ERSP | 2019-2020 Projects
16128
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Sicun Gao group

Addressing the sim-to-real transfer problem by developing a 3-D bipedal walker simulation and applying reinforcement learning.

Current Students

Aarushi Shah, Thang Phan, Zachary Adler
Mentor

Prof. Sicun Gao

Taylor Berg-Kirkpatrick group

Developing text line extraction algorithms for printed historical documents from the early modern period (1500-1800 AD).

Current Students

Annie Wong, Eric Ke, Jason Vega, Nidhi Giridhar
Mentor

Prof. Taylor Berg-Kirkpatrick

Julian McAuley group

Predicting when a user on a fitness app will workout next based on various features of their workout.

Current Students

Andres Gutierrez, Sasami Scott, Steven Tsan, Sravya Balasa
Mentor

Prof. Julian McAuley

Alex Snoeren and George Porter group

Building a streamlined data visualization tool for optimizing reconfigurable data center networks.

Current Students

Christina Leung, Keshav Mittal, Malcolm McSwain, Yana Pyryalina
Mentor

Prof. Alex Snoeren and Prof. George Porter

Debashis Sahoo group

IBD (Inflammatory Bowel Diseases) currently has no effective cure. This web application will predict which types of IBD the patient have and which genes are good target for therapy, display the location of those genes, and suggest the mouse models to test the therapy. 

Current Students

Angela Wang, Anh Pham, Gabriela Shirley
Mentor

Prof. Debashis Sahoo

                                                                                                                                           Deian Stefan group

We are implementing the Memory-Safe WebAssembly (MS-Wasm) extension to the existing WebAssembly (Wasm) bytecode language. MS-Wasm expands on Wasm by adding support for memory-safe load and store operations, which exist in addition to Wasm’s memory-unsafe linear memory model to maintain MS-Wasm’s backwards-compatibility with existing Wasm programs.

Current Students

Aidan Denlinger, Alexandra Michael, Reesha Rajen
Mentor

Prof. Deian Stefan

                                                                                                                                            Voelker and Savage group

Analyzing resource files (HTML, CSS, Javascript, etc.) on webpages to determine their purposes and categorize them using a machine learning model.

Current Students

Aaron Wu, Eric Siu, Jeff Xu, Yohan Hezkiya
Mentor

Prof. Voelker and Prof. Savage

                                                                                                                                           Niema Moshiri group

With the existence of several programs that aim to model the transmission of HIV in communities, we have developed metrics to test how accurately these models prioritize individuals by risk of future outgoing transmissions. This work will be used to help compare the efficacy of different prioritization methods, while offering several ways for these programs to be tested. 

Current Students

Kim Almaraz, McKenna Lewis, Titan Ngo, Tyler Jang
Mentor

Prof. Niema Moshiri