Research
Logic and Algorithms for Software Verification.
Software is everywhere, but it can be buggy, unpredictable, and vulnerable to attacks. The goal of software verification is to ensure the reliability, security, and safety of software. In this research, we study automated algorithms for software verification, based model checking, computational logic, and satisfiability modulo theories (SMT).
Modeling and Verification of Autonomous Cyber-Physical Agents.
Autonomous cyber-physical agent systems, such as self-driving cars and drones, must meet strong safety requirements. The goal of this study is to develop techniques to model and verify these systems before actual implementation, which can avoid possible accidents during prototype testing.
Automated Analysis of Safety-Critical AI Software.
AI-based technologies such as deep neural networks are being applied to safety-critical applications, e.g., self-driving cars and air traffic control systems. The subject of this research is to develop new techniques to prove the safety requirements of AI-based systems, to prevent accidents or security problems caused by software errors.
Ongoing research
SMT-Based Model Checking for Signal Temporal Logic
This research focuses on developing a formal foundation and verification technique for signal temporal logic (STL), which specifies properties of continuous signals in hybrid systems. The goal is to enable robust bounded model checking of general STL properties, with correctness guarantees up to given bounds.
MH-SynchAADL
We define the MH-SynchAADL modeling language and verification tool for hierarchical multirate CPSs with advanced control programs, continuous behaviors, and imprecise local clocks.
Semantics and Analysis of PLC System
This research focuses on defining the behavior of the whole PLC behavior including the PLC ST, multitask, external environment, and communication features.
Utilization of UNSAT DB for Efficient Incremental Neural Network Verification
In this research, we aim to develop a framework that leverages "UNSAT" information from previous Branch-and-Bound (BaB)-based verification processes to improve the integration of the BaB technique with incremental verification. The proposed framework enables SOTA BaB-based verifiers to support incremental verification with minimal modifications while improving verification performance.
TLS Model-based Testing using Maude
We use model-based testing approach to test TLS libraries using Maude. By using Maude, we can generate more various and complicated test scenario automatically. We build an automated tool to test several TLS libraries.