Ali Azarpeyvand

Ali Azarpeyvand is a Researcher in the Department of Computer Systems at Tallinn University of Technology, specializing in dependable computing systems.

His research focuses on hardware reliability, fault-tolerant architectures, and efficient deep learning accelerators. Recent publications develop adaptive multipliers, fault mitigation techniques for neural networks, and heterogeneous quantization methods. Work emphasizes hardware-aware optimizations for edge computing applications.

Azarpeyvand's scholarship demonstrates consistent focus on improving reliability and efficiency in hardware systems, particularly through approximate computing and adaptive fault tolerance for deep neural networks.