2023 Summer Research Scholars

The Summer Research Scholars (SRS) program supports students participating in collaborative research supervised by W&L faculty. The program aims to encourage the development of research techniques within a particular discipline, to promote the active acquisition of knowledge, and to stimulate student interest in inquiry.

Here are the 2023  Computer Science Department SRS students,  their faculty supervisors and descriptions of their projects:

Professor Taha Khan:

Professor Khan had 3 SRS students this summer — Bianca Pham ’26, Sarah Lathrop ’25 and James Xia ’26.  All three worked on the same project that focused on understanding how Internet users perceive what should happen to their data post bereavement. They also supported my AIM cybersecurity experience.

Bianca Pham '26
Bianca Pham ’26
James Xia '26
James Xia ’26
Sarah Lathrop '25
Sarah Lathrop ’25
(L-R) Sarah, Bianca, James and Prof. Khan
(L-R) Sarah, Bianca, James and Professor Khan

Professor Sara Sprenkle:

Professor Sprenkle also had 3 Summer Research Scholars — Petra Ilic ’24, Lakpa Sherpa ’25 and Ignas Volcokas ’25.  Below are the details about their projects.

Petra Iliac '24
Petra Iliac ’24

Petra Ilic 24, “Paying Down Technical Debt in the Ancient Graffiti Project” The Ancient Graffiti project began in 2013 as an online tool to study the lives of the common people in ancient Rome. In the ten years since then, new features and content have been added—as well as technical debt. Petra focused on making the application easier to develop and maintain for the next ten years.

Lakpa Sherpa '25
Lakpa Sherpa ’25

Lakpa Sherpa 25, “Detecting Anomalous Behavior through Clustering WebApplication User Sessions”. More than 30% of web traffic is bots trying to collect data or perform attacks to prevent the smooth delivery of services. Lakpa developed an automated framework to explore clustering to identify anomalous behavior.

Ignas Volcakas '25
Ignas Volcakas ’25

Ignas Volcokas 25, “Generating Cost-Effective Test Cases for WebApplications using Genetic Algorithms.” Web applications are popular and must be reliable and therefore must be thoroughly tested before every release. Since testing takes time, we want to execute the most cost-effective test suites. Ignas explored a variety of test-suite generating algorithms, with a focus on genetic algorithms, and compared the effectiveness of the generated test suites.