Workshop 2 - Intro to Python

Seth Friesz, South Dakota State University

Dakota Room 250 A/C

1:00 PM - 5:00 PM

Workshop 3 - Text Data Analytics / NLP with Python

David Zheng, Dakota State University

Pheasant Room 253 A/B

1:00 PM - 5:00 PM

Session 1: Utilizing Cloud Resources to Develop and Deploy Machine Learning Solutions

Eric Stratman, ValidiFI

Dakota Room 250 A/C

9:50 AM - 10:50 AM

Session 2: AI-driven wheat yield and protein content forecasting using UAV remote sensing

Mohammad Maruf Billah, South Dakota State University
Maitiniyazi Maimaitijiang, South Dakota State University
Shahid Nawaz Khan, South Dakota State University
Swas Kaushal, South Dakota State University
Jonathan Kleinjan, South Dakota State University
Bruce Millett, South Dakota State University
Sunish K. Sehgal, South Dakota State University

Pheasant Room 253 A/B

9:50 AM - 10:50 AM

Session 2: The Effect of Boom Leveling on Spray Dispersion

Travis A. Burgers, South Dakota State University
Miguel Bustamante, Universidad Adolfo Ibáñez
Juan F. Vivanco, Universidad Adolfo Ibáñez

Pheasant Room 253 A/B

9:50 AM - 10:50 AM

Session 3: An ‘Arg’ to Comprehend Genetic Constraint

Suvobrata Chakravarty, South Dakota State University

Herold Crest 253 C

9:50 AM - 10:50 AM

Session 3: CancerTrialMatch: a web application for the curation and matching of clinical trials at a precision oncology center

Padmapriya Swaminathan, Avera Cancer Institute
Shivani Kapadia, Avera Cancer Institute
Anu Amallraja, Avera Cancer Institute
Casey Williams, Avera Cancer Institute
Tobias Meissner, Avera Cancer Institute

Herold Crest 253 C

9:50 AM - 10:50 AM

Session 4: Advancing Machine Learning Through Multilinear Subspace Methods

Cagri Ozdimir, South Dakota School of Mines and Technology
Randy C. Hoover, South Dakota School of Mines and Technology
Kyle Caudle, South Dakota School of Mines and Technology
Karen Braman, South Dakota School of Mines and Technology
Jackson Cates, South Dakota School of Mines and Technology

Pasque 255

9:50 AM - 10:50 AM

Session 4: An Overview of Deep Learning and Universality

Michael Puthawala, South Dakota State University

Pasque 255

9:50 AM - 10:50 AM

Session 5: Equipment Finance Securitization – Driving business value through advanced analytics

Ed Krueger, Channel
Landon Thomson, Channel
Sebastian Sowada, Channel

Dakota Room 250 A/C

11:00 AM - 12:00 PM

Session 6: Parallel and Distributed Query Engine for Federated Searching

Kyle Putnam, Query.AI

Pheasant Room 253 A/B

11:00 AM - 12:00 PM

Session 7: Finding Needles in Haystacks: Rare Category Detection using Semi-supervised Active Learning

Rohan Loveland, South Dakota School of Mines and Technology

Herold Crest 253 C

11:00 AM - 12:00 PM

Session 7: Robustness Analysis of Convolutional Layers in Image Classification Neural Networks

Gabriel Picioroaga, University of South Dakota

Herold Crest 253 C

11:00 AM - 12:00 PM

Session 7: Would AI Stocks Estimate Be as Surprised to USDA Stock Reports as Private Market Analysts?

Asif Mahmud Chowdhury, South Dakota State University
Matthew Elliott, South Dakota State University

Herold Crest 253 C

11:00 AM - 12:00 PM

Session 8: Assessing Error Rates in Multiple Examiner Groups using Regression Methods

Larry Tang, University of Central Florida

Pasque 255

11:00 AM - 12:00 PM

Session 8: Ensemble of Score Likelihood Ratios for the common source problem

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

Pasque 255

11:00 AM - 12:00 PM

Session 8: Statistical Discrimination Methods for Forensic Source Interpretation of Aluminum Powders in Explosives

Danica M. Ommen, Iowa State University
Christopher P. Saunders, South Dakota State University
JoAnn Buscaglia, Federal Bureau of Investigation

Pasque 255

11:00 AM - 12:00 PM

Poster Session

South Dakota State University

Volstorff B

1:00 PM - 2:00 PM

Session 11: Can machine learning predict particle deposition at specific intranasal regions based on computational fluid dynamics inputs/outputs and nasal geometry measurements?

Mohammad Mehedi Hasan Akash, South Dakota State University
Zachary Silfen, Boston University
Diane Joseph-McCarthy, Boston University
Arijit Chakravarty, Fractal Therapeutics
Saikat Basu, South Dakota State University

Herold Crest 253 C

3:00 PM - 4:00 PM

Session 11: Toward Online Data-Driven Control: The Theory, Methodology, and System Stability

Huitian Lu, South Dakota State University
Moses Rabai, South Dakota State University
Sean Edeki, South Dakota State University

Herold Crest 253 C

3:00 PM - 4:00 PM

Session 12: Active Learning to Minimize the Possible Risk from Future Epidemics

KC Santosh, University of South Dakota

Pasque 255

3:00 PM - 4:00 PM

Session 12: Analysis of State and Parameter Estimation Techniques using Dynamic Perturbation Signals

Timothy M. Hansen, South Dakota State University

Pasque 255

3:00 PM - 4:00 PM

Session 9: Don't solve the wrong problem! Cautionary tales of data science

Jeremy Werne, Allstate

Dakota Room 250 A/C

3:00 PM - 4:00 PM

Session11: Skip-GCN : A Framework for Hierarchical Graph Representation Learning

Jackson Cates, SDSMT
Justin Lewis, SDSMT
Randy Hoover, SDSMT
Kyle Caudle, SDSMT

Herold Crest 253 C

3:00 PM - 4:00 PM