Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-08
K
Ky Luu
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Federal Grant PI
High Impact
Assistant Professor
Also affiliated: U.S. National Science Foundation (2026); University of Arkansas System (2026); Parallel Quantum Solutions (United States) (2026)
2 h-index
18 pubs
10 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Ky Luu's research focuses on the application of artificial intelligence and machine learning techniques to address complex problems across various domains. Luu has served as Principal Investigator on multiple federal grants from the National Science Foundation (NSF), totaling over $2.4 million. These grants support projects such as using AI-powered non-lethal sampling for forest management and pollinator conservation, developing human brain models via quantum machine intelligence, and creating human-in-the-loop AI systems for identifying ground-dwelling arthropods.
Further funding secured by Luu includes an NSF grant for a large-scale multi-modality learning system to identify tobacco addiction and predictive analytics via social media, and a CAREER award focused on addressing hallucinations for trustworthy large-scale multi-modality learning. Luu's scholarly output includes publications on topics such as deep reinforcement learning in computer vision and medical imaging, and facial recognition technologies. Luu collaborates with Thanh-Dat Truong, Xuan-Bac Nguyen, Pha Nguyen, and Hoang-Quan Nguyen, all from the University of Arkansas at Fayetteville, with whom Luu has co-authored numerous publications.
Metrics
- h-index: 2
- Publications: 18
- Citations: 10
Positions
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Assistant Professor 2023–presentUniversity of Arkansas Department of Electrical Engineering and Computer Science ORCID
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Research Project Director 2016–2018Carnegie Mellon University ORCID
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Research Scientist/Postdoc 2011–2014Carnegie Mellon University ORCID
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Research Assistant 2009–2011Concordia University ORCID
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Research Assistant 2005–2008University of Science ORCID
Selected Publications
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BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding (2026)
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An advanced hybrid quantum tabu search approach to vehicle routing problems (2026)
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COBRA: A Continual Learning Approach to Vision-Brain Understanding (2026)
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MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning (2025)
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DEGA: Dynamic Entropy Guided Adaptation (2025)
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QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery (2025)
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QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks (2025)
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BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning (2025)
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HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation (2025)
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Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding (2025)
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Autoregressive Temporal Modeling for Advanced Tracking-by-Diffusion (2025)
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Diffusion-inspired quantum noise mitigation in parameterized quantum circuits (2025)
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LiGAR: LiDAR-Guided Hierarchical Transformer for Multi-Modal Group Activity Recognition (2025)
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SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition (2025)
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MEX: Memory-Efficient Approach to Referring Multi-Object Tracking (2024)
Federal Grants 5 $2,496,229 total
NSF
PI
Oct 2025 - Sep 2028
NSF
PI
Sep 2026 - Aug 2030
NSF
PI
Aug 2025 - Jul 2029
NSF
PI
Jul 2025 - Jun 2030
CAREER: Addressing Hallucinations for Trustworthy Large-scale Multi-Modality Learning
NSF
PI
Jun 2026 - May 2028
Collaborative Research: EAGER: Human Brain Modeling via Quantum Machine Intelligence
Collaboration Network
Top Collaborators
Ngan Le
University of Arkansas at Fayetteville
31 shared publications
In database
- Deep reinforcement learning in computer vision: a comprehensive survey
- Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
- Automatic Face Aging in Videos via Deep Reinforcement Learning
- Non-volume preserving-based fusion to group-level emotion recognition on crowd videos
- ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks
Showing 5 of 31 shared publications
Chi Nhan Duong
Longmont United Hospital (US)
20 shared publications
- Clusformer: A Transformer based Clustering Approach to Unsupervised Large-scale Face and Visual Landmark Recognition
- Automatic Face Aging in Videos via Deep Reinforcement Learning
- Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling
- Non-volume preserving-based fusion to group-level emotion recognition on crowd videos
- ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks
Showing 5 of 20 shared publications
Thanh-Dat Truong
University of Arkansas at Fayetteville
19 shared publications
In database
- Movement Analysis for Neurological and Musculoskeletal Disorders Using Graph Convolutional Neural Network
- Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding
- LIAAD: Lightweight attentive angular distillation for large-scale age-invariant face recognition
- EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring
- Self-Supervised Domain Adaptation in Crowd Counting
Showing 5 of 19 shared publications
Kha Gia Quach
Longmont United Hospital (US)
15 shared publications
- Automatic Face Aging in Videos via Deep Reinforcement Learning
- Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling
- Non-volume preserving-based fusion to group-level emotion recognition on crowd videos
- ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks
- Multi-camera multi-object tracking on the move via single-stage global association approach
Showing 5 of 15 shared publications
Pha Nguyen
University of Arkansas at Fayetteville
13 shared publications
In database
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- Multi-camera multi-object tracking on the move via single-stage global association approach
- Self-Supervised Domain Adaptation in Crowd Counting
- Sogar: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
Showing 5 of 13 shared publications
Xuan-Bac Nguyen
University of Arkansas at Fayetteville
11 shared publications
In database
- Clusformer: A Transformer based Clustering Approach to Unsupervised Large-scale Face and Visual Landmark Recognition
- Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding
- Video-Based Autism Detection with Deep Learning
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
- Diffusion-inspired quantum noise mitigation in parameterized quantum circuits
Showing 5 of 11 shared publications
Tien D. Bui
Concordia University (CA)
8 shared publications
- Clusformer: A Transformer based Clustering Approach to Unsupervised Large-scale Face and Visual Landmark Recognition
- Automatic Face Aging in Videos via Deep Reinforcement Learning
- Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling
- LIAAD: Lightweight attentive angular distillation for large-scale age-invariant face recognition
- Depth Perspective-Aware Multiple Object Tracking
Showing 5 of 8 shared publications
Naga Venkata Sai Raviteja Chappa
University of Arkansas at Fayetteville
7 shared publications
In database
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring
- SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
- React: recognize every action everywhere all at once
- HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos
Showing 5 of 7 shared publications
Hien Van Nguyen
6 shared publications
- Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
- Deep reinforcement learning in medical imaging: A literature review
- Enhance Portable Radiograph for Fast and High Accurate COVID-19 Monitoring
- Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing
- PairFlow: Enhancing Portable Chest X-Ray By Flow-Based Deformation For Covid-19 Diagnosing
Showing 5 of 6 shared publications
Page D. Dobbs
University at Albany, State University of New York
6 shared publications
In database
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- Sogar: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
- SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
- React: recognize every action everywhere all at once
- HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos
Showing 5 of 6 shared publications
Hoang-Quan Nguyen
University of Arkansas at Fayetteville
6 shared publications
In database
- Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding
- Quantum visual feature encoding revisited
- Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding
- Diffusion-inspired quantum noise mitigation in parameterized quantum circuits
- Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
Showing 5 of 6 shared publications
Hugh Churchill
Quantum Design (United States)
6 shared publications
In database
- Quantum visual feature encoding revisited
- Hybrid Quantum Tabu Search for Solving the Vehicle Routing Problem
- Diffusion-inspired quantum noise mitigation in parameterized quantum circuits
- Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
- Quantum Visual Feature Encoding Revisited
Showing 5 of 6 shared publications
Han‐Seok Seo
University of Arkansas at Fayetteville
5 shared publications
In database
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- Movement Analysis for Neurological and Musculoskeletal Disorders Using Graph Convolutional Neural Network
- Video-Based Autism Detection with Deep Learning
- Sogar: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
- SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
Marios Savvides
Carnegie Mellon University (US)
4 shared publications
- Deep reinforcement learning in computer vision: a comprehensive survey
- Active Contour Model in Deep Learning Era: A Revise and Review
- Learning from Longitudinal Face Demonstration—Where Tractable Deep Modeling Meets Inverse Reinforcement Learning
- Recurrent Level Set Networks for Instance Segmentation
Ibsa Jalata
University of Arkansas at Fayetteville
4 shared publications
In database
- Non-volume preserving-based fusion to group-level emotion recognition on crowd videos
- Movement Analysis for Neurological and Musculoskeletal Disorders Using Graph Convolutional Neural Network
- EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring
- MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices
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