Projects per year
Fingerprint
Dive into the research topics where H. Vincent Poor is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
-
EAGER: Collaborative Research: Blockchain Graphs as Testbeds of Power Grid Resilience and Functionality Metrics
NSF - National Science Foundation
11/15/20 → 10/31/22
Project: Research project
-
RAPID: Collaborative Research:The effects of evolutionary adaptations on the spreading of COVID-19
NSF - National Science Foundation
5/1/20 → 4/30/22
Project: Research project
-
NSF:BSF:CIF: Small: A Unified View of Estimation and Information Relationships for Networks and Beyond
NSF - National Science Foundation
7/1/19 → 6/30/22
Project: Research project
-
AMPS: Collaborative Research: Analysis of Local Power Grid Properties: from Network Motifs to Tensors
NSF - National Science Foundation
9/1/17 → 8/31/20
Project: Research project
Research Output
-
A variational interpretation of the Cramér–Rao bound
Fauß, M., Dytso, A. & Poor, H. V., May 2021, In: Signal Processing. 182, 107917.Research output: Contribution to journal › Article › peer-review
-
Data-Driven False Data Injection Attacks against Power Grids: A Random Matrix Approach
Lakshminarayana, S., Kammoun, A., Debbah, M. & Poor, H. V., Jan 2021, In: IEEE Transactions on Smart Grid. 12, 1, p. 635-646 12 p., 9146569.Research output: Contribution to journal › Article › peer-review
-
Fast-Convergent Federated Learning
Nguyen, H. T., Sehwag, V., Hosseinalipour, S., Brinton, C. G., Chiang, M. & Vincent Poor, H., Jan 2021, In: IEEE Journal on Selected Areas in Communications. 39, 1, p. 201-218 18 p., 9252927.Research output: Contribution to journal › Article › peer-review
-
Malicious Experts Versus the Multiplicative Weights Algorithm in Online Prediction
Bayraktar, E., Poor, H. V. & Zhang, X., Jan 2021, In: IEEE Transactions on Information Theory. 67, 1, p. 559-565 7 p., 9203984.Research output: Contribution to journal › Article › peer-review
-
Orthogonal Chirp-Division Multiplexing for Power Line Sensing via Time-Domain Reflectometry
Giroto De Oliveira, L., De Lima Filomeno, M., Poor, H. V. & Vidal Ribeiro, M., Jan 15 2021, In: IEEE Sensors Journal. 21, 2, p. 955-964 10 p., 8786818.Research output: Contribution to journal › Article › peer-review