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Thea Rossman

dblp:322/4216 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2026
—ORCID · unresolved

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

Systems, architecture and hardware · 1 · 1 since 2021Computer networks · 1 · 1 first-author · 1 since 2021Software engineering, systems software and programming languages · 1 · 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 networks
2 papers
Network measurement and analytics · 48% Network management and operations · 24% Internet architecture and protocols · 21%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network management and operations
network monitoring
1.012026
Iris: Expressive Traffic Analysis for the Modern Internet · NSDI 2026
Network measurement and analytics
traffic analysis
1.012026
Iris: Expressive Traffic Analysis for the Modern Internet · NSDI 2026
Network measurement and analytics
traffic classification
1.012026
Iris: Expressive Traffic Analysis for the Modern Internet · NSDI 2026

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

sketch algorithms · 1.0programmable data plane · 1.0
YearPublicationVenuePosition
2026 Iris: Expressive Traffic Analysis for the Modern Internet
Thea Rossman, Diana Qing, Gerry Wan, Zakir Durumeric
NSDI1
2025 Internet Connection Splitting: What's Old is New Again
Gina Yuan, Thea Rossman, Keith Winstein
USENIX ATC2
2022 Tighten rust's belt: shrinking embedded Rust binaries
abstract
Rust is a promising programming language for embedded software, providing low-level primitives and performance similar to C/C++ alongside type safety, memory safety, and modern high-level language features. We find naive use of Rust leads to binaries much larger than their C equivalents. For flash-constrained embedded microcontrollers, this is prohibitive. We find four major causes of this growth: monomorphization, inefficient derivations, implicit data structures, and missing compiler optimizations. We present a set of embedded Rust programming principles which reduce Rust binary sizes. We apply these principles to an industrial Rust firmware application, reducing size by 76kB (19%), and an open source Rust OS kernel binary, reducing size by 23kB (26%). We explore compiler optimizations that could further shrink embedded Rust.
Hudson Ayers, Evan Laufer, Paul Mure, Jaehyeon Park, Eduardo Rodelo, Thea Rossman, Andrey Pronin, Philip Alexander Levis, Johnathan Van Why
LCTES6