Lab meeting in the MIT Nano building
Lab social at Loyal Nine
Lab space in E25
IMES innovation space in E25
Lab space in 35

We design instruments and techniques to sense and control physical systems. Medical devices and manufacturing inspection systems are a particular focus. We develop and combine electromechanical systems, complex algorithms, and computation systems to create instruments and measurement solutions for problems that are otherwise intractable.

Our research and product development interests cross the boundaries of computer vision, acoustic and ultrasonic imaging, large‐scale computation and simulation, optimization, metrology, autonomous systems, and robotics. We use computation, and computer science, as a methodology for attacking complex instrumentation problems – our work combines mathematical modeling, simulation, optimization, and experimental observations, to develop instruments and measurement solutions.

News

Latest Updates

Lab members Ivan Goryachev, Ryan Koeppen, and Shawn Zhang, are developing a thermal trailer and kiosks that could be deployed on campus during the Covid-19 pandemic. The thermal trailers screens asymptomatic individuals using thermal cameras for elevated temperatures prior to Covid-19 testing. More info here.

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The immersion lab is MIT’s first open-access facility for AR/VR and interacting with data.  “The facility offers a new and much-needed laboratory to individuals and programs grappling with how to wield, shape, present, and interact with data in innovative ways”  Full story here.

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The 4th annual SENSE.nano Symposium took place back in September this year.  Watch the full video of the day 1 keynote here. Full agenda for the event. Watch videos of the event.

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Ou lab has been developing kiosks on MIT’s campus that uses thermal cameras to screen for elevated temperatures before a patient gets swab tested for Covid-19. Article here.

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The MIT-Takeda program launched back in February. Our lab is involved in one of the inaugural projects as part of this collaboration: Machine learning for image-based liver phenotyping and drug discovery. Read more.

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Brian gave a presentation on learned control of manufacturing processes at the 2020 IdeaStream, an annual showcase of technologies being developed across MIT.  Article here. Watch the presentation here.

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