The Cyber Initiative has created a working group for those interested in research on Artificial Intelligence and Machine Learning or the applications of those technologies to research problems in other domains. The working group meets bi-weekly.
This page contains a list of researchers at UA who have interests in Artificial Intelligence and/or Machine Learning. Below is the list of researchers affiliated with the AI/ML Working Group. To become affiliated with the AI/ML efforts within the Cyber Initiative and have your information added to this list, please complete the online registration form.
For questions or more information, please contact Jeffrey Carver.
Currently Affiliated Members
| Name | Title | Department/Unit | Summary of AI/ML Research Interests | Application Domains |
| David L. Albright | Hill Crest Endowed Chair | School of Social Work | Application of AI/ML to behavioral healthcare | Healthcare |
| Brendan Ames | Assistant Professor | Mathematics | Theoretical analysis of model problems for ML and optimization algorithms for AI/ML | Cluster analysis, Classification; Image and Signal Processing |
| Travis Atkison | Associate Professor | Computer Science | AI/ML for multiple prediction and identification problems | Cyber Security; Transportation Infrastructure; Image Analysis; Information Retrieval; Software Engineering |
| Marco Bonizzoni | Associate Professor | Chemistry & Biochemistry | ML for pattern recognition in chemical analysis | Analytical Chemistry |
| Brian C. Britt | Associate Professor | Advertising & Public Relations | ||
| Rebecca K. Britt | Associate Professor | Journalism & Creative Media | Network analysis, extracting and analyzing data sets and using text analysis and unsupervised topic modeling | Healthcare |
| Mark Cheng | Professor | Electrical & Computer Engineering | AL/ML algorithms for wearable sensors and IoT (internet of things) applications | Wearable Sensors; Biomedical Microdevices, IoT Sensing |
| Yuanyuan Chen | Assistant Professor | Information Systems, Statistics and Management Science | Data sharing/ownership issues with AI development and use | City Management; Automatic Cars |
| Stephen Clipper | Assistant Professor | Criminology and Criminal Justice | AI/ML for criminal justice process decision-making | Pretrial Release; Sexually-Based Offense Recidivism |
| Sagy Cohen | Associate Professor | Geography | Developing ML models for hydrological applications | Hydrology; Geomorphology; Remote Sensing |
| Eric Courchesne | Geospatial Services Manager | Geography | AI/ML for road planning to make communities more equitable, healthier, and safer | Community Planning |
| Christian Cousin | Assistant Professor | Mechanical Engineering | ML for estimation of dynamics in closed-loop adaptive control of robotics | Human-robot Interaction; Robotics; Exoskeletons |
| Andrew Raffo Dewar | Professor | Interdisciplinary Arts | Interested in applying AI to non-linear decision-making and sonic interaction for real-time music making | Music |
| Joshua Eyer | Associate Research Professional | Alabama Life Research Institute | AI/ML for sexual and gender minority health, mental health, behavioral health, and healthcare systems | Healthcare |
| Nickolas Freeman | Associate Professor | Information Systems, Statistics and Management Science | ML for detecting sex trafficking activity | Sex Trafficking |
| Sergei Gleyzer | Assistant Professor | Physics | ML for large-scale data in high-energy physics and astrophysics | High-Energy Particle Physics; Astrophysics; Quantum Machine Learning |
| Jaiqi Gong | Associate Professor | Computer Science | Neural Architecture Search, Optimal Transport Theory, Deep Reinforcement Learning, Human-Centered AI | Smart and Connected Health; AI in Education; Cyber-Physical Systems; Internet of Things; Water-Transportation-Health Nexus |
| Jeff Gray | Professor | Computer Science, Director of Randall Research Scholars | Interdisciplinary collaboration for faculty seeking Randall Research Scholars in ML/AI | N/A |
| Sevgi Zubeyde Gurbuz | Assistant Professor | Electrical & Computer Engineering | AI/ML enabled radar systems and fully-adaptive, physics-aware ML algorithms for multi-modal human cyber physical systems | RF Sensing; American Sign Language; Health; Automotive Sensing |
| Jiaze He (Jason) | Assistant Professor | Aerospace Engineering & Mechanics | Deep learning to address the inverse problem of ultrasonic scanning and reconstruction | Medical Imaging |
| Fei Hu | Professor | Electrical & Computer Engineering | AI/ML for advanced wireless networks and cyber security | Wireless Networks; Cyber Security |
| Erik Johnson | Assistant Professor | Economics | AI/ML to analyze cities and buildings | Urban Economics; Real Estate |
| Ryan Johnson | Postdoctoral Researcher | Alabama Water Institute | AI/ML to support water resource operations and management | Water Management; Hydrology |
| Eyun-Jung Ki | Professor | Advertising & Public Relations | AI/ML for emotional wellbeing mobile apps | Healthcare; Emotional Wellbeing |
| Margaret Kim | Associate Professor | Electrical & Computer Engineering | AI/ML for photonics/electronics device design, Imaging and sensing, nondestructive testing application | LIDAR; THz Imaging; Photonic/electronic Device Design; Underwater Imaging |
| Jiyoung Lee | Assistant Professor | Journalism & Creative Media | How AI is used to manipulate public opinion, reinforce bias, or inform decision-making | Mis/disinformation; Media Effects; Social Media; Health Behaviors |
| Myoungkyu Lee | Assistant Professor | Aerospace Engineering & Mechanics | AI/ML for understanding the physics of turbulent flows with reduced order representation. AI/ML for operator regression in partial differential equations | Fluid dynamics, Heat transfer |
| Dawen Li | Professor | Electrical & Computer Engineering | AI/ML to enhance yield and productivity in manufacturing of thin-film solar cells and modules | Solar Cells |
| Lin Li | Associate Professor | Metallurgical and Materials Engineering | Computational material and mechanics and data-driven models in advanced material development and manufacturing | Multicomponent/Multiphase Material Design; Material Mechanics |
| Abhay Lidbe | Associate Research Engineer | Alabama Transportation Institute | ML for transportation data | Transportation |
| Jun Liu | Assistant Professor | Civil, Construction, and Environmental Engineering | ML and Deep Learning to understand transportation systems, detect objects in traffic videos, and prediction/explanation of relationships | Transportation |
| Nathan Loewen | Associate Professor | Religious Studies | Natural language processing to quantitatively analyze trends and gaps in philosophy of religion scholarship | Religion |
| Steven MacCall | Associate Professor | School of Library & Information Science | ML for feature extraction from digital texts, videos, and still image collections for semantic indexing | Cultural Heritage |
| Volodymyr Melnykov | Professor | Information Systems, Statistics and Management Science | Developing model-based clustering methods for categorical sequences, time series, networks, and text data | Classification; Cluster Analysis; Semi-supervised Clustering; Visualization |
| Kasra Momeni | Associate Professor | Mechanical Engineering | AI/ML for materials discovery and design | 2D Materials |
| Jewoong Moon | Assistant Professor | Instructional Technology | AI/ML to build evidence-based learning assessment and adaptive learning system architecture | Education |
| Sameer B. Mulani | Associate Professor | Aerospace Engineering & Mechanics | AI/ML for optimization and uncertainty quantification of multidisciplinary systems, especially aircraft systems | Aircraft Systems |
| Hai-Dang Nguyen | Assistant Professor | Mathematics | Mathematical analysis of ML models, stochastic approximation and their applications to optimization algorithms for AI/ML, stochastic control, Markov decision processes | Reinforcement Learning; Classification; Clustering; Networked Systems; Consensus; Mean-field Systems |
| Lina Pu | Assistant Professor | Computer Science | AL/ML in IoT, including reinforcement learning assisted network scheduling and edge computing for IoT. | IoT; Computer Vision for Smart Construction |
| Xinwu Qian | Assistant Professor | Civil, Construction, and Environmental Engineering | ML for traffic state prediction and system operation of shared mobility services | Transportation; Traffic; Autmotive |
| Mizanur Rahman | Assistant Professor | Civil, Construction, and Environmental Engineering | AI/ML predictive analytics for transportation-related applications, such as automated vehicle perception, traffic behavior, and transportation cyber security | Automated/Connected Vehicles; Driver Behavior; Cyber Security |
| Edward Sazonov | Professor | Electrical & Computer Engineering | AI/ML in behavioral health informatics | Healthcare; Health Informatics; Wearable Sensors |
| Qin Wang | Associate Professor | Information Systems, Statistics and Management Science | Dimensionality reduction for big data through statistical learning approaches | Public Health; Neuroimaging; Healthcare |
| Jeri E. Wieringa | Assistant Professor | Religious Studies | Natural language processing and unsupervised classification for exploring historical documents at scale and tracking shifts in historical discourse | History; Religious Studies; Text Technologies |
| Hwan-Sik Yoon | Associate Professor | Mechanical Engineering | ML for automotive and transportation control systems | Automotive Engineering; Transportation Systems Engineering |
| Shan Zhao | Professor | Mathematics | AI/ML for biomolecular modeling, protein-protein interaction, and protein ligand docking | Molecular Biology; Biophysics |
| Xuwen Zhu | Assistant Professor | Information Systems, Statistics and Management Science | Unsupervised learning of categorical sequences, time series, tensor, and text data; Predictive modeling | Transportation; Mass spectrometry; Healthcare Analytics; Social Science; Education |
