Workshop 2 – Agentic AI Systems with Advanced Capabilities: Exploring, Planning, Self-reflection, and Human-in-the-loop Dynamics.

David Zeng, Dakota State University

Dakota Room 250 A/C

1:00 PM - 5:00 PM

Workshop 3 – Introduction to Quarto

Xijin Ge, South Dakota State University

Pheasant Room 253 A/B

1:00 PM - 5:00 PM

Session 2 : Creating a User-friendly Shiny App for Reproducible Two-Sample Mendelian Randomization Studies

Frederick Joseph Boehm, South Dakota State University
Ji Hoon Park, South Dakota State University

Dakota A & C (Room 250)

8:50 AM - 9:50 AM

Session 2 : Unveiling Clusters in High-dimensional Cancer Data: Predicting Cancer of Unknown Primary

Padmapriya Swaminathan, Avera Research Institute

Dakota A & C (Room 250)

8:50 AM - 9:50 AM

Session 2: Applied Model Building and Implementation: Predicting Acute Care Utilization Following Chemotherapy

McKenna Perrin, Avera Research Institute

Dakota A & C (Room 250)

8:50 AM - 9:50 AM

Session 3: The Many Faces of Data Science in Healthcare

Christine Puthawala, Boston Childrens Hospital
Amrita Sinha, Boston Children Hospital
Erik Westlund, Johns Hopkins University

Pasque (Room 255)

8:50 AM - 9:50 AM

Session 4 : Harnessing Local LLMs: A Practical Guide for Secure Data Science

Daniel Burkhalter, Orditus

Jacks' Place (Room 050)

11:00 AM - 12:00 PM

Session 4 : Model Governance and Key Risk Indicators of Model Performance

Edward Krueger, Channel Partners Capital
Josh Moore, Channel Partners Capital

Jacks' Place (Room 050)

11:00 AM - 12:00 PM

Session 5 : Assessing Heterogeneity in Maternal-Child Outcomes: Insights from Machine Learning

Corneliu Bolbocean, University of Arkansas

Dakota A & C (Room 250)

11:00 AM - 12:00 PM

Session 5 : Challenges and Opportunities of Combining Clinical Datasets with Social Determinants of Health Datasets in Machine Learning: Application to Determining the Risk of Mortality in End Stage Kidney Disease

Patti Brooks, Dakota State University
Brandon M. Varilek, South Dakota State University
Surachat Ngorsuraches, Auburn University
Hossein Moradi, South Dakota State University
Department of Mathematics & Statistics, South Dakota State University

Dakota A & C (Room 250)

11:00 AM - 12:00 PM

Session 6 : Bone Surface Modification Dataset Synthesis for Computer Vision Models Using LoRA Tuned Latent Diffusion Models

Jason Mixon, Dakota State University
Austin O'Brien, Dakota State University

Pasque (Room 255)

11:00 AM - 12:00 PM

Session 6 : Specific Source Machine Learning Score-based Likelihood Ratios for Forensic Evidence

Danica Ommen, Iowa State University
Federico Veneri, Iowa State University/CSAFE

Pasque (Room 255)

11:00 AM - 12:00 PM

Poster Session : Student poster competition

South Dakota State University

Volstorff A

1:00 PM - 2:30 PM

Session 7 : Using Machine Learning to Predict Attrition in a Federal Nutrition Education Program

Andrea Leschewski, South Dakota State University
Rohini Daraboina, South Dakota State University
Semhar Michael, South Dakota State University
Andrea Simpson, South Dakota State University
Graham Bastian, South Dakota State University
Stacey Finkelstein, SUNY Stony Brook

Jacks' Place (Room 050)

2:30 PM - 3:30 PM

Session 7 : Modeling Time to Recovery from Neonatal Hypothermia Among Neonates Admitted to Pawe Generalized Hospital, Metekel Zone, Ethiopia

Aboma Tolessa

Jacks' Place (Room 050)

2:30 PM - 3:30 PM

Session 8 : When Machine Learning Meets Wireless Networking and Mobile Computing: Observations and Algorithm Design

Jun Huang, South Dakota State University

Dakota A & C (Room 250)

2:30 PM - 3:30 PM

Session 8 : Knowledge Graph Embedding Models for Drug Repurposing

Bishnu Sarker, Meharry Medical College

Dakota A & C (Room 250)

2:30 PM - 3:30 PM

Session 9 : Recent Developments in the Application of Pairwise Overlap

Volodymyr Melnykov, University of Alabama - Tuscaloosa

Dakota A & C (Room 250)

2:30 PM - 3:30 PM

Session 9 : Spatial-temporal Models for Forest Inventory Data

Paul May, South Dakota School of Mines and Technology

Pasque (Room 255)

2:30 PM - 3:30 PM

Sesssion 9 : Transformation Discriminant Analysis

Yana Melnykov, University of Alabama - Tuscaloosa

Pasque (Room 255)

2:30 PM - 3:30 PM