My research focused on compute-in-memory architectures and their applications in machine learning, recommendation systems, and cryptographic acceleration. I worked on the full stack — from device-level design with emerging non-volatile memories to system-level compilation and simulation frameworks. Published in top EDA and device venues including ASPLOS, DAC, ICCAD, DATE, and IEDM.
A 28nm FeFET-Based Content-Addressable Memory for Energy-Efficient Similarity Search and Few-Shot Learning
A. Vardar, N. Laleni, S. Baskaran, M. M. Sharifi, M. Li, F. Muller, M. Gunter, Y. Qian, C. Zhuo, X. S. Hu, S. Dunkel, M. Trentzsch, S. Beyer, J. Muller, S. Gangopadhyay, T. Kampfe
IEEE Journal of the Electron Devices Society, 2025
28nm Ferroelectric Field Effect Transistor Based Associative Memory Array for Few-Shot Learning and Genome Analysis
A. Vardar, N. Laleni, M. Li, M. M. Sharifi, M. Gunter, F. Muller, Y. Qian, C. Zhuo, X. S. Hu, S. Dunkel, M. Trentzsch, S. Beyer, J. Muller, S. Gangopadhyay, T. Kampfe
VLSI-TSA 2025
Cross-Layer Design and Design Automation for In-Memory Computing based on Non-Volatile Memory Technologies
X. S. Hu, M. Y. Lee, M. Li, J. P. C. De Lima, L. Liu, Z. Zhu, J. Castrillon, M. Niemier, A. F. Laguna
IEEE Design & Test, 2025
Unlocking the Power of Content Addressable Memory for Memory-Intensive Applications
M. Li
Ph.D. Dissertation, University of Notre Dame, 2024
C4CAM: A Compiler for CAM-based In-Memory Accelerators
H. Farzaneh, J. P. C. De Lima, M. Li, A. A. Khan, X. S. Hu, J. Castrillon
ASPLOS 2024
CAMASim: A Comprehensive Simulation Framework for Content-Addressable Memory based Accelerators
M. Li, S. Liu, M. M. Sharifi, X. S. Hu
arXiv 2024
Accelerating Recommendation Systems With In-Memory Embedding Operations
M. Li, D. Reis, A. F. Laguna, M. Niemier, X. S. Hu
IEEE Transactions on Circuits and Systems for AI, 2024
Co-designing NVM-based Systems for Machine Learning and In-Memory Search Applications
J. Henkel, L. Siddhu, H. Nassar, L. Bauer, J. J. Chen, C. Hakert, T. Seidl, M. Li, et al.
ICCAD 2024
Sky-TCAM: Low-Power Skyrmion-Based Ternary Content Addressable Memory
R. Zhang, C. Tang, X. Sun, M. Li, W. Jin, P. Li, X. Cheng, X. S. Hu
IEEE Transactions on Electron Devices, 2023
Accelerating Polynomial Modular Multiplication with Crossbar-Based Compute-in-Memory
M. Li, H. Geng, M. Niemier, X. S. Hu
ICCAD 2023
Ferroelectric FET Configurable Memory Arrays and Their Applications
D. Reis, A. F. Laguna, M. Li, M. Niemier, X. S. Hu
IEDM 2022 (Invited)
Cross-Coupled Gated Tunneling Diodes with Unprecedented PVCRs Enabling Compact SRAM Design — Part II: SRAM Circuit
M. Li, P. Wu, B. Zhou, J. Appenzeller, X. S. Hu
IEEE Transactions on Electron Devices, 2022
Associative Memory Based Experience Replay for Deep Reinforcement Learning
M. Li, A. Kazemi, A. F. Laguna, X. S. Hu
ICCAD 2022
IMARS: An In-memory-computing Architecture for Recommendation Systems
M. Li, A. F. Laguna, D. Reis, X. Yin, M. Niemier, X. S. Hu
DAC 2022
A Quantization Framework for Neural Network Adaption at the Edge
M. Li, X. S. Hu
DATE 2021
Nonvolatile and Energy-Efficient FeFET-Based Multiplier for Energy-Harvesting Devices
M. Li, X. Yin, X. S. Hu, C. Zhuo
ASP-DAC 2020