Developing novel computationally efficient computer vision algorithms for visual understanding, forensic analysis, real/fake image/video detection, and AI-assisted healthcare

Research Focus Areas

  • Perceptual Understanding from Images/Videos
  • Efficient Object Detection
  • Tracking & Trajectory Prediction
  • Image & Video Segmentation
  • Healthcare AI
  • Visual Change Detection & Analysis
  • Image Forensics & Media Provenance
  • Face Recognition
  • Foundation Models for Medical Vision
  • Multimodal Learning for Clinical Decision Support
  • Brain and Eye Imaging Analysis
  • AI for Neurodegenerative and Neurodevelopmental Disorders

Research Focus Group Members

This research group forms the Lehigh Computer Vision Group (LCVG) conducting basic and applied research on building robust and efficient AI systems that can perceive and reason about the visual world. Ranging from automation of traditional human tasks such as driving to the upcoming problems on the rise in misinformation, our research group leads vision research to solve complex visual recognition problems for real-world applications. From low-level visual understanding to high level learning tasks, our projects contribute innovative solutions to various facets of vision and learning-based research with additional focus on efficiency, robustness and explainability.

Recent awards & accomplishments
Lifang He

Mooi Choo Chuah & Aparna Bharti

  • PITA award 2024, (Chuah & Bharti): Mobile Flx Bot Robot for More Flexible and Robust Industrial Inspection
  • PITA award 2025 (Bharati): Monitoring Health and Well-being through Videos on Edge Devices
    Qualcomm Awards 2024, 2025 (Chuah) 

Maryam Rahnemoonfar

  • PFI award (2025) PFI (MCA): Smart Disaster Response: Leveraging Big Data, Autonomous Systems, and Physics-Informed Models for Rapid Disaster Recovery, Amount: $458,784.00
  • 2024 NSF award (amount $999,664.00) with NCAT
    Excellence in Research: Mutlimodal Geospatial and Remote Sensing Data Fusion for Flood Mapping and Damage Assessment