most citedCybersecurity-Focused Anomaly Detection in Connected Autonomous Vehicles Using Machine Learning

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY2025

A Bilevel Optimization Framework for Adversarial Control of Gas Pipeline Operations

Tejaswini Sanjay Katale, Lu Gao, Yunpeng Zhang +1

Cyberattacks on pipeline operational technology systems pose growing risks to energy infrastructure. This study develops a physics-informed simulation and optimization framework fo…

cs.AI2025

Text-to-Layout: A Generative Workflow for Drafting Architectural Floor Plans Using LLMs

Jayakrishna Duggempudi, Lu Gao, Ahmed Senouci +2

This paper presents the development of an AI-powered workflow that uses Large Language Models (LLMs) to assist in drafting schematic architectural floor plans from natural language…

cs.LG20253 cited

Cybersecurity-Focused Anomaly Detection in Connected Autonomous Vehicles Using Machine Learning

Prathyush Kumar Reddy Lebaku, Lu Gao, Yunpeng Zhang +3

Anomaly detection in connected autonomous vehicles (CAVs) is crucial for maintaining safe and reliable transportation networks, as CAVs can be susceptible to sensor malfunctions, c…

cs.SE2025

Large Language Model-Driven Code Compliance Checking in Building Information Modeling

Soumya Madireddy, Lu Gao, Zia Din +4

This research addresses the time-consuming and error-prone nature of manual code compliance checking in Building Information Modeling (BIM) by introducing a Large Language Model (L…

cs.CR2025

Exploring Traffic Simulation and Cybersecurity Strategies Using Large Language Models

Lu Gao, Yongxin Liu, Hongyun Chen +3

Intelligent Transportation Systems (ITS) are increasingly vulnerable to sophisticated cyberattacks due to their complex, interconnected nature. Ensuring the cybersecurity of these…