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Yiran Chen

John Cocke Distinguished Professor of Electrical and Computer Engineering
Electrical and Computer Engineering
130 Hudson Hall, PO Box 90291, Durham, NC 27708
405 Wilkison Building, 534 Research Dr., Durham, NC 27705
Office hours Appointment only.  

Research Interests


Emerging memory and storage technologies

Embedded systems, CPS, edge computing, and mobile applications

Neuromorphic computing, deep learning and system security

Low power circuit and system

Selected Grants


DoD Center of Excellence in Advanced Computing and Software (COE-ACS)

ResearchPrincipal Investigator · Awarded by Georgia State University · 2023 - 2028

Collaborative Research: FuSe: Efficient Situation-Aware AI Processing in Advanced 2-Terminal SOT-MRAM

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2023 - 2026

AI Institute: Athena: AI-Driven Next-generation Networks at the Edge

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2021 - 2026

EAGER: An Integrated Fiber Sensing and Communication Living Lab in the Research Triangle

ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2023 - 2025

Collaborative Research: SHF: Medium: Revitalizing EDA from a Machine Learning Perspective

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2021 - 2025

DoD Center of Excellence in Advanced Computing and Software (COE-ACS)

ResearchPrincipal Investigator · Awarded by Georgia State University · 2023 - 2028

Collaborative Research: FuSe: Efficient Situation-Aware AI Processing in Advanced 2-Terminal SOT-MRAM

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2023 - 2026

AI Institute: Athena: AI-Driven Next-generation Networks at the Edge

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2021 - 2026

EAGER: An Integrated Fiber Sensing and Communication Living Lab in the Research Triangle

ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2023 - 2025

Collaborative Research: SHF: Medium: Revitalizing EDA from a Machine Learning Perspective

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2021 - 2025

Conference: 2023 CISE Computer System Research PI Meeting

ConferencePrincipal Investigator · Awarded by National Science Foundation · 2023 - 2024

Collaborative Research: CCRI:NEW: Research Infrastructure for Real-Time Computer Vision and Decision Making via Mobile Robots

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2021 - 2024

FET: Small:RESONANCE:Accelerating Speech/Language Processing through Collective Training using Commodity ReRAM Chips

ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2019 - 2023

Operating at the intersection of Out-of-distribution detection and adversarial machine learning

ResearchPrincipal Investigator · Awarded by Air Force Research Laboratory · 2021 - 2023

Distributed Heterogenous Data Analytics via Federated Learning

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2021 - 2023

Collaborative Research: Two-dimensional Synaptic Array for Advanced Hardware Acceleration of Deep Neural Networks

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2020 - 2023

IUCRC Proposal Phase 1 Duke: Center for Alternative Sustainable and Intelligent Computing (ASIC)

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2018 - 2023

Acceleration for Adversarial Machine Learning (AML)

ResearchPrincipal Investigator · Awarded by Army Research Office · 2019 - 2023

Collaborative Workshop Proposal: Redefining the Future of Computer Architecture from First Principles

ConferencePrincipal Investigator · Awarded by National Science Foundation · 2022 - 2023

SPX: Collaborative Research: Ula! - An Integrated DNN Acceleration Framework with Enhanced Unsupervised Learning Capability

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2017 - 2022

A Collaborative Machine Learning Approach to Fast and High-Fidelity Design Prediction

ResearchPrincipal Investigator · Awarded by The University of Texas at Dallas · 2019 - 2021

Workshop Proposal: Processing-In-Memory (PIM) Technology - Grand Challenges and Killer Applications

ConferencePrincipal Investigator · Awarded by National Science Foundation · 2020 - 2021

Exploring Vulnerability & Robustness of Deep Learning Systems

ResearchPrincipal Investigator · Awarded by Air Force Research Laboratory · 2018 - 2021

CCRI: Planning: Collaborative Research: Low-Power Computer Vision Platform

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2019 - 2020

SMALE: Enhancing Scalability of Machine Learning Algorithms on Extreme Scale Computing Platforms

ResearchPrincipal Investigator · Awarded by Department of Energy · 2017 - 2020

SHF:Small: Cross-Platform Solutions for Pruning and Accelerating Neural Models

ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2017 - 2019

NeoNexus: The Next-generation Information Processing System across Digital and Neuromorphic Computing Domains

ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2017 - 2018

Planning IUCRC Duke University: Center for Alternative Sustainable and Intelligent Computing

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2017 - 2018

"CAREER: Centaur: A Bio-inspired Ultra Low Power Hybrid Embedded Computing Engine Beyond One TeraFlops/Watts"

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2017 - 2018

The Design of Neuromorphic Controller System Built with Memristor Crossbars

ResearchCo-Principal Investigator · Awarded by University of Pittsburgh · 2017 - 2017

External Relationships


  • A*STAR Singapore
  • Academia Sinica, Taiwan
  • FELLOWS FUND, LLC
  • Khalifa University
  • National Science Foundation
  • A*STAR Singapore
  • Academia Sinica, Taiwan
  • FELLOWS FUND, LLC
  • Khalifa University
  • National Science Foundation
  • NeoNexus Group
  • Research Grants Council of Hong Kong
  • Swiss Federal Institute of Technology Lausanne
  • The University of Hong Kong
  • The University of Texas at San Antonio
  • University of Florida
  • Vanderbilt University

This faculty member (or a member of their immediate family) has reported outside activities with the companies, institutions, or organizations listed above. This information is available to institutional leadership and, when appropriate, management plans are in place to address potential conflicts of interest.