SCHEDULE
8:30 am - 8:45 am Opening: Provost Prashant Mohapatra
8:45 am - 9:45 am: Panel Talks, AI Research and Applications in Medicine and Biology
Presenter Title
Rays Jiang, USF Machine Learning Generated Insights from Swiss COVID-19 Patients Lung Proteomics Data
Chengqi Wang, USF MalariaSED: a Deep Learning Framework to Decipher the Regulatory Contributions of Noncoding Variants in Malaria Parasites
Yicheng Tu, USF Biological Sequence Alignment: A Deep Learning-Based Method
Hunter Morera, USF Quantification of Microglia Cells in Low Magnification Images Using Deep Learning
Azam Shirali, FIU PIsToN: Evaluating Protein Binding Interfaces with Transformer Networks
9:45 am - 10:45 am Posters and Coffee
Presenter Title
Xiaoming Liu & Chang Li, USF
MetaRNN: Differentiating Rare Pathogenic and Rare Benign Missense SNVs and InDels Using Deep Learning
Trung Le, USF
Empowering Sleep Medicine with AI: A Comprehensive Exploration into the Diagnosis and Treatment of Obstructive Sleep Apnea (OSA)
Ryan Fogarty, USF & Moffitt Cancer Center
Umair Mohammad and Fahad Saeed, FIU
Asim Waqas, USF & Moffitt Cancer Center
Classifying Prostate Malignancy in Pathology Whole Slide Images
Towards Real-World ML/AI Models for Epileptic Seizure Prediction from Wearable EEG
Hierarchical Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes
Shatha Abudalou, USF Reproducibility of Deep Networks in Delineating Prostate Gland Anatomy.
Austin Smith, USF
Species Distribution Modeling with Time Series Data and Deep Learning
Jonathan Ho Wai Lone, USF
Jiayi Wang, USF
Evaluating Clinical and Radiomic Features for Predicting Lung Cancer Recurrence Pre and Post-Tumor Resection
Precision Music Intervention through Computer Vision-Based Human Affect Assessment
Fahad Almuqhim and Fahad Saeed, FIU
Exploring the Impact of Muti-Site Data Acquisition Parameters on Deep Learning Models for fMRI Data
10:45 am - 11:45 am
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12:30 pm - 1:30 pm
Panel Talks, Ethical Considerations and AI in Society
Presenter Title
John Licato, USF Demystifying Large Language Models: What They Can and Can’t Do
Katherine Drabiak, USF Legal and Ethical Issues Associated with AI/ML in Healthcare
Michael Gubanov, FSU COVIDKG.ORG - a Web-scale COVID-19 Interactive Trustworthy Knowledge Graph; Constructed and Interrogated for Bias Using Deep-Learning
Presenter Title
Gene Kim, USF
Investigating Lesser-Known and Subtler Biases in LLMs
Quintin McGrath, QplusAI LLC
Bridging the Gap between AI Ethical Principles and Practices: An Enhanced Enterprise Risk Management Approach
1:30 pm - 2:00 pm
Posters
Presenter Title
Ramy Mounir, USF Cognitively-Inspired Spatio-Temporal Event Segmentation for Wildlife Monitoring
Sat Ramphal, Maya Ai inc.
Lorraine (Lori) Jacques, Univ. of Tampa
Benjamin BarreraAltuna, USF
LLM’s Which Ones to Use and Which Ones to Trust Build vs. Buy
How ChatGPT can Illuminate Student Understanding
City-Focused Air Quality Inference Learning
2:00 pm - 3:00 pm
Panel Talks, Advancements in AI and Technical Innovations
Presenter
Title
Hamza Karim, USF Real-Time End-to-End Video Anomaly Detection
Benjamin G. Jacob, USF
Using a Drone Dashboard Smartphone Application Infused with ChatGPT-4 to Disseminate Mapping Information on Anopheles Mosquito Habitats
Esmat Ghasemi Saghand, USF Multi-Objective Neural Architecture Search for EnergyEfficient Spiking Neural Networks
Ismail Uysal, USF How to Boost the Outlier User Accuracies in Human Activity Recognition
Cole Hill & Sujal
Vijayaraghavan & Azim Ibragimov & Mauricio Pamplona
Segundo & Sudeep
Sarkar, USF
Improving Gait Recognition: Ensuring Temporal Consistencies with Gait Motion Discriminator; Linear Dynamical System and Refinement by Optimization
3:00 pm - 3:45 pm
Posters and Coffee
Presenter
Title
Jalal Ghadermazi, USF A Novel Real-Time Image-Based Network Intrusion Detection System
Furkan Mumcu, USF Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems
Presenter Title
Autar Kaw, USF Identifying and Supporting Low-Performing Students in a STEM Course Using Adaptive Learning Platform Data
Thiago Andre Ferreira Medeiros, USF
Brain-Inspired Spatio-Temporal Learning with Application to Robotics
Chance Hamilton, USF A Novel Biomimetic Approach for Spatial Learning and Navigation in Autonomous Mobile Robots
Justin McMillen, USF Multimodal Transformer U-Net for Terrain Understanding
Mehrsa Mashhadi, USF Comparison of Object Detection Methods Under Different Weather Conditions using Multimodal Data
Srinivas Katkoori, USF Optimizing Machine Learning Inference Models on Resource-Constrained IoT Edge Hardware
Arjuna Madanayake, FIU Deep-Learning RF-AI Sensing for Detecting On-Body Suicide Bomb Threats
3:30 pm - 4:30 pm
Breakout Groups and Report Back
1. Ethics and Education
2. Biomedical
3. Large research collaborations
