dr.ir. S.P. Chepuri

Circuits and Systems (CAS), Department of Microelectronics

Expertise: Signal processing; Sparse Sampling; Statistical inference.

Themes: Signal processing for communication


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 is currently a postdoctoral scholar with the Circuits and Systems group at the Faculty of Electrical Engineering, Mathematics and Computer Science of the Delft University of Technology, The Netherlands. 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, ADMM.

ET4386 Estimation and detection

Basics of detection and estimation theory, as used in statistical signal processing, adaptive beamforming, speech enhancement, radar, telecommunication, localization, system identification, and elsewhere.

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.

Last updated: 19 Jul 2017