UNT COI Summer research day is showing students presenting their research on a projector

Time & Location

Day at a Glance

Contact Us

Date: 24 July, 2026 (Friday)
Time:
9:00 AM to 3:30PM
Place:
K 150 UNT Discovery Park
Key Note Speech
Morning Presentations by Student 
Afternoon Presentations by Student 
UNT AI-Summer Research Program Presentations (Brochure)

 

Sharad Sharma profile pic

Dr. Sharad Sharma
Associate Dean of Research
Sinha Endowed Professor, Data Science
sharad.sharma@unt.edu

Celebrate the achievements of our summer researchers as they present their innovative projects and discoveries. Engage with students, faculty, and professionals across a variety of disciplines. Showcasing innovation, discovery, and student research excellence. Flyer: -  (image, PDF). Hosted in Collaboration With

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Research Sessions

Session 1: AI-Driven Digital Health: Digital Twins & Immersive Technologies
Session 2: Human-Centered AI: VR, AR, Health, Mobile, and Neural Interfaces
Session 3: AI, Human-Centered Computing, and Neuro Gaming
Session 4: UNT AI-Summer Research Program

Prize & Awards (Students)

1st Place
2nd place
3rd Place

Agenda (Brochure)

Agenda - Day:24thJuly
Timeslot Agenda
9:00am-9:15am Introductions: Dr. Sharad Sharma, Associate Dean of Research COI, UNT
9:15am - 9:30am Welcome: Aaron Roberts, Associate Vice President of Research and Innovation, UNT
9:30am -10:10am Keynote Talk: Dr. Vikas Sinha, Vice President of Engineering and Architecture at Broadcom
10:15am-11:15am

Session 1: AI-Driven Digital Health: Digital Twins & Immersive Technologies

Session Chair: Dr. Sharad Sharma/ Dana Thomas

11:15am-12:15am

Session 2: Human-Centered AI: Immersive Health, Mobile, and Neural Interfaces

Session Chair: Dr. Fred McMahan 

12:15am-1:15pm

Session 3: AI, Human-Centered Computing, and Neuro Gaming

Session Chair: Dr. Pretom Ovi 

1:15pm-2:00 pm Lunch
2:15pm-3:30pm

Session 4: UNT AI-Summer Research Program

Session Chair: Dr. Mark Albert 

3:30pm-3:45pm

Closing Remarks

Session 1: AI-Driven Digital Health: Digital Twins&Immersive Technologies  (10:15am-11:15am)
S. No Timeslot Title of the Talk
1. Maimuna Patwary MindYoga-XR Hospital: An AI-Driven Virtual University Hospital for Adaptive Mental Health, Yoga Therapy, and Immersive Behavioral Research
2. Gowtham Vuppaladhadiam Dataset Discovery and Knowledge Graph Expansion from Scientific Literature
3. Abhignya Jagathpally LLM-Based Multimodal Data Integration for Clinical Risk Prediction
4. Ananya Agarwal

Integrated Immersive XR Research Platform for Behavioral, Cognitive, and Human-Centered Studies

5. Kanishk Sharma

Physio Twin: AI-Driven Personal Health Digital Twin

6. Israt Afroz Mobile AR-Enabled Real-Time Diet Monitoring for Chronic Disease Management
Session 2: Human-Centered AI: VR,AR,Health, Mobile, and Neural Interfaces  (11:15am-12:15am)
S. No Timeslot Title of the Talk
1. Pranav Abishai Moses Immersive VR Health Adherence Simulator for Adult Medication Management
2. Tayiba Rahee StressLess: A Context-Engineered Dashboard for Reducing Cognitive Load in University Student Mental Health Services
3. Omar, Neil, Eric, Subha, & Harshith (TAMS) From Thought to Text: EEG-Based Brain–Computer Interface for Neural Decoding
4. Saiful Islam Badhon

Real-Time Workout Monitoring, Anomaly Detection, Emotion Detection, and time series analysis using Mobile Devices

5. Samiul Amin Rishat

Knowledge-Graph-Aware Federated Learning for Privacy-Preserving LLM Adaptation

6. Tareni Moorty, Soham Sharma, Raj Seth, Rohan Seth (TAMS, High School Team) NeuroWheel - Real-Time Brain-Controlled Assistive Vehicle Using Consumer EEG, Motor Imagery and Multi-Paradigm BCI 
Session 3: AI, Human-Centered Computing, and Neuro Gaming  (12:15am-1:15am)
S. No Timeslot Title of the Talk
1. Khawja Imran Masud LLM-based Causal Discovery from Scientific Literature
2. Tanzina Hossain  Beyond Boilerplate: Contextual Embeddings for Measuring Economic Change in MD&A Disclosures 
3. Arshiya Bajaj, Om Panemangalore, Soham Sharma, Bhav Point Cloud-Based Immersive Annotation and Visualization System  (High School Team)
4. Kathleen Dang

Gamification in Higher Education: The Impact of Bonus Point Incentives on Student Motivation

5. Aayush Pal, Aryan Shah (TAMS) 

Comparing Behavioral and Physiological Responses to Real vs. Virtual Opponents in the Split-or-Steal Game

6. Farhan Sharukh Hasan, Eric Liu

Large Language Models for Automated Fact-Checking Article Generation

7. Sreeja Kanuganti, Sawyer Alston, Yashaswini Sreenivasa Shetty Assessing and Improving LLM Spatiotemporal Reasoning for Synthesizing Crisis Situational Awareness Posts
LUNCH  (1:15am-2:00am)
S. No Timeslot Networking
 
Session 4:UNT AI-Summer Research Program Presentations (2:00PM-3:30PM)
  Title of the Talk
  1. Protocol-Aware Integration of Cardiac Organoid Data with LLM Agents
    */
    **Sriprajnav Koduri, Yunhe Feng, Adam Yang
  2. Automated AI-Based Scoring for Upper Limb Function in Children with Arthrogryposis Multiplex Congenita
    **Zuhair Siddiqui, Ishani Tamma,  *Archishman Sai Vemula, Yongni Zhang, Sindhu Siripurapu, Noemi Dahan-Oliel, Mark V. Albert
  3. EpiOmics-ID(Multi Omics Cancer): Training an AI Model to Identify Cancer Based on Provided Multi-Omics Data and Epigenetic Data
    */**Saathvik Syamsundar, Rajiv Azad
  4. AI based amorphous structure generation using diffusion model + GNN
    */**Ayush Kumar, Cuicui Zhang, Jincheng Du
  5. Telegram as an Early-Warning Signal for Conflict Forecasting
    **Minhaj Masuma, *Tara Pai, Medha Engala, Poli Nemkova
  6. Integrating Real-Time Context into Language Models for Dynamic Response Generation
    **Yashaswini Sreenivasa Shetty, *Sawyer Alston, Sreeja Kanuganti, Anirban Saha Anik, Xiaoying Song, Lingzi Hong
  7. Examining Dermatology Image Generation Capabilities of Generative AI Across Skin Tones
    */** Tevin Billingsley, Yunhe Feng
  8. GaitLens: Machine Learning for Smartphone-Based Gait Quality Assessment
    Audrey Asu , */**Jemin Sung, Sindhu Siripuraru, Madison Drenowatz, Rita Patterson, Mark V. Albert
  9. DyGraphTrans: A temporal graph representation learning framework for modeling disease progression from Electronic Health Records
    */**
    Pooja Lamsal, Tahmina Rahman, Serdar Bozdag
  10. Benchmarking Explainable AI Methods for PHQ-8 Depression Prediction
    *Nuzhat Tabassum, **Hiyab Wasyhun
  11. Metacognitive Signal Fidelity: A Framework for Evaluating Self-Monitoring in LLM Agents
    */
    **Koushik Reddy Sudireddy, Rishik Bogala, Poli Nemkova
  12. Automated Software Engineering with Large Language Models
    */*
    *Abhiram Makkapati, Junhua Ding
  13. Exploring the Abstention Ability of LLMs using Scientific Reasoning in Critical Fields
    **Landen Summers, *Haeseon Yoon, Yunhe Feng
  14. Vulnerabilities of ROS2 In Autonomous Systems
    **Omieibi Pollyn, *Samantha Gallardo, Cliff Whitworth, Kewei Sha
  15. FedPFT: Federated Prompt-Driven Feature Transformation for Non-IID Biomedical Image Classification
    */
    **Sai Raman, Jing Yuan
  16. TULSA: Tongue Ultrasound Learning through Self-Supervised Adaptation for Generalizable Speech Sound Classification
    Rohitha Aradhyula, */**Ansh Kapadia, Manasa Pochamaina, Mark V. Albert, Hedieh Hashemi Hosseinabad

People with a "*" will be the presenters.

StudentPresentations on 24thJuly (Accepted) 
S. No Timeslot Title of the Talk
1. Maimuna Patwary MindYoga-XR Hospital: An AI-Driven Virtual University Hospital for Adaptive Mental Health, Yoga Therapy, and Immersive Behavioral Research
2. Gowtham Vuppaladhadiam Dataset Discovery and Knowledge Graph Expansion from Scientific Literature
3. Abhignya Jagathpally LLM-Based Multimodal Data Integration for Clinical Risk Prediction
4. Ananya Agarwal

Integrated Immersive XR Research Platform for Behavioral, Cognitive, and Human-Centered Studies

5. Kanishk Sharma

Physio Twin: AI-Driven Personal Health Digital Twin

6. Israt Afroz Mobile AR-Enabled Real-Time Diet Monitoring for Chronic Disease Management
7. Tareni Moorty, Raj Seth, Rohan Seth (TAMS, High School Team) NeuroWheel - Real-Time Brain-Controlled Assistive Vehicle Using Consumer EEG, Motor Imagery and Multi-Paradigm BCI 
8. Arshiya Bajaj, Om Panemangalore, Soham Sharma, Bhav (Mentor: Pranav Moses)  Point Cloud-Based Immersive Annotation and Visualization System  (High School Team)
9. Ashrafe Alam Explainable Deep Survival Learning and VR-enhanced Visualization for Longitudinal Dementia Risk Prediction in Older Adults Using NHATS Data
10. Samiul Amin Rishat

Knowledge-Graph-Aware Federated Learning for Privacy-Preserving LLM Adaptation

11. Saiful Islam Badhon

Real-Time Workout Monitoring, Anomaly Detection, Emotion Detection, and time series analysis using Mobile Devices

12. Pranav Abishai Moses

Immersive VR Health Adherence Simulator for Adult Medication Management

13 Omar, Neil, Eric, Subha, & Harshith (TAMS)

From Thought to Text: EEG-Based Brain–Computer Interface for Neural Decoding

14 Khawja Imran Masud

LLM-based Causal Discovery from Scientific Literature

15 Kathleen Dang

Gamification in Higher Education: The Impact of Bonus Point Incentives on Student Motivation

16 Sai Neha Penmetsa and Seth Osborn (SMU)

Sensory Flexible Workspace Environments

17. Aayush Pal, Aryan Shah (TAMS) 

Comparing Behavioral and Physiological Responses to Real vs. Virtual Opponents in the Split-or-Steal Game

18. Advay Kotla (TAMS) 

Storm Graph Transformer 

19. Tanzina Hossain 

Beyond Boilerplate: Contextual Embeddings for Measuring Economic Change in MD&A Disclosures 

20. Tayiba Rahee

StressLess: A Context-Engineered Dashboard for Reducing Cognitive Load in University Student Mental Health Services

21 Sreeja Kanuganti, Sawyer Alston, Yashaswini Sreenivasa Shetty

Assessing and Improving LLM Spatiotemporal Reasoning for Synthesizing Crisis Situational Awareness Posts

22 Farhan Sharukh Hasan, Eric Liu

Large Language Models for Automated Fact-Checking Article Generation

23 Saba Yousefian Jazi

The Computational Role of Spontaneous Neural Activity in Preparing Animals to Perceive Depth

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