Internship project topic:
Low dimensional models for high dimensional data.
Hemant received a master degree in Communication Systems from EPFL in 2011 with a thesis titles “Local sampling analysis for quadratic embeddings of Riemmanian manifold”. He is currently pursuing a PhD in Prof. Emo Welzs’s research group. His research interestes are approximation theory, online optimization, computational learning theory and low dimensional models for high dimensional data.