Anand D. Sarwate
A. Walter Tyson Assistant Professor
Department of Electrical and Computer Engineering
Rutgers, The State University of New Jersey

Associate Member, Dept. of Statistics
Associate Member, Dept. of Computer Science
Associate Member, WINLAB
Affiliate Member, DIMACS

CoRE Building Rm. 517
Phone: +1-848-445-8516
Email: anand.sarwate@rutgers.edu

Office Hours (Fall 2017):
Monday 10-11 (CoRE 503)
Wednesday 11-12 (CoRE 503)
Support
Some of my research is (and has been) generously supported by federal agencies and corporations. Many thanks to them!
[NSF] CCF-1910110
CIF: Small: ESTRELLA: Exploiting Structure in Tensors for Representation, Estimation, and Limits of Learning Algorithms
(PI: Anand D. Sarwate, Co-PI: Waheed U. Bajwa)
[NSF] CCF-1909468
CIF: Small: Collaborative Research: Between Shannon and Hamming
(PI: Anand D. Sarwate, Co-PI: Michael Langberg)
[NSF] SaTC-1617849
TWC: Small: PERMIT: Privacy-Enabled Resource Management for IoT Networks
(PI: Anand D. Sarwate, Co-PI: Narayan B. Mandayam)
[DARPA] Brandeis, subcontract with Galois, Inc.
Jana: Ensuring Secure, Private and Flexible Data Access
(PI: David Archer (Galois) -- subaward to Rutgers: Rebecca Wright (PI), Co-PIs: Anand D. Sarwate, David Cash)
[NIH] 1R01DA040487-01A1
COINSTAC: Decentralized, Scalable Analysis of Loosely Coupled Data
(PI: Vince Calhoun (MRN) -- subaward to Rutgers: Anand D. Sarwate (PI))
[NSF] CCF-1453432
CAREER: Privacy-preserving learning for distributed data
(PI: Anand D. Sarwate)
Past Support
[NSF] CCF-1525276
CIF: Small: Active data screening for efficient feature learning
(PI: Waheed Bajwa, Co-PI: Anand D. Sarwate)
[NSF] CCF-1218331/CCF-1440033
CIF: Small: Collaborative Research: Inference by social sampling
(PI: Anand Sarwate)
[Verisign] gift through DIMACS Center to work on applied and theoretical privacy
(PIs: Rebecca Wright, Anand D. Sarwate)
[DHS] through CCICADA Center
DPAD: Differentially Private Anomaly Detection
(PIs: Rebecca Wright, Anand D. Sarwate)
[ARL] Robotics CTA award from General Dynamics
Active Feature Learning and Classifier Training for Object Recognition
(Waheed Bajwa, Anand Sarwate, Athina Petropulu)