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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.
This faculty research team designs ground radio instruments and data analysis pipelines to detect radio bursts from extreme space weather in collaboration with NASA's SunRISE mission, which will send up six SmallSats to Earth orbit to image the lowest frequency radio bursts for the first time.
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.
Our research develops human-centric strategies for automating video data extraction to record vehicle occupant behavior to support enhanced safety, autonomous vehicle development, and other applications.
The JPMorgan Chase project team will design and deliver an analytics tool that will monitor and evaluate the current task work assignments of 2,200 global JPMC team members. The tool will recommend reassignment of project work between staff to better balance workloads and improve on-time delivery. All student team members will become JPMC 2022 Summer Interns based in Chicago, Il.
Navigating 100,000 square feet of casino floor spread out over 2 levels is challenging for both patrons and staff of the MotorCity Casino. Students on the MotorCity Casino team will utilize data from a large and dense network of Bluetooth beacons on the casino floor to create a native Android mobile app.
With over a billion parking spots in the United States, there is plenty of opportunity for people to forget where they parked their car. The students on this team will design and develop an augmented reality wayfinding app that will allow parking customers to use their phone to find their car in a parking structure.
Cat Digital, at Caterpillar Inc., uses Internet of Things (IoT) connectivity and advanced analytics to provide prognostic alerts to customers notifying them of potential issues with their equipment to prompt proactive maintenance. Students on this team will analyze and model transactional data to better understand and accurately predict how customers respond to maintenance alerts.
DENSO is one of the largest global mobility/automotive suppliers of advanced technology, systems, and components. Students on this team will become intimately familiar with DENSO’s core processes in commercial management and product launch readiness, while integrating an API with Toyota Motor Corp to create efficiencies. All team members will become Denso 2022 Summer Interns based in Michigan/Tennessee.
The objective of this project is to develop software algorithms for state-of-the-art audio surveillance of aircraft cabin areas to enhance cabin safety and improve the passenger experience. Students on the Collins Audio Analytics team will develop software algorithms to support sound and voice identification, detection, and key word recognition in aircraft interiors.
In order for critical driver alert systems to be universally effective, they must be designed with the broad population in mind, including people with accessibility concerns. The students on the Arriver team will research and design a driver alert system that specifically targets drivers with accessibility issues such as deafness and color blindness.
Working with doctors at the Mayo Clinic Center for Sleep Medicine, the student team will explore the possibilities of creating techno tracks from up to, at least, four data points from raw polysomnogram data (EEG/Pulse/Oxygenation). The goal is to convert sleep data into interesting music to enable sleep diagnostics that would be accurate and fun–for the world.
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.
The team will explore how pervasive technologies are mediating the way people interact with their cities. The project seeks to make visible and transparent the complex yet critical issues around the use of computer vision and artificial intelligence (as in controversial programs like Detroit’s Project Greenlight and New York’s LinkNYC systems) in public and urban spaces as we build citizen-engaged, physical installations and interventions.
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.
This HAPLAB project aims to understand the relationship between the quality of breathing and exceptional performance. We will use data visualization, sonification, and/or visceralization to communicate breathing data back to musical performers.
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.
This project team will print, patent and market a trio of 3-D polymer objects, representing the Lung/Diaphragm simulator, a polymer tongue, and voice box/vocal folds simulator, made available in a "toolbox" for artists, academics, and physicians.
Critical Improvisation Studies investigates processes related to problem solving, innovation, decision making, interaction, organization, and artistry in fields and projects such as self-driving cars, the Mars Rover, farming, machine learning, comedy, video game design, artistic installation and performance, management, design, architecture, and urban planning. This team will develop new ideas about improvisation by collaborating across these and other disciplines.
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 team will enable the architecture student to translate and test spatial ideas in the design process through immersive technologies using point clouds generated from photogrammetry and LiDAR. In addition to scanning and photogrammetry, this team will test design methodologies (experimenting with VFX and VR), create templates for workflow documentation, and establish a database for site scans and student projects.
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.