Computing Graduates: Past, Present, and Future

“I'm excited to begin my faculty journey at Michigan Tech and I look forward to helping our students continue to learn skills that will allow them to create the future,” Bettin says. “Michigan Tech has always been an amazing place for me—the opportunity to continue to give back to this place that has given me so much is something I'm very grateful for.” Read the full story here.

Jason Hiebel, Ph.D. '19, the 1st College of Computing graduate, has been studying, teaching, and researching CS and mathematics at Tech since 2007. “Graduating when I did, and becoming the first Ph.D. for the College of Computing, was really a fluke of timing,” he says. “But after all my time here in Houghton and with the Computer Science department, I am pleased to have the honor of being the college's first Ph.D. It's something that can be mine and mine alone, and I'm okay with being a little bit greedy about it!” Read the full story here.

Fourth year Computer Science major Elijah Cobb '20, awarded Summer Undergraduate Research Fellowship. Cobb will conduct his SURF research project, “Designing Scaffolded Interactive Instruction in Discrete Mathematics,” with Associate Professor Charles Wallace, Computer Science. Open to all Michigan Tech undergraduates, SURF recipients conduct a research project, prepare periodic progress reports, and attend a series of professional development seminars over the summer. Read the full story here.

Computing majors, including many graduation candidates, participated widely at Michigan Tech’s Design Expo 2020, held virtually this April. Participating Enterprise Teams included Humane Interface Design Enterprise (HIDE), IT Oxygen, and Husky Game Development (HGD). College Senior Design Teams developed a cybersecurity “Penetration Testing Course,” a “Cloud Computing Cost Analysis,” and an “Automated Distributed Configuration Management Systems.” Learn more.

Husky Game Development (HGD), a student Enterprise focused on developing video games, won Honorable Mention accolades at Design Expo 2020, presented virtually this April. The winning project, “Lost in Mazie Mansion,” is a 2D mystery-puzzle game. To win, you’ll need the help of Mazie. Dodge monsters patrolling the halls, solve puzzles, and find the keys to get Mazie’s memory back. View a video and View a video and learn more.

Daniel Madrid ’10, Computer Network and Systems Administration, has been elected to a six-year term on the Michigan Tech Alumni Board of Directors. Madrid is a product manager for Ford Motor Company, where he has worked for nine years. He is also a member of Ford's Michigan Tech Recruiting team. The Alumni Board is a group of volunteers elected from around the country. Board members work with the Alumni Engagement team to develop and support programs for students and alumni. Read the full story here.

For his CS 4099 Directed Study class in fall 2019, fourth-year Computer Science major Keith Atkinson developed and deployed a Food Inventory System (FIS) for the Husky Food Access Network (HuskyFAN) Food Pantry, which allows pantry staff to quickly know what they have in their inventory. Learn more.
Check out these videos from Class of 2020 graduates.

My Michigan Tech: Michael Dabish '20, CNSA

My Michigan Tech: Ryan Higbie '20 MS, Health Informatics

My Michigan Tech: Parker Young '20, Software Engineering
Meet some of our faculty members.

Todd Arney, lecturer, Applied Computing/CMH/MERET, received the Provost's Award for Sustained Teaching Excellence, an elite new teaching award that celebrates the work of individuals whose teaching consistently and dramatically benefits students. Learn more.

Leo Ureel, lecturer, Computer Science, was featured in the Deans’ Teaching Showcase the first week of April. Ureel is also coordinator of the College of Computing Learning Center (CCLC). Learn more.

How can the cost-effectiveness of healthcare be improved, especially for complicated chronic diseases? This is the question Weihua Zhou, assistant professor, Health Informatics, is seeking to answer in his multi-disciplinary research merging medical imaging and informatics, computer vision, and machine learning. Learn more.