ERSP | 2017-2018 Projects
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Sicun Gao group

Working on training a neural network that solves the famous Boolean satisfiability problem, using techniques of reinforcement learning and SAT solving.

Current Students

Yuda Song, Bingjie Zhou, Lixuan Lang, Junchi Zhou
Mentor

Prof. Sicun Gao

Ryan Kastner group

Working on using data from underwater sensing systems to classify direct and reflected waves from underwater creatures like shrimp for the purpose of localization and estimation of ocean depth.

Current Students

Isaac Castillo, Caitlyn Liu, Jiayue Sun, Bilguun Bulgan
Mentor

Prof. Ryan Kastner, Perry Naughton

Scott Klemmer group

Group 1 – Designing an online experimental tool for users to test their intuitions by conducting experiments and recording them on the tool.

Group 2 – Measuring the impact and effectiveness of CritiqueKit by using it to build a grading system for instructors and students.

Current Students

Kaung Yang, Orr Toledano, Shih-Chuan Ku, Luis Calona
Mentor

Prof. Scott Klemmer, Vineet Pandey, Tricia Ngoon

Rob Knight group

Working on generating more intuitive and less memory-intensive visualizations of phylogenies using trees.

Current Students

Kalen Cantrell, Yimeng Yang, Thant Htoo Zaw
Mentor

Prof. Rob Knight, James Morton

Julian McAuley group

Ranking the relevance of reviews from Amazon based on the query entered by the user, by extending an existing system Moqa.

Current Students

Lavanya Satyan, Mikhail Bulgakov, Jinrong Gong, Shan Hannadige
Mentor

Prof. Julian McAuley, Mengting Wan

George Porter and Geoff Voelker group

Testing the user-friendliness and efficiency of an existing video processing pipeline for deep learning applications, by developing two such applications using deep learning for object detection and optical character recognition, using the pipeline.

Current Students

Adrian Mendoza, Zheng Hao Tang, Elizabeth Guerrero, Elizabeth Farkas
Mentor

Prof. George Porter, Prof. Geoff Voelker, Shelby Thomas

Tajana Rosing group

Working on achieving competitively high accuracies and high efficiency across different datasets in order to establish hyperdimensional (HD) computing as a strong machine learning algorithm.

Current Students

Joyaan Bhesania, Robert Koepp, Val Gonzalez, Helen Shu
Mentor

Prof. Tajana Rosing, Mohsen Imani

Debashis Sahoo group

Working on collecting more cancer metastasis data for analysis, building a cancer specific database, and creating a user friendly website to visualize and analyze the data using MiDReG and other analytical tools such as the Gene Expression Commons, which can be used for gene expression profiling.

Current Students

Shanfeng Fang, Tina Chen, Wenyi Wang
Mentor

Prof. Debashis Sahoo

Deian Stefan group

Working on a streamlined approach to security in IoT devices by combining methods of implementing information flow control into a library.

Current Students

Kavya Ramamoorthi, Simran Gill, Barbara Vargas, Yuwei Zhou, Miranda Go
Mentor

Prof. Deian Stefan

Steven Swanson group

Working on measuring the impact of memory fence instructions in NOVA, a hybrid file system developed by Prof. Swanson and his lab.

Current Students

Yingzhen Qu, Qingchen Dang, Eric Perez
Mentor

Prof. Steven Swanson