Skip to content
View ewesterhoff's full-sized avatar

Block or report ewesterhoff

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
ewesterhoff/README.md

Hi there 👋, I'm Ewesterhoff!

Welcome to my GitHub profile! I'm passionate about coding, problem-solving, and building impactful projects. Here's a list of my recent projects!

Publications

Evanescent wave interactions with nanoparticles on optical fiber modulate side emission of germicidal ultraviolet light
Emma Westerhoff, H. Jung, A. Burwell, S. Zhang, and P. Bermel
View Publication
Optical Materials Express, Vol. 13, Issue 7, 2023

Neuromorphic Hardware

Software Modeling of In-Sensor Reservoir Computing
Spring 2025 – Current

  • Developed a software model of reservoir computing using neuromorphic principles, replicating physical properties of wearable in-sensor photo-transistors.
  • Implemented real-time classification algorithms on reservoir computing architectures to enable adaptive decision-making in dynamic environments.

Computational Neuroscience

Resource-Constrained Recurrent Neural Networks for Human Decision Making
Fall 2024 – Current

  • Designed and implemented resource-constrained RNNs to simulate human decision-making processes in uncertain, dynamic environments.
  • Performed mathematical analysis on stability and learning behavior under different biologically and computationally plausible constraints, including sparsity and power.

High-Performance Computing

Distributed Tomographic Reconstruction As A Service
Fall 2024

  • Engineered a distributed system for tomographic reconstruction, enabling high-performance computation over cloud-based services.
  • Designed parallel algorithms for efficient image reconstruction in large-scale systems, utilizing GPU acceleration to speed up processing time.
  • Utilized a variety of technologies to provide a live service, including k8s, Docker, Redis, MinIO, microservices, CI/CD, and a front-end REST API.

Undergraduate Senior Capstone

Watts Water
Aug. 2019 – May 2020

  • Designed low-power wireless sensor network for Legionella control in hospitals.
  • Wrote full-stack code (embedded C++ to PowerBI dashboards) that integrates the network with cloud infrastructure and visualization tools.

Pinned Loading

  1. vivienyuwenchen/SoftDes-Final-Project vivienyuwenchen/SoftDes-Final-Project Public

    Python 1 1