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Columbia University’s Data Science Institute Presents:
DATA SCIENCE DAY

Authors/Collaborators are listed in alphabetical order.



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Wednesday, April 6 • 2:00pm - 4:30pm
A Closed-Loop Brain-Computer Interface for Regulating Cognitive State During Dynamic Boundary Avoidance Tasks [D19]

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Superior human performance in complex tasks such as piloting a modern jet fighter or driving a Formula 1 car requires goal-directed navigation while operating within narrow and dynamic physical constraints. a balancing act of maximizing task engagement while keeping autonomic stress response in check - a failure to do so can result in catastrophic accidents. The presented experimental setup represents a closed-loop brain-computer interface system that infers cognitive workload and provides feedback to achieve a reduction in task-induced arousal/stress with the aim to increase performance during high workload boundary avoidance tasks (BAT).
Demo/Poster Presenter
avatar for Josef Faller

Josef Faller

Postdoctoral Research Scientist in Biomedical Engineering, Columbia Engineering
Josef Faller received his B.Sc. and M.S. in Computer Science from Vienna University of Technology (2007, 2009) and his Ph.D. in Computer Science from Graz University of Technology (2015). His research focuses on neuroimaging and brain machine interfaces.
avatar for Sameer Saproo

Sameer Saproo

Postdoctoral Research Scientist in Biomedical Engineering, Columbia Engineering
Sameer Saproo received his B.E. in Information Technology from the Mumbai University (2003), his M.S. in Computer Science from the UC Irvine (2007), and Ph.D. in Cognitive Neuroscience from the UC San Diego (2012). His research focuses on neural information processing, neuroimaging, visual attention, and brain machine interfaces.
avatar for Victor Shih

Victor Shih

PhD Candidate in Biomedical Engineering, Columbia Engineering
Victor Shih received his B.S. in Biomedical Engineering and Electrical and Computer Engineering from Duke University (2012) and his M.S. in Biomedical Engineering from Columbia University (2014). His research focuses on computational neural modelling, artificial intelligence, and brain machine interfaces.

Demo/Poster Collaborator
avatar for Paul Sajda

Paul Sajda

Professor of Biomedical Engineering, Radiology (Physics) and Electrical Engineering, Columbia University
Paul Sajda received his B.S. in Electrical Engineering from MIT (1989) and his M.S. and Ph.D. in Bioengineering from the University of Pennsylvania (1992, 1994). In 1994 he joined the David Sarnoff Research Center where he went on to become the Head of the Adaptive Image and Signal Processing Group. He is currently a Professor in the Departments of Biomedical Engineering, Electrical Engineering and Radiology at Columbia University where... Read More →

Wednesday April 6, 2016 2:00pm - 4:30pm
Roone Arledge Auditorium Lerner Hall, Columbia University 2920 Broadway, New York, NY 10040
  Demo

Attendees (1)