Research and Scholarship

Computational Social Network Analysis by Dr. Yi Li

My research focuses on social network analysis, algorithm design, and social data analytics.  I develop graph-based models and efficient algorithms to study network structures, information diffusion, and user interactions in online social networks. My research addresses problems such as influence maximization, misinformation containment, source localization, and cyberbullying detection, using techniques including graph optimization, network modeling, and graph neural networks.

Convolutional Neural Networks for Data Classification by Dr. Arun Kulkarni

My research interests include artificial intelligence, machine learning, deep learning, and computer vision.  My recent work focuses on fuzzy convolutional neural networks for tabular data classification, comparisons of CNNs and Vision Transformers for image classification, and hybrid deep learning models that combine handcrafted frequency-domain features with deep features.

Trustworthy Cyber-Physical Systems by Dr. Nary Subramanian

My research focuses on assessing and improving the trustworthiness of cyber-physical systems. In work with the Air Force Research Laboratory, I applied a Non-Functional Requirements (NFR) approach to examine system qualities that affect trustworthiness. My broader interests include software engineering, cybersecurity, and the application of AI to complex systems.

Cognitive Modeling Artificial Intelligence by Dr. Arthur Williams

My research combined cognitively inspired working memory models with reinforcement learning to investigate how artificial agents can retain and use relevant information for learning and decision-making.  My research has since expanded to multi-agent reinforcement learning, large language models (LLMs), vision-language models (VLMs), and embodied AI. Prior to joining UT Tyler, I conducted postdoctoral research at Lawrence Livermore National Laboratory’s Center for Applied Scientific Computing. My current research explores how principles of cognition, memory, and reasoning can be integrated into AI systems to create more adaptive and capable intelligent agents.

Multimedia Database Management Systems by Dr. Leonard Brown

My research focuses on image and information retrieval from Multimedia Database Systems.  I study the effect of image descriptions made from editing operations on the problems of similarity search and matching.  I also study multidimensional indexing techniques as well as developing virtual reality training tools for medical personnel.