2017 - 2018 Projects

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

Students: Yuda Song, Bingjie Zhou, Lixuan Lang, Junchi Zhou

Mentor: Prof. Sicun Gao

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.

Students: Isaac Castillo, Caitlyn Liu, Jiayue Sun, Bilguun Bulgan

Mentor: Prof. Ryan Kastner, Perry Naughton

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

Students: Kaung Yang, Orr Toledano

Mentor: Prof. Scott Klemmer, Vineet Pandey

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

Students: Shih-Chuan Ku, Luis Calona

Mentor: Prof. Scott Klemmer, Tricia Ngoon

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

Students: Kalen Cantrell, Yimeng Yang, Thant Htoo Zaw

Mentor: Prof. Rob Knight, James Morton

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

Students: Lavanya Satyan, Mikhail Bulgakov, Jinrong Gong, Shan Hannadige

Mentor: Prof. Julian McAuley, Mengting Wan

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.

Students: Adrian Mendoza, Zheng Hao Tang, Elizabeth Guerrero, Elizabeth Farkas

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

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.

Students: Joyaan Bhesania, Robert Koepp, Val Gonzalez, Helen Shu

Mentor: Prof. Tajana Rosing, Mohsen Imani

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.

Students: Shanfeng Fang, Tina Chen, Wenyi Wang

Mentor: Prof. Debashis Sahoo

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

Students: Kavya Ramamoorthi, Simran Gill, Barbara Vargas, Yuwei Zhou, Miranda Go

Mentor: Prof. Deian Stefan

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

Students: Yingzhen Qu, Qingchen Dang, Eric Perez

Mentor: Prof. Steven Swanson