406_khoaluu.jpg

Khoa Luu

Quantum Machine Learning Facial Micro-Expression Recognition Multi-Camera Multi-Object Tracking FMRI Vision-Brain Learning 2D-Quantum Material Recognition
University of Arkansas Computer Science

About

Dr. Luu is a faculty member, the Director of the Computer Vision and Image Understanding (CVIU) Lab, and Quantum AI Lab in the Department of Electrical Engineering and Computer Science at the University of Arkansas (UA), Fayetteville. He is a recipient of the prestigious NSF CAREER, NSF SCH, NSF DEB, NSF SBIR Phases 1-2 awards, and the National Academy of Inventors, University of Arkansas Chapter 2024. He is affiliated with the Center for Public Health and Technology at UA and the NSF MonARK Quantum Foundry. He serves as an Associate Editor of the IEEE Transactions on Quantum Engineering (TQE) and the Multimedia Tools and Applications Journal, Springer Nature. He also serves as the Area Chair in IEEE/CVF CVPR 2023-2025, NeurIPS 2024-2025, ICML 2025, WACV 2025, ICLR 2025-2026, AAAI 2026, and Quantum Week 2025. He was the Research Project Director at the Cylab Biometrics Center at Carnegie Mellon University (CMU), US. He led the team to develop successful AI frontier research and applications, including Generative AI Learning, Multi-modal Learning, Video Understanding, Quantum-Brain, 2D-Quantum Material Recognition, fMRI Vision-Brain Learning, AI-based Early Autism Detection, Facial Micro-Expression Recognition, Smart Insect Monitoring System, Face Recognition (Top Ranking in NIST Face Recognition Vendor Test in 2020), Multi-camera Multi-Object Tracking, Driver Monitoring System (DMS), Long-range Biometrics and Soft Biometrics Systems, Perception System for Autonomous Car Driving. He teaches Full-stack Deep Learning, Introduction to Artificial Intelligence (CSCE4613/5613), Computer Vision (CSCE5703), Image Processing (CSCE 5683), Algorithms (CSCE4133/5133), and Advanced Data Structures (CSCE4263) courses in the Electrical Engineering and Computer Science Department at the University of Arkansas, Fayetteville. His research interests focus on various topics, including Smart Health, Precision Agriculture, Quantum Machine Learning, Multi-Object Tracking, Human Behavior Understanding, Scene Understanding, Face Recognition, Domain Adaptation, Image and Video Processing, Deep Learning, and Compressed Sensing. He has received seven patents and three Best Paper Awards, and has co-authored over 120 papers in conferences, technical reports, and journals. He was the Technical Program Chair at the IEEE GreenTech Conference 2024 and a co-organizer and chair of the CVPR Precognition Workshop in 2019-2025, the MICCAI Workshop in 2019 and 2020, and the ICCV Workshop in 2021. He was a PC member of AAAI, ICPRAI in 2020, 2021, and 2022. He was a Vice-Chair of the Montreal Chapter of the IEEE Systems, Man, and Cybernetics Society in Canada from September 2009 to March 2011.

Research Performance Summary

257
Total Papers
5959
Total Citations
39
H-Index
2004-2026
Active Research Span

First Recorded Paper

Beyond Disentangled Representations: An Attentive Angular Distillation Approach to Large-scale Lightweight Age-Invariant Face Recognition

Year: 2004

Citations: 1

Venue: CoRR, abs

Latest Recorded Paper

COBRA: A Continual Learning Approach to Vision-Brain Understanding

Year: 2026

Citations: 0

Venue: International Journal of Computer Vision 134 (1)

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2026
1
2025
37
2024
39
2023
21
2022
20
2021
18
2020
16
2019
21
2018
13
2017
14
2016
16

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 83
Journal 26
Book 21

Top Coauthors

Luu Nguyen Duong

Research Impact by Period

2025-2026

Period Stats
Papers 38
Citations 131
Avg. Citations / Paper 3.4
H-Index 7

2020-2024

Period Stats
Papers 114
Citations 2371
Avg. Citations / Paper 20.8
H-Index 24

2015-2019

Period Stats
Papers 72
Citations 2554
Avg. Citations / Paper 35.5
H-Index 24

2010-2014

Period Stats
Papers 25
Citations 634
Avg. Citations / Paper 25.4
H-Index 11

2005-2009

Period Stats
Papers 7
Citations 268
Avg. Citations / Paper 38.3
H-Index 5

2000-2004

Period Stats
Papers 1
Citations 1
Avg. Citations / Paper 1
H-Index 1

Contact and Professional Links

Contact Information

khoaluu@uark.edu
4795754278

Detected Research Keywords

Group Activity Recognition Multiple Object Tracking Scene Graph Generation Age Invariant Face Invariant Face Recognition Unveil Human Faces Human Faces Their Faces Their Blackbox Their Blackbox Features Semantic Scene Understanding