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Imagine sitting at home, listening to music you enjoy, and a secret, malicious audio message—imperceptible to human ears—tells your home assistant to transfer money from your bank account. Computer science associate professor Qiang Zeng is developing a way to fight such silent attacks.

911���� researcher Alex Brodsky is developing technology to help organizations make complex decisions about how to manage energy resources and evaluate potential investments.

Parkeye is the new parking app developed by 911���� students that will predict parking availability, help users find lots that match their permits, and provide information about parking changes and closures.

PhD student Shiwei Hong developed a collaborative multi-agent AI system that mimics a comedy writers’ room, demonstrating that discussion and feedback among agents improve the quality of machine-generated humor.

Aayush Yadav co-authored a paper that received a Distinguished Paper Award from the IEEE Symposium on Security and Privacy, one of the industry’s premier conferences in the security field.

Fueled by “the love of the game,” a team of Mason Autonomy and Robotics Center students overcame GPS‑free technical challenges to take first place at the 2026 Raytheon Autonomous Vehicle Competition.

A CEC professor's longstanding relationship with NVIDIA is bringing AI leaps to campus.

David Eichinger’s journey from Navy Reservist and federal scientist to graduate researcher in robotics shows how 911����’s flexible, veteran‑supportive computer science master’s program empowers non‑traditional students to build new careers with confidence.

911���� is preparing students to transform setbacks into stepping stones with a “Fail-a-Thon," a hackathon event where failing forward is the goal. The event, hosted by the College of Engineering and Computing, encouraged students to explore bold ideas under two themes: artificial intelligence (AI) for everyday challenges and tech for well-being and creativity.

911���� faculty and students identified an important vulnerability in anonymization of health data. They recently presented a paper on the findings at one of the world's most prestigious computer security conferences.