During her PhD studies, Maryam Sadeghi explored various designs of brain-inspired spiking neural networks to optimize power consumption in large-scale systems. Her work focused on complex applications, including image processing, audio recognition, and seizure prediction. She developed cutting-edge methods to enhance circuit efficiency, paving the way for achieving brain-scale neuro-inspired systems.

Her research involved the fabrication of a general-purpose neuromorphic chip capable of supporting diverse applications. Additionally, her findings contribute to leveraging neuromorphic systems in closed-loop setups for epilepsy treatment, offering promising advancements in medical technology.

The PhD study was completed at the Department of Electrical and Computer Engineering, Faculty of Technical Sciences, Aarhus University.

This summary was prepared by the PhD student.

Time: Monday, 10 March 2025 at 13:00
Place: Building 5124, room 038, Department of Electrical and Computer Engineering, Aarhus University, Finlandsgade 22, 8200 Aarhus N.
Title of PhD thesis: Low-Power ASIC Design of a Programmable  Spiking Neural Network Platform

Contact information: Maryam Sadeghi, e-mail: sadeghi@ece.au.dk, tel.: +45 52767440

Members of the assessment committee:

Senior Researcher Abu Sebastian, IBM Research - Zurich, Switzerland

Professor Emre Neftchi, RWTH Aachen, Germany

Associate Professor Christian Fischer Pedersen (chair), Department of Electrical and Computer Engineering, Aarhus University, Denmark

Main supervisor:
Professor Farshad Moradi, Department of Electrical and Computer Engineering, Aarhus University, Denmark

Language: The PhD dissertation will be defended in English

The defence is public.

The PhD thesis is available for reading at the Graduate School of Technical Sciences/GSTS, Ny Munkegade 120, building 1521, 8000 Aarhus C.