Khoa Luu Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Federal Grant PI High Impact

Assistant Professor

University of Arkansas at Fayetteville

faculty

27 h-index 244 pubs 3,353 cited

Research Areas

Advanced Neural Network Applications Medical Imaging Techniques and Applications Computer Graphics and Visualization Techniques 2D Materials and Applications Metal and Thin Film Mechanics Behavioral and Psychological Studies Health and Medical Research Impacts Artificial Intelligence in Medicine

Links

ORCID Lab Website

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OverviewAI-generated summary

Khoa Luu is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Arkansas, Fayetteville, where he directs the Computer Vision and Image Understanding (CVIU) Lab. His research interests lie in the application of artificial intelligence and deep learning to various domains, including biometrics, medical imaging, and material identification. Luu has published extensively in these areas, with a focus on developing advanced algorithms for tasks such as facial recognition, micro-expression analysis, and action recognition.

His work has been supported by significant federal funding. He has served as Principal Investigator (PI) on multiple National Science Foundation (NSF) grants totaling over $2 million, including projects focused on AI systems for arthropod identification, large-scale multi-modality learning for tobacco addiction analytics, and addressing hallucinations in trustworthy multi-modality learning. He has also been a Co-PI on an NSF NRT grant for quantum materials education and an NSF MRI grant for thin film deposition equipment.

Luu's scholarly contributions are reflected in his h-index of 27 and over 3,300 citations across more than 240 publications. He holds leadership roles in the academic community, serving as an Associate Editor for IEEE Access Journal and Multimedia Tools and Applications, and as an Area Chair for major conferences like CVPR and NeurIPS. His collaborations include researchers from the University of Arkansas, such as Xuan-Bac Nguyen, Pha Nguyen, and Han-Seok Seo.

Metrics

h-index: 27
Publications: 244
Citations: 3,353

Selected Publications

COBRA: A Continual Learning Approach to Vision-Brain Understanding (2026) DOI
DEGA: Dynamic Entropy Guided Adaptation (2025) DOI
QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery (2025) DOI
QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks (2025) DOI
Diffusion-inspired quantum noise mitigation in parameterized quantum circuits (2025) DOI
Hybrid Quantum Tabu Search for Solving the Vehicle Routing Problem (2024) DOI
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars (2024) DOI
Depth Perspective-Aware Multiple Object Tracking (2024) DOI
Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding (2024) DOI
Quantum visual feature encoding revisited (2024) DOI
React: recognize every action everywhere all at once (2024) DOI
Video-Based Autism Detection with Deep Learning (2024) DOI
Multi-camera multi-object tracking on the move via single-stage global association approach (2024) DOI
CapsNet for medical image segmentation (2024) DOI
SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition (2023) DOI