2018-2019 Projects


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SICUN GAO GROUP

SicunGao_group.pdf

Developing a 3D Reinforcement Learning environment for autonomous driving.

Students: Maria Paula Parga Nina, Gerard Maggliono, Tammy Mok, Moraa Ogamba

Mentor: Prof. Sicun Gao

RYAN KASTNER GROUP

Kastner_group.pdf

Developing a tool to detect and fix information leaks and also provide more analysis on the leakage.

Current Students: Amir Uqdah, Alvin Zhang, Lisa Luo, Christie Lincoln

Mentor: Prof. Ryan Kastner

TAJANA ROSING GROUP 1

rosing_group1.pdf

Developing an Hyperdimensional Computing algorithm for emotion recognition.

Students: Roshan Fernando, Leyi Shang

Mentor: Prof. Tajana Rosing

TAJANA ROSING GROUP 2

rosing_group2.pdf

Developing a machine learning model to predict light exposure and analyze circadian rhythms.

Students: Jaikrish Chitrarasu, Rongrong Liu, Chau Vu, Brent VanZant

Mentor: Prof. Tajana Rosing

ROB KNIGHT GROUP

knight_group.pdf

Developing a classifier to characterize metagenomic sequences to help in treatment of diseases.

Students: Raechel Walker, Nicole Martindale, Christopher Robles, Brandon Espino Hernandez

Mentor: Prof. Rob Knight

JULIAN MCAULEY GROUP

mcauley_group.pdf

Building a classifier to analyze if customers engage with the products that they purchase.

Students: Ethan Lan, Ganesh Valliappan, Chengzhu Duan, Fengbo Xia

Mentor: Prof. Julian McAuley

LEO PORTER AND BILL GRISWOLD GROUP

porterGriswold_group.pdf

Developing an application for early prediction of at-risk students by analyzing clicker responses.

Current Students

Agnes Garcia, Tianheng Ma, Yuet Ming Joyce Yue

Mentor: Prof. Leo Porter, Prof. Bill Griswold

SCOTT KLEMMER GROUP


Developing a digital assistance tool that incorporates speech and gestures to provide more information to the user.

Students: Group 1: Julia Markel, Nathan James Basa

Mentor: Prof. Scott Klemmer

DEBAHASIS SAHOO GROUP

sahoo_group.pdf

Analyzing asymmetric boolean relationships between microbiomes and discovering universal rules.

Students: Sara Safa, Shayal Singh, Daniella Vo

Mentor: Prof. Debashis Sahoo

ESMAEILZADEH GROUP

Esmaeilzadeh_group.pdf

Analyzing performance and efficiency of deep learning algorithms on different hardware platforms.

Students: Priyanka Priyadarshini, Iris Nayki, Jessica

Mentor: Prof. Esmaeilzadeh

JHALA GROUP

jhala_group.pdf

Developing tools to provide better debugging features and error fixes in OCaml

Students: David Febles, Daniel Wang, Kyle Lorenzo

Mentor: Prof. Jhala

ZHAO GROUP

zhao_group.pdf

Analyzing bottlenecks of memory mapping on different Linux kernels. [

Students: Darya Verzhbinsky, Shayan Raisi, Clair Li, Bonnie Dai

Mentor: Prof. Zhao

SORIN LERNER GROUP

lerner_group.pdf

Working on Gamification of Software Verification

Current Students: Priyal Suneja, Caroline Sih, Chun Chan, Dan Mu

Mentor: Prof. Sorin Lerner

DEIAN STEFAN GROUP

stefan_group.pdf

Analyzing current usage of the visited link style within modern web pages and determine whether there are prevalent flaws that can allow visited link attacks to occur.

Students: Joseph Duan, Jose Jorge Jimenez-Olivas

Mentor: Prof. Deian Stefan