Pranav Jindal
Graduate student in Computer Science
Stanford University
Recently completed projects:-
OPTIMAL EXPERIMENTAL DESIGN
Research Internship at LCN, EPFL​ Summer 2013
Measured human risk-taking behavior using Active learning. Human subjects were posed with a choice between two lotteries with different payouts and risks. Adaptive Bayesian Inference was used to minimize the number of trials for the subject, by greedily maximizing the information gain at each step in the experiment.
ACCELEROMETER DATA AS BIOMETRIC
Foundations of Machine Learning course project IIT Bombay
Worked on using Accelerometer data as a Biometric for identifying users of mobile devices. Secured 1st position out of roughly 50 teams from IIT Bombay in this machine learning contest using a Random forest and SVM classifiers.
OBJECT DETECTION
Digital Image processing course project
IIT Bombay
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Implemented the Scale Invariant Feature Transform (SIFT) algorithm for keypoint extraction from an image to build a database of object features and used the nearest neighbour search for matching features of a new image to the database for Object detection.