2023 AI+X Symposium Program

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Symposium September 29, 2023 | 8:30 am - 4:45 pm USF Research Park: 3814 Spectrum Level 1 A USF ResearchOne Event PROGRAM


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


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

Talk 11:45 am
12:30 pm Lunch Break

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


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



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



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


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