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Nathaniel Cherian

dblp:426/1366 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2026
0009-0007-8407-0098ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021Security and privacy · 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.

Computer graphics and multimedia
1 paper
Multimedia systems and quality of experience · 100%
Computer networks
1 paper
Network performance modeling · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network performance modeling
application performance modeling
0.312025
Poster: A Case for Modeling Video Conferencing Applications · IMC 2025

Methods — techniques the papers use, named apart from their topics

modeling · 1.7
YearPublicationVenuePosition
2026 A Microscopic View of Congestion Control Behavior in Video Conferencing Applications
Nathaniel Cherian, Akhil Prasad, Sonia Fahmy
PAM1
2025 Poster: A Case for Modeling Video Conferencing Applications
abstract
Video Conferencing Applications (VCAs) are widely used in education and remote work. Realistic modeling of VCAs, especially proprietary VCAs, enables simulation of VCA behaviors under network conditions that are different from those where the VCAs are deployed. Models of VCAs can be useful for both network operators and VCA developers who can assess how sensitive a VCA is to changes in the network. For instance, if VCA A begins to suffer video quality degradation when end-to-end delay exceeds 100 ms, while VCA B's corresponding threshold is 200 ms, operators can decide to give priority to A's traffic for better overall user experience. Additionally, modeling helps VCA designers select parameter values to navigate inherent performance trade-offs. If a model can quantify, for instance, how increasing a certain threshold to enhance video quality stability may increase frame latency, designers can make informed choices.
Akhil Prasad, Nathaniel Cherian, Sonia Fahmy
IMC2