List of activities planned for the 2019 RECSEM REU program.
Using Machine Learning in Medical Imaging by Yijie Jin and Yifan Zheng
Research Area: Data Science and Machine Learning Tools |
Reconstruction of Compressed Images Using ML by Jane Gao and Zhipeng Zhu |
Traffic Flow Data Analysis by Brooklynn Hauck and Tracy Liu
Research Area: Data Science and Machine Learning Tools |
MagmanDNN : A Deep Learning Framework Machine by Sedrick Keh and Daniel Nichols
Research Area: Data Science and Machine Learning Tools |
Molecular Dynamics Simulations of Epoxy Resin Systems by Aiden Glaser Schoff and Tzu Hesin Tan
Research Area: Chemistry and Materials Science |
Computational Materials Science: for Monte Carlos Simulation using ML by Kam Fai Chan and Daniel Nichols
Research Area: Chemistry and Materials Science |
Machine Learning for Microscopy Simulation by Sedrick Keh and Daniel Nichols
Research Area: Chemistry and Materials Science |
License Plate Matching by David Ouyang, Kelvyn Sosoo, Mengjun Wang
Research Area: Engineering Applications |
EEG Waves Simulation by Joshsua Dunkley, Jeremy Liu, and Arden Gou
Research Area: Engineering Applications
|
Computational Mechanics Simulation by Carlos Estrada, Daniel Pledger, and Rocco Febbo
|
Autonomous Vehicle by Patrick Lau, Brendan Flood, and Daniel Nichols
Research Area: Engineering Applications
|
Accelerating Fast Fourier Transform with half-precision floating point hardware on GPU by Tullia Glaeser and Yangming Kang
Research Area: Numerical Libraries on Emergent Platform |
Hyperparameter Tuning for ML by Daniel Mcbride and Qiqi Ouyang
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GUI in openDIEL by Yan Yan Lam, Tze Hong Wong, and Omar Tafiti
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I/O in openDIEL by Rocco Febbo
Research Area: Mathematical and Computer Sciences
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