Riot Games released League of Legends in 2009 to worldwide acclaim, and multiple new games and TV series over the following years; this success has led to an increased visibility to potential attackers that will eventually leverage existing vulnerabilities. Students on the Riot Games team will develop and deploy an extensible system and framework that automatically monitors Riot’s environments for out-of-compliance items in the cyber security space.
Whirlpool is looking at advanced controls technologies including machine learning, neural networks, and model predictive controllers that will more efficiently cool complex refrigerator systems. Students on this team will evaluate current capabilities on the Python framework that will be fast prototyped and applied in a simulation environment with a conceptual plant model.
Customers are increasingly expecting a high level of customer service from their Casino, and MotorCity is constantly evaluating their business model to make sure they are providing top notch service while optimizing their expenditures and staffing levels. Students on the MotorCity team will use internal and external data to develop a system to forecast demand (number of people at the casino) and a strategy to determine the optimal level of staffing.
Hyundai is taking action to improve their safety data analytics systems including machine learning and artificial intelligence driving them towards a world class safety focused organization. Students on the Hyundai team will evaluate existing recall data and develop models that provide an early warning system for potential developing trends, indicating variables/areas that should receive special attention.
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 of a motorized coffee pod puncture mechanism to be integrated into a Keurig coffee machine.
The flat structure of the GM Ultium electric vehicle (EV) battery platform provides an opportunity to optimize the geometry for aerodynamics in a previously unexplored way. Students on the GM team will design and evaluate features to be included in the underbody to reduce vehicle drag.
ProQuest, part of Clarivate, is an educational technology company committed to empowering researchers and librarians around the world. Students on this team will use machine learning techniques to deliver a proof-of-concept system which predicts the future success of academic researchers based on information available near the time of dissertation publication.
Principal is bounded by one common purpose: to give you the financial tools, resources, and information you need to live your best life. Students on the Principal team will design and deliver an investment/financial planning tool informed by significant research into the user needs specific to Gen Z investors.
Every year, Constellation Generation moves thousands of nuclear fuel bundles safely in and out of reactor cores in a challenging underwater environment that is heavily dependent on humans to ensure reliability. Students on this team will aim to eliminate the human element of this critical task by developing a robotic tool that can stand up to the environment, reducing the risk of an error.
Cat Digital, the digital arm of Caterpillar Inc., uses connected fleet information and emission reduction strategies to determine the most effective fleet management policies. Students on the Cat Digital team will develop an analytics model that helps customers identify the ideal path to lessen the environmental impact of their fleet over time.
Students on this team will become familiar with DENSO’s core processes while developing enhanced connectivity between existing software business systems for improved commercial management. All qualifying student team members will be offered an optional DENSO 2023 Summer Internship based in Michigan/Tennessee/Remote. (see website and brief for internship qualifications)
This project is an opportunity to develop creative thinking skills while implementing and validating engineering principals and theories of fluid dynamics in a ventilated automotive seat. Students on the Magna team will develop a complete seat ventilation system model, supported both by theory and experimental data, that predicts the thermal comfort performance of future seat designs.
Axalta Coating Systems is shifting their product offerings to lower VOC formulations which poses some new challenges. Students on the Axalta team will design and implement a series of experiments to enhance the understanding of changes in paint film hydrophobicity over time, improving performance of these more environmentally friendly coatings.
Students on the ASML team will identify creative ways to produce the flexible elements of small lens mounts for semiconductor manufacturing equipment at a lower cost than the current EDM method. They will deliver a durable, high stability, high precision mechanical mount prototype for small lenses.
Shiloh Industries is a global innovative solutions provider focusing on light weighting technologies that provide environmental and safety benefits to the mobility market. Students on the Shiloh team will develop and characterize viscoelastic adhesive formulation for Constrained Layer Damping (CLD) applications.
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.
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.
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. This technology will be made available to a wide range of educational institutions and industry.
To achieve NASA’s goal for Lunar to Mars and beyond habitation, advanced power systems and power system integration are required to influence multiple mission scenarios where power constraints have been a limiting factor. Students on the Northrop Grumman team will develop and validate innovative power designs and integrated power grid solutions for the extreme environment of the lunar surface.
The students on the Honda team will develop a 2-D path planning/following algorithm for drones and unmanned ground vehicles (UGV) for both real world and simulation environments. They will extend their system to include a simulation platform and drone motion planner to achieve scalable harmonious navigation in a multi-robotic-system environment.
To better serve customers, Subaru wishes to implement a self-opening door system that operates based on proximity of the user to the vehicle, computer vision, and machine learning to determine intent of the driver to enter the vehicle. Students on the Subaru team will design and implement the door system into a prototype WRX that will be displayed throughout the US at auto shows, racetracks, and extraneous events in the future.
The Altrix Precision Temperature Management System regulates patient temperature by circulating water through wraps or pads applied to the patient. Students on the Stryker team will design and prototype a docking station for the Altrix that automates disinfection of the unit to ensure operational safety.
Today, more than ever, people expect to be able to attend meetings and events virtually with a high quality of engagement. Students on the In-Person Away Virtual Events (IPAVE) team will design and develop a virtual presence robot focusing on mobility and remote navigation control, sourcing components within the United States whenever possible.
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.
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.
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.
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.
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.
The Ann Arbor Hands on Museum is working to improve the educational experience for the many young school groups that patronize the museum. Students will update the design for a new platform and redeploy a beacon system that tracks individual museum guest’s participation in learning activities during their visit to support this goal.
Amway uses a number of techniques to measure the effectiveness of their skin care products, one is comparing facial images before and after the use of their products. Students on the Amway team solve a challging CV problem to connect /combine multiple images of a single face and deliver it in a tool using Amway’s existing Amazon Web Services (AWS) platform.
Consumer satisfaction is THE quality metric for FLASH; however, it is very challenging to evaluate consumer satisfaction remotely. Students on the FLASH team will design and develop a computer vision system for FLASH parking kiosks to determine consumer sentiment (satisfied/dissatisfied) in an anonymized and balanced manner, and then utilize the trend in sentiment to help discover operational problems.
The JPMC team will design and deliver the capability to capture and edit customers’ financial priorities and make product recommendations for JPMorgan’s 47 million active mobile customers. This will generate personalized content for customers based on their financial priorities, improving marketing efficacy, customer engagement, and retention with the Chase mobile app. All student team members will become JPMC 2023 Summer Interns based in Chicago, Il.
This UARTS FEAST project will explore ways to use robots to assist with organic farming and gardening tasks. The project will be done in collaboration with the U-M Campus Farm and will feature working with a real robot to perform tasks related to agriculture.
The student team will explore current participatory design theory and practices toward ideation/ fabrication/production, and test developed pieces that will move forward our understanding and application of participatory design.
This project will enable a team of students to learn about environmental sensors and data, specifically around water and watersheds, and create tools and technologies with that data that inform and empower community stakeholders.
Studio JOY draws upon interventionist art practices and psychologist Victor Frankl's logotherapy as a form of activism in the face of institutional betrayal. Studio JOY will engage in making practices that may include the construction of superhero or mascot costumes, public signage, and/or screenplays.
This UARTS Faculty Engineering/Arts Student Team (FEAST) will conduct a collaborative and interdisciplinary study of shadows. The project aims to expand and hybridize conceptions of shadows from a range of fields, as a way of mining their artistic potential in immersive art encounters.
This team will make Korean Art Song (Gagok) more accessible to English speaking students by finding Korean composed song scores, creating English translations, phoneticizations and spoken recordings of song texts, and organizing these materials into an accessible database.
This UARTS FEAST project will capture the intricate and fast physical movements required for many percussive techniques in slow motion in order to analyze both the physical conditions and sonic outcomes associated with some of percussion's signature performance demands.
The project provides sounds and color analogs of people who exist across multiple axes of physical, emotional, cultural and social divergent identities. The project considers imputations of combinations of sound, color, and visuals in presenting all data - including potentially very identifiable combinations.
This UARTS FEAST project will design, prototype and test an aerospace vehicle to locate and identify endangered plant species in wetland environments. The vehicle should minimally disrupt plant and animal wildlife. Your test client is the University's Botanical Gardens.
“22/26 Midwest” is a net-zero building concept for the US Midwest climate condition. The technology has the goal to reduce the green-house gas emission for building operation, to improve the comfort of the occupants and to reduce the construction cost. The UARTS Team will work on prototypes, programming and control technologies to develop the project.
Collaborators and conspirators on this team will play with the structure, philosophy and dance of multiple forms of language, define language and its use in multiple ways, and discover how it can be activated, (de)constructed and deciphered in relationship to effort, shape, time and space.
This project integrates LiDAR scanning, photogrammetry, and UnReal Engine into education, expanding the possible methodologies and processes of architectural design to storytell and worldbuild using site scans/point clouds as context for narratives.
The project is called LuCelegans (Luce: light in latin; Light-up C. elegans), or the Interactive Worm Project. It is about building the first interactive, physical, 3-dimensional prototype of C. elegans nervous system through the efforts of a student research team.
The goal of this project is to explore methods of incorporating visual communication of effort, gesture, and movement into telematic performance without video transmission. Practical experiments with different sensing techniques, including infrared motion capture, inertial measurement, electromyography, and force sensing will be coupled with novel digitally fabricated mechatronic displays.
The SparkVotes Parties project is a series of games designed to educate and energize college-age voters. Our collaborative team will be developing imaginative ways to gamify the skills and knowledge needed for campus civic participation in the 2022 election.
Develop a new genre of inclusive augmented reality games and room-sized interactive systems that remove physical and social barriers to play. The project addresses the unmet need of players with different mobility abilities to play and exercise together in spaces such as school gymnasiums, community centers, and family entertainment centers.
This team is developing an interactive sound installation that helps users learn the basics of coding. Utilizing research on embodied engagement with sound and critical improvisation studies, this installation will facilitate real-time audio feedback for users’ physical interactions with it. The code that facilitates these interactions will then be displayed, helping users understand the interactive potentials of coding.
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.
Following the inspiration of the meteorology community and Weather Underground that connected backyard weather STATSions into the global weather system, this student team will deploy magnetometers and other sensors everywhere to make a dense distributed array to enable new science and understanding of the Earth’s space environment.
ORBIT stands for Online Resources for Building Intercultural Teams. ORBIT Labs works on several concurrent projects including developing tools for middle schoolers to team up on social justice issues, a book about the intersections of creativity and resilience, and creating virtual and physical resources to help people better communicate and collaborate across differences.
This UARTS FEAST project will study and construct visual representations of music using mathematics. Drawing on scholarship that represents musical chords as points in geometric spaces, we will explore new ways of “picturing” these musical spaces by constructing visualizations of their structure, patterns, and symmetries.
1001++ (Magical Technologies) is a series of artistic inquiries inspired by Arthur C. Clarke’s 3rd law, “[a]ny sufficiently advanced technology is indistinguishable from magic.” This project will re-examine folk narratives as culturally aspirational desires of applied technologies (e.g., VR, machine learning, robotics, storytelling, choreography).
Sonic Scenographies catalyzes experimental collaboration at the intersection of performance, music, theater, dance, architecture, information science, and digital space.
This FEAST project will create engaging educational materials designed for middle school Hispanic students to describe and encourage pathways into engineering careers in the material sciences.