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Eight UMIACS faculty will participate in the workshop, offering expertise and knowledge in a team-based setting that provides a positive intellectual, social and emotional environment.

The papers cover hot topics like key management for cryptocurrencies, post-quantum cryptography, fuzzy message detection and more.

The system will have the capability to significantly improve upon the sound available to aviators in aircrafts to increase their situational awareness, reduce listener fatigue and improve reaction time.

The program, now in its third year, aims to support machine learning researchers from underrepresented groups as they pursue new scientific discoveries and academic opportunities.

The researchers published their work in September in PLOS Computational Biology.

A team of researchers in the Computational Linguistics and Information Processing (CLIP) Laboratory are using computational modeling to investigate learning mechanisms that can help listeners adapt their speech perception of a new language.

Soheil Behnezhad and Nitin J. Sanket are this year’s recipients of the award, which recognizes outstanding dissertations that convey excellence in technical depth, significance, potential impact and presentation quality.

He has been selected to serve on a steering committee dedicated to advancing policy and practical considerations involving virtual, augmented and mixed reality (XR) technologies.

He played a key role as part of a team that developed Sailfish, an open-source software tool for the quantification of gene expression from RNA sequencing data.

Min Wu has been awarded $1.2 million from the National Science Foundation to develop a better understanding of testing for cardiovascular conditions with artificial intelligence.