CV

Education

  • 2025

    Postdam, NY

    Ph.D. in Electrical and Computer Engineering
    M.Sc. in Electrical and Computer Engineering
    Clarkson University
  • 2018

    Postdam, NY

    B.Sc. in Computer Engineering
    Minors in Mathematics and Computer Science
    Clarkson University

Experience

  • 2018 - Now

    Postsdam, NY

    Graduate Research Assistant
    Clarkson University
    Electrical and Computer Engineering
    • Studied the problem of guided generation with diffusion models
    • Created AdjointDEIS a novel technique to calculate the gradients for diffusion ODEs/SDEs
    • Proposed Diffusion Morphs (DiM) a novel family of face morphing algorithms
      • Developed Fast-DiM a more computationally efficient version of DiM which uses high-order ODE solvers
      • Designed Greedy-DiM an improvment on the vanilla DiM algorithm which uses a greedy strategy to preform guided generation
    • Developed a SOTA morph detection algorithm using adversarial learning
  • 2016 - 2018

    Potsdam, NY

    Undergraduate Research Assistant
    Clarkson University
    Electrical and Computer Engineering
    • Developed machine learning algorithms for the detection of malware using hardware information
    • Studied the theory of semi-supervised anomaly detection problems
  • Summer 2016

    Rome, NY

    Engineering Intern
    Griffiss Institute
    Air Force Research Laboratory
    • Generated meta-statistics for several machine learning datasets
    • Designed android application to display data from a backend server
  • Summer 2014

    Durham, NH

    Engineering Intern
    University of New Hampshire
    InterOperability Laboratory
    • Designed a custom Linux image for embedded systems using the Yocto Project
    • Created a web application capable of monitoring and maintaining server processes

Invited Talks

  • Nov 2024

    Washington, D.C.

    Diffusion Morphs (DiM): Diffusion is all you need for highly effective face morphs
    EAB and the iMARS project
    Transatlantic Dialogue on Presentation Attack Detection
  • Sep 2024

    Buffalo, NY

    Diffusion Morphs (DiM): Leveraging Diffusion for Strong and High-Quality Face Morphing Attacks
    IEEE IJCB Conference
    Journal Presentation
  • Jul 2024

    Martigny, Switzerland

    Diffusion Morphs (DiM): The Power of Iterative Generative Models for Attacking FR Systems
    Idiap Research Insitute
    Biometrics Security & Privacy Group
  • Feb 2024
    Diffusion for the Generation of Face Morphs
    CITeR and DSA Webinar
  • Nov 2022
    Face Morph Generation and Attack Detection
    NIST
    International Face Performance Conference
  • Oct 2020
    Morph Attack Detection and Mitigation Projects
    NIST
    International Face Performance Conference

Projects

  • 2024 - Now
    AdjointDEIS
    • Efficient algorithms for backpropagation in diffusion models for guided generation and related tasks
  • 2024
    Diffusion Morphs (DiM)
    • Developed a family of SOTA face morphing algorithms using diffusion models

Research Funding

  • 2023 - 2024
    Explainable Image Quality with Transformer-based Models
    • Chen Liu (PI), Zander Blasingame
    • Funding Agency: Center for Identification Technology Research, a NSF-IUCRC
    • Amount: 50,000 (USD)
    • Role: Student Investigator
  • 2021 - 2024
    Towards the Creation of a Large Dataset of High-Quality Face Morphs
    • Chen Liu (PI), Stephanie Schuckers, Xin Li, Jeremy Dawson, Nasser Nasrabadi, David Doermann, Srirangaraj Setlur, Siwei Lyu, Xiaoming Liu, Sébastien Marcel
    • Funding Agency: Center for Identification Technology Research, a NSF-IUCRC
    • Amount: 400,000 (USD)
    • Role: Student Investigator at Clarkson
  • 2020 - 2022
    Comparative Detection of Facial Image Manipulation Techniques
    • Chen Liu (PI), Zander Blasingame
    • Funding Agency: Center for Identification Technology Research, a NSF-IUCRC
    • Amount: 45,000 (USD)
    • Role: Student Investigator
  • 2019 - 2021
    Adversarial Learning Based Approach Against Face Morphing Attacks
    • Chen Liu (PI), Zander Blasingame
    • Funding Agency: Center for Identification Technology Research, a NSF-IUCRC
    • Amount: 60,000 (USD)
    • Role: Student Investigator

Awards and Honors

  • 2024
    • IJCB Doctoral Consortium
  • 2018
    • Clarkson Presidential Scholar
  • 2017
    • Best Oral Presentation for Software Engineering - Clarkson RAPS
    • Clarkson Presidential Scholar
  • 2016
    • Clarkson Presidential Scholar
  • 2015
    • Clarkson Presidential Scholar

Teaching

  • 2020 - 2024

    Rome, NY

    Instructor
    Griffiss Institute
    • Taught and co-designed the introduction to CyberSecurity Summer Camp for advanced high school students
  • 2018 - 2021

    Potsdam, NY

    Graduate Teaching Assistant
    Clarkson University
    • Electrical Science (ES 250)
    • Introduction to Digital Design (EE 264)
    • Electrical and Computer Engineering Sophomore Lab (EE 211)
  • 2016 - 2028

    Potsdam, NY

    Undergraduate Teaching Assistant
    Clarkson University
    • Software System Architecture (EE 462)
    • Differential Equations (MA 232)

Professional Services

  • Conference Reviewer: AISTATS (2025), NeurIPS (2024), IJCB (2024), ICPR (2024), MOST (2023, 2024), PMAM (2022, 2023), ICANN (2021), IISWC (2020), BTAS (2019), ISPA (2018)

Skills

  • Programming Languages: Python, C/C++, Java, Javascript, Bash, MATLAB, VHDL
  • Frameworks: TensorFlow, Pytorch, Numpy, Scipy, Matplotlib, Plotly, Pandas, Jax
  • Tools: Vim, Git, Linux, Docker, LaTeX
  • Audio: Over a decade of exeperience as a FOH engineer including theater productions and worship services