activity
20192022
most citedApproximation Techniques for Stochastic Analysis of Biological Systems

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.QM2022

BioSimulators: a central registry of simulation engines and services for recommending specific tools

Bilal Shaikh, Lucian P. Smith, Dan Vasilescu +68

Computational models have great potential to accelerate bioscience, bioengineering, and medicine. However, it remains challenging to reproduce and reuse simulations, in part, becau…

cs.SE2020

Using Decision Diagrams to Compactly Represent the State Space for Explicit Model Checking

Hao Zheng, Andrew Price, Chris Myers

The enormous number of states reachable during explicit model checking is the main bottleneck for scalability. This paper presents approaches of using decision diagrams to represen…

cs.SE2020

Local State Space Analysis to Assist Partial Order Reduction

Hao Zheng, Yingying Zhang, Chris Myers

This paper presents an approach to more efficient partial order reduction for model checking concurrent systems. This approach utilizes a compositional reachability analysis to gen…

cs.LO2019

STAMINA: STochastic Approximate Model-checker for INfinite-state Analysis

Thakur Neupane, Chris J. Myers, Curtis Madsen +2

Stochastic model checking is a technique for analyzing systems that possess probabilistic characteristics. However, its scalability is limited as probabilistic models of real-world…

cs.ET20191 cited

Approximation Techniques for Stochastic Analysis of Biological Systems

Thakur Neupane, Zhen Zhang, Curtis Madsen +2

There has been an increasing demand for formal methods in the design process of safety-critical synthetic genetic circuits. Probabilistic model checking techniques have demonstrate…