Research Highlights

Whether it’s faculty unveiling new digital tools and technology, graduate students receiving accolades at a major conference or symposium, or an engaging profile featuring one of our dedicated support staff, our news highlights below showcase the depth and breadth of our research enterprise.

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April 1, 2026

Wiegreffe Receives Grant to Stress-Test the Future of AI Transparency

The $270K award from Coefficient Giving supports her efforts to strengthen AI safeguards.
March 31, 2026

AI’s Growing Energy Demands Raise Concerns About Infrastructure and Control

High-performance computing systems consume vast amounts of electricity, generating significant heat that can affect local environments, including water quality.
March 27, 2026

Spielman Named AAAS Fellow

The RQS senior investigator was recognized for his research that uses ultracold atoms to study a broad range of topics.
March 27, 2026

New UMD-FDA Collaboration to Advance Evaluation of AI-Enabled Medical Devices

Amitabh Varshney is leading an effort to develop new methods for assessing the reliability of AI- and machine learning-enabled medical devices.
March 25, 2026

New Quantum Workforce Report Highlights Need for Targeted Investment, Cross-Regional Coordination

The report calls for expanded community college programs, national resource sharing and stronger regional partnerships to build U.S. quantum talent pipeline.
March 23, 2026

UMD to Lead DARPA-Funded Effort to Accelerate Mathematical Discovery With AI

$2.6M GENIUS project aims to create AI ‘co-authors’ for complex math research.
March 23, 2026

Mid-Atlantic Microbiome Meet-up Marks 10th Anniversary with Focus on Engineering and Data-Driven Discovery

More than 120 researchers gathered at the University of Maryland to explore advances in computational and experimental microbiome science.
March 20, 2026

Designing AI That Never Sees Your Data

Natalie Lang is transforming encrypted machine learning from a theoretical challenge into a practical reality.
March 12, 2026

Making AI More Understandable—and Controllable

Sarah Wiegreffe is investigating the internal workings of LLMs, focusing on AI safety, reliability and giving users tangible control over how AI generates text.
March 11, 2026

TRAILS Announces 11 Broader Impact Awards to Cultivate Next Generation of Trustworthy AI Leaders

The funding incentivizes a wide range of stakeholders to engage with and influence the future of AI.