Workshop 2 - Docker for Data Science

Rami Krispin, South Dakota State University

Pasque 255

1:00 PM - 5:00 PM

Workshop 3 - Coding with ChatGPT

Xijin Ge, South Dakota State University

Pheasant Room 253 A/B

1:00 PM - 5:00 PM

Workshop 4 - Blockchain Bootcamp ‐ “A quick guide to create smart contract with Solidity”

Timothy Li

Pheasant Room 253 A/B

1:00 PM - 5:00 PM

Session 1: Fighting the Good Fraud Fight

Adam Elliot, Kevari

Herold Crest 253 C

9:50 AM - 10:50 AM

Session 2: Development of a Machine Learning and Computational Method to Identify Geographic and Racial Disparities in End-Stage Kidney Disease

Brandon Varilek, South Dakota State University
Semhar Michael, South Dakota State University
Hossein Moradi, South Dakota State University
Surachat Ngorsuraches, Auburn University
Patti Brooks, Dakota State University

Dakota Room 250 A/C

9:50 AM - 10:50 AM

Session 2: Transforming Maternal Care: Building a Comprehensive Database for Better Outcomes in South Dakota

Christine Hockett
Tianna Beare
Jyoti Angal

Dakota Room 250 A/C

9:50 AM - 10:50 AM

Session 3: A Deep Learning Strategy for Solving Physics-based Bayesian Inference Problems

Deep Ray, University of Maryland at College Park
Assad Oberai, University of Southern California
Javier Murgoitio-Esandi, University of Southern California
Agnimitra Dasgupta, University of Southern California

Pasque 255

9:50 AM - 10:50 AM

Session 3: Characterizing Rational Transplant Program Response to Outcome-Based Regulation

David Mildebrath, Rice University
Taewoo Lee, University of Pittsburgh
Saumya Sinha, University of Minnesota - Twin Cities
Andrew J. Schaefer, Rice University
Ahmed Osama Gaber, Houston Methodist Hospital

Pasque 255

9:50 AM - 10:50 AM

Session 3: Into the Cat-VRS: Cracking a Clinical Conundrum Before It’s Too Late

Daniel Puthawala, Nationwide Childrens Hospital

Pasque 255

9:50 AM - 10:50 AM

Session 5: An Empirical Study on One-Step Ahead Stock Price Prediction Using Deep Learning Model and High Dimensional Method

Feiyang Xu, South Dakota State University
Zhiguang Wang, South Dakota State University

Dakota Room 250 A/C

11:00 AM - 12:00 PM

Session 5: Machine Learning for Stock Return Prediction: Transformers or Simple Neural Networks

Zhiguang Wang, South Dakota State University
Junze Sun
Feiyang Xu, South Dakota State University

Dakota Room 250 A/C

11:00 AM - 12:00 PM

Session 5: Unleashing the Power of ChatGPT in Finance Research: Opportunities and Challenges

Zifeng Feng, University of Texas at El Paso
Gangqing Hu, West Virginia University
Bingxin Li, West Virginia University

Dakota Room 250 A/C

11:00 AM - 12:00 PM

Session 6: Model-based Clustering Analysis on the Spatial-Temporal and Intensity Patterns of Tornadoes

Session 6: On Contaminated Transformation Mixture Models

Yana Melnykov, University of Alabama - Tuscaloosa
Xuwen Zhu, University of Alabama - Tuscaloosa
Volodymyr Melnykov, University of Alabama - Tuscaloosa

Pasque 255

11:00 AM - 12:00 PM

Session 6: The Size-biased Lognormal Mixture with the Entropy Regularized Algorithm

Tatjana Miljkovic, Miami University - Oxford
Taehan Bae, University of Regina

Pasque 255

11:00 AM - 12:00 PM

Lunch

South Dakota State University

Volstorff B

12:00 PM - 1:00 PM

Poster Session

South Dakota State University

Volstorff A

1:00 PM - 2:00 PM

Session 7: Clustering of Synthetic Opioid Death Rates and Associated Factors in the U.S.

Jason Hasse, South Dakota State University

Herold Crest 253 C

2:30 PM - 3:30 PM

Session 7: Hierarchical Clustering of Small Arms Propellants with Pseudo-Metrics

Janean Hanka, South Dakota State University

Herold Crest 253 C

2:30 PM - 3:30 PM

Session 7: Studying Algorithmic Bias in Forensic Source Identification Problems

Isaac Gbene, South Dakota State University

Herold Crest 253 C

2:30 PM - 3:30 PM

Session 7: Student speed presentations

South Dakota State University

Herold Crest 253 C

2:30 PM - 3:30 PM

Session 8: Clustering Singular and Non-Singular Covariance Matrices for Classification

Andrew Simpson, South Dakota State University

Dakota Room 250 A/C

2:30 PM - 3:30 PM

Session 8: Machine Learning based Behavior of Non-OPEC Global Supply in Crude Oil Price Determinism

Mofe Jeje, North Dakota State University

Dakota Room 250 A/C

2:30 PM - 3:30 PM

Session 8: Robust CNN-based Automatic Modulation Classification

Mark Arinaitwe, North Dakota State Univrsity
Rajesh Godasu, University of North Dakota
Ahmed Abdelhadi, University of North Dakota

Dakota Room 250 A/C

2:30 PM - 3:30 PM

Session 9: Improved Geolocation of Satellite Measurements Using Bayesian Hierarchical Models

Paul May, South Dakota School of Mines and Technology

Pasque 255

2:30 PM - 3:30 PM

Session 9: Iterative Estimation of Coefficients for Generalized Linear Models on Pairwise Scores

Cami Fuglsby, Augustana University
Jung-Han Kimn, South Dakota State University

2:30 PM - 3:30 PM

Session 9: The Embedding Gap, when are manifold close?

Michael Puthawala, South Dakota State University

Pasque 255

2:30 PM - 3:30 PM