REU-PATHWAYS | INFO | FACULTY | APPLY
2023 REU-PATHWAYS Participants
Leveraging Parallel Processing for Advanced Graph Computations | Presentation
Professor: David Kaeli
Mentor: Kaustubh Shivdikar
Cleaning, Curation, and Communication of Home Metadata | Presentation
Professor: Michael Kane
Mentor: Katherine Bassett & Emma Casavant
Creating a Magnetic Field Gradient for Engineering of Magneto-Functional Materials
Professor: Laura Lewis
Mentor: Criss Zhang
Cross-Calibration and Visualization of Data for a Portable Air Quality Monitor | Presentation
Professor: Amy Mueller
Mentor: Ruifeng Song
Leveraging Parallel Processing for Advanced Graph Computations | Presentation
Professor: David Kaeli
Mentor: Kaustubh Shivdikar
Analyzing Infant Behavior Using Machine Learning | Presentation
Professor: Sarah Ostadabbas
Mentor: Elaheh Hatami
Demographic and Building Information for Residential Load Flexibility Data Set
Professor: Michael Kane
Mentor: Katherine Bassett & Emma Casavant
Mechanical Design of Sequential Injection Analysis System for Nitrate Sensing | Presentation
Professor: Amy Mueller
Mentor: Ben Eck
2022 REU-PATHWAYS Participants
Computational Design of Single Atom Catalysts for Electrochemical CO2 Reduction
Professor: Qing Zhao
Mentor: Pax Makhura
Information Theory to Pinpoint Causal Links from Complex Data
Professor: Rifat Sipahi
Mentor: Xu Wang
Relating Carbon Nanotube Network Structure to Mechanical and Viscoelastic Performance
Professor: Carol Livermore
Mentor: Ashkan Ghanavati, Chastity Kelly
Using Fourier Transforms to Disambiguate Microstructures of Ferromagnetic FeSiB Ribbons
Professor: Laura Lewis
Mentor: Criss (Xiaoyu) Zhang
Analog Computing Simulation Tool for Machine Learning Inference in Edge Biomedical Devices
Professor: Aatmesh Shrivastava
Mentor: Mostafa Abedi