Demo Data from VLDB 2026 / reviewers in the wild / expert
Aashray Aggarwal
dblp:252/1047
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1Human-computer interaction and ubiquitous computing · 1
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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computing education · 100% | |
| Computer networks
1 paper |
Network measurement and analytics · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computing education › educational assessment
student assessment |
0.4 | 1 | 2019 | Measuring Student Learning On Network Testbeds · ICNP 2019 |
Network measurement and analytics › measurement infrastructure
network testbed |
0.1 | 1 | 2019 | Measuring Student Learning On Network Testbeds · ICNP 2019 |
Methods — techniques the papers use, named apart from their topics
instrumentation · 0.8command-line monitoring · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Using Terminal Histories to Monitor Student Progress on Hands-on ExercisesabstractHands-on exercises are often used to improve student engagement and knowledge retention in systems, networking and cybersecurity classes. Even when students comprehend the concepts, they may lack the skills to complete an exercise. Teachers need effective tools to identify these problemsduring an assignment and offer targeted and timely help. Jelena Mirkovic, Aashray Aggarwal, David Weinmann, Paul Lepe, Jens Mache, Richard Weiss 0001 |
SIGCSE | 2 |
| 2019 | Measuring Student Learning On Network TestbedsabstractEngaging students in practical, hands-on exercises on testbeds improves student learning and knowledge retention. However, testbeds may also present an obstacle to learning for students who are not familiar with the environment, or who lack the necessary background to complete their assignments. Our research investigates how students learn with testbeds. We instrument a default operating system on the DeterLab testbed and monitor the students' command line input and output, as they perform homework assignments.We use this data to evaluate students' progress, to detect when a student is struggling and to identify common problems. Paul Lepe, Aashray Aggarwal, Jelena Mirkovic, Jens Mache, Richard Weiss 0001, David Weinmann |
ICNP | 2 |