Demo Data from VLDB 2026 / reviewers in the wild / expert
S. Deepak Narayanan
dblp:256/8113
· DBLP profile ↗
2ranked-venue papers
2as first author
1since 2021 · last 2022
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Computer networks · 1 · 1 first-author
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.
| Artificial intelligence
1 paper |
Graph learning · 50% Efficient and distributed learning · 50% | |
| Computer networks
1 paper |
Internet of things and sensor networks · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Environmental and earth informatics · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Efficient and distributed learning
efficient training |
0.6 | 1 | 2022 | IGLU: Efficient GCN Training via Lazy Updates · ICLR 2022 |
Machine learning › Graph learning › graph neural network training
graph convolutional network training |
0.6 | 1 | 2022 | IGLU: Efficient GCN Training via Lazy Updates · ICLR 2022 |
Internet of things and sensor networks
sensor placement |
0.4 | 1 | 2020 | A toolkit for spatial interpolation and sensor placement: poster abstract · SenSys 2020 |
Internet of things and sensor networks
spatial interpolation |
0.4 | 1 | 2020 | A toolkit for spatial interpolation and sensor placement: poster abstract · SenSys 2020 |
Environmental and earth informatics
environmental sensing |
0.1 | 1 | 2020 | A toolkit for spatial interpolation and sensor placement: poster abstract · SenSys 2020 |
Methods — techniques the papers use, named apart from their topics
spatial interpolation algorithms · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | IGLU: Efficient GCN Training via Lazy Updates
S. Deepak Narayanan, Aditya Sinha, Prateek Jain 0002, Purushottam Kar, Sundararajan Sellamanickam |
ICLR | 1 |
| 2020 | A toolkit for spatial interpolation and sensor placement: poster abstractabstractSensing is central to the SenSys and related communities. However, fine-grained spatial sensing remains a challenge despite recent advancements, owing to cost, maintenance, among other factors. Thus, estimating the sensed phenomenon at unmonitored locations and strategically installing sensors is of prime importance. In this work, we introduce Polire - an open-source tool that provides a suite of algorithms for spatial interpolation and near-field passive sensor placements. We replicate two existing papers on these two tasks to show the efficacy of Polire. We believe that Polire is an essential step towards lowering entry barriers towards sensing and scientific reproducibility. S. Deepak Narayanan, Zeel B. Patel, Apoorv Agnihotri, Nipun Batra 0001 |
SenSys | 1 |