10/14/2025 04:37:36 PMarticleUNT hosted its third annual University Research Day on October 2nd, gathering hundreds of faculty and student researchers to showcase cross-disciplinary work. Among the participants were more than 30 students from the College of Information, who were selected to present their research at the event, demonstrating a notable representation of the college’s investment in student engagement and scholarly activity. The day featured a mix of poster sessions and panel discussions. The morning panel on “Applied AI & Data Science” featured speakers from various UNT departments, including the College of Information’s Drs. Mark Albert and Junhua Ding. The conversation explored both the opportunities and challenges of AI adoption in sectors such as healthcare and legal access, and panelists discussed how they use AI in their roles. The afternoon panel focused on the theme “Better Together — Advancing Research through UNT & UNT Health Collaboration,” announcing new student funding tracks that facilitate interdisciplinary cooperation across UNT’s campuses and with UNT Health. In the poster sessions, hundreds of student and faculty projects drew attention. Themes ranged from AI applications (such as crowd counting, privacy risk mitigation, and cyber threat detection) to environmental science and biomedical innovation. The student showcase highlighted several standout projects, including Evaluating Large Language Models in Detection of Social Media Health Misinformation, The Collaborative Impact of AI Research in Education, and Enabling Federated Learning for Object Detection in Connected Autonomous Driving. Vice President for Research Pamela Padilla framed the day as central to UNT’s mission: “Research is a creative endeavor that leads to new discoveries, solutions for societal challenges, development of new and innovative technologies, and prepares the next generation of leaders.” UNT President Harrison Keller added that seeing the breadth of research underway across campus was “inspiring and exciting.” For students from the College of Information, the event offered more than visibility; it was an opportunity to refine their ability to communicate complex ideas to diverse audiences, connect with peers and mentors across disciplines, and place their work within the larger research ecosystem at UNT. Participating College of Information students and research posters include: Student Name Poster Title Abbie Teel The Collaborative Impact of AI Research in Education Ajith Kumar Dugyala Automated Knowledge Extraction from Scientific PDFs Using LLMs and Graph-Based Techniques Anirban Saha Anik Multi-Agent Retrieval-Augmented Framework for Evidence-Based Counterspeech Against Health Misinformation Baby Jahnavi Kovelamudi Chatbot for Medical Insight - Smart GenAI Clinical Assistant Bryan Anderson Enhancing Kalman Filter Resilience in Electric Vehicles: Cyber-Attack Mitigation with Adaptive Filtering and Anomaly Detection Connor Resetar Case Study of Merchants During Embargos Prior to the War of 1812 Elliott Wang Simulating Crisis-Driven Social Media Streams for Context-Aware Language Model Response Evaluation Faria Alam Quantifying Investment Risk Tolerance at Scale: A Machine Learning Approach Using FDC-UMAP on Global Survey Data Fengjiao Tu Automated Cognitive Presence Detection from MOOC Online Discussions Using Large Language Models Gowtham Vuppaladhadiam Chatbot for Medical insight- Smart GenAI Clinical Assistant Hripsime Mantecon Health Information-Seeking through the Lens of Information Science: Integration of a Mental Health Information-Seeking Model Jayanth Kaddipudi Metadata Quality Evaluation: Enhancing Semantic Accuracy Using Large Language Models K S M Tozammel Hossain Large Language Model Driven Healthcare Support for Rural Texas: Empowering Nurse Practitioners with AI-Based Decision Support Keerthana Srinivasan Mobile Augmented Reality Application (MARA) for Emergency Response and Building Evacuation Komala Subramanyam Cherukuri Enabling Federated Learning for Object Detection in Connected Autonomous Driving Lavanya Nidamanuri Enhancing Mental Health, Stress, and Anxiety Management using EEG Signals and Virtual Reality with Emotiv Melika Rostami Evaluating Large language Models in Detection of Social Media Health Misinformation Mutlu Mete Investigation of Optimal Time-Domain Features of EEG Signal Predict Outcomes of Depression Therapy Mutlu Mete Methodological comparison between traditional convolutional neural networks and Kolmogorov-Arnold Networks for EEG signal classification Nusrat Mary Social Influence of Contextual Transparency in Explainable Recommender Systems Raed Abdullah A Alqahtani Impact of AI-Driven Onboarding Programs on Employee Job Satisfaction and Retention Rahul Deevanapalli Artificial Intelligence in Motion: Revolutionizing Arm Function Assessment in Children with Arthrogryposis Multiplex Congenita Using SHAPE-UP Rahul Somabhai Chaudhary Conflicts prediction using news articles - An NLP/LLM/time series forecasting S M Saiful Islam Badhon Zero-day Network Intrusion Detection using One-class Support Vector Machine on Autoencoder-based Latent Representations Sai Prasanth Mantha Virtual Museum - Evolution of Humans and Universe Shamila Fathima Shaik Benchmarking Time Series Data Using Causal Inference Techniques for Air Quality Data in North Texas Shree Harshini Mamidala ReviewGuard: Detecting and Analyzing Irresponsible Peer Reviews in AI Conferences using LLM Srikanth Peethani Virtual Museum - Evaluation of Humans & Universe Sudeshana Paramita Ghose Impact of Information Behavior in Shaping Successful Leadership Style: A Comparative Analysis of Hotel, Restaurant, and Club Managers Teja Babu Mandaloju Leveraging Machine Learning for Early Detection of College Student Mental Health Problems Xiaoying Song Dynamic Fusion of Large Language Models for Crisis Communication Yonas Lemma Dave: Detection of Anomaly in Virtual Environment View more photos from University Research Day 2025