Event
ECE Colloquium Series- Dr. Anand Subramoney, Royal Holloway University of London
Friday, May 1, 2026
3:30 p.m.-4:30 p.m.
Jeong H. Kim Engineering Building, Room 1110
Darcy Long
301 405 3114
dlong123@umd.edu
Speaker: Dr. Anand Subramoney, Assistant Professor, Royal Holloway, University of London
Title: Scalable Architectures for Neuromorphic AI
Abstract: Neuromorphic computing provides the potential to scale up AI models while remaining as energy efficient as the human brain. But what are the building blocks we need for scalable neuromorphic AI? I will discuss how to design architectures for neuromorphic machine learning from first principles, taking inspiration from biology without being constrained by biological details. I will present our recent work on using sparsity and distributed learning to improve the scalability and efficiency of neuromorphic deep learning models.
Bio: Dr Anand Subramoney is a Lecturer (Assistant Professor) in the Department of Computer Science at Royal Holloway, University of London. He is broadly interested in learning and intelligence, both algorithmic and biological. His current research focusses on understanding intelligence both through the engineering lens of neuromorphic computing and the biological lens of neuroscience. His research draws inspiration from both in his quest to build a better and more general artificial intelligence.
