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RECSEM 2019

2019 Projects ToC

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

Research Area: Data Science and Machine Learning Tools

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

 

Research Area: Engineering Applications

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

 

Research Area: Mathematical and Computer Sciences 

GUI in openDIEL by Yan Yan Lam, Tze Hong Wong, and Omar Tafiti

 

Research Area: Mathematical and Computer Sciences

I/O in openDIEL by Rocco Febbo

Research Area: Mathematical and Computer Sciences