MINDS Team
Meet our talented team of researchers working at the Mathematical Informatics and Networked Dynamical Systems (MINDS) the intersection of engineering, mathematics, and machine learning.

Yalda Zafari
Research Assistant
M.Sc. Biomedical Engineering
Yalda is a research assistant in the MINDS Lab with a Master’s degree in Biomedical Engineering.
Current Project:
Her research focuses on developing trustworthy deep learning models for healthcare applications, with a particular emphasis on medical image analysis

Roaa El-Alfy
Research Assistant
B.Sc. Computer Engineering
Focuses on building ML models for healthcare applications.
Current Project:
Graph neural networks for breast cancer diagnosis

Mohammed Bashir
Research Assistant
B.Sc. Electrical Engineering
Mohamed is a research assistant in the MINDS Lab with a background in electrical engineering and control systems. He is currently applying deep learning and state-space modeling techniques to improve stroke source identification in medical diagnostics.
Current Project:
Building a stroke source identification pipeline using deep learning and state-space models.

Laith Al-Jayatwa
Masters Student
M.Sc. Material Science
Combining materials science with machine learning to optimize additive manufacturing processes for high-performance materials.
Current Project:
Developing ML models for anomaly detection in in 3D printed objects
Naifah Fahad ALsaeedi
PhD Student
PhD Candidate
Researching advanced control strategies for complex nonlinear systems with applications in aerospace and robotics.
Current Project:
Developing robust nonlinear control algorithms for autonomous underwater vehicles

Muhammad Muhsen Khan
Research Assistant
B.Sc. Computer Engineering
Muhsen is a research assistant in the MINDS Lab with a background in computer engineering and large language models. He is currently applying deep learning and state-space modeling techniques to improve stroke source identification in medical diagnostics.
Current Project:
Building a stroke source identification pipeline using deep learning and state-space models.

Osama Hardan
Research Assistant
B.Sc. Computer Science
Osama is a research assistant in the MINDS Lab with a background in computer science and machine learning. He is currently applying deep learning and state-space modeling techniques to improve stroke source identification in medical diagnostics.
Current Project:
Building a stroke source identification pipeline using deep learning and state-space models.

Omar Elshenhabi
Research Assistant
B.Sc. Computer Science
Omar is a research assistant in the MINDS Lab with a background in Computer Science and Deep Learning. He is currently applying deep learning and state-space modeling techniques to improve stroke source identification in medical diagnostics.
Current Project:
Building a stroke source identification pipeline using deep learning and state-space models.
Future Team Member
Position to be determined
Exciting research projects coming soon
Join Our Research Team
We're always looking for talented researchers to join our interdisciplinary team. If you're passionate about innovation at the intersection of engineering and technology, we'd love to hear from you.
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