Naveen K. D. Venkategowda is an Assistant Professor (Universitetslektor) at the Department of Science and Technology and part of the Communication Electronics group since Jan. 2021. From Oct. 2017 to Feb. 2021, he was postdoctoral researcher at the Department of Electronic Systems, Norwegian University of Science and Technology, Trondheim, Norway. He was a Research Professor at the School of Electrical Engineering, Korea University, South Korea from Aug. 2016 to Sep. 2017. Naveen received Ph.D. in electrical engineering from Indian Institute of Technology Kanpur, India, in 2016 and B.E. in electronics and communication engineering from Bangalore University, India, in 2008. He was a recipient of the TCS Research Fellowship (2011-15) from TCS for graduate studies in computing sciences, the ERCIM Alain Bensoussan Fellowship in 2017, and Runner up - Best Paper Award in Fusion 2020.

Recent Publications:

A. Moradi, S. P. Talebi, N. K. D. Venkategowda, and S. Werner, “Securing the distributed Kalman filter against curious agents,” in 24th International Conference on Information Fusion (FUSION), Nov. 2021.

K. P. Rajput, M. F. Ahmed, N. K. D. Venkategowda, A. K. Jagannatham, G. Sharma, and L. Hanzo, “Robust decentralized and distributed estimation of a correlated parameter vector in MIMO-OFDM wireless sensor networks,” IEEE Transactions on Communications, 2021.

K. P. Rajput, Y. Verma, N. K. D. Venkategowda, A. K. Jagannatham, and P. K. Varshney, “Robust linear transceiver designs for vector parameter estimation in MIMO wireless sensor networks under CSI uncertainty,” IEEE Transactions on Vehicular Technology, 2021.

V. Håkansson, N. K. D. Venkategowda, and S. Werner, “Optimal transmission threshold and channel allocation strategies for heterogeneous sensor data,” in 2021 55th Asilomar Conference on Signals, Systems and Computers, Nov. 2021.

A. Moradi, S. P. Talebi, N. K. D. Venkategowda, and S. Werner, “Distributed Kalman filtering with privacy against honest-but-curious adversaries,” in 2021 55th Asilomar Conference on Signals, Systems and Computers, Nov. 2021.

B. D. Barros, N. K. D. Venkategowda, and S. Werner, “Quickest detection of stochastic false data injection attacks with unknown parameters,” in IEEE Statistical Signal Processing Workshop (SSP), Jul. 2021.

C. Gratton, N. K. D. Venkategowda, R. Arablouei, and S. Werner, “Distributed learning with non-smooth objective functions,” in Proc. 27th European Signal Processing Conference (EUSIPCO), Jan. 2021.

N. K. D. Venkategowda and S. Werner, "Privacy-Preserving Distributed Maximum Consensus," in IEEE Signal Processing Letters, vol. 27, pp. 1839-1843, 2020.

K. P. Rajput, Y. Verma, N. K. D. Venkategowda, A. K. Jagannatham, and P. Varshney, “Linear MMSE precoder combiner designs for decentralized estimation in wireless sensor networks,” in Proc. 2020 IEEE Global Communications Conference: Wireless Communications (Globecom2020 WC), Dec. 2020.

V. Håkansson, N. K. D. Venkategowda, and S. Werner, “Optimal scheduling of multiple spatio-temporally dependent observations using age-of-information,” in Proc. 2020 54th Asilomar Conference on Signals, Systems and Computers, Nov. 2020.

F. Gauthier, C. Gratton, N. K. D. Venkategowda, and S. Werner, “Privacy-preserving distributed learning with non-smooth objective functions,” in Proc. 2020 54th Asilomar Conference on Signals, Systems and Computers, Nov. 2020.

V. Håkansson, N. K. D. Venkategowda, and S. Werner, “Optimal scheduling policy for spatio-temporally dependent observations using age-of-information,” in Proc. 23rd International Conference on Information Fusion (FUSION), Runner up - Best Paper Award in general category, Jul. 2020.