Computer Science

Blueprints for Preservation

Lauren Leve and Jim Mahaney partner with Nepalese locals to bring religious heritage sites to life through interviews and digital tools.

Protecting Your Texts

Saba Eskandarian designs online messaging applications using cryptography, allowing users to report abusive content without compromising their privacy.

The Faces of AI

Roni Sengupta develops AI to modify images and works to make this technology more accessible to everyday creators.

Connecting Humans and Computers

For most of her life, Ayana Monroe has been fascinated by how people and computers connect — a field called human-computer interaction. Now, as a UNC-Chapel Hill junior and Chancellor’s Science Scholar, she engages in research to improve how we use technology to acquire information. She wants to teach the next generation to do the same.

The Sanctity of Cherokee

As a result of systemic oppression, there are fewer than 200 native Cherokee speakers in North Carolina. To keep the language alive and pass it to the next generation, UNC-Chapel Hill researcher and Eastern Band Cherokeean citizen Benjamin Frey has teamed up with computer scientists Mohit Bansal and Shiyue Zhang to create a new translation model and grow the literary library of works available in Cherokee.

Nihar Vaidya

Nihar Vaidya is a junior double-majoring in computer science and statistics and analytics within the UNC College of Arts & Sciences. He is also a Chancellor's Science Scholar. He uses computational neural networks to analyze brain patterns found in MRI data sets to predict when patients may encounter seizures caused by epilepsy.

Searching for Better Ways to Search

In 2000, researchers in the School of Information and Library Science’s Interaction Design Lab were at the forefront of information retrieval on the World Wide Web. While technology and research methods have changed in the past 20 years, the basic premise of their research has not: how people navigate the internet in search of information.

Mohit Bansal

Mohit Bansal is the John R. & Louise S. Parker Associate Professor in the Department of Computer Science within the UNC College of Arts & Sciences and a recipient of the 2020 Hettleman Award for Artistic and Scholarly Achievement. Through natural language processing and machine learning, he develops programs that help artificial intelligence technology understand and use human-like language.