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Union Pacific runs trains all across the United States and with that comes many challenges. As we continue to build our systems, we need to ensure that the data being sent around our network is clean, in sync with other systems, and is easy to query. Students on the Union Pacific team will design and develop the components for building a comprehensive business data store structure and analytics model that will allow easy access to petabytes worth of data from a multitude of devices and systems.
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.
Generative design utilizes topology optimization suggesting novel geometric forms, which are then evaluated for effectiveness against the design criteria (in this case heat transferability, cost, operational life, etc.) and then developed into feasible design solutions. Students on the GM team will develop a generative design process to determine the optimal geometry for a cold-plate cooling design for an electric vehicle.
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.
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.
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.