Jun Nishida's Embodied Dynamics Laboratory is developing powerful wearable technologies to unlock the immense potential of human cognition, creativity and communication.
Soheil Feizi, a renowned expert in reliable and trustworthy AI, was also honored with the Presidential Early Career Award, the highest honor bestowed by the U.S. government for early-career researchers.
Jacob Taylor and Justyna Zwolak were recognized for their research that uses machine learning to automate the calibration of semiconductor quantum devices for quantum computing.
Furong Huang and Tom Goldstein led an international AI watermark-removal competition to assess the effectiveness of watermarking techniques for identifying AI-generated images.
Hernisa Kacorri is developing a dataset with real-world 3D motion-capture data and detailed descriptions that accurately capture what blind individuals encounter in an urban setting.
The prestigious honor recognizes, incentivizes and fosters collaborations between faculty at the University of Maryland, College Park and the University of Maryland, Baltimore.
Supported by seed funding from UMD's Brain and Behavior Institute, Najib El-Sayed is studying the genetic and brain circuit changes that are linked to opioid relapse behaviors.
Philip Resnik has also received seed funding to develop a computational framework of how the brain learns about, dynamically updates, and communicates with a social partner.
From quantum state designs to quantum advantage criteria, QuICS researchers had over a dozen accepted talks at the Quantum Information Processing Conference, plus a workshop tutorial.
He analyzes the complex interactions of thousands of quantum particles to gain insights into building quantum computers, with a focus on improving quantum communication, computation and simulations.
The QuICS co-director recently participated in a Reddit Ask-Me-Anything, sharing insights on quantum computing, quantum information science, and his work in quantum error correction.
In an op-ed for the Smith School, Lawrence Gordon advocates for his model that offers a cost-benefit framework to optimize cybersecurity investments, emphasizing AI's evolving, game-theoretic complexities.
University of Maryland Institute for Advanced Computer Studies | Brendan Iribe Center for Computer Science and Engineering 8125 Paint Branch Dr | College Park, MD 20742 US
