Jitendra K Tugnait

James B Davis Professor
Department of Electrical and Computer Engineering
Auburn University

Contact

313 Broun Hall, Auburn AL 36849-5201
Tel: (334) 844-1846
Fax: (334) 844-1809
tugnajk@auburn.edu

Current Research Interests

Statistical Signal Processing Conditional independence graphs of random vectors and matrices, and multivariate time series; Improper/non-circular complex-valued random signal processing; Robust signal processing
Machine Learning for Signal Processing Graphical modeling of random vectors and matrices, and multivariate time series; Differential (dependency) graphical modeling

Past Research Interests

Wireless Physical & Secure Communications Physical layer security; Massive MIMO; Cognitive radio
Multisensor Multitarget Tracking

► csauthors.net ► dblp ► Google Scholar ► Semantic Scholar

Forthcoming

J.K. Tugnait, "Conditional independence graph estimation from multi-attribute dependent time series," presented at the IEEE International Workshop on Machine Learning for Signal Processing (MLSP-2024), London, UK, Sept. 22-25, 2024.

J.K. Tugnait, "Learning sparse high-dimensional matrix-valued graphical models from dependent data," IEEE Trans. Signal Processing, vol. 72, pp. 3363-3379, 2024. [pdf]

Some recent papers

J.K. Tugnait, "Delay embedding for matrix graphical model learning from dependent data," in Proc. 2024 IEEE Intern. Conf. Acoustics, Speech & Signal Processing (ICASSP 2024), pp. 6180-6184, Seoul, South Korea, April 14-19, 2024.

J.K. Tugnait, "Learning high-dimensional differential graphs from multi-attribute data," IEEE Trans. Signal Processing, vol. 72, pp. 415-431, 2024. [pdf]

J.K. Tugnait, "Estimation of differential graphs from time-dependent data" in 2023 Proc. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2023), pp. 261-265, Los Suenos, Costa Rica, Dec. 10-13, 2023.

J.K. Tugnait, "Estimation of differential graphs via log-sum penalized D-trace loss," in Proc. 22nd IEEE Statistical Signal Processing Workshop (SSP-2023), pp. 240-244, Hanoi, Vietnam, July 2-5, 2023.

J.K. Tugnait, "Sparse high-dimensional matrix-valued graphical model learning from dependent data," in Proc. 22nd IEEE Statistical Signal Processing Workshop (SSP-2023), pp. 344-348, Hanoi, Vietnam, July 2-5, 2023.

J.K. Tugnait, "Estimation of high-dimensional differential graphs from multi-attribute data," in Proc. 2023 IEEE Intern. Conf. Acoustics, Speech & Signal Processing (ICASSP 2023), Rhodes Island, Greece, June 5-9, 2023.

Link to our graduate program.

Date of latest revision: thu jul 18 2024