dr. R.T. Rajan

Assistant Professor
Signal Processing Systems (SPS), Department of Microelectronics

PhD thesis (Oct 2016): Relative Space-Time Kinematics of an Anchorless Network
Promotor: Alle-Jan van der Veen

Expertise: Multi-agent Systems, Positioning Navigation Timing (PNT), Space Systems

Themes: Autonomous sensor systems, XG - Next Generation Sensing and Communication

Biography

Dr. Raj Thilak Rajan (S'11-M'17-SM'22) is an assistant professor with the Signal Processing Systems (SPS) group, the Master Coordinator for the Signals and Systems track (MS-EE-S&S) and is the Co-director of the Delft Sensor AI Lab. He received his Ph.D. in 2016 from TUD, and obtained his M.Sc. (class first, youngest in class) and B.Sc. (with distinction) in Electronic sciences from University of Pune, India in 2006 and 2004 respectively. Raj is an IEEE Senior member, and the Best paper award nominee at IEEE CAMSAP 2013. He is an elected member of the IEEE ASI (Autonomous Systems Initiative) and the IAF SCAN (Space communications and Navigation) committee. He is an Associate Editor for the IEEE Open Journal of Signal Processing (IEEE-OJSP), and is a reviewer for various related journals and conferences. His research interests lie in statistical machine learning and optimization, with applications to distributed autonomous sensing systems.

Previously, he held research positions with diverse responsibilities at IMEC (Eindhoven, 2015-2018), University of Twente (Enschede, 2014-2015) and ASTRON (Dwingeloo, 2008-2014). He was a SSPF fellow (The Netherlands, 2019), INFN fellow (Italy, 2008), MIUR fellow (Italy, 2007), TIFR-VSRP fellow (India, 2005), and is an alumnus of the SSP2019 program from the international space university (ISU). He obtained his University Teaching Qualification (UTQ/BKO) diploma in 2021.

If you are interested in collaborating on relevant topics, then I look forward to hearing from you. PhD aspirants and enthusiastic master thesis students are encouraged to write to me with a (a) your interests+passion (b) resume and (c) a brief proposal (not for master students). There are numerous internships and thesis oppurtunities with other companies and institutes. If you are already pursuing a thesis/internship/extra-project with me, then you can find guidelines here

New PhD opening !!!

EE4540 Distributed signal processing

Signal processing techniques for decentralized signal processing

EE4760 Probablistic sensor fusion

EE4C03 Statistical digital signal processing

A second course on digital signal processing: random signals, covariances, linear prediction, spectrum estimation, optimal filtering, Wiener and Kalman filters, LMS and RLS algorithm

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.

Education history

EE3350TU Introduction to Radio Astronomy

(not running) Introduction to the science and technology of radio astronomy

ShapeFuture

On-board robust cognition and decision making for highly automated vehicles.

Reliable POwerDown for Industrial Drives

The pioneering EU research project R-PODID started on the 1st of September 2023. This KDT JU co-funded project aims to develop an automated, cloudless, short-term fault-prediction for electric drives, power modules, and power devices, that can be integrated into power converters.

Moonshot

Science, technology and Social solutions for Lunar missions

Delft Sensor AI Lab

Bringing AI to sensor networks

Cooperative Relative Navigation of Multi-agent Systems

Develop algorithms for multi-target position, time and orientation tracking in a mobile network of multi-agent systems

Airborne data collection on resilient system architectures

Develop algorithms to realize efficient, robust, cost-effective perception and control for autonomous navigation of drones

Projects history

PIPP OLFAR: Breakthrough technologies for Interferometry in Space

Combine multiple satellites into one single scientific instrument: a radio telescope in space

Low-frequency distributed radio telescope in space

Below 15 MHz, the ionosphere blocks EM signals from the sky. Therefore, can we design a radio telescope in space, using a swarm of inexpensive nano-satellites? Accurate localization and clock recovery is important.

Last updated: 27 Oct 2024