BU RISE: Research Internship in Science and Engineering (High School Summer Program)
Most summers, we host students in our lab for the 6-week summer research program for rising high school seniors.
Students we hosted as part of the BU RISE program, their internship topics and posters are listed below.
Year | Name | Topic |
2024 | Reyna Alam | Automated Classification of Electrocardiogram Data With Machine Learning, Poster |
2024 | Alan Zhou | Temperature Prediction in Monolithic 3D Using Machine Learning Based Models, Poster |
2023 | Sonya Hong | Automated Classification of Electrocardiagram Data Using Machine Learning, Poster |
2022 | Richard Chen | Web Application for HPC Anomaly Diagnosis, Poster |
2022 | Kyra Terez | Web Application for HPC Anomaly Diagnosis, Poster |
2021 | Sifa Wangia | Using IT Power and Outdoor Temperature Data to Predict Total Power Consumption, Poster |
2021 | Sophia Holland | ARIMA-Based IT Power Forecasting, Poster |
2018 | Eileen Zhang | Runtime Power Estimation for Mobile CPUs with Performance Monitoring Counters and Machine Learning, Poster |
2017 | Clarissa Wong | Detecting Anomalies in User Profiles in the Cloud via Machine Learning, Poster |
2016 | Richard Lee | Measuring the Effects of a Record and Replay Tool on Android Application Fuzz Testing, Poster (Main Project Advisor: Prof. Manuel Egele) |
2016 | Vanessa Lin | Deterministic Replay for User-Interactive Android Applications, Poster |
2015 | Victor Sun | Power Management on State-of-the-Art Mobile Processors, Poster |
2015 | Andrea de Oliveira | Power Profiling on Mobile Platforms, Poster |
2014 | Ari Cotler | Power Aware Computing Hardware Management Software for Android Mobile Systems, Poster |
2012 | David Mace | Acceleration-Based Gesture Recognition Using a Fuzzy Neural Network Variant, Poster |
2011 | Yassine Mouline | Detection of Parkinson’s Disease with Programmable Watch using Empirical Mode Decomposition and Hilbert-Huang Transform, Poster |