PhD student Dylan Gaines, Computer Science, has received a spring 2024 Research Excellence Fund (REF) award from the Vice President for Research Office (VPR). The principal investigators of all spring 2024 REF Research Seed Grants are: The REF team thanks the individual REF reviewers and review panelists, as well as the deans and department chairs, . . .
By Cyndi Perkins; from Michigan Tech News; published May 14, 2024 For their work to ensure that information on mainstream mobile devices can be stored securely and deleted permanently, Bo Chen and Niusen Chen have been honored with Michigan Tech’s 2024 Bhakta Rath Research Award. Michigan Technological University cybersecurity expert Bo Chen and his graduate . . .
Professor Charles Wallace, Computer Science, is among the recipients of a spring 2024 Research Seed Grant award from the Institute for Policy, Ethics, and Culture (IPEC). The full list of recipients is below. The grant will support two Computer Science undergraduate students, Nat Anderson and Joe Halcombe, during summer 2024 as they assist Computer Science . . .
Michigan Tech’s cybersecurity research program has been recognized nationally for its academic and research excellence. Michigan Technological University has been designated as a National Center of Academic Excellence in Cyber Research (CAE-R) by the U.S. National Security Agency (NSA). The CAE-R designation recognizes Michigan Tech as meeting rigorous requirements set forth by the NSA and . . .
Tick Talk, the crowdsourcing tick collection project conducted last year at Michigan Tech, has returned for a second year. Tick collection has already begun for 2024. MTU’s Genomic Sequencing Lab wants ticks from you, your family and your pets. The goal of this project is to identify the prevalence of tick-borne illnesses in the Copper Country. Please . . .
A paper by graduate student Pawel Pratyush, PhD in Computer Science, has been published in Bioinformatics, a publication of Oxford University Press and a top journal in the bioinformatics field. The title of the paper is, “LMCrot: An enhanced protein crotonylation site predictor by leveraging an interpretable window-level embedding from a transformer-based protein language model.” . . .