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Modeling EEG with HMM and Directional Distributions
Can we predict what someone sees by looking at electric brain activity? We approached this problem by modeling EEG data with directional multivariate distributions and Markov Chain Models
Semidefinite programming for graph clustering
Convex relaxation techniques to make the graph-cut problem(NP-hard) computationally feasible while keeping high performance. Real world application for community detection in graphs
Sketch to prototype
At Uizard, I worked building a pipeline to turn handwritten mockups into digital designs
Inverse Covariance Selection via ADMM
Distributed computing for high scale optimization problems via Alternating Direction Method of Multipliers(ADMM)