328153.

Insightful Corp.,  1998 to 2000.
  • Researched, developed, tested specialized algorithms for applications in digital signal processing, including adaptive filtering, blind equalization, wavelets and time-frequency analysis, image processing, tactical communications, image texture analysis. Contributed to the development of specialized software modules for the scientific computing language S-PLUS.
  • One of the key developers of new versions of the digital signal processing and image processing toolboxes for Mathcad, a leading technical visualization and scientific computing software package.

Cellular Technical Services,  1998.
  • Contributed to development and improvement of real-time pattern recognition system for cloning fraud detection in cellular communications.
  • Applied numerical algorithms to RF fingerprinting, statistical analysis, fuzzy logic, and neural networks.

Center for Nanotechnology, University of Wisconsin-Madison,  1996 to 1997.
  • Modeled semiconductor manufacturing processes. Applied artificial neural networks to function approximation, interpolation, parameter extraction, and optimization.
  • Designed, implemented, and maintained web site. Wrote CGI scripts in Perl for automated web-based resume and homepage creation. The web pages describing the facilities are still being used to give visitors a virtual tour of the Center.
ADDITIONAL INFO
Honors
  • AFCEA Ph.D. Fellowship, 2004
Software Expertise
  • C/C++ on Unix and Windows; shipped 2 shrink-wrap software products.
  • MATLAB (10+ yrs), including signal processing, image processing, communications, wavelet, neural networks, fuzzy logic toolboxes, and object-oriented capabilities of newer versions of Matlab.
  • S-PLUS, Mathcad, UML, exposure to Perl, FORTRAN, Pascal.
  • Best practices in software construction, applying principles promoted by Steve McConnell.
  • LaTex, MS Office, OpenOffice, HTML, Linux.
Additional Training
Professional Affiliations
  • Member of IEEE, IEEE Signal Processing Society, IEEE Graduates of the Last Decade.