Activities · Mehmed K. Uludag

Michigan Autonomous Aerial Vehicles (MAAV)

I joined MAAV during my first semester at Michigan (Winter 2022), and it became one of the highlights of my undergraduate career. I held multiple leadership roles: software lead, vice-president, and president.

I had so much fun applying coursework from my EECS classes to a small board attached to motors and watching it fly autonomously. I worked on computer-vision tasks to color-mask and filter the communication mast from its surroundings.

Rowing

I started rowing in my freshman year of high school and developed a deep passion for it — partly for the physical and mental benefits of a daily outdoor workout, but largely for the community I became part of. Rowing with the Michigan Men's team made me far more deliberate with my time; I spend less on the unnecessary and constantly look to maximize my efficiency.

PJTL Tech Lab

I was admitted to a year-long PJTL Tech Lab project and paired with a local start-up, Utilidata. Working inside a start-up had long been a goal of mine, and the hands-on experience helped me understand the realities of that environment.

First Conference

On April 10, 2024, I attended the ACM Symposium on Applied Computing in Ávila, Spain to present my first research paper. It was an amazing experience — I got great feedback and met wonderful people from around the world. It solidified my desire to pursue a research-oriented career and attend grad school.

Midwest RCD Symposium 2024

Through my research and my part-time role at ITS ARC (Advanced Research Computing), I am a frequent user of Michigan's high-performance clusters. I attended the Midwest Research Computing and Data Consortium Annual Meeting, where I met faculty, staff, and supercomputing professionals from across the Midwest. I was paired with Scott Hampton, Associate Director of HPC at Notre Dame, whose insights on career pathways were invaluable.

Bosch Internship

Over the summer of 2024 I interned at Bosch in the Cross Computing department, on the Automated Park Assist (APA) team. My biggest project was an auto-labeler that took height-classification traces and drew bounding boxes around objects, using object classification and coordinate-system manipulation to produce exact local coordinates — replacing a manual labeling process that cost $3 per trace.