Pramod K. Varshney
Electrical Engineering & Computer Science
- Ph. D. (Illinois) 1976
- CASE, Director
- Distributed sensor networks and data fusion
- Detection and estimation theory
- Wireless communications
- Radar signal processing
- Physical layer security
There are two broad areas of current research. First deals with fusion of information from a variety of heterogeneous sources. Novel fusion and sensor management algorithms are being developed that enhance system performance as well as conserve system resources such as bandwidth and energy. Typical signal processing tasks are detection, localization, tracking and classification of objects and events. Distributed algorithms based on compressive sensing for these signal processing tasks are also being developed. The second area deals with cognitive networks where network throughput is to be maximized via active sensing and control under a number of system constraints. Security threats such as Byzantines and jamming are being investigated. Mitigation approaches are being developed using game theoretic concepts.
- Detection and estimation theory
- IEEE Fellow 1997
- Third Millennium Medal IEEE 2000
- Judith A. Resnik Award IEEE 2012
- President International Society of Information Fusion 2001.
- Honorary Doctorate Degree, Drexel University, 2014
- Distinguished Alumni Award, ECE Department, Univ. of Illinois, 2015
K. Varshney, Distributed Detection and Data Fusion, Springer-Verlag, 1997.
L. Foresti, C. S. Regazzoni, and P. K. Varshney (eds.), Multisensor Surveillance Systems: The Fusion Perspective, Kluwer Academic Press, 2003.
K. Varshney and M. K. Arora (eds.), Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data, Springer Verlag, 2004.
Cao, N., Brahma, S. K., and Varshney, P. K., “Target Tracking via Crowdsourcing: A Mechanism Design Approach,” IEEE Trans. Signal Process., vol. 63, no. 6, pp. 1464-1476, Mar. 15, 2015.
Vempaty, A., He, H., Chen, B., and Varshney, P. K., ” On Quantizer Design for Distributed Bayesian Estimation in Sensor Networks,” IEEE Trans. Signal Process., vol. 62, no. 20, pp. 5359-5369, Oct. 15, 2014.
Chen, H., Varshney, L. R., and Varshney, P. K., ” Noise-Enhanced Information Systems,” Proc. IEEE, vol. 102, no. 10, pp. 1607-1621, Oct. 2014. (Invited)
Wimalajeewa, T., and Varshney, P. K., “OMP Based Joint Sparsity Pattern Recovery Under Communication Constraints,” IEEE Trans. Signal Process., vol. 62, no. 19, pp. 5059-5072, Oct. 1, 2014
Vempaty, A., Tong, L. and Varshney, P. K., “Distributed Inference with Byzantine Data: State-of-the-Art Review on Data Falsification Attacks,” IEEE Signal Process. Mag., vol.30, no.5, pp.65-75, Sept. 2013
Vempaty, A., Varshney, L. R., and Varshney, P. K., “Reliable Crowdsourcing for Multi-Class Labeling using Coding Theory,” IEEE J. Sel. Topics Signal Process., vol. 8, no. 4, pp. 667-679, Aug. 2014
Chen, H., Chen, B. and Varshney, P. K., “A New Framework for Distributed Detection with Conditionally Dependent Observations,” IEEE Trans. Signal Process., vol. 60, no. 3, pp. 1409-1419, Mar. 2012
S. Rawat, P. Anand, H. Chen and P. K. Varshney, “Collaborative Spectrum Sensing in the Presence of Byzantine Attacks in Cognitive Radio Networks,” IEEE Trans. on Signal Process., vol.59, no.2, pp.774-786, Feb. 2011
Masazade, R. Rajagopalan, P. K. Varshney, C. Mohan, G. K. Sendur, and M. Keskinoz, “A Multi-objective Optimization Approach to Obtain Decision Thresholds for Distributed Detection in Wireless Sensor Networks,” IEEE Transactions on Systems, Man, and Cybernetics – Part B, Vol. 40, No. 2, Apr. 2010
Masazade, R. Niu, P. K. Varshney, M. Keskinoz, ”Energy Aware Iterative Source Localization Schemes for Wireless Sensor Networks,” IEEE Trans. Signal Process., vol.58, no.9, pp.4824-4835, Sept. 2010.
Ozdemir, R. Niu, and P. K. Varshney, “Tracking in wireless sensor networks using particle filtering: Physical layer considerations,” IEEE Trans. Signal Process., vol.57, no. 5, pp. 1987-1999, May 2009
Niu, B. Chen, and P. K. Varshney, “Fusion of decisions transmitted over Rayleigh fading channels in wireless sensor networks,” IEEE Trans. Signal Processing, vol. 54, pp. 1018-1027, Mar. 2006.
N. Heo and P. K. Varshney, “Energy-efficient deployment of intelligent mobile sensor networks,” IEEE Trans. Syst., Man, Cybern. A, vol. 35, pp. 78-92, Jan. 2005.