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CEM Senior Design Expo 2026

Virtual Expo Presentations

The CEM Senior Design Expo Competition defines a Prototype Project as a project that has a physical build. This can be in the form of an actual prototype product or as a proof of concept of a certain aspect of a product. Although simulations are typically used in design, physical testing is typically done to ensure the final product’s functionality.

AI-Enabled Multi Sensor Threat Detection

AI-Powered Resilient UAV Control

Air Force Aerospace Propulsion Outreach Program

Augmented Reality Stream Table

AR Geology Stream Table

Browser Enabled Construction Management Portal

Closed System Propulsion

Design of a 5MW Wind Turbine

Design of an Advanced Wastewater Treatment Plant

Fortress Wearable Security System

Fruitful Vending Machine

Fuel Injection Fault Control

John Deere Ground Speed Test Stand ME

John Deere Ground Speed Test Stand

Liquid Rocket Engine Test Stand

Low Noise Amplifier

Marvin Active Noise Control

Muskox Max Attach Weight Optimization

Network of Agents MYCA

NoSquito Ultrasonic Cement Cleaner

Open-Source Quadruped Robot

Pavewise Mobile Rain Gauge EE 22

Pavewise Mobile Rain Gauge ME

Real-Time Object Detection

RETRAX Pro Slat Redesign

UND Formula SAE

UND NASA Lunabotics

The CEM Senior Design Expo Competition defines a Process/Research Project as a project that is primarily based in at least one of the following: Software Simulation, Research & Development of Theoretical Concepts and/or Materials, or Process Improvement. Although physical test apparatuses can be built and used as part of these projects, they are not the focus of the goals and criteria for success.

Advanced Material Research (On Campus)

AI-Based Model Evaluation for MBSE

Design and Fabrication of a Processor

Evaluation and Design of UND Flight Operations Building

Hosting Capacity and Impact Assessment of Renewable Energy Sources

Intersection Design

John Deere Board to Board

John Deere: Leak Testing Electronic Assemblies

Large-Scale Additive Construction for 3D Printed Concrete Culverts

Machine Learning-Assisted Link-Level Simulation of 5G NR with HARQ

Marvin Windows: Cold Climate Cost-Effective Building Envelope Upgrades

Materials Research (Online)

Predicting the Risk of Relapse

Traffic and Operations Assessment

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College of Engineering & Mines

Upson II Room 165
243 Centennial Dr Stop 8155
Grand Forks, ND 58202-8155

701.777.2180 | UND.ceminfo@UND.edu

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