Vlad Nitu
Degree: Bachelor of Science in computer and information science, information systems concentration
Awards, Honors and Distinction: University Honors (F22-W25), William J. Branstrom Freshman Prize, James B. Angell Scholar (2024, 2025)
Scholarships: Excellence Scholarship (2022-2025)
Academic Achievements and Internships: As part of his Senior Design project, Nitu worked with the Friends of the Rouge to design a machine learning model and architecture to determine frog species based on their recorded calls, map their location and then save all data to a database. He also contributed to the development of an AI-based app that uses the model. This helps Friends of the Rouge volunteers to streamline their ecological monitoring in the Rouge River area, as well as easily and efficiently gather and store data. He also took part in the Summer Undergraduate Research Experience and researched active learning methods, where an AI model can select the most informative data, maximizing performance while keeping the amount of data minimal. The project also involved filtering out incorrect noisy labels based on loss and autonomously fixing them using similarity measures. This project, presented at the 2025 SURE Showcase, showed promise for cost-efficient means of training machine learning models that can handle potentially inaccurate data. Nitu continued this work into his final semester with the aim of publication.
“Vlad demonstrated exceptional research maturity during his work on the SURE project,” observed Assistant Professor of Computer and Information Science Srijita Das, who was Nitu’s SURE faculty mentor. “He quickly grasped advanced concepts and complemented this understanding with effective hands-on implementation of research ideas. His contributions have enabled us to make significant progress toward addressing an important challenge: building machine learning models from less data while handling annotation errors — issues that frequently arise in domains such as computer vision and natural language processing. This work will be submitted soon in an esteemed conference for publication.”
Extracurricular and Community Projects: MASA-Dearborn rocketry club, Artificial Intelligence Club, computer science tutoring, Forgotten Harvest volunteer
Serving as this year’s lead for the dashboard project of MASA-Dearborn, Nitu worked on and led a team that created a program to display the trajectory and all data streamed from a rocket in real time as it transmits sensor readings during its flight. The program will be utilized at the 2025 International Rocketry Engineering Competition. The previous year’s work focused specifically on aggregating GPS and altimeter data for a real-time 3D trajectory visualization.
Future Plans: Nitu hopes to continue in the field of artificial intelligence development and research, designing novel and efficient means of using AI to help people and companies.