The funding will support his research aimed at simplifying email encryption for users.

He and Ph.D. student Wikum Dinalankara developed an anti-profile method to classify tumors, improving predictions of cancer survival and relapse.

They will develop tools to improve Android app privacy by making permission usage more transparent.

He was recognized for his research on a new method for constructing secure one-time memories based on quantum physics.

He spoke about the future of secure computation.

She studies quantum algorithms and process tomography to explore how quantum computers can solve problems faster than classical ones and improve error characterization methods.

The funding will help enhance the open-source Bioconductor software, which aids in analyzing genomic data for cancer and other diseases, by improving data visualization and analysis tools.

In the paper, he analyzes software vulnerability-related information available on Twitter.

Mihai Pop and Stephen Mount are guiding UMD freshmen in sequencing the genome of the diamondback terrapin, integrating wet lab and DNA sequencing skills into the First Year Innovation and Research Experience program.

She highlighted risks like phishing and password reuse.