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similarity measures for fMRI resting state time series analysis. Sixth biennialĬonference on resting-state and brain connectivity, Montreal, Quebec, Canada, September 26-28, 2018.Ībraham IT, Shahsavarani S, Zimmerman B, Baryshnikov YM, Husain FT. Automated identification of tinnitus patients using replicable resting state fMRI data. Husain FT, Zimmerman B, Abraham I, Schmidt S, Shahsavarani S, Khan R, Baryshnikov Y. Inaugural Workshop on Brain Dynamics and Neurocontrol Engineering. control subjects based on cyclicity analysis. Special Session on Blast-Induced Tinnitus,Military Health System Research Symposium (MHSRS), Kissimmee, Florida, August 19-22, 2018.Ībraham I, Zimmerman B., Schmidt S., Baryshnikov Y., Husain FT.

Test-retest reliability of tinnitus questionnaires and brain imaging measures at military and civilian sites. Husain FT, Schmidt S, Zimmerman B, Tai Y, Shahsavarani S, Khan R, Abraham I, Ramos P, Wilson C, Granato E, Sherman P, Esquivel C.

10,959,670 B2 issued March 2021 (filed as Application No. Fatima Husain, Yuliy Baryshnikov, Benjamin Zimmerman, Ivan Abraham. Network Neuroscience 2019 3:1, 67-89 Link.Īutomated, Objective Method of Assessing Tinnitus Condition. Benjamin Zimmerman, Ivan Abraham, Sara Schmidt, Yuliy Baryshnikov, Fatima Husain. Link.ĭissociating tinnitus patients from healthy controls using resting-state cyclicity analysis and clustering. Frontiers in Computational Neuroscience 2020. Somayeh Shahsavarani, Ivan Abraham, Benjamin Zimmerman, Yuliy Baryshnikov, Fatima Husain. Preprint bioRxiv.Ĭomparing cyclicity analysis with pre-established functional connectivity methods to identify subject groups using resting state f-MRI. Ivan Abraham, Bahar Shahsavarani, Benjamin Zimmerman, Fatima Husain and Yuliy Baryshnikov. If you are looking for a course page for which I currently TA click here. A few years ago, I also helped organize the 2018 CSL Student Conference. In the past, I have taught the laboratory section of Engineering Materials and assisted in teaching courses in undergraduate Control Systems, graduate Control Systems, Adaptive & Nonlinear Control as well as a course in the analysis of Nonlinear Systems. I frequently serve as Teaching Assistant for my department. I also have a life long love of programming, technology and pet dogs. I am currently working on the application of tensorial/higher-dimensional techniques and machine learning to the analysis of biomedical time-series data. My interests are in systems theory, dynamics & data analytics and controls. I obtained my Bachelor of Science in Mechanical Engineering from Texas A&M University in 2014 and my Masters in Mechanical Science & Engineering from Illinois in 2017. Welcome! I am a PhD candidate in the Department of Electrical and Computer Engineering at the University of Illinois. What defines a man is not what he knows but what he does when he does not. University of Illinois at Urbana-Champaignġ64 Coordinated Science Laboratory, 1308 West Main St. Department of Electrical & Computer Engineering

Latex in macdown not working