ERSP | 2018-2019 Projects
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Sicun Gao group

Developing a 3D Reinforcement Learning environment for autonomous driving.

Current Students

Maria Paula Parga Nina, Gerard Maggliono, Tammy Mok, Moraa Ogamba
Mentor

Prof. Sicun Gao

Ryan Kastner group

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

Group 1: Developing an Hyperdimensional Computing algorithm for emotion recognition.

Group 2: Developing a machine learning model to predict light exposure and analyze circadian rhythms.

Current Students

Group 1: Roshan Fernando, Leyi Shang

Group 2: Jaikrish Chitrarasu, Rongrong Liu, Chau Vu, Brent VanZant
Mentor

Prof. Tajana Rosing

Rob Knight group

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

Current Students

Raechel Walker, Nicole Martindale, Christopher Robles, Brandon Espino Hernandez
Mentor

Prof. Rob Knight

Julian McAuley group

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

Current Students

Ethan Lan, Ganesh Valliappan, Chengzhu Duan, Fengbo Xia
Mentor

Prof. Julian McAuley

Leo Porter and Bill Griswold group

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.

Current Students

Group 1: Julia Markel, Nathan James Basa

Mentor

Prof. Scott Klemmer

Debashis Sahoo group

Analyzing asymmetric boolean relationships between microbiomes and discovering universal rules.

Current Students

Sara Safa, Shayal Singh, Daniella Vo
Mentor

Prof. Debashis Sahoo

                                                                                                                                               

                                                                                                                                       Esmaeilzadeh group

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

Current Students

Priyanka Priyadarshini, Iris Nayki, Jessica
Mentor

Prof. Esmaeilzadeh

                                                                                                                                    Jhala group

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

Current Students

David Febles, Daniel Wang, Kyle Lorenzo
Mentor

Prof. Jhala

 

                                                                                                                              Zhao group

Analyzing bottlenecks of memory mapping on different Linux kernels. [

Current Students

Darya Verzhbinsky, Shayan Raisi, Clair Li, Bonnie Dai
Mentor

Prof. Zhao

                                                                                                                                    Sorin Lerner group

Working on Gamification of Software Verification

Current Students

Priyal Suneja, Caroline Sih, Chun Chan, Dan Mu
Mentor

Prof. Sorin Lerner

                                                                                                                                           Deian Stefan group

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.

Current Students

Joseph Duan, Jose Jorge Jimenez-Olivas
Mentor

Prof. Deian Stefan