Demo Data from SIGIR 2026 / reviewers in the wild / expert
Pranav Srinivasan
dblp:204/0192
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 3 · 1 first-author · 3 since 2021Systems, architecture and hardware · 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.
| Software engineering, system software, and programming languages
1 paper |
Program verification · 91% Programming languages and type systems · 9% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program verification › theorem proving
interactive proof |
0.8 | 1 | 2024 | Verus: A Practical Foundation for Systems Verification · SOSP 2024 |
Program verification › proof assistants
proof automation |
0.8 | 1 | 2024 | Verus: A Practical Foundation for Systems Verification · SOSP 2024 |
Program verification
system verification |
0.8 | 1 | 2024 | Verus: A Practical Foundation for Systems Verification · SOSP 2024 |
Methods — techniques the papers use, named apart from their topics
formal verification · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | TäKōFormal: Enabling Robust Software for Programmable Memory Hierarchies
Pranav Srinivasan, Manos Kapritsos, Yatin A. Manerkar |
ISCA | 1 |
| 2024 | Verus: A Practical Foundation for Systems VerificationabstractFormal verification is a promising approach to eliminate bugs at compile time, before they ship. Indeed, our community has verified a wide variety of system software. However, much of this success has required heroic developer effort, relied on bespoke logics for individual domains, or sacrificed expressiveness for powerful proof automation. Andrea Lattuada 0001, Travis Hance, Jay Bosamiya, Matthias Brun 0002, Chanhee Cho, Hayley LeBlanc, Pranav Srinivasan, Reto Achermann, Tej Chajed, Chris Hawblitzel, Jon Howell, Jacob R. Lorch, Oded Padon, Bryan Parno |
SOSP | 7 |
| 2021 | A Defense-Inspired Benchmark SuiteabstractThis work previews the MilSpec suite, a diverse collection of benchmarks targeting heterogeneous embedded/edge systems. These end-to-end and kernel-level benchmarks are inspired by defense-related applications and applicable to the broader system design space. They exercise a wide range of computational capabilities, such as signal processing, image processing/computer vision, and matrix-based computation, which are particularly relevant for modern embedded applications that must process large amounts of data at the edge. Pete Ehrett, Nathan Block, Bing Schaefer, Adrian Berding, John Paul Koenig, Pranav Srinivasan, Valeria Bertacco, Todd M. Austin |
ISPASS | 6 |