Sam Russ ’24 BS in Computer Science, has received the Air Force ROTC (AFROTC) Distinguished Graduate Award, which is awarded to the top 10% of Air Force ROTC graduates from all universities nationwide. A second AFROTC graduate, Nicholas Drechsler BS in Mechanical Engineering, also received the Distinguished Graduate Award this spring. The Distinguished Graduate (DG) . . .
Graduate student Daniel Byrne, PhD in Computer Science, will present his final oral examination (defense) on May 14, 2024, a 9 am in Rekhi 214 and via Zoom online meeting. The title of Byrne’s defense is, “Model Guided Optimization for Key-Value Caches.” Byrne is advised by Department of Computer Science faculty members Zhenlin Wang and . . .
The College of Computing is pleased to announce that the 2024 Gateway magazine is now available online. From data science, health informatics, and mechatronics to cybersecurity, alumni entrepreneurs, and esports, the new Gateway magazine introduces the students, alumni, and faculty that make it all happen in the College of Computing and beyond.
The College of Computing is pleased to congratulate our Class of 2024 graduates! This spring’s candidates are below. The Graduate Student ceremony will be held Friday, April 26, 2024 at 3:00 p.m. The Undergraduate Student ceremony will be held Saturday, April 27, 2024 at 10:30 a.m. Both ceremonies take place in the MacInnes Student Ice . . .
Trent Betters ’24 BS in Computer Science, and Assistant Professor Briana Bettin, Computer Science and Cognitive and Learning Sciences, were among those recognized at the inaugural McNair Scholars Graduation recognition dinner on April 19, 2024, hosted the McNair Scholars program and the the Office of Diversity and Inclusion. This first cohort of Michigan Tech’s McNair . . .
PhD student and instructor Harikrishnan Changarnkothapeecherikkal, Computational Science and Engineering (CSE), Department of Applied Computing, has received the Outstanding Graduate Student Teaching Award from Michigan Tech’s Graduate School. Changarnkothapeecherikkal’s teaching Interests include clinical decision support systems, health informatics fundamentals, deep learning and neural networks, and computer vision and image analysis.