2017 - 2018 Projects
SICUN GAO GROUP
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
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.
Students: Isaac Castillo, Caitlyn Liu, Jiayue Sun, Bilguun Bulgan
Mentor: Prof. Ryan Kastner, Perry Naughton
SCOTT KLEMMER GROUP 1
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
SCOTT KLEMMER GROUP 2
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
ROB KNIGHT GROUP
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
JULIAN MCAULEY GROUP
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
GEORGE POTTER AND GEOFF VOLKER 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.
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.
Students: Joyaan Bhesania, Robert Koepp, Val Gonzalez, Helen Shu
Mentor: Prof. Tajana Rosing, Mohsen Imani
DEBAHASIS 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.
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.
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.
Students: Yingzhen Qu, Qingchen Dang, Eric Perez
Mentor: Prof. Steven Swanson