Yongmo Park

Engineering · University of Michigan

Early career · publishing since 2018

Advanced Memory and Neural Computing Ferroelectric and Negative Capacitance Devices Semiconductor materials and devices Neural dynamics and brain function Photoreceptor and optogenetics research

Publications

Citations

1,402

Est. group size

Recurring co-author estimate

Active years

Publishing since 2018

In context

Among 583 early career Engineering PIs within our index

Citations: 1,402cohort median 150

Publications / year (recent): 2.6cohort median 2.6

Typically publishes in teams of ~7 · 11% small-team papers (≤3 authors) · across 11 venues

Publication cadence

Publications per year over the last 10 years — averaging 2.6/year recently

Collaborators per year

Distinct co-authors at University of Michigan each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.

Recent publications

FHENDI: A Near-DRAM Accelerator for Compiler-Generated Fully Homomorphic Encryption Applications
2025
Safe, secure and trustworthy compute-in-memory accelerators
Nature Electronics · 2024
Dramaton: A Near-DRAM Accelerator for Large Number Theoretic Transforms
IEEE Computer Architecture Letters · 2024
Side-Channel Attack Analysis on In-Memory Computing Architectures
IEEE Transactions on Emerging Topics in Computing · 2023
PowerGAN: A Machine Learning Approach for Power Side‐Channel Attack on Compute‐in‐Memory Accelerators
Advanced Intelligent Systems · 2023
PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators
arXiv (Cornell University) · 2023
Chip-less wireless electronic skins by remote epitaxial freestanding compound semiconductors
Science · 2022
Device Variation Effects on Neural Network Inference Accuracy in Analog In‐Memory Computing Systems
Advanced Intelligent Systems · 2022
RM-NTT: An RRAM-Based Compute-in-Memory Number Theoretic Transform Accelerator
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits · 2022
Tuning Resistive Switching Behavior by Controlling Internal Ionic Dynamics for Biorealistic Implementation of Synaptic Plasticity
Advanced Electronic Materials · 2022
Columnar Learning Networks for Multisensory Spatiotemporal Learning
Advanced Intelligent Systems · 2022
Side-channel attack analysis on in-memory computing architectures
arXiv (Cornell University) · 2022
Device Non-Ideality Effects and Architecture-Aware Training in RRAM In-Memory Computing Modules
2021
Alloying conducting channels for reliable neuromorphic computing
Nature Nanotechnology · 2020
Publisher Correction: Alloying conducting channels for reliable neuromorphic computing
Nature Nanotechnology · 2020

Publishes in

Nature Electronics×3
Advanced Intelligent Systems×3
Nature Nanotechnology×2
Advanced Electronic Materials×2
arXiv (Cornell University)×2

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 25, 2026.

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