Computing[MTU] Showcase, Fall 2022

Research Poster Session


Computing[MTU] Showcase student poster session

The College of Computing and the Institute of Computing and Cybersystems (ICC) hosted the second Computing[MTU] Showcase research poster session on Monday, October 10, 2022. Students from across campus in a variety of disciplines displayed their posters and discussed their research. 

Undergraduate winners

  • First Place: Dominika Bobik — “An Educational Modeling Software Tool That Teaches Computational Thinking Skills”
  • Second Place: Niccolo Jeanetta-Wark — “Performance Measurement of Trajectory Tracking Controllers for Wheeled Mobile Robots”
  • Third Place: Kristoffer Larsen — “A machine learning-based method for cardiac resynchronization therapy decision support”

Graduate winners

  • First Place: Shashank Pathrudkar — “Interpretable machine learning model for the deformation of multiwalled carbon nanotubes”
  • Second Place: Nicholas Hamilton — “Enhancing Visualization and Explainability of Computer Vision Models with Local Interpretable Model-Agnostic Explanations (LIME)"
  • Third Place (Tie): Zonghan Lyu — “Automated Image Segmentation for Computational Analysis of Patients with Abdominal Aortic Aneurysms”
  • Third Place (Tie): Tauseef Mamun — “When to be Aware of your Self-Driving Vehicle: Use of Social Media Posts to Understand Problems and Misconceptions about Tesla’s Full Self-Driving Mode”

Honorable Mentions

  • Dharmendra Pant — “DFT-aided Machine Learning-based discovery of Magnetism in Fe-based Bimetallic Chalcogenides”
  • Chen Zhao — “Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images”
  • Abel A. Reyes-Angulo — “GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification”
  • Suresh Pokharel — “Improving Protein Succinylation Sites Prediction Using Embeddings from Protein Language Model”

The authors of the research posters and each poster's title and abstract are listed below.

Poster Session Photos