Demo Data from EDBT 2026 / reviewers in the wild / expert
Dipu Ram Roy
dblp:404/0536
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0005-5348-9801ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author · 1 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.
| Human-computer interaction and pervasive computing
1 paper |
User interface design and tools · 100% | |
| Network and information security
1 paper |
Privacy and data protection · 100% | |
| Computer networks
1 paper |
Internet of things and sensor networks · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
User interface design and tools
interactive visualization |
0.9 | 1 | 2025 | Poster Abstract: PrivacyVis: Interactive Visualization Tool for Privacy Risks of Internet of Things Sensors · SenSys 2025 |
Internet of things and sensor networks › iot security and privacy
iot privacy |
0.3 | 1 | 2025 | Poster Abstract: PrivacyVis: Interactive Visualization Tool for Privacy Risks of Internet of Things Sensors · SenSys 2025 |
Methods — techniques the papers use, named apart from their topics
visualization · 2.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Poster Abstract: PrivacyVis: Interactive Visualization Tool for Privacy Risks of Internet of Things SensorsabstractThe widespread adoption of Internet of Things (IoT) devices has significantly enhanced convenience for consumers, yet the privacy implications of these devices remain unclear to most users, even with the availability of privacy policies. To address this challenge, we introduce a novel visualization tool that provides an informative and expressive visual representation of the sensors, data processing workflows, and associated privacy risks of IoT devices. This user-friendly tool is designed to enhance user understanding, empowering them to make informed decisions about their privacy. Dipu Ram Roy, Jieqiong Zhao, Shijia Pan, Shiwei Fang |
SenSys | 1 |