Dec. 10, 2025
Industrial engineering grad has a passion for designing solutions
Caden Davis graduates in December 2025 with a bachelor’s degree in industrial engineering and a wealth of leadership experience in the lab, the workplace and on the court.
Dec. 9, 2025
Mizzou student earns Marshall Scholarship
Senior biological engineering major Josh Donaldson is one of 43 students from across the country to receive the honor.
Dec. 8, 2025
Information technology grad finds his perfect fit
Alexander J. Coker graduates with a minor in aerospace studies and certificates in cybersecurity, information systems and technology, and media technology and design.
Dec. 2, 2025
Mizzou Engineers finish second in SEC machining contest
Project MFG SEC Machining Competition showcased collegiate engineers representing their programs at the highest level.
Nov. 25, 2025
Open-source drone technology will democratize precision agriculture
An interdisciplinary collaboration showcases Mizzou’s leadership in advancing smarter farming with better data.
Nov. 17, 2025
Students compete in 2025 Artificial General Intelligence Mizzou Hackathon and Showcase
Wen-Hsin Chen, Samrat Kumar Dey, Jeong Wook Lee and Alina Rohulia won the competition in the exciting challenges of abstraction and reasoning in AI.
Nov. 12, 2025
PhD candidate earns Best Student Paper Award for physiological measurement study
Sara Mostowfi and collaborators propose that pupil dilation can reveal metacognitive processes in AR-based learning environments.
Nov. 12, 2025
Donaldson selected as Rhodes Scholarship finalist
The senior biological engineering major previously received the Truman Scholarship and Remington R. Williams Award.
Nov. 10, 2025
High-tech halftime: Marching Mizzou, engineering students debut innovative robot performer
The band partnered with the College of Engineering to blend technology, creativity and school spirit into a halftime show like no other.
Nov. 10, 2025
Mizzou Engineering researchers bring home award from International Symposium on Mixed and Augmented Reality
Researchers presented a highly effective, easy to use machine-learning model to reduce cybersickness with minimal impact.