PhD - Dec 2022
Department of Electrical & Computer Engineering
University of Illinois at Urbana-Champaign
164 Coordinated Science Laboratory, 1308 West Main St. Urbana
Welcome! I am a Postdoctoral Research Associate with the Discovery Partners Institute (DPI) at the University of Illinois since August 2022. My PhD research was done at the Department of Electrical and Computer Engineering at the University of Illinois. My dissertation focused on geometric & topological methods for analysis of high dimensional timeseries data. My interests are in systems theory, dynamics & data analytics, neuroscience and controls. I obtained my Masters in Mechanical Science & Engineering from Illinois in 2017 and my Bachelor of Science in Mechanical Engineering from Texas A&M University in 2014. For my post-doc term, I am working with the Hearing Health Institute science team at DPI. I also have a life long love of programming, technology and pet dogs.
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If you are looking for a course page for which I currently teach click here - BIOE205!
I frequently served as Teaching Assistant for my departments. In the past, I have taught the laboratory section of Engineering Materials and assisted in teaching courses in Introduction to Electronics, undergraduate Control Systems, graduate Control Systems, Adaptive & Nonlinear Control as well as a course in the analysis of Nonlinear Systems. A few years ago, I also helped organize the 2018 CSL Student Conference.
Comparing cyclicity analysis with pre-established functional connectivity methods to identify subject groups using resting state f-MRI. Somayeh Shahsavarani, Ivan Abraham, Benjamin Zimmerman, Yuliy Baryshnikov, Fatima Husain. Frontiers in Computational Neuroscience 2020. Volume 13. Link.
Dissociating tinnitus patients from healthy controls using resting-state cyclicity analysis and clustering. Benjamin Zimmerman, Ivan Abraham, Sara Schmidt, Yuliy Baryshnikov, Fatima Husain. Network Neuroscience 2019 3:1, 67-89 Link.
Automated, Objective Method of Assessing Tinnitus Condition. Fatima Husain, Yuliy Baryshnikov, Benjamin Zimmerman, Ivan Abraham. US Patent No. 10,959,670 B2 issued March 2021 (filed as Application No. 16/196587 in November 2018). Link.
Husain FT, Schmidt S, Zimmerman B, Tai Y, Shahsavarani S, Khan R, Abraham I, Ramos P, Wilson C, Granato E, Sherman P, Esquivel C. Test-retest reliability of tinnitus questionnaires and brain imaging measures at military and civilian sites. Special Session on Blast-Induced Tinnitus, Military Health System Research Symposium (MHSRS), Kissimmee, Florida, August 19-22, 2018.
Abraham I, Zimmerman B., Schmidt S., Baryshnikov Y., Husain FT. Classification of tinnitus patients vs. control subjects based on cyclicity analysis. Inaugural Workshop on Brain Dynamics and Neurocontrol Engineering. Washington University in St. Louis, MO. June 25-27, 2017
Husain FT, Zimmerman B, Abraham I, Schmidt S, Shahsavarani S, Khan R, Baryshnikov Y. Automated identification of tinnitus patients using replicable resting state fMRI data. Sixth biennial conference on resting-state and brain connectivity, Montreal, Quebec, Canada, September 26-28, 2018.
Abraham IT, Shahsavarani S, Zimmerman B, Baryshnikov YM, Husain FT. Cyclicity vs. similarity measures for fMRI resting state time series analysis. Session Title: Analytical Computational Models. The 49th Annual Meeting, Society for Neuroscience. Chicago, Illinois, October 19-23, 2019