Columbia University

Kevin Liu Hermstein

M.S./Ph.D. Student
Electrical Engineering
Columbia University

Office: 801 CEPSR
Email:
klh2179@columbia.edu

Kevin Hermstein received a B.S. in Electrical Engineering (Cum Laude) from the University of Maryland, College Park in 2023. His research interests include wireless networks, digital signal processing, and software defined radio.

Education

Columbia University (September 2023 – Present)

  • M.S./Ph.D. in Electrical Engineering (advised by Prof. Gil Zussman)
    • Evergreen Fellow

University of Maryland, College Park (August 2019 – May 2023)

  • B.S. in Electrical Engineering, cum laude – 3.96 GPA

Awards & Honors

  • Columbia
    • Columbia University Evergreen Fellowship (2023)
  • UMD
    • Tau Beta Pi (2021-2023)
    • Dean’s List (2019-2023)
    • Presidential Scholarship (2019-2023)
    • AFCEA Cyber Studies Merit Scholarship (2019-2023)
    • Jean and Everett Dillard Scholarship (2022)
    • George Corcoran Memorial Scholarship (2021)

Outreach & Education

  • COSMOS Toolkit lesson at Energy Tech High School (November 2023)
  • Volunteer, Girl’s Science Day (November 2023)
  • COSMOS Toolkit lesson at Dreamyard Preparatory School (October 2023)

Work Experience

Software Engineer Intern at Raytheon AST (June – August 2023)

  • Developed stages of a preprocessing pipeline for a blind waveform identification ML model.
  • Adapted algorithms in Python for filtering, mixing, and resampling to detect center frequency and baud rate of a signal given real valued samples.
  • Wrote bash scripts to test the performance of the model and pipeline on over 9000 signal snapshots.

Software Engineer Intern at Raytheon AST (June – August 2022)

  • Created a dynamic HTML web page to control RF switches from remote locations.
  • Web page could toggle inputs, check for errors on the switches, display command history, and toggle settings of the Python backend.
  • Hosted the webpage on a virtual machine configured to automatically start the web server on startup.
  • Added support for cross polarity, special diversity signals to a software-based multi-threaded demodulation product in C++.

Software Engineer at Raytheon AST (June – August 2021)

  • Developed scripts in Python to streamline DevOps. Script interfaced with Npm, Docker and Github repositories, as well as Jenkins.
  • Wrote MySql scripts to initialize a MySql database and handle the removal and addition of data
  • Documented approach to MySql database and functionality of scripts.

Embedded Software Intern at AST Space Mobile (January– May 2021)

  • Developed flight software for satellites using C++ on an STM32 processor in the Keil and Cube IDE.
  • Debugged hardware, like CAN busses and transceivers, with oscilloscopes and logic analyzers.
  • Utilized Gitlab and Git submodules for version control and Jira to track tasks.

Software Engineer Intern at Raytheon AST (June – August 2020)

  • Documented a detailed approach to extract metadata and raw text from Office Suite and PDF files.
  • Developed library in C++ to handle the extraction of metadata and raw text from Office Suite documents and PDF documents using a pointer to the file in memory and a length of data.
  • Presented and demoed feature to multiple teams and department managers.

Research Experience

Undergraduate Research Assistant, UMD Institute for Research in Electronics and Applied Physics (August 2022 – August 2023)

  • University of Maryland, College Park Institute for Research in Electronics and Applied Physics
  • Computational investigation into the prediction and quality of space charge dominated electron beams.
  • Supported the Bright Beams Collective, a world-class research facility in beam and accelerator physics at the Institute for Research in Electronics and Applied Physics.
  • Wrote Python scripts utilizing Warp, a particle-in-cell package, to simulate high energy electron beams.
  • PI: Patrick O’Shea, Ph.D. Mentor: Liam Pocher, Ph.D. Candidate

ACES Honeypot Project, UMD (August – December 2020)

  • Performed a categorical and quantitative examination of honeypot attacker characteristics on a public network.
  • Wrote Bash scripts to monitor connections made to honeypots, save files from the honeypots, log activity on the honeypots, and recycle the honeypots after a certain amount of time or when the connection closes.
  • Utilized crontab to automate the backing up of logs and honeypot files.
  • Confirmed other studies performed on similar networks with our data.

Teaching Experience

Teaching Assistant

  • Columbia University, ELEN1201 Intro to Electrical Engineering, Fall 2023

Undergraduate Teaching Fellow

  • University of Maryland, ENEE140 Intro to Programming for Engineers, Fall 2021
  • University of Maryland, ENEE140 Intro to Programming for Engineers, Fall 2022
  • University of Maryland, ENEE140 Intro to Programming for Engineers, Spring 2023

ECE Department Tutor

  • University of Maryland, Spring 2022