dr. G. Joseph

Assistant Professor
Circuits and Systems (CAS), Department of Microelectronics

Expertise: Compressive Sensing, Sparse Signal Processing, Signal Processing for Communication, Linear Dynamical Systems

Themes: Autonomous sensor systems


Geethu Joseph received the B. Tech. degree in electronics and communication engineering from the National Institute of Technology, Calicut, India, in 2011, and the M. E. degree in signal processing and the Ph.D. degree in electrical communication engineering (ECE) from the Indian Institute of Science (IISc), Bangalore, in 2014 and 2019, respectively. She was a Postdoctoral Fellow with the Department of Electrical Engineering and Computer Science, Syracuse University, NY, USA, from 2019 to 2021. She is currently an assistant professor at TU Delft. Dr. Joseph was awarded the Prof. I. S. N. Murthy Medal in 2014 for being the best M. E. (signal processing) student with the ECE dept., IISc, the 2020 SPCOM Best Doctoral Dissertation Award, and the Seshagiri Kaikini Medal for the best Ph.D. thesis of the ECE dept., at IISc for the year 2019-'20. Her research interests include statistical signal processing, network control, and machine learning.

EE4740 Data compression: Entropy and sparsity perspectives

Data compression and its connections to information theory and compressed sensing

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

Education history

EE4560 Information theory

(not running) Source and channel coding

Signal processing for environment-aware radar

In future, cars will exploit multiple radars towards autonomous driving. Before this becomes a reality, several challenges will have to be solved.

  1. Output Controllability of a Linear Dynamical System with Sparse Controls
    Geethu Joseph;
    IEEE Transactions on Control of Network Systems,
    2022. DOI: 10.1109/TCNS.2022.3188484

  2. Stabilizability of Linear Dynamical Systems Using Sparse Control Inputs
    Chandrasekhar Sriram; Geethu Joseph; Chandra R. Murthy;
    IEEE Transactions on Automatic Control,

  3. State Estimation of Linear Systems With Sparse Inputs and Markov-modulated Missing Outputs
    Geethu Joseph; Pramod K. Varshney;
    In European Signal Processing Conference,

  4. Near-field Focusing Using Phased Arrays With Dynamic Polarization Control
    Nitih Jonathan Myers; Yanki Aslan; Geethu Joseph;
    In European Signal Processing Conference,

  5. Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers
    Saikiran Bulusu; Geethu Joseph; M. Cenk Gursoy; Pramod K. Varshney;
    In Neurips,
    2022. (S. Bulusu and G. Joseph have equal contribution).

  6. Sensorized nanoliter reactor chamber for DNA multiplication
    V.P. Iordanov; B.P. Iliev; V. Joseph; J. Bastemeijer; P.M. Sarro; I.T. Young; G. van DedemWK; M.J. Vellekoop;
    In D. Rocha; P.M. Sarro; M.J. Vellekoop (Ed.), Proceedings of IEEE Sensors, 2004,
    IEEE, Piscataway, pp. 229-232, 2004. niet eerder opgevoerd 50/50 EI/ECTM.

BibTeX support

Last updated: 13 Nov 2022