Yusuf Qwareeq
COMPUTATIONAL NEUROSCIENCE · NEUROIMAGING · ENGINEERING
Electrical Engineering PhD student and research assistant building tools for surgical planning, brain mapping, and image reconstruction. I work at the intersection of MRI physics, signal processing, and clinical neuroscience.
Experience
Jefferson Hospital, Center for Precision Neuroimaging in Neurosurgery (CPNN)
Research Assistant
- Building software tools for intracranial electrode localization and surgical planning in epilepsy.
- Designing and implementing functional MRI protocols for visual neuroscience studies.
- Developing offline MRI reconstruction pipelines from raw scanner data, including MR elastography sequences.
- Processing and analyzing multi-subject neuroimaging datasets for clinical research.
Temple University
Graduate Research and Teaching Assistant
- Co-lead instructor for PY-STEM, a middle school summer STEM camp in Temple’s College of Engineering (2024 and 2025). Developed curriculum modules, led daily sessions, and supervised undergraduate peer instructors.
- TA for CIS 2107 (Computer Systems and Low-Level Programming) lab sections in the CIS department (2022 to 2023).
- TA for ENGR 1102 (Introduction to Engineering Problem Solving) in the College of Engineering (2024 to 2025).
- Published a method for evaluating maximum admissible VM load through flow-network reduction, appearing in Cyber-Physical Systems (2024).
Globitel
Software Developer
- Designed a real-time monitoring service for audio, video, and screens using RESTful APIs, WebRTC, multithreading, and WebSockets.
- Implemented cryptographic utilities for secure data handling including Base32 encoding, cipher libraries, and a licensing framework.
Education
Temple University
PhD in Electrical Engineering (in progress)
Focus: computational neuroscience, neuroimaging, MRI reconstruction.
IEEE Eta Kappa Nu (Iota Sigma).
Temple University
MS in Electrical Engineering — GPA: 3.85
Algorithm Design, Distributed Systems, Machine Learning, Engineering Optimization, HPC with GPU Architectures, Advanced Processor Systems.
The University of Jordan
BS in Electrical Engineering (Salutatorian) — GPA: 3.79
Senior Design: IoT-based indoor positioning system using Wi-Fi RSSI, IMU fusion, and LSTM-based deep learning.
Skills
Neuroimaging
Languages
ML & Data
Infrastructure
Projects
Projects will be added soon.
Publications
Journal Articles
Qwareeq, Yusuf, Abdalaziz Sawwan, and Jie Wu. “Maximum elastic scheduling of virtual machines in general graph cloud data center networks.” Cyber-Physical Systems 10.3 (2024): 283–301. DOI ↗
Conference Abstracts
Yusuf Qwareeq, Michael Kogan, Caio Matias, Michael Sperling, Ashwini Sharan, Chengyuan Wu, Kevin Hines, and Mahdi Alizadeh. “State-robust temporal lobe network phenotype in interictal SEEG across awake and sleep.” 2026 ASSFN Biennial Meeting. Printed poster.
Yusuf Qwareeq, Michael Kogan, Caio Matias, Michael Sperling, Ashwini Sharan, Chengyuan Wu, Kevin Hines, and Mahdi Alizadeh. “Regime-gated neural fragility for interictal seizure onset zone localization: guardrails against near-singular inflation.” 2026 ASSFN Biennial Meeting. Digital poster.
Rupesh Kumar Chikara, Shaghayegh Poursabbagh, Luke Musser, Kristin Gustafson, Yusuf Qwareeq, Kristofer Feeko, David Leong, Arbaz Momin, Stephanie Serva, Scott Faro, Andrew Newberg, Caio Matias, Feroze Mohamed, James Harrop, Laura Krisa, and Mahdi Alizadeh. “Spatiotemporal changes in metabolic activity assessed by dynamic PET in chronic spinal cord injury using graph-based functional network.” 2026 ASSFN Biennial Meeting. Printed poster.
Jack Hennen, Shaghayegh Poursabbagh, Luke Musser, Kristin Gustafson, Yusuf Qwareeq, Rupesh Chikara, Kristofer Feeko, David Leong, Joseph Ifrach, Arbaz Momin, Stephanie Serva, Scott Faro, Islam Fayed, Caio Matias, Feroze Mohamed, James Harrop, Laura Krisa, and Mahdi Alizadeh. “Diffusion tensor imaging reveals spatially specific structure-function relationships in chronic spinal cord injury.” 2026 ASSFN Biennial Meeting. Printed poster.
Jack Hennen, Shaghayegh Poursabbagh, Luke Musser, Kristin Gustafson, Yusuf Qwareeq, Rupesh Chikara, Kristofer Feeko, David Leong, Joseph Ifrach, Arbaz Momin, Stephanie Serva, Scott Faro, Islam Fayed, Caio Matias, Feroze Mohamed, James Harrop, Laura Krisa, and Mahdi Alizadeh. “Volumetric morphometry demonstrates regional atrophy patterns and structure-function relationships in chronic spinal cord injury.” 2026 ASSFN Biennial Meeting. Printed poster.
Testimonials
Yusuf consistently delivered high-quality work punctually. His design and implementation of a real-time monitoring service significantly enhanced our projects.
Yusuf’s academic performance was exceptional, demonstrating great intelligence and potential for research. He displayed excellent verbal and written communication skills.
Yusuf demonstrated exceptional skills and dedication as a TA. His ability to communicate technical content effectively made him an excellent educator.