Protecting Abuse Survivors from the Intimate Adversary in the Age of AI
Computer science Ph.D. student Julio Poveda is making AI safer for domestic violence survivors by focusing on security threats from abusive partners.
Repurposing Cancer Research to Defeat a Disfiguring Tropical Disease
With new NIH funding, Najib El-Sayed is repurposing cancer-fighting inhibitors to block the metabolic “off-switch” Leishmania uses to hijack the immune system.
Synthesizing Code and Chords: UMD Doctoral Student Benchmarks AI in Software Security
Computer science Ph.D. student Steven Shen applies the same creative process to producing electronic music as he does to studying AI and security.
Four UMIACS-Affiliated Faculty to Receive CMNS Awards
This year’s recipients were recognized for work spanning artificial intelligence, climate science, student mentorship, and interdisciplinary education.
UMD Framework Used to Test Safety of Meta’s New Multimodal AI Model
Furong Huang is co-leading efforts involving AI safety testing under simulated operational pressure.
Director's Message to UMIACS April 2026
UMIACS was founded more than 40 years ago as an interdisciplinary research powerhouse. While we continue to uphold that standard, our efforts have expanded to include activities that educate and empower broader communities.
Patro Receives BBI Seed Funding for Laser-Tagging Study of Brain Cells
The new approach marks individual cells with light, allowing researchers to link a cell’s genetic makeup to its response during stimulation and behavior.
Connect with UMIACS
Thank you for your interest in the University of Maryland Institute for Advanced Computer Studies (UMIACS). We invite you to explore our research, connect with our community, and stay informed about our latest work.
Explore Our Research
Learn more about our centers and interdisciplinary labs through the listings below.
Activity Kits Engage the Next Generation of Quantum Scientists
The kits use polarizing light filters to introduce superposition and measurement to secondary students across multiple states.
How Generative AI Works—and Why It Can Mislead Users
TRAILS researcher David Broniatowski explains the pattern-based systems behind tools like ChatGPT, and the risks that come with them.