Dr. Mahyar Shahsavari

Assistant Professor

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Biography

Mahyar Shahsavari is an Assistant Professor in the Artificial Intelligence group at the Donders Institute for Brain, Cognition, and Behavior at Radboud University. His academic journey includes a PhD in Computer Science and significant experience in neuromorphic computing, developing simulation platforms based on spiking neural networks that utilize memristor nanodevices as artificial synapses. Prior to his current role, he was a research associate at Imperial College London, where he focused on neuromorphic computing and parallel architectures, including FPGAs. His research interests encompass cognitive computing, unconventional computing inspired by brain functions, and machine learning applications on novel architectures. Mahyar is dedicated to advancing the field of trustworthy AI models and real-time data processing, especially in collaboration with the semiconductor industry. He has taught courses such as AI Research Colloquium, Applied Machine Learning, and Neuromorphic Engineering. Outside of academia, Mahyar enjoys swimming, nature, playing football, and the violin.

Research Interests

Experience

Assistant Professor

— Present

Donders Institute for Brain, Cognition, and Behavior • Nijmegen

Conduct research and teach in the area of artificial intelligence and neuromorphic computing.

Research Associate

— Present

Imperial College London • London

Worked on neuromorphic computing using parallel architectures.

Courses

AI Research Colloquium Applied Machine Learning Neuromorphic Engineering

Requirements for Radboud University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:5
Reading
Required:4.5
Writing
Required:4.5
Speaking
Required:4.5
Total
Required:100
PTE
Listening
Required:61
Reading
Required:61
Writing
Required:61
Speaking
Required:61
Overall
Required:67
Prerequisites
Bachelor's degree in relevant field (Linguistics, Communication, or related) Bachelor's thesis grade of at least 8.0/10 (US 3.5+ equivalent)
Application Checklist
  • Passport or ID
  • Official Bachelor's degree certificate (or proof of graduation)
  • Academic transcript of records
  • Description of grading scale
  • Personal statement/Motivation letter
  • CV/Resume
  • Course list/Course descriptions
  • Research proposal or Bachelor thesis
Specialization Notes

Applies to Research Master's in Linguistics and Communication Sciences (Centre for Language Studies/Department of Language and Communication).