Demo Data from EDBT 2026 / reviewers in the wild / expert
Priyanshu Tiwari
dblp:370/0175
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 2 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
2 papers |
Cellular and mobile networks · 70% Physical-layer communications · 23% Edge and fog computing · 7% | |
| Artificial intelligence
2 papers |
Reinforcement learning · 77% Efficient and distributed learning · 23% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cellular and mobile networks
6g |
2.0 | 2 | 2026 | Digital Twin-Assisted Belief-State Reinforcement Learning for Latency-Robust ISAC in 6G Networks · INFOCOM 2026 NUA-FedBeam: Noisy-Uplink-Aware Federated Downlink Beamforming for Distributed MIMO · INFOCOM 2026 |
Physical-layer communications › MIMO
distributed MIMO |
1.0 | 1 | 2026 | NUA-FedBeam: Noisy-Uplink-Aware Federated Downlink Beamforming for Distributed MIMO · INFOCOM 2026 |
Cellular and mobile networks
integrated sensing and communication |
1.0 | 1 | 2026 | Digital Twin-Assisted Belief-State Reinforcement Learning for Latency-Robust ISAC in 6G Networks · INFOCOM 2026 |
Machine learning › Efficient and distributed learning
federated learning |
0.3 | 1 | 2026 | NUA-FedBeam: Noisy-Uplink-Aware Federated Downlink Beamforming for Distributed MIMO · INFOCOM 2026 |
Edge and fog computing
digital twin |
0.3 | 1 | 2026 | Digital Twin-Assisted Belief-State Reinforcement Learning for Latency-Robust ISAC in 6G Networks · INFOCOM 2026 |
Methods — techniques the papers use, named apart from their topics
reinforcement learning · 2.0federated learning · 2.0digital twin · 2.0beamforming optimization · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | NUA-FedBeam: Noisy-Uplink-Aware Federated Downlink Beamforming for Distributed MIMO
Himanshu Tiwari, Binayak Kar, Priyanshu Tiwari |
INFOCOM | 3 |
| 2026 | Digital Twin-Assisted Belief-State Reinforcement Learning for Latency-Robust ISAC in 6G Networks
Himanshu Tiwari, Binayak Kar, Priyanshu Tiwari |
INFOCOM | 3 |