Satyavarta Satyavarta

677 Beacon St, Boston MA 02215(206) 802–

Education

  • Boston University, Boston MA

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

Skills

  • Applied Statistics: Statistical Learning; Pattern Recognition; Information Theory
  • Time-series analysis: Stochastic Processes; Point Processes; speech and signal processing
  • Algorithms design, analysis and implementation
  • Programming: C/C++, Java, Python, bash Unix scripting, Databases (SQL and JDBC)
  • Numerical and Scientific Computing: MATLAB, R, Microsoft Excel, SPSS
  • Parallel programming: LAM/MPI with C/C++/MATLAB, multi-threading in C/C++/Java

Experience

  • Boston University, Boston, MA 2003–present

Research Assistant under Prof Barbara Shinn-Cunningham

–Developed, implemented and evaluated a computational algorithm for unsupervised binaural speech separationusing insights from psychophysics in statistical learning framework

–Performed information theoretic analysis of speech data pertinent to speech separation

–Developed computational algorithm for coherence based dereverberation of binaural speech signals

–Designed and programmed media player to run multiple movies simultaneously on screen in C++ with SDL

–Programmed spatialization filter for mplayer Linux media player in C

  • Max-Planck Instituet Fuer Informatik, Saarbruecken, Germany May–July 2001

Intern in Algorithms Group under Dr Ulrich Meyer

–Developed, implemented and evaluated an algorithm for Single Source Shortest Paths problem in average caselinear time for LEDA C++ algorithms library.

Academic Projects

  • Statistics and Artificial Intelligence

–Implemented and evaluated pattern recognition algorithms in two graduate level courses on statistical learning

–Modeled neural time series data with Poisson models, Generalized Linear Models, and particle filters

–Modeled stochastic processes, and performed Bayesian and maximum likelihood parameter estimation, andstochastic optimization for signal detection and estimation in graduate level course assignments

  • Algorithms and Programming

–Set up a Linux compute cluster of four machines, and analyzed its performance with standard parallel IntegerSort benchmark in semester-long minor project

–Developed and implemented algorithm for Optimal Heterogeneous Vehicle Routing in a metro city under thecompetitive Summer Undergrad Research Award, IIT Delhi

–Designed 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, NJ

–Talk 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 UndergraduateResearch Award, 2000 Ranked in top 0.2% for IITs, 1998Indian Govt. scholarship (NTSE) since1996Design with digital media(Illustrator and the GIMP) fiction and movie criticismTae Kwon-do