Research Areas
Our interdisciplinary research teams work at the intersection of machine learning, computer vision, natural language processing, and AI safety to develop systems that advance autonomous driving, healthcare AI, and AI dependability.
Current Projects
XYZ-Drive: Vision-Language Fusion for Autonomous DrivingCompleted
A single vision-language model achieving 95% success rate on autonomous driving benchmarks, surpassing previous state-of-the-art by 15%.
View paperNovaDrive: Early Goal-Guided Multi-Scale FusionCompleted
A single-branch architecture that raises success rate to 84% and reduces collision frequency from 2.6% to 1.2%.
View paperPhysNav-DG: Robust VLM-Sensor FusionCompleted
A novel framework integrating classical sensor fusion with vision-language models for transparent navigation.
View paperCurrent Projects
Dementia Reminiscence Therapy with ECACompleted
An embodied conversational agent system delivering personalized reminiscence therapy for people with dementia.
View paperGenECA: Real-Time Multimodal Conversational AgentsCompleted
A general-purpose framework for real-time adaptive multimodal embodied conversational agents.
View paperTri-Modal Depression ClassificationCompleted
Integrating large language models into multimodal architecture for automated depression classification.
View paperCurrent Projects
DURA-CPS: Multi-Role Orchestration for AI AssuranceCompleted
A novel framework employing multi-role orchestration to automate the iterative assurance process for AI-powered cyber-physical systems.
View paperWebNav: Voice-Controlled Web NavigationCompleted
An intelligent agent for voice-controlled web navigation, improving accessibility for visually impaired users.
View paperCurrent Projects
CLIP-MG: Micro-Gesture RecognitionCompleted
A pose-guided semantics-aware CLIP-based architecture for micro-gesture recognition on the iMiGUE dataset.
View paperSemantic Web for UI Element AnnotationCompleted
Leveraging semantic web technologies to improve automated annotation of UI elements for better accessibility.
View paperResearch Highlights
Explore some of our most impactful recent research projects and publications.
Vision-language fusion for real-time autonomous driving, achieving 95% success rate and surpassing previous state-of-the-art by 15%.
Read the paperA personalized embodied conversational agent system delivering reminiscence therapy for people with dementia.
Read the paperMulti-role orchestration system for ensuring the safety and reliability of AI in cyber-physical systems.
Read the paper