Research Assistant Resume San Diego, CA - Hire IT People

Profile

10 years’ experience in machine learning, natural language processing, image processing, computer vision, and algorithm design
Blends extensive theoretical knowledge with common sense, and strong programming skills
A quick learner with a passion for developing solutions to complex problems

Technical Skills

Languages: C, C++, Python, Perl, PHP, Java, Ruby, Bash, HTML, and XML
Software: Matlab, Octave, Visual C++, MySQL, Oracle, Office, Mathematica, MathCad, and Subversion
O/S: Linux, Windows, MAC OS and Unix

Selected Professional Experience

Software Engineer – Confidential, 10/2010–6/2012

Recruited to work in a development group on machine translation (linguistic-rule-based, pure statistical, and hybrid algorithms). Responsible for developing and testing software.

Im proved the Arabic-English transfer system (BLEU score +4 units; linguistic rules, inflection, lookup rules, user dictionary system, word choice rules, and dictionary compilation).
Developed an algorithm for data mining noun and adverbial phrases.
Developed the Named Entities Database Administration Library (the library itself, the command line interface and the soap server). Tested and delivered to the government (CIA).
Developed the Global Dictionary project (dictionary import, conflict resolution, and translation lookup).

Image Computational Engineer - Confidential, 1/2008–7/2010

Recruited to work in an R&D group of a start-up company that specializes in video search/video monetization. Accountable for developing and testing algorithms to extract metadata from image sequences.

Devised a multi-core algorithm to detect TV show scene locations. Testing: 100% precision/50% recall.
Developed a new real-time car detection algorithm that is 500% faster than the previous algorithm.

Research Assistant, Confidential, 8/2000–12/2007

Performed research and handled special projects for my Ph.D. advisor, delivered lectures for graduate and undergraduate courses, and published research.

Applied generative approach to model video and verified model's suitability for stabilization, layering, and clustering of video.
Led the evaluation of face detection/tracking algorithms for a government agency, which came second to a specialized company, a success that was a key factor in the award of a $900K grant.
Developed the object tracking system that is faster than real time and has no initialization problems.
Created an algorithm to embed biometrics information in barcodes for use on school ID cards.

Education & Professional Development

Ph.D. in Electrical and Computer Engineering
M.S. in Electrical and Computer Engineering
B.S. in Electrical Engineering

Languages: Proficient in German; fluent in Serbian

Publications:

Nemanja Petrovic, Aleksandar Ivanovic, Nebojsa Jojic, Sumit Basu, Thomas Huang, "Recursive Estimation of Generative Models of Video," IEEE Conference on Computer Vision and Pattern Recognition, June 2006.

A. Ivanovic and T.S. Huang, "A Probabilistic Framework for Segmentation and Tracking of Non Rigid Objects for Video Surveillance," Proc. IEEE Int. Conf. on Image Proc., Singapore, October 2004.
(A complete list of professional experience and publications is available at Confidential or upon request)

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