CV

Ph.D. student in Electrical and Computer Engineering. Education, research experience and skills. A PDF version is available above.

Contact Information

Name Mufeng Chen
Email chen5240@purdue.edu

Experience

  • 2024 - present

    West Lafayette, IN, USA

    Graduate Research Assistant, NanoX Lab
    Purdue University
    Advised by Prof. Haitong Li.
    • Analog hybrid memory macros fusing eDRAM, RRAM and BEOL oxide-semiconductor FETs.
    • Zeroth-order optimization for on-device LLM fine-tuning.
    • High-Bandwidth Flash as a memory tier: accelerator interface, placement, and cross-accelerator pooling.
  • 2021 - 2024

    Hangzhou, China

    Research Assistant, RFNE Research Center
    Zhejiang University
    Advised by Prof. Er-Ping Li. Group leader of the RRAM-eDRAM hybrid CiM design program.
    • Group leader for the RRAM-eDRAM hybrid CiM design program.
    • SNN-based vision models, multimodal learning in SNNs, hybrid DNN-HDC.
    • System-level specification, digital design, and heterogeneous integration of fused CiM.
  • 2023 - 2023

    West Lafayette, IN, USA

    Research Intern, NanoX Lab
    Purdue University
    Summer internship, advised by Prof. Haitong Li.
    • Monolithic 3D-RRAM compute-in-memory.
    • Hyperdimensional computing for vision transformers.
  • 2022 - 2022

    Houston, TX, USA

    Research Intern, SIMS Lab
    Rice University
    Summer internship, advised by Prof. Kaiyuan Yang.
    • Charge-domain SRAM-CiM for Bayesian neural networks.
  • 2019 - 2019

    Wuhan, China

    Research Assistant
    Wuhan National Laboratory for Optoelectronics
    Advised by Prof. Chen Lin.
    • Optical metasurface design (achromatic metalenses).

Summary

  • Ph.D. student at Purdue ECE working on memory-centric architecture and circuits: analog hybrid memory systems fusing eDRAM, RRAM and BEOL oxide-semiconductor FETs, and High-Bandwidth Flash as a new tier in the memory hierarchy.

Education

  • 2024 - present

    West Lafayette, IN, USA

    PhD
    Purdue University
    Electrical and Computer Engineering
    • Advised by Prof. Haitong Li in the NanoX Lab.
    • Research focus — analog hybrid memory systems, and High-Bandwidth Flash as a new memory tier.
  • 2017 - 2021

    Wuhan, China

    BS
    Huazhong University of Science and Technology
    Optics and Electronic Engineering

Technical Skills

Circuit & EDA: Cadence Virtuoso, Synopsys VCS, Design Compiler, Innovus
Programming: Python (PyTorch), C/C++, MATLAB, Verilog/SystemVerilog
Research areas: Memory hierarchy / HBF, compute-in-memory, hybrid memory systems, mixed-signal CMOS+X, hyperdimensional computing

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