Christopher J. Rozell

Affiliations: 
Electrical and Computer Engineering Georgia Institute of Technology, Atlanta, GA 
Area:
neuroengineering, computational neuroscience, interactive machine learning, dimensionality reduction
Website:
http://siplab.gatech.edu/rozell.html
Google:
"https://scholar.google.com/citations?user=JHuo2D0AAAAJ&hl=en&oi=ao"
Mean distance: 14.71 (cluster 29)
 
SNBCP

Parents

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Don H. Johnson grad student 2000-2007 Rice University
 (Distributed redundant representations in man-made and biological sensing systems.)
Richard G. Baraniuk post-doc 2007-2007 Rice University (MathTree)
Bruno A. Olshausen post-doc 2007-2008 UC Berkeley

Children

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Kyle A. Johnsen grad student 2019- Georgia Tech
Han Lun Yap grad student 2009-2013 Georgia Tech
Aurele Balavoine grad student 2011-2014 Georgia Tech
Mengchen Zhu grad student 2009-2015 Georgia Tech
Adam Charles grad student 2010-2015 Georgia Tech
Abigail Kressner grad student 2011-2015 Georgia Tech
Nicholas Bertrand grad student 2013-2019 Georgia Tech
John Lee grad student 2015-2019 Georgia Tech
Marissa Connor grad student 2014-2021 Georgia Tech
Gregory Canal grad student 2016-2021 Georgia Tech
Ayse Cakmak grad student 2019-2021 Georgia Tech
Sankaraleengam Alagapan post-doc 2018-2022
BETA: Related publications

Publications

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van Rheede JJ, Alagapan S, Denison TJ, et al. (2024) Cortical signatures of sleep are altered following effective deep brain stimulation for depression. Translational Psychiatry. 14: 103
Alagapan S, Choi KS, Heisig S, et al. (2023) Cingulate dynamics track depression recovery with deep brain stimulation. Nature
Smith EE, Choi KS, Veerakumar A, et al. (2022) Time-frequency signatures evoked by single-pulse deep brain stimulation to the subcallosal cingulate. Frontiers in Human Neuroscience. 16: 939258
Cakmak AS, Perez Alday EA, Densen S, et al. (2022) Passively Captured Interpersonal Social Interactions and Motion From Smartphones for Predicting Decompensation in Heart Failure: Observational Cohort Study. Jmir Formative Research. 6: e36972
Wong JK, Deuschl G, Wolke R, et al. (2022) Proceedings of the Ninth Annual Deep Brain Stimulation Think Tank: Advances in Cutting Edge Technologies, Artificial Intelligence, Neuromodulation, Neuroethics, Pain, Interventional Psychiatry, Epilepsy, and Traumatic Brain Injury. Frontiers in Human Neuroscience. 16: 813387
Cakmak AS, Da Poian G, Willats A, et al. (2020) An unbiased, efficient sleep-wake detection algorithm for a population with sleep disorders: Change Point Decoder. Sleep
O'Shaughnessy MR, Davenport MA, Rozell CJ. (2020) Sparse Bayesian Learning With Dynamic Filtering for Inference of Time-Varying Sparse Signals Ieee Transactions On Signal Processing. 68: 388-403
Lee J, Bertrand NP, Rozell CJ. (2020) Unbalanced Optimal Transport Regularization for Imaging Problems Ieee Transactions On Computational Imaging. 6: 1219-1232
Bertrand NP, Charles AS, Lee J, et al. (2020) Efficient Tracking of Sparse Signals via an Earth Mover's Distance Dynamics Regularizer Ieee Signal Processing Letters. 27: 1120-1124
Bertrand NP, Lee J, Prussing KF, et al. (2020) Infrared Search and Track With Unbalanced Optimal Transport Dynamics Regularization Ieee Geoscience and Remote Sensing Letters. 1-5
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