VLDB 2026 Research / reviewers in the wild / expert
S. Janardhanan
dblp:87/2020
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Electronic design automation · 100% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation
circuit simulation |
0.2 | 1 | 2013 | Piece-wise Quasi-linear Approximation for Nonlinear Model Reduction · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2013 |
Electronic design automation › circuit simulation
model order reduction |
0.2 | 1 | 2013 | Piece-wise Quasi-linear Approximation for Nonlinear Model Reduction · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2013 |
Electronic design automation › circuit simulation › model order reduction
nonlinear model reduction |
0.2 | 1 | 2013 | Piece-wise Quasi-linear Approximation for Nonlinear Model Reduction · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2013 |
Mathematical optimization
approximation methods |
0.0 | 1 | 2013 | Piece-wise Quasi-linear Approximation for Nonlinear Model Reduction · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2013 |
Methods — techniques the papers use, named apart from their topics
trajectory piece-wise quasi-linear method · 0.3quasi-linear formulation · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Piece-wise Quasi-linear Approximation for Nonlinear Model ReductionabstractThe trajectory piece-wise linear (TPWL) method is a popular technique for nonlinear model order reduction (MOR). Though widely studied, it has primarily been restricted to applications modeled by nonlinear systems with linear input operators. This paper is an effort to bridge this gap. We illustrate problems in the TPWL method in creating reduced order models for nonlinear systems with nonlinear input operators. We also propose a solution based on a quasi-linear formulation of the nonlinear system at approximation points. This results in a method for nonlinear MOR, called the trajectory piece-wise quasi-linear (TPWQ) method. TPWQ is formulated, numerically validated and a new technique to reduce the computational costs associated with simulating the quasi-linear systems is also demonstrated. Shahkar Ahmad Nahvi, Mashuq Un Nabi, S. Janardhanan |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 3 |
| 2004 | Simulation, Design and Practical Implementation of a Mobile Wireless Autonomous Surveillance System
T. C. Manjunath, P. S. Shingare, S. Janardhanan |
ICINCO (2) | 3 |