Chenchen Liu

Dr. Chenchen Liu is an Assistant Professor of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). She is affiliated with the Computing Compass Laboratory and holds a Hans Fischer Fellowship at the Technical University of Munich Institute for Advanced Study (TUM-IAS) under the focus group Enabling Neuromorphic Computing for Multi-Tenant AI. Her work bridges hardware-software co-design with neuromorphic computing.

• Ph.D., Electrical and Computer Engineering, University of Pittsburgh (2017)
• M.S., Electrical and Computer Engineering, Peking University (2013)

Her research focuses on high-performance computing for machine learning through novel computer architecture and system designs, brain-inspired computing, machine learning security, non-volatile memory, and VLSI design. Key areas include:

• Neuromorphic hardware resilience and optimization
• Memristor-based neural network architectures
• Runtime scheduling for multi-tenant AI
• Security in neuromorphic computing
• Energy-efficient memory systems

Recent publications explore memristor defect tolerance, ReRAM-based CNN training efficiency, and spiking network quantization. The work emphasizes hardware-software co-design for AI acceleration.

• NSF Career Award (2023)
• Best Poster Award, Machine Learning and Systems Conference (2022)
• Best Paper Award, IEEE Symposium on VLSI (2014)

She contributes to academic service as TPC Chair/Track Chair for DAC, GLVLSI, Cloud Summit conferences and serves as Associate Editor for IEEE Transactions on Circuits and Systems (TCAS-1) and Neurocomputing journal.