dr.ir. S.P. Chepuri

Circuits and Systems (CAS), Department of Microelectronics

PhD thesis (Jan 2016): Sparse Sensing for Statistical Inference: Theory, Algorithms, and Applications
Promotor: Geert Leus, Alle-Jan van der Veen

Expertise: Signal processing; Sparse Sampling; Statistical inference.

Themes: Signal processing for communication


Sundeep Chepuri was a postdoc at CAS until December 2018. He was born in Bangalore, India in 1986. He received his M.Sc. degree (cum laude) in electrical engineering and his Ph.D. degree (cum laude) from the Delft University of Technology, The Netherlands, in 2011 and 2016, respectively. He has held positions at Robert Bosch, India, during 2007-2009, and Holst Centre/imec-nl, The Netherlands, during 2010-2011. His general research interest lies in the field of signal processing for networks and statistical inference. He is the recipient of the best student paper award at IEEE ICASSP 2015.

EE4530 Applied convex optimization

Applied convex optimization: role of convexity in optimization, convex sets and functions, Canonical convex problems (SDP, LP, QP), second-order methods, first-order methods for large-scale problems.

Projects history

Reliable and fast wireless communication for lithography machines

Connecting a sensor network on a moving platform to a control unit; this requires high-speed links with low latency, and accurate wireless clock synchronization.

Signal Processing for Self-Organizing Wireless Networks

Mathematical foundations to develop large self-organizing networks based on cognitive radio devices that are capable of sensing the radio spectrum and adapt accordingly.


Microphone Subset Selection for MVDR Beamformer Based Noise Reduction

Software, Jan 2018

Sensor Selection

Microphone Subset Selection for MVDR Beamformer Based Noise Reduction

Software, Jan 2018

Last updated: 13 Mar 2019

Sundeep Prabhakar Chepuri