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Profile
Ravi Tandon
Associate Professor, Electrical and Computer Engineering | Member of the Graduate Faculty
Electrical and Computer Engr
Overview
Research
More
Collaboration
(29)
Hao Zhang
Mutual work: 2 Proposals
Collaboration Details
Nirav Merchant
Mutual work: 4 Proposals﹒2 Grants
Collaboration Details
Bonnie LaFleur
Mutual work: 1 Proposal
Collaboration Details
Salim Hariri
Mutual work: 3 Proposals
Collaboration Details
Michael Chertkov
Mutual work: 1 Proposal
Collaboration Details
Page 1 of 6
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Grants
(11)
Data-Driven Population Health Surveillance at Scale for Pandemic Readiness
Active
·
2024
·
$34K / $68K
·
External
Principal Investigator (PI)
population health,
data analysis,
pandemic preparedness,
surveillance,
data-driven approach
Computer-Aided Triage of Body CT Scans with Deep Learning
Active
·
2023
·
$76.2K / $381K
·
External
Co-Investigator (COI)
medical imaging,
deep learning,
healthcare technology,
diagnostic imaging,
computer-aided diagnosis
Collaborative Research: SaTC: CORE: Medium: Graph Mining and Network Science with Differential Privacy: Efficient Algorithms and Fundamental Limits
Active
·
2023
·
$182.5K
·
External
Principal Investigator (PI)
graph mining,
network science,
differential privacy,
efficient algorithms,
fundamental limits
EAGER: DCL: SaTC: Enabling Interdisciplinary Collab: Impact-aware Machine Learning for Fair and Private Decision Making: Algorithms and Applications in Juvenile Justice Systems
Active
·
2022
·
$150K / $300K
·
External
Principal Investigator (PI)
machine learning,
interdisciplinary collaboration,
privacy preservation,
fair decision making,
juvenile justice
CIF: Small: Learning To Correct Errors
Active
·
2021
·
$253.7K / $507.4K
·
External
Co-Investigator (COI)
machine learning,
error correction,
artificial intelligence,
neural networks,
computer vision
Page 1 of 3
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Publications
(88)
Recent
<i>CURATE<i> Scaling-UDifferentially Private Causal Graph Discovery
2024
privacy,
causal inference,
graph analysis,
scaling,
data mining
Mac aware quantization for distributed gradient descent
2020
machine learning,
distributed computing,
quantization,
gradient descent,
networking
On Secure Topological Interference Management for Half-rate-feasible Networks
2020
interference management,
topological networks,
secure communication,
half-rate-feasible networks,
wireless communication
Designing finite alphabet iterative decoders of ldpc codes via recurrent quantized neural networks
2020
ldpc codes,
neural networks,
decoder design,
quantized processing,
iterative decoding
Local information privacy and its application to privacy-preserving data aggregation
2020
privacy,
data,
information,
privacy-preserving,
aggregation
The capacity of private information retrieval from uncoded storage constrained databases
2020
information retrieval,
database storage,
privacy,
data security,
uncoded storage
Wireless federated learning with local differential privacy
2020
wireless communication,
federated learning,
differential privacy,
data privacy,
machine learning
Aggregation-based location privacy: An information theoretic approach
2020
privacy,
information theory,
location,
aggregation,
security
Adversarial filters for secure modulation classification
2020
adversarial attacks,
modulation classification,
secure communication,
machine learning,
signal processing
Topological Interference Management with Confidential Messages
2020
wireless communications,
topology,
information theory,
signal processing,
network security
