Ivan Thomas Abraham

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Education

• Doctor of Philosophy, Electrical & Computer Engineering, University of Illinois, Urbana-Champaign, 2022
• Master of Science, Mechanical Science & Engineering, University of Illinois, Urbana-Champaign, 2017
• Bachelor of Science, Mechanical Engineering, Texas A&M University, 2014

Academic Positions

• Teaching Assistant Professor, University of Illinois at Urbana-Champaign, Department of Electrical & Computer Engineering, 08/16/2024 - present
• Adjunct Lecturer, University of Illinois at Urbana-Champaign, Department of Electrical & Computer Engineering, 08/15/2023 - 08/15/2024
• Postdoctoral Research Associate, University of Illinois at Urbana-Champaign, Coordinated Science Laboratory, 08/15/2023 -08/15/2024
• Adjunct Lecturer, University of Illinois at Urbana-Champaign, Department of Bioengineering, 01/15/2023 - 05/15/2023
• Postdoctoral Research Associate, University of Illinois System, Discovery Partners Institute, 08/16/2022 - 05/15/2023

Resident Instruction

• ECE 515, Control System Theory & Design (Spring 2024)
• ECE 374, Intro. to Algorithms and Models of Computation (Fall 2024, Spring 2025)
• ECE 220, Computer Systems & Programming (Fall 2023, Spring 2024, Fall 2024, Spring 2025)
• BIOE 205, Signals & Systems for Bioengineers (Spring 2023)

Research Topics

• Autonomous Systems and Artificial Intelligence
• Data/Information Science and Systems
• Neuro-engineering

Selected Articles in Journals

• Hemodynamic cortical ripples through cyclicity analysis. Ivan Abraham, Somayeh Shahsavarani, Benjamin J. Zimmerman, Fatima T. Husain, Yuliy Baryshnikov. Network Neuroscience 8 (4), 1105 - 1128. https://doi.org/10.1162/netn_a_00392
• Comparing cyclicity analysis with pre-established functional connectivity methods to identify individuals and subject groups using resting state fMRI. S Shahsavarani, IT Abraham, BJ Zimmerman, YM Baryshnikov, FT Husain. Frontiers in Computational Neuroscience 13, 94. https://doi.org/10.3389/fncom.2019.00094
• Dissociating tinnitus patients from healthy controls using resting-state cyclicity analysis and clustering. BJ Zimmerman, I Abraham, SA Schmidt, Y Baryshnikov, FT Husain. Network Neuroscience 3 (1), 67 - 89. https://doi.org/10.1162/netn_a_00053

Refereed Conference Papers and Presentations

• Harmonizing resting state functional MRI data to find markers of tinnitus in brain connectivity using deep learning. Shagun Ajmera, Ivan Abraham, Fatima Husain. Tinnitus Research Initiative Conference 2024. Vancouver, Canada. June 10-12, 2024.
• Exploiting AI architecture to process and harmonize neuroimaging-based brain connectivity patterns in humans with phantom auditory perception. Shagun Ajmera, Ivan Abraham, Fatima Husain. Advances and Perspectives in Auditory Neuroscience 2024. Chicago, USA. October 4, 2024
• Within-network functional connectivity reduced for auditory & attention networks in the presence of hearing loss. Ivan Abraham, Amber Leaver, Brad Sutton, Yuliy Baryshikov, Jonathan Peelle, Fatima Husain. 2023 Virtual Conference on Computational Audiology. June 29-30, 2023.
• Evaluating tinnitus functional connectivity. Tamanna Dhore, Shagun Ajmera, Ivan Abraham, Rafay Khan, Fatima Husain. The 9th Annual BRAIN Initiative Meeting. Bethesda, MD. June 12-13, 2023.
• Harmonizing independent MRI datasets for greater statistical power in hearing research. Ivan Abraham, Shagun Ajmera, Rafay Khan, Amber Leaver, Jonathan Peelle, Brad Sutton, Fatima Husain. 46th Annual Midwinter Meeting of The Association for Research in Otolaryngolog. Orlando, Florida, February 11-15, 2023

Patents

• Automated, Objective Method of Assessing Tinnitus Condition. Fatima T. Husain, Yuliy Baryshnikov, Benjamin J. Zimmerman, Ivan T. Abraham. US Patent No: 10,959,670

Recent Courses Taught

• BIOE 205 - Signals & Systems in Bioengrg
• CS 374 BL1 (CS 374 BYA, CS 374 BYB, CS 374 BYC, CS 374 BYD, CS 374 BYE, CS 374 BYF, CS 374 BYG, CS 374 BYH, CS 374 CSP, ECE 374 BL1, ECE 374 BLZ, ECE 374 BYA, ECE 374 BYB, ECE 374 BYC, ECE 374 BYD, ECE 374 BYE, ECE 374 BYF, ECE 374 BYG, ECE 374 BYH, ECE 374 CSP, ECE 374 ZJU) - Intro to Algs & Models of Comp
• ECE 110 - Introduction to Electronics
• ECE 220 - Computer Systems & Programming
• ECE 515 (ME 540) - Control System Theory & Design