Hairong Qi
Gonzalez Family Professor & Lab Director
Computer vision & machine learning · Collaborative signal & information processing · Hyperspectral image analysis
People
The lab
AICIP is a compact group: one director, a focused cohort of graduate students, and an alumni network built over two decades.
Director
Current members
Interested in joining? See how to get involved.
Bryce Bible
PhD Student, Computer Science
Multimodal learning & fusion · Computer vision · VR & assistive AI for health
Weisheng Tang
Postdoctoral Research Associate
Training dynamics · Remote sensing · Multimodal biomedical data
Landon Harris
PhD Student, Electrical Engineering & Computer Science
Reinforcement learning · Learning dynamics & diffusion · Sensor fusion
Andrei Cozma
PhD Student, Electrical Engineering & Computer Science
Reinforcement learning · Koopman operator methods · Self-supervised learning
Shah Md Nehal Hasnaeen
PhD Student, Bredesen Center
Machine learning · Multimodal fusion · RF & electromagnetic sensing
Hameed Ijadunola
Graduate Student
Representation learning · Vision–language models
Alumni
Doctoral and master's graduates of the lab. Dissertation titles are drawn from university records; current positions are listed only where recently verified. Corrections welcome.
2026
- Fanqi Wang PhD
“Selective Predictive Training and Structured Predictability in Neural Training Dynamics”
-
“Learning from What's Missing: Masked Approaches for Robust and Interpretable Deep Models”
Machine Learning Engineer, Amazon
- Maofeng Tang PhD
“Advancing Self-Supervised Visual Representation Learning: From Multi-Scale Consistency to Disentangled Generative Models”
2024
- Coby White MS
“Blind Source Separation using Dynamic Mode Decomposition”
2023
- Chengcheng Li PhD
“Toward Generating Efficient Deep Neural Networks”
- Fabian Fallas-Moya PhD
“Object Detection Models with Limited or Small Labeled Datasets”
Faculty, Universidad de Costa Rica
2022
- Razieh Kaviani Baghbaderani PhD
“Learning with Limited Labeled Data for Image and Video Understanding”
Samsung
- Taher Naderi PhD
“Depth Estimation Using 2D RGB Images”
2021
- Michael Han MS (project)
“Multi-Threaded Real-Time Data Fusion of Visual Object and Radiation Tracking”
- Ramin Nabati PhD
“Sensor Fusion for Object Detection and Tracking in Autonomous Vehicles”
Ford
2019
- Alireza Rahimpour PhD
“Attention Mechanism for Recognition in Computer Vision”
Ford
- Chengyong Jiao MS
- Yang Song PhD
“Cross-Domain Image Transformation and Generation by Deep Learning”
Apple
2018
- Elliot Greenlee MS
“Real Time Fusion of Radioisotope Direction Estimation and Visual Object Tracking”
- Liu Liu PhD
“Binary Representation Learning for Large Scale Visual Content”
Apple
- Zhifei Zhang PhD
“Conditional Image Synthesis by Generative Adversarial Modeling”
Adobe
2017
- Ali Taalimi PhD
“Learning Multimodal Structures in Computer Vision”
Google
- Andrew August MS (project)
“Scene Classification in Earth-Surface Imagery”
- Ying Qu PhD
“Hyperspectral Image Analysis through Unsupervised Deep Learning”
Postdoctoral researcher, UT Knoxville
2016
- Austin Albright PhD
“A Quantitative Measurement of Mono-Componentness for Time-Frequency Analysis”
Oak Ridge National Laboratory
- Rui Guo PhD
“Face Centered Image Analysis Using Saliency and Deep Learning based Techniques”
Intuitive
- Yang Zhang MS
“Scheduling for Timely Passenger Delivery in a Large Scale Ride Sharing System”
2015
- Shuangjiang Li PhD
“Compressed Sensing in Resource-Constrained Environments: From Sensing Mechanism Design to Recovery Algorithms”
Netskope
- Wei Wang PhD
“Exploiting Cross Domain Relationships for Target Recognition”
Amazon
2014
- Bruce A. Johnson PhD
“Computing Approximate Solutions to the Art Gallery Problem and Watchman Route Problem by Means of Photon Mapping”
Naval Surface Warfare Center
- Jiajia Luo PhD
“Feature Extraction and Recognition for Human Action Recognition”
Amazon
- Zhibo Wang PhD
“Barrier Coverage in Wireless Sensor Networks”
Zhejiang University
2013
- Li He PhD
“Bayesian Dictionary Learning for Single and Coupled Feature Spaces”
KLA-Tencor
2012
- Bryan Bodkin MS
“Real-Time Mobile Stereo Vision”
- Daniel Martinez Capilla MS
“Sign Language Translator Using Microsoft Kinect”
- Shravani Yerabati MS (project)
“Hand Gesture Recognition — A Performance Comparison”
2011
- Allison Higginbotham MS
- Mahmut Karakaya PhD
“Collaborative Solutions to Visual Sensor Networks”
Kennesaw State University
- Yang Bai PhD
“Feature-based Image Comparison and Its Application in Wireless Visual Sensor Networks”
Digimarc
2010
- Pei Yu MS
- Sangwoo Moon PhD
“A Novel Hybrid Dimensionality Reduction Method Using Support Vector Machines and Independent Component Analysis”
Microsoft
2009
- Dayu Yang PhD
“An Effective Approach for Nonparametric Quickest Detection and Its Decentralized Realization”
- Harika Tandra MS
“Automated System to Debug Under-performing Network Flows in Wide Area Networks”
2008
- Ying Sun MS
“Dynamic Target Classification in Wireless Sensor Networks”
2007
- Haritha Kolli MS
“Study of Interaction Between Mexican Free-tailed Bats and Moths”
- Lidan Miao PhD
“Computationally-efficient Mixed Pixel Decomposition Using Constrained Optimizations”
Microsoft
- Ortal Arazi PhD
“Self-certified Public Key Cryptographic Methodologies for Resource-constrained Wireless Sensor Networks”
- Raghul Gunasekarn MS
“A Cross-layer Routing Protocol (XLRP) for Wireless Sensor Networks”
2006
- Cheng Qian MS
“A Distributed Solution for Visual Sensor Networks to Detect Targets in Crowds”
- Chris Beall MS
“Distributed Self-Deployment in Visual Sensor Networks”
- Hongtao Du PhD
“Efficient Image Processing in Resource-Constrained Visual Sensor Networks”
Memsic
- Lu Zhang MS
“Automatic Image Based Time Varying 3D Feature Extraction and Tracking”
2005
- Aruna Raghavan MS
“Study of Individual and Group Behavior of Brazilian Free-Tailed Bats and Dynamic Frame Bat Counting Using Real Time Infrared Video”
- Balasubramanian Lakshminarayanan MS
“Automatic Target Recognition of Civilian Targets Using Data Fusion”
- Gaurav Baone MS
“Development of Demosaicking Techniques for Multi-Spectral Imaging Using Mosaic Focal Plane Arrays”
- Sankar Venkatraman MS
“Automated Analysis of Fluorescent Microscopic Images to Identify Protein-protein Interactions”
- Yingyue Xu PhD
“Energy Efficient Designs for Collaborative Signal and Information Processing in Wireless Sensor Networks”
Rockwell-Collins
2004
- Olawoye Oyeyele MS
“A Robust Node Selection Strategy for Lifetime Extension in Wireless Sensor Networks”
- Xiaoling Wang PhD
“High Accuracy Distributed Target Detection and Classification in Sensor Networks Based on Mobile Agent Framework”
Intel
- Yang Liu MS
“The Design of MAC Protocols for Energy Efficiency and QoS Provision in Wireless Sensor Networks”
2003
- Phani Teja Kuruganti MS
“Development of Mobile Agent Framework in Wireless Sensor Networks for Multi-Sensor Collaborative Processing”
- Xuesong Ma MS (project)
“Evaluation of Different Routing Protocols in Ad Hoc Networks”
2001
- Yuxin Tian MS
“Target Detection and Classification Using Seismic Signal Processing in Unattended Ground Sensor Systems”