Poster Session | SDSU Data Science Symposium 2025

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Schedule
2025
Friday, February 7th
1:00 PM

A Deep Cox Mixture Model Approach to End-Stage Kidney Disease

Jason Hasse, South Dakota State University
Semhar Michael, South Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Addressing Missing Data in SDOH: Imputation and Translation

Mary Row, South Dakota State University
Semhar Michael, South Dakota State University
Hossein Moradi, South Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

AI and Radiology: Exploring People, Process, and Technology through a Meta-Analysis

Sai Mounika Chintalapudi, Dakota State University
Vahini Atluri, Dakota State University
Cherie Noteboom, Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

AI Super Resolution for Structural Damage Detection From Low Quality Sources

Catherine Hoier, Dakota State University
Khandaker Mamun Ahmed, Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Analyzing Heart Disease Risk Factors Using a Logistic Regression Approach

Quyen Nguyen, Minnesota State University, Mankato
Eric J. Van Amber, Minnesota State University, Mankato

Volstorff A

1:00 PM - 2:00 PM

1:00 PM

Association Between Water Pollution and Other Environmental Factor Exposures with Preterm Births and Potential Subsequent Birth Defects

Emma Brookman, South Dakota State University
Hossein Moradi Rekabdarkolaee, South Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Bayesian Machine Learning Approach for Corn Yield Prediction Using Satellite Imagery and Topographic Data

Etornam Kwame Kunu, South Dakota State University
Hossein Moradi Rekabdarkolaee, South Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Computer Vision Dataset Synthesis Using LoRA Tuned Latent Diffusion Models

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

Volstorff A

1:00 PM - 2:00 PM

1:00 PM

Covariance Clustering on Skewed Data

Andrew Simpson, South Dakota State University
Semhar Michael, South Dakota State University
Yana Melnykov, University of Alabama - Tuscaloosa

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Deep Learning for Forensic Identification of Source

Cole R. Patten, South Dakota State University
Michael Puthawala, South Dakota State University
Christopher Saunders, South Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Development and Validation of Mortality Risk Scores for Persons with End-Stage Kidney Disease

Nathan Meyer, South Dakota State University
Semhar Michael, South Dakota State University
Hossein Moradi Rekabdarkolaee, South Dakota State University
Brandon Varilek, University of Nebraska Medical Center
Surachat Ngorsuraches, Auburn University
Patti Brooks, Dakota State University
Jerry Schrier, Avera McKennan Hospital & University Health Center

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Downscaling and Predicting Downward Shortwave Radiation: A Case Study Using Ambient Weather and Open-Meteo Data

Shree Krishna Nyaupane, South Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Enhancing Crop Yield through Efficient Anomaly Detection Using Transfer Learning and Multispectral Satellite Imagery

Muhammad Bhutta, Dakota State University
Khandaker Mamun Ahmed, Dakota State University
Abid Mehmood, Dakota State University
Youssef Harrath, Dakota State University
Jihene Kaabi, Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Estimation of Parameters of the Truncated Normal Distribution with Unknown Bounds

Dylan Borchert, South Dakota State University
Semhar Michael, South Dakota State University
Christopher Saunders, South Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Evaluating the Effectiveness of OPTN Regulations in Organ Transplantation

Michael Olabode, University of Minnesota - Twin Cities
Saumya Sinha, University of Minnesota - Twin Cities

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Filters for Forecasting Crop Health: Analyzing and Projecting the Temporal Evolution of Landsat NDVI Data using Dynamic Linear Models and the Kalman Filter

Kamal Albousafi, South Dakota State University
Hossein Moradi, South Dakota State University
Jung-Han Kimn, South Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Forecasting and Downscaling Solar Irradiance Using Transformers

Jesto Peter, South Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Generative AI for Synthetic Data Creation: Building Mastery-Focused Educational Datasets

Tapiwa Amion Chinodakufa, Dakota State University
Khandaker Mamun Ahmed, Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Global Distributional Assumptions for a Local False Discovery Rate-Based Assessment of Forensic and Biometric Matching System Capacity

Clarissa Giefer, South Dakota State University
Christopher Saunders, South Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Implications of assuming common within-source distributions and their effect on evidence interpretation

Janean L. Hanka MS, South Dakota State University
JoAnn Buscaglia PhD, FBI Laboratory
Jack Hietpas PhD, CUNY John Jay College
Danica M. Ommen PhD, Iowa State University
Christopher P. Saunders PhD, South Dakota State University

Volstorff A

1:00 PM - 2:00 PM

1:00 PM

Integrating Artificial Intelligence into Radiology: A Meta-Analysis of Educational Interventions and Technological Trends

Vahini Atluri, Dakota State University
Sai Mounika Chintalapudi, Dakota State University
Cherie Bakker Noteboom, Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Intelligent Clinical Decision Support Systems Research Plan

Andy Behrens, Dakota State University
Cherie Noteboom, Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Leveraging Large Language Models for Automated Extraction of Information from Provider Notes

Matthew Halberg, South Dakota State University
Semhar Michael, South Dakota State University
Tobias Meissner, Avera Health
Dmitry Khomyakov, Avera Health

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Machine Learning and SHAP Interpretability for Chronic Disease Understanding

Nnaemeka Charles Igwe, Dakota State University
Khandaker Mamun Ahmed, Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Modeling Area Deprivation Index using Non-Gaussian Fixed Rank Kriging

Edwin Kutsushi Mutimba, South Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Modeling Forage Quantity and Quality Using Machine Learning Models and Remote Sensing Data.

Michael Abalo, South Dakota State University
Jameson Brennan, South Dakota State University
Moradi Rekabdarkolaee Hossein, South Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Predicting Football Player's Salary

Md Iftekhar Amin, Minnesota State University, Mankato
Deepshikha Sanjel, Minnesota State University, Mankato

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Predicting Soil Temperature at different depths using a Time Series Model

Sayantica Pattanayak, Augsburg University
Kwadwo Owusu, Augsburg University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Prediction of All-Cause Mortality in End-Stage Kidney Disease Patients Using Social Determinants of Health: A Machine Learning Framework

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

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Probing the Stability of Designed Protein

Axel Irianni, South Dakota State University
Shuvo Chakraborty, South Dakota State University
Maral Afshinpour, South Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Skew-Gaussian Spatiotemporal Change of Support Model

Eleanor Cain, South Dakota State University
Hossein Moradi Rekabdarkolaee, South Dakota State University
Semhar Michael, South Dakota State University

1:00 PM - 2:30 PM

1:00 PM

Studying Bias in Diagnostic and Predictive Models in AI-Driven Healthcare Systems: A Focus on Bias Detection, Mitigation, and Ethical Considerations

Isaac Gbene, South Dakota State University
Semhar Michael, South Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Variable Screening of Social Determinants of Health Data With End Stage Kidney Disease Risk Scores

Maxwell Donelan, South Dakota State University
Department of Mathematics & Statistics, South Dakota State University
Hossein Moradi, South Dakota State University

Volstorff A

1:00 PM - 2:30 PM

1:00 PM

Wheat Spike and Spikelet Detection on Close-range Digital Imagery using Deep Learning

Hillson Ghimire, South Dakota State University
Maitiniyazi Maimaitijiang, South Dakota State University
Swas Kaushal, South Dakota State University
Dante Koupal, South Dakota State University
Kushal Poudel, South Dakota State University
Subash Thapa, South Dakota State University
Santosh Subedi, South Dakota State University
Ubaid ur Rehman Janjua, South Dakota State University
Joytirmoy Halder, South Dakota State University
Sunish Kumar Sehgal, South Dakota State University

Volstorff A

1:00 PM - 2:30 PM