Computing[MTU] Showcase Poster Session Winners Announced
The Institute of Computing and Cybersystems (ICC) is pleased to announce the winners of the Computing[MTU] Showcase Poster Session of Oct. 10. Congratulations and thanks to all the graduate and undergraduate students who presented their research posters!
Please visit the showcase's Research Poster Session page to view the poster abstracts and photos from the event.
The undergraduate winners are:
- 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”
The graduate winners are:
- 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”
Entrants receiving honorable mentions are:
- 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”
Read more on the ICC Blog.