معرفی
Maryam Parsa is a Tenure-Track Assistant Professor in the Department of Electrical and Computer Engineering at George Mason University. Her research focuses on neuromorphic computing, Bayesian optimization, and algorithm-hardware co-design, aiming to develop energy-efficient, secure, and resilient AI systems for edge computing applications. She holds a PhD from Purdue University, supported by an Intel/SRC fellowship, and previously worked at Oak Ridge National Lab.
Education:
- PhD in Electrical and Computer Engineering, Purdue University (2020)
- MS in Civil Engineering, Purdue University (Year unknown)
- MS in Electrical and Computer Engineering, University of Ottawa (Year unknown)
- BS in Electrical and Computer Engineering, Khaje Nasir Toosi University of Technology (Year unknown)
Research Interests:
- Neuromorphic learning and bio-inspired robotics
- Bayesian optimization for materials discovery
- Privacy-preserving spiking neural networks
- Edge AI and real-time embedded systems
Major Achievements:
- Lead a $2.4M 3-year project on 3D chip creation (2023)
- Recipient of Intel/SRC PhD Fellowship
Current Work:
- Developing neuromorphic architectures for smart healthcare and cyber-physical systems
- Pioneering causal machine learning for materials innovation
- Advancing privacy & security in neuromorphic systems
Labs/Teams: Active in Mason's neuromorphic computing research group with collaborations in national labs and industry partners.
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