Symposium
PROGRAM
October 25, 2024 | 8:30 am - 4:45 pm
USF Research Park: 3814 Spectrum Level 1
SCHEDULE
8:30 am - 8:45 am Opening: Provost Prasant Mohapatra
8:45 am - 9:45 am: Panel Discussion: AI and Healthcare
Presenter Title
Palak Dave, Jordan Rai, Ling Zhang, Mohammad Omar Hussaini, Nancy Gillis, Mikkael A. Sekeres, Amy E. DeZern, Rami Komrokji, Issam El Naqa
A Deep-Learning Pipeline for Diagnosis of Myelodysplastic Syndromes/Neoplasms using Bone Marrow Smears
Jacqueline Hausmann Long-term Multimodal Neonatal Postoperative Pain Dataset
Gerald C. Imaezue, Harikrishna Marampelly, Jael R. Azemard, Gianna Mineo, Clarissa Salas, John Licato
Re-Agent: A feasibility study on the performance of Response Elaboration AI Agent across semantic parameters
Manas Biswal, Bapi Behera Innovative AI-Driven Analysis of Retinal OCT Images for Enhanced Clinical Workflows and EHR Integration Using FHIR Standards
Ryan Tang, Karim Hanna
Potential Use of Large Language Models in Assisting Physicians with Preanesthetic Testing
9:45 am - 10:45 am
Posters Presentations: AI and Healthcare
Presenter Title
Hung Tran, Thanh Duong. Thanh Q. Thieu
Oncobot: A Human-Centered Multimodal Chatbot for Clinical Oncology Information Retrieval
Feng Cheng, Yicheng Tu Sumarga Kumar Sah Tyagi, Tanay Jambli
Identification of Beneficial Drug-Drug Interactions Using Language Models
Shrinit Babel, Jade Vanderpool, Milad Behbahaninia
Kok Cheng Tan
Piyawan Conahan, Lary A Robinson, Yi Luo
Katarzyna Mizgalska, Ella I. Lawrence, Tiffany L. Siev, Aleksandra Karolak
Roy Chen, Wedline Charles,
Karim Hanna, Christina Eldredge,
James E. Andrews,
Unsupervised Machine Learning Identifies Distinct Subphenotypes in Traumatic Brain Injury: Insights into Hospital Readmission Risk
AI-Driven Sequential Data Denoising Using NSGA-II: A Multi-Objective Approach
A Fairness-Aware Artificial Intelligence Framework to Develop an Accurate and Racial Unbiased Lung Cancer Screening Eligibility Mechanism
Mutations in drug binding sites: integrating computational chemistry and machine learning to understand mutation-induced resistance
Medical Student Perspectives on AI Use in Healthcare Education
Chukwuma Eustace Okoroji, Jhanavi Sabharwal, Roy Chen, Dylan Huston, Wedline Charles
Vamsi Kummaragunta, Bhavya Reddy Seerapu
Aakash Tripathi, Asim Waqas, Yasin Yilmaz, Ghulam Rasool
AI-Enhanced Maternal Care: Predictive Models for Maternal Health Risk Factors
Iryna Hartsock, Ghulam Rasool
Aaron Ritter
Asim Waqas, Aakash Tripathi, Ghulam Rasool
Nikolas Koutsoubis, Yasin Yilmaz, Ghulam Rasool
Voice-Med Simulator
Advancing Cancer Research Through Integrated Multimodal Data Analysis: A Comprehensive Framework for Precision Oncology
Improving Radiology Report Conciseness and Structure via Open-Source Local Large Language Models
Building Trustworthy AI for Patient Engagement: An Ambient Scribe Approach for Medical Documentation and Education in Diabetes and Diabetic Footcare
Local and Private Large Language Models (LLMs) for Cancer Registry – An Automated Tool for Cancer Researchers, Clinicians, and Registrars
Harnessing Distributed Intelligence with Privacy Preservation: Federated Learning in Oncology – A Preliminary Simulation Study
Sabeen Ahmed Reliable Radiographic Skeletal Muscle Area Assessment for Cancer Cachexia Diagnosis
10:45 am - 11:45 am Keynote Talk
Traversing the AI+X Continuum for Impact
Nitesh Chawla
Frank
M. Freimann Professor of Computer Science and
Engineering University of Notre Dame Notre Dame, IN
Abstract: In this talk, I will present our work on fundamental advances in AI, inspired by interdisciplinary problem statements and societal challenges. I will highlight our innovation journey that encapsulates both the opportunities and challenges inherent in harnessing the full potential of AI + X in particular highlighting the realization of societal impact through translational work in healthcare and advancing scientific discovery.
11:45 am - 12:30 pm Lunch Break
12:30 pm - 1:30 pm
Panel Discussion: AI Advances
Presenter Title
Esmat Ghasemi Saghand
Trieu Nguyen, Aleksandra Karolak
Md Mahmuddun Nabi Murad, Mehmet Aktukmak, Yasin Yilmaz
Alfredo Fernandez, Ankur Mali
Rifatul Islam, Ismail Uysal
MONAS-ESNN: A Multi-Objective Neural Architecture Search Framework for Optimizing Spiking Neural Networks Using NSGA-II
Transformer Graph Variational Autoencoder for Generative Molecular Design
WPMixer: Multi-Resolution Mixing for Long-Term Time Series Forecasting
Stable and Efficient Learning with the Hyperbolic Tangent Exponential Linear Unit
Can You Trust Explainable AI? A Convergence-Based Approach to Feature Ranking
1:30 pm - 2:30 pm Poster Presentations: Language Model Advancements and Other Applications
Presenter Title
Gerald C. Imaezue, Harikrishna Marampelly, Jael R. Azemard,
Gianna Mineo, Clarissa Salas
Zachary J Hinnen, Alfredo Weitzenfeld
Multilingual AI–Agent for Language Therapy (MALT) in diverse languages: A feasibility study with English, Hindi and Spanish speakers
Analyzing Multi-Robot Leader-Follower Formations in Obstacle-Laden Environments
Utsav Kapoor,
Geetha Krishna Chaitanya Nama
Brendon Johnson, Alfredo Weitzenfeld
Sayde L. King, Tempestt Neal
Wilson Lozano, Tempestt Neal
Enock Chemochek
Xiao Li
Meghna Chaudhary, Saandeep Aathreya, Parush Gera, Shaun J. Canavan, Tempestt Neal,
Sajad Soleymani Hasani,
Mauricio E. Arias, Osama Tarabih, Hung Quoc Nguyen, Qiong Zhang
Sophea Rom Phy,
Mauricio E. Arias, Eunjee Lee, Stefano Galelli,
Susantha Jayasinghe
Optimized Preprocessing Steps and Neural Network Parameters for Generalized Stridor Detection and Characterization
Spatial Navigation With Hierarchical Reinforcement Learning
An Analysis of Intra- and Inter-Domain Biometric Features for Cross-Domain Deception Detection
Sensor-Based Driver and Passenger Classification: Cost-Effective Techniques for Resource-Constrained Devices in Transportation Research
A Fair Bargain: Harnessing Nash Bargaining for Bias-Impact Balance in AI Models
AcademiQ: Advancing Learning Through AI-Driven Constructivist Approaches
Keystroke-Touch-Mouse Dynamics Dataset: A Novel Dataset for Advancing Cross-Task and Cross-Device User Authentication
Leveraging Explainable Machine Learning for Enhanced Management of Lake Water Quality
Integrating XGBoost and TNN with a hydrological model for streamflow reconstruction in two major rivers of Southeast Asia
Justin McMillen, Yasin Yilmaz
Sujal Vijayaraghavan, Sudeep Sarkar
Fawaz Abdul Razak, Yasin Yilmaz, Justin McMillen, Gokhan Mumcu
Veronica Daoud, Bhavya Reddy Seerapu, Jiayi Wang
Creating Realistic Semantic Segmentation Datasets with Unreal Engine
Geometrically consistent pose and identitydependent shape estimation of humans from multi-view and multi-scene learning
Hardware and Deep Learning Based Authentication through Enhanced RF Fingerprinting
Advancing Stridor Detection: Enhancing Diagnostic Accuracy with Artificial Intelligence and Bridge2AI Voice
Naga Lakshmi Subha Pavan Kumar Ghantasala Cluster Enhanced Feature Importance (CEFI): K Means is All You Need
Daniel Gergov, Sophia Barton Fake Review Detection using Contextualized Word Embeddings
Nathaniel Hartmann, Allison Smith
Yuhang Wang, Hao Zhou
Ramy Mounir, Sujal Vijayaraghavan, Sudeep Sarkar
Mauricio Pamplona Segundo, Sudeep Sarkar
Minh Tam Nguyen, Sumarga Kumar Sah Tyagi, Yicheng Tu, Duc-Kha Vu
Applying Natural Language Processing in Employee Customer Interactions
Towards Safer and More Adaptive Lane Keeping Assist: Insights from Empirical Vehicular Data and Large Language Model Evaluation
STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner
Unveiling Gait Dynamics through Stancebased Representations
Enhancing Small Language Models
Reasoning with Retrieval Augmented Generation: A Big Data Approach
Gilbert Rotich, Sudeep Sarkar
Mehrsa Mashhadi, Susana Lai-Yuen, Sudeep Sarkar
Gabriel Makower, Ismail Uysal, Issam El Naqa
Evaluating the Robustness of Foundation Satellite Imagery Models
Comparison of Object Detection Models Using Fusion Algorithms and Synthetic Images Under Adverse Conditions
Bridging the Gap: Analyzing Racial Disparities and Bias in Machine Learning Algorithms for Breast Cancer Survival Prediction
2:30 pm - 3:30 pm Panel Discussion: AI Applications
Presenter Title
Chance J Hamilton
Mark Awad, Veronica Daoud, Karim Hanna, John Petrilli
Ahmed Shahabaz, Joanna Toczydłowska, Roman Gula, Jörn Theuerkauf, Sudeep Sarkar
Shrabon Kumar Das, Gene Louis Kim
Naeem Md Sami
Enhancing PPO Reinforcement Learning with Place Cells: A Comparative Study on Pathfinding Efficiency and Stability
Enhancing Clerkship Education: Assessing the Impact of AI Integration on 3rd-Year Medical Students’ Test Scores
AI Based Distance Sampling for Wildlife Monitoring
Exploring LLM-based ULF Semantic Parsing Techniques
Artificial Intelligence-based Cascading Failure Prediction Analysis in Power Systems
3:30 pm - 4:30 pm
Poster Presentations: Ethics, Societal Impacts, Cybersecurity and Education
Presenter Title
Rohan Dash
Priya Dozier,
Ashley A. Curtis
Hoorad Abootalebi, Anam Ahmed, Joshua Kyle Brown, Tempestt Neal
Animesh Nighojkar, John Licato
Leah Burger, Jenifer Jasinski Schneider
Austin Katz,
Stephanie A. Boettcher,
Maxwell Brunell,
Daniel Jacob Griffin
Jiayi Wang, Hongdao Meng,
Dmitry Goldgof, Shaun J. Canavan,
John Michael Templeton,
Robert W. Hammond, Yu Sun
Trevor Pharr, Ahmed Shahabaz, Fahim Rahman, James Anibal
Stephanie A. Boettcher,
Austin Katz, Daniel Jacob Griffin,
Maxwell Brunell
Comparing the Effectiveness of Novel Vision Transformers with Convolutional Neural Networks in Detecting and Classifying Citrus Diseases
Ethical Leadership in the Age of Artificial Intelligence: Setting a Research Agenda
Perspectives and Experiences of Underrepresented Groups on Authentication Systems and Other Secure Cyber Practices
Unveiling Vulnerabilities: A Study of Prompt-Based Attacks on AI Chatbots
Youth-Centric VR Game Creation: A Study of Critical Literacies Enhanced by AI
There’s an (A)I in Teams: A Novel Framework for Predicting Human-AI Team Success
Precision Music Intervention through Computer Vision Based Emotion Assessment
Assessing and Mitigating Gender and Age Bias in the Bridge2AI Preliminary Voice Dataset
What Defines a True Teammate? A Systematic Review of Human-AI Team Composition
Ilene R. Berson,
Michael J. Berson
Zafer Unal,
Stephanie A. Arthur
Chung Seop Jeong
Debra Friar
Evan Fruehauf,
Andrew Beman-Cavallaro,
LeEtta M. Schmidt
Shabnam Mehra, Rusnak L.,
Sarah Morgenthaler Bonnema,
Jennifer Belteau
Shrabon Kumar Das, Ankur Mali
Shabnam Mehra PhD,
Sonya Crider,
Rhea Charles,
Shania M. Gonzalez
Amanda Boczar,
Dahlia Thomas,
Marlena Carrillo
Mahammed Kamruzzaman, Gene Louis Kim
Unlocking Cultural Heritage with AI: Inspiring Early Childhood Wonder
Exploring AI Tool Adoption in K-12
Settings: Insights from the Unified Theory of Acceptance and Use of Technology
Using AI in an introductive programming course
Harnessing Generative AI: Managing Risks and Driving Innovation in Enterprise Environments
Libraries as a Foundation for Generative AI support within Academia
Brave New World: Exploring undergraduate USF student preferences for AI in classrooms
Exploring Learnability in MemoryAugmented Recurrent Neural Networks: Precision, Stability, and Empirical Insights
Not One Size Fits All - Comapring AI tools for Curriculum Design and Lesson Planning
Ethical Considerations for AI-Supported Transcription at USF Libraries Digital Initiatives
Personas Effect on Cultural Norm Interpretation in LLMs
