Agenda: NEAR Spotlight Series

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NEAR Spotlight Series Agenda

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September 25, 2020 | 9:00am-11:00am
Practical applications for emerging research on energy use, efficiency, and distribution

Time Event
9:00am-9:05am Welcome Message
Dan Thoma, Director, Grainger Institute for Engineering
9:05am-9:30am “Smart Manufacturing: Real-Time Detection of Defects and Anomalies of Manufacturing Process using IIOT and Deep Learning”
Sangkee Min, Assistant Professor, Department of Mechanical Engineering

With a simple sensor implementation or extraction of data from the controller manufacturing equipment, real-time monitoring of manufacturing process can detect defects and anomaly of the process. As an example, cold-forging process in real industry was used to demonstrate the concept.
9:30am-9:55am “Lose Your Bearings: Energy and Sustainability Opportunities with Magnetically Suspended Motor Shafts”
Eric Severson, Assistant Professor, Department of Electrical and Computer Engineering

Mechanical motor bearings are the first components to fail in an electric motor system, create frictional losses, and rely on lubricants that create contamination challenges and require periodic maintenance. In short, bearings are the Achilles’ heel of modern electric motors. This presentation will discuss new “bearingless” motors and their potential to revolutionize systems that rely on electric motors–from industrial compressors and blowers, such as those found in HVAC systems and wastewater aeration equipment, to flywheel energy storage devices and electric turbochargers in fuel-efficient vehicles.
9:55am-10:20am “Enabling a Sustainable, Resilient Electric Grid through Data-Driven Optimization”
Line Roald, Assistant Professor, Department of Electrical and Computer Engineering

The electric grid is a key component in enabling the transition to a sustainable, resilient energy system. At the same time, this transition challenges the ability of the grid to accommodate highly variable, uncertain renewable energy and remain operational during severe weather conditions. In this talk, we discuss how our research utilize probabilistic data and optimization to develop decision support tools that enable secure and economic operation of the electric grid, with a focus on integration of large shares of renewable energy and better management of wildfire risk.
10:20am-11:00am Panel Q&A

Event Access Information

How to access the event

  • The live event link will be emailed to all registered participants in advance of the event.
  • Please register at least 15 minutes before the start time to receive the live event link.
  • No passcode is required for access.
  • Access the live event up to 10 minutes before start time.


Event format

  • Live Q&A with presenters will follow each presentation.
  • Submit questions at any time during the presentation via the chat function.


  • The event is hosted on Cisco Webex.
  • No software download is required.
  • Access the event via your web browser.
  • Webex is compatible with Apple and Windows operating systems.
  • Audience camera and microphone will be disabled upon entry.



  • Faculty experts will provide contact information for further engagement following each talk.


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