Curriculum Vitae
Yusuf Qwareeq
PhD Candidate in Electrical Engineering, Temple University
Research profile
PhD candidate in Electrical Engineering working on neuroimaging and electrophysiology methods for surgical planning. My research covers seizure onset zone localization from interictal intracranial EEG, multi-modal MRI of chronic spinal cord injury, and MR sequence development with offline non-Cartesian reconstruction. I build the reproducible pipelines and the desktop software this work runs on.
Education
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PhD, Electrical Engineering
Temple University
Advisor: Iyad Obeid. Research conducted in Mahdi Alizadeh's laboratory at Thomas Jefferson University. Passed the preliminary examination in summer 2025. Doctoral committee: Iyad Obeid and Joseph Picone, with Mahdi Alizadeh as an external advisory member. Entered the doctoral program in Computer and Information Sciences in 2022 and transferred to Electrical and Computer Engineering in 2023.
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MS, Electrical Engineering
Temple University
Earned along the way to the PhD on the project track. Master's project: an offline decoding pipeline for two-dimensional center-out reaching data from the Cortimo intracortical brain-computer interface study, covering epoching, feature extraction, and Kalman and linear decoder training and evaluation, built in Iyad Obeid's Neural Instrumentation Laboratory. Coursework in machine learning and pattern recognition, distributed systems, algorithm design, engineering optimization, high-performance computing with GPU architectures, and advanced processor systems.
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BS, Electrical Engineering
The University of Jordan
Graduated salutatorian. Senior design: an indoor positioning system combining Wi-Fi signal strength, inertial measurement, and a recurrent neural network.
Research and professional appointments
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Graduate Research Assistant
Center for Precision Neuroimaging in Neurosurgery, Thomas Jefferson University
- Build the lab's desktop tooling for intracranial electrode localization and for structural MRI processing in spinal cord injury studies.
- Run MRI sessions on the scanner, including language-task and resting-state fMRI.
- Run electrode reconstruction and resection-contact labeling for a 29-subject SEEG cohort.
- Write native pulse sequences for the scanner in the Siemens IDEA environment, most recently a 3D center-out radial UTE that is built, simulated, and deployed.
- Reconstruct non-Cartesian data offline in Python, gridding onto a measured gradient trajectory rather than the nominal one.
- Process the lab's data for a multi-site structural MRI meta-analysis in spinal cord injury.
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Graduate Research and Teaching Assistant
Temple University
- Hold a departmental assistantship at Temple University, first in Computer and Information Sciences and, since 2023, in Electrical and Computer Engineering.
- Built the offline neural decoding pipeline for the Cortimo intracortical brain-computer interface study in the Neural Instrumentation Laboratory.
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Software Developer
Globitel, Amman, Jordan
- Designed a real-time monitoring service for audio, video, and screen activity using REST APIs, WebRTC, multithreading, and WebSockets.
- Implemented cryptographic utilities, including Base32 encoding, cipher libraries, and a licensing framework.
Peer-reviewed publications
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Maximum elastic scheduling of virtual machines in general graph cloud data center networks
Cyber-Physical Systems, volume 10, issue 3, pages 283 to 301, 2024. doi.org/10.1080/23335777.2023.2301106
Manuscripts under review
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Altered static and dynamic brain functional connectivity associated with visual disturbances and hallucinations in Parkinson's disease
Movement Disorders, submitted March 2026. *These authors contributed equally.
Conference abstracts
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Regime-gated neural fragility for interictal seizure onset zone localization: guardrails against near-singular inflation
Digital poster, American Society for Stereotactic and Functional Neurosurgery Biennial Meeting, Cleveland, Ohio, 2026.
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State-robust temporal lobe network phenotype in interictal SEEG across awake and sleep
Printed poster, American Society for Stereotactic and Functional Neurosurgery Biennial Meeting, Cleveland, Ohio, 2026.
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Volumetric morphometry demonstrates regional atrophy patterns and structure-function relationships in chronic spinal cord injury
American Society for Stereotactic and Functional Neurosurgery Biennial Meeting, Cleveland, Ohio, 2026.
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Diffusion tensor imaging reveals spatially specific structure-function relationships in chronic spinal cord injury
American Society for Stereotactic and Functional Neurosurgery Biennial Meeting, Cleveland, Ohio, 2026.
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Spatiotemporal changes in metabolic activity assessed by dynamic PET in chronic spinal cord injury using graph-based functional network
American Society for Stereotactic and Functional Neurosurgery Biennial Meeting, Cleveland, Ohio, 2026.
Teaching experience
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Teaching Assistant
ENGR 1102, Introduction to Engineering Problem Solving, Temple University
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Teaching Assistant
ECE 2113, Electrical Devices and Systems I Lab, Temple University
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Teaching Assistant
ECE 3824, Engineering Computation III, Temple University
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Teaching Assistant
ECE 3822, Engineering Computation II, Temple University
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Teaching Assistant
CIS 2107, Computer Systems and Low-Level Programming, Temple University
Outreach and academic service
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Camp Director, PY-STEM
College of Engineering, Temple University
- The materials for this middle school summer camp are published at campnotebook.org.
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Camp Co-director, PY-STEM
College of Engineering, Temple University
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Camp Counselor and Curriculum Developer, PY-STEM
College of Engineering, Temple University
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Editorial Assistant
IEEE Transactions on Services Computing
Professional affiliations
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IEEE Eta Kappa Nu, Iota Sigma chapter
Member
Technical and methodological skills
- Neuroimaging
- FreeSurfer, SPM, SimpleITK, NiBabel, BIDS.
- Methods
- Network and graph analysis, functional and structural connectivity, MR sequence design and non-Cartesian reconstruction, statistical inference.
- Software
- Python, C and C++, MATLAB, TypeScript, Electron, React, SQL, LaTeX, PyTorch, NumPy, SciPy, pandas.
- Research practice
- Reproducible pipelines, automated testing, Git, Linux, Docker.