Computer Science Engineering

Satyavarta Satyavarta

*** ****** **, ****** ** **215 (206) 802–5311 ***@***.**.*** http://cns.bu.edu/~sat

Education

PhD, Cognitive and Neural Systems January 2009

Dissertation: The Cocktail Party Animal -- a psychophysically motivated speech separation algorithm.Indian Institute of Technology (IIT), Delhi, India

Master of Technology, Computer Science and Engineering May 2003

Major project: USB Stack for RTKER Real-time Operating System (RTOS)

Bachelor of Technology, Computer Science and Engineering May 2003

SkillsApplied Statistics: Statistical Learning; Pattern Recognition; Information TheoryTime-series analysis: Stochastic Processes; Point Processes; speech and signal processingAlgorithms design, analysis and implementationProgramming: C/C++, Java, Python, bash Unix scripting, Databases (SQL and JDBC)Numerical and Scientific Computing: MATLAB, R, Microsoft Excel, SPSSParallel programming: LAM/MPI with C/C++/MATLAB, multi-threading in C/C++/Java

ExperienceBoston University, Boston, MA 2003–present

Research Assistant under Prof Barbara Shinn-CunninghamDeveloped, implemented and evaluated a computational algorithm for unsupervised binaural speech separation using insights from psychophysics in statistical learning frameworkPerformed information theoretic analysis of speech data pertinent to speech separationDeveloped computational algorithm for coherence based dereverberation of binaural speech signalsDesigned and programmed media player to run multiple movies simultaneously on screen in C++ with SDLProgrammed spatialization filter for mplayer Linux media player in CMax-Planck Instituet Fuer Informatik, Saarbruecken, Germany May–July 2001

Intern in Algorithms Group under Dr Ulrich MeyerDeveloped, implemented and evaluated an algorithm for Single Source Shortest Paths problem in average case linear time for LEDA C++ algorithms library.

Academic ProjectsStatistics and Artificial IntelligenceImplemented and evaluated pattern recognition algorithms in two graduate level courses on statistical learningModeled neural time series data with Poisson models, Generalized Linear Models, and particle filtersModeled stochastic processes, and performed Bayesian and maximum likelihood parameter estimation, and stochastic optimization for signal detection and estimation in graduate level course assignments

Set up a Linux compute cluster of four machines, and analyzed its performance with standard parallel Integer Sort benchmark in semester-long minor projectDeveloped and implemented algorithm for Optimal Heterogeneous Vehicle Routing in a metro city under the competitive Summer Undergrad Research Award, IIT DelhiDesigned and implemented online course pre-registration system prototype at IIT Delhi as a summer project

Publications Predicting Daily Returns using GLMs, Poster at SIAM Conference on Financial Mathematics & Engineering 2008, New Brunswick, NJTalk at International Conference on Cognitive and Neural Systems 2008, Boston, MA.Poster presentations at Cosyne 2005, Salt Lake City, UT, and Boston University Science Day, 2007.

Awards and Activities

Deans Fellowship, Boston University Graduate Aptitude Test in Engineering GATE, 98.20%ile Summer Undergraduate Research Award, 2000 Ranked in top 0.2% for IITs, 1998 Indian Govt. scholarship (NTSE) since 1996 Design with digital media (Illustrator and the GIMP) fiction and movie criticism Tae Kwon-do

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