Graphic with "Faculty Sponsored Team" at the top, mentors Perry Samson and Kevyn Collin-Thompson, and the project title, "CLUES: Contextual Linkages for Undergraduate Education System" on the bottom. On the right, a happy woman wearing headphones uses her computer, with the CLUES logo and graphics surrounding her.
The CLUES Project uses artificial intelligence methods to index both what was said and visually presented in class sessions. Through this innovation an unprecedented data set is being created that identifies the knowledge being transmitted in college courses and allows students the ability to search for specific moments in their class sessions.
Graphic with "Faculty Sponsored Team" at the top, mentor Paul Green, and the project title, "SIM: Real-Time and Virtual Driving Simulator" on the bottom. On the right, a digital rendering of a city road with cars driving and pedestrians walking across.
To assess vehicle safety and ease to operation, we will improve upon the design of a virtual driving simulator through open-source software, simple hardware, and virtual roadway and scenario simulation.
Graphic with "Faculty Sponsored Team" at the top, mentors Monica Jones and Jingwen Hu, and the project title, "Adaptive Design: for Safety Equity through Human Modeling" on the bottom. On the right, a skeleton in a driving position floats next to its original body driving a deconstructed car.
Researchers at the University of Michigan Transportation Research Institute (UMTRI) have been improving accident impact simulations by broadening the types of body sizes and shapes considered. Students will develop parametric human body models that are capable of testing wide ranges of body sizes, types, and shapes to help create better adaptive and personalized designs for human safety and mobility.
Graphic with "Faculty Sponsored Team" at the top, mentor Shai Revzen, and the project title, "Mu-RoAM: Multilegged Robots and Animal Motion" on the bottom. On the right, a six-legged robot with small lights lining the body.
This faculty research team uses core principles of animal locomotion to create advanced robot technologies by distilling their mathematical principles and using machine learning automation.
Graphic with "Faculty Sponsored Team" at the top, mentor Yang Zhang, and the project title, "Atombot: Swarm Robotics and Collective Intelligence" on the bottom. On the right, a group of three small robots and two others in the background.
This Atombot project will build a controllable miniature swarm robot system, based on a prototype developed by the Z Lab, study the fundamental emergent behavior of many-robot systems, and explore mission-critical applications in homeland security.
Graphic with "Faculty Sponsored Team" at the top, mentor Arvind Rao, and the project title, "DIAG: Diagnostic Intelligent Assistance for Global Health" on the bottom. On the right, a bright web of medicine-related graphics sits in front of a doctor.
As therapies for cancer become more available world-wide, there is a need to develop screening tools to diagnose potential patients overcoming geographical and economic limitations. This faculty research team will develop software-based tools to facilitate diagnosis and interpretation of cancer image data.
Graphic with "Faculty Sponsored Team" at the top, mentor Ivo D. Dinov, and the project title, "SOCR: Data Science Inference, AI Forecasting, Spacekime Representation & Predictive Analytics" on the bottom. On the right, a group of medical residents view a computer screen and discuss together.
The Statistics Online Computational Resource (SOCR) is an online platform including web-services and advanced methods in probability, statistics, and machine learning in the health sector. This team will develop an enhanced analysis and visualization toolbox with an emphasis on “Big Data” - very large datasets that are difficult to analyze and interpret in meaningful ways with basic probability and statistical methods.
Graphic with "Faculty Sponsored Team" at the top, mentor Xiaogan Liang, and the project title, "Mapleseed: Microdrone and Wireless Sensor Network Team" on the bottom. On the right, a blue wheel-track robot with robot parts in the background.
Wireless sensor networks (WSN) are needed for studying Earth’s climate and for real time monitoring of the spread of viruses or pathogens such as those related to Covid-19. The Mapleseed team aims to develop miniaturized robotic vehicles (e.g., microdrones, mini-airplanes, and rovers) capable of carrying various sensors and automatically measuring certain atmospheric parameters and particle/virus concentrations in targeted spaces.
Graphic with "Industry Sponsored Team" at the top, the Aptiv logo, and the project title, "Aptiv: ADAS Sensor Characterization for Virtual Simulation" on the bottom. On the left, a white car with "APTIV" printed on the side.
Aptiv is working towards a realistic “Virtual Driving Simulation” to enhance the verification of Advanced Driver Assistance Systems (ADAS) in various scenarios, including corner cases. Students on the Aptiv team will work with existing real-world vehicle data and develop models to replicate sensor (radar and camera) performance in various environmental conditions, providing realistic sensor outputs that drive the behavior of downstream algorithms.
Graphic with "Industry Sponsored Team" at the top, the ASML logo, and the project title, "ASML: Simulating & Measuring the Motion of Dynamic Loops" on the bottom. On the left, a close-up of a dynamic loop attached to a machine.
ASML manufactures complex lithography systems critical to the production of microchips, which use high-acceleration linear stages to accomplish incredibly precise tasks. Students on the ASML team will study the dynamics of rolling loops of wires and hoses on these systems, conducting research to develop a simulation of their dynamic behavior, and build a physical test rig to directly measure the resulting motion profiles.
Graphic with "Industry Sponsored Team" at the top, the Campus Farm logo, and the project title, "Campus Farm: Solar Powered Energy Management System" on the bottom. On the left, solar panels in the foreground with a red barn and trees in the background.
The UofM Campus Farm has a goal of reaching carbon neutrality for all emissions generated and electricity used on-site by 2026. Students on this team will support this goal by developing and implementing an energy management system that allows for a solar-powered produce cooler and EV delivery van to operate as a combined system minimizing or eliminating the need for grid power in the farm’s produce storage and delivery systems.
Graphic with "Industry Sponsored Team" at the top, the Constellation logo, and the project title, "Constellation: Underwater Robotic Location Tool for Moving Nuclear Fuel" on the bottom. On the left, a robot with two mechanical arms swims underwater.
Every year, Constellation Generation moves thousands of nuclear fuel bundles safely in and out of reactor cores in a challenging underwater environment, which is heavily dependent on humans to ensure reliability. Students on this team will aim to eliminate the human element of this critical task, by adapting a robotic tool for underwater nuclear use, reducing the risk of an error.
Graphic with "Industry Sponsored Team" at the top, the Honda logo, and the project title, "Honda: Drone-Car Interaction: Advancing the Automotive Experience" on the bottom. On the left, a close-up of a drone flying above cars on the road, each car surrounded by light-up circles.
Honda envisions a future where unmanned aerial vehicles (drones) work in tandem with cars on the road. Students on this team will build on previous path-planning research, developing and testing various use cases for drones to enhance the automotive driving experience, such as increasing the perception range of automobiles by sensing areas, and streaming data back to the autonomous vehicle.
Graphic with "Industry Sponsored Team" at the top, the Honda logo, and the project title, "Honda: Autonomous Robot Navigation in Pedestrian Environments" on the bottom. On the left, a robot rolls between walking pedestrians.
As the presence of robots in our every day life continues to increase, it will be critical to ensure that they can safely and efficiently interact with humans in an uncontrolled environment. Students on the Honda project will develop algorithms to find feasible, collision-free paths for a Clearpath Jackal robot with a Zed2 camera operating in a crowd of pedestrians.
Graphic with "Industry Sponsored Team" at the top, the Ninja logo, and the project title, "SharkNinja: Silent Smoothies: Quieter Blenders Crushing the Competition" on the bottom. On the left, a Ninja Blender.
You will be responsible for targeting the number one pain point when it comes to consumer blenders: noise. Use learnings from current SharkNinja products and the competitor landscape to brainstorm, prototype, and validate a noise reduction solution for the next blender on the market.
Graphic with "Industry Sponsored Team" at the top, the JPMorgan Chase & Co. logo, and the project title, "JPMorgan Chase: Predictive Analytics in Commercial Banking" on the bottom. On the left, a business woman touching a transparent screen of graphs.
JPMorgan Chase is the largest bank in the United States, and processes commercial loans in local markets across the country. Students on this team will implement predictive analytics to develop models that forecast important aspects of the business process within the commercial loan division, with a focus on utilizing large language models, and identifying extreme events within a very large and complex data environment.
Graphic with "Industry Sponsored Team" at the top, the Keurig/Dr. Pepper logo, and the project title, "Keurig: Coffee Pod Management for an Automated Brewing Experience" on the bottom. On the left, two cups of coffee sit on saucers.
Keurig Dr Pepper (KDP) markets the number one single-serve coffee brewing system in the United States. Students on the Keurig team will design and prototype an automatic pod feeder and disposal compartment to be integrated into a Keurig coffee machine, supporting a fully-automated coffee brewing experience.
Graphic with "Industry Sponsored Team" at the top, the Koppers logo, and the project title, "Koppers: Inventory Verification Utilizing Machine Vision and Drones" on the bottom. On the left, a close-up of a drone mid-air.
Koppers is one of the leading producers of railroad ties in North America, which is a product that is stored in large outdoor stacks, that makes inventory time-consuming and difficult. The students will develop an autonomous drone-based camera system to determine the amount of a particular product available within inventory stored in an outdoor, multi-acre site.
Graphic with "Industry Sponsored Team" at the top, the MiTek logo, and the project title, "MiTek: Machine Vision Tool for Connector Plate Inspection" on the bottom. On the left, notations and graphics overlay a close-up of wooden stairs.
The MiTek® Automation Technical Development organization is responsible for creating new and improving existing tools that support factory-based component manufacturing for single and multi-family construction. Students on this team will aim to develop a proof-of-concept automated inspection system to ensure that truss components meet all quality inspection criteria.
Graphic with "Industry Sponsored Team" at the top, the MotorCity Casino logo, and the project title, "MotorCity Casino: Virtual Casino Host: Enhanced OpenAI Marketing Tools" on the bottom. On the left, colorful MotorCity Casino lit up at night.
Students will develop an AI-driven Virtual Casino Host using OpenAI’s API. The system will track players’ gaming activity, analyze their behavior and preferences, and then tailor and suggest offers to encourage increased activity at the casino.
Graphic with "Industry Sponsored Team" at the top, the Northrop Grumman logo, and the project title, "Northrop Grumman: Code Quality with Generative AI Test and Evaluation: GATE" on the bottom. On the left, beams of light bouncing between locations on Earth and a satellite.
This project seeks to leap an order of magnitude forward in the domain of software code quality via automated testing. Students on this team will employ Generative AI trained on domain-relevant tests, and continuously educated based on user selection or rejection of generated output, to continuously create system, interface, and unit tests for a complex system.
Graphic with "Industry Sponsored Team" at the top, the Northrop Grumman logo, and the project title, "Northrop Grumman: Heat Management for Nuclear Space Reactors" on the bottom. On the left, a close-up of a satellite floating above Earth.
The future of long-range space exploration will require on-board nuclear space reactor power, which generates a significant amount of heat. Students on the Northrop Grumman nuclear team will study and design efficient and deployable heat-mitigation devices, enabling long-range human missions, and unlocking the full potential of advanced power and propulsion systems.
Graphic with "Industry Sponsored Team" at the top, the ProQuest logo, and the project title, "ProQuest: Enhancing Historical Newspaper Analysis through NLP" on the bottom. On the left, white lines highlight sections of The London Chronicle.
Historical newspapers are some of the richest, longitudinal sociological data sources available, going back more than 250 years. Accessing content from older sources digitally is challenging. Students on the ProQuest team will use large language models and other ML techniques to develop a proof-of-concept system for reconstructing individual articles from full-page newspaper images.
Graphic with "Industry Sponsored Team" at the top, the Reverie logo, and the project title, "Reverie: Automated Snore Detection for Improved Sleep Experience" on the bottom. On the left, a woman and man happily lie in a bed, with the man's side slightly elevated.
Students on the Reverie team will design and develop a sound detection and integration feature that accurately identifies snoring and automatically sends a signal to the bed to perform actions to mitigate snoring, cater to individual preferences, and improve sleep comfort for those that have trouble falling asleep.
Graphic with "Industry Sponsored Team" at the top, the Stryker logo, and the project title, "Stryker: Pressure Injury Assessment Device" on the bottom. On the left, a digital rendering of a hospital bed.
Accurate and timely assessment of a critically ill patient’s skin is extremely important in preventing pressure injuries from occurring or worsening, and monitoring treatment effectiveness. Students on the Stryker team will design and prototype a device(s) that allow a nurse to access key areas of a patient’s skin with minimal movement of the patient, and minimal effort by the nurse.
Graphic with "Industry Sponsored Team" at the top, the Subaru logo, and the project title, "Subaru: Advanced Driver Monitoring System Feature Engineering" on the bottom. On the left, a Subaru car creating a cloud of dust while driving.
Subaru wants to implement advanced AI functionality in their Driver Monitoring System (DMS), leveraging passive IR (infrared) research. Students will develop advanced IR sensor applications for driver monitoring and consumer convenience that will be deployed in our prototype WRX, which is actively being displayed throughout the US at various auto shows, racetracks, and extraneous events.
Graphic with "Industry Sponsored Team" at the top, the Michigan Engineering logo, and the project title, "U-M Heath Hofmann: Designing and Prototyping an Innovative Water Turbine System" on the bottom. On the left, a wheel produces bubbles underwater.
University of Michigan electrical engineering professor Heath Hofmann developed a novel electrical generator for water turbines that needs an equally novel water turbine design to evaluate its performance. Students on this team will design and prototype a novel renewable energy system, focusing on efficiency, durability, and overall performance.
Graphic with "Industry Sponsored Team" at the top, the MI Lighthouse logo, and the project title, "U-M SI Public Health: Empowering Public Health Awareness: An Interactive Data Tool" on the bottom. On the left, a computer displays a map of Michigan's districts and a vaccine needle graphic.
Create an intuitive tool for public health in Michigan, where everyone who needs vaccines gets them! By obtaining real-time data and visualizations, we can support public health in planning and organizing their vaccination efforts.
Graphic with "Industry Sponsored Team" at the top, the SPRL logo, and the project title, "U-M SPRL: Developing Flexible Observing Stations for Revealing Auroral Features" on the bottom. On the left, a green-colored aurora lights up the sky above a body of water.
The U-M Space Physics Research Lab is in the early stages of developing a ground-based observational platform for auroral and space plasma phenomena. Students on this team will design and create a multi-instrument observation platform, supporting space weather sensors, for observing upper atmosphere and space phenomena, including the aurora, to be deployed at the University of Michigan’s Peach Mountain observatory.
Graphic with "Industry Sponsored Team" at the top, the Michigan Engineering logo, and the project title, "U-M ITS Auto Captioning Tool: AI-Generated Photo Captions to Enhance Visual Communication" on the bottom. On the left, an AI Generated Caption labels a photo of President Ono signing a student-made rocket.
Photo captions provide context to images, facilitate better communication, and increase accessibility. The student team will use Azure machine learning services, in addition to student developed functions, to build a tool including an API that is capable of creating image captions when given an image input.
Graphic with "Industry Sponsored Team" at the top, the Walbridge logo, and the project title, "Walbridge: Improving Safety: Blind Spot Detection in Mobile Construction Equipment" on the bottom. On the left, red warning regions spread from the operator of an excavator.
Walbridge construction company makes jobsite safety a top priority on all their projects, including their two active jobs on U-M’s North Campus. Students on the Walbridge team will develop a Proximity Warning Alert System (PWAS) that detects people, rather than objects, in the blind spots of mobile construction equipment.
Graphic with "Industry Sponsored Team" at the top, the Whirlpool logo, and the project title, "Whirlpool: Advanced Power Electronics Machine Learning Modeling" on the bottom. On the left, a digital rendering of a Whirlpool refrigerator.
Models used to test control software for appliance development are complex and time-consuming to run. Students on the Whirlpool team will develop machine learning models that replicate first-principles models, reducing run time and accelerating product development.
Graphic with "Faculty Sponsored Team" at the top, mentor Justin Kasper, and the project title, "Heliophysics: Spacecraft Instrumentation" on the bottom. On the right, a satellite rendering and a graphic half-sphere sits beside the sun's surface.
The Heliophysics team is designing a ground radio prototype and data analysis pipeline to detect radio bursts from extreme space weather in collaboration with NASA’s SunRISE mission, which will send up a space-based array composed of 6 small satellites to Earth orbit to image the lowest frequency radio bursts for the first time.