Graduate Students
Graduate students are an important part of the University of Maryland Institute for Advanced Computer Studies (UMIACS). Students are initially admitted to the campus through one of the graduate programs to which our faculty belong, then join the institute when they join the labs of our faculty. Many of our centers offer the opportunity for graduate students to collaborate with faculty and other graduate students from diverse academic disciplines. Machine learning experts working with computational linguists, or data scientists working with biologists, are but a few examples. All of this graduate work is supported by cutting-edge computational resources and technical support that we believe are unequaled on the University of Maryland campus.
Graduate Students In the News
Optimizing Computational Dataflow with Machine Learning
Sanjali Yadav has developed a novel machine learning approach that enables adaptive and intelligent hardware, boosting dataflow efficiency and reducing energy…
Bridging Quantum Chemistry and Machine Learning for a Greener Future
To help improve our environment, Phillip Pope is developing machine learning methods to accelerate chemical simulations, with the goal of discovering new…
CLIP Graduate Student Merges Psycholinguistics and Technology to Enhance Large Language Models
Sathvik Nair’s work is supported by a competitive NSF Graduate Research Fellowship.