CV
Education
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2025 Postdam, NY
Ph.D. in Electrical and Computer Engineering
M.Sc. in Electrical and Computer EngineeringClarkson University - Advised by Chen Liu
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2018 Postdam, NY
B.Sc. in Computer Engineering
Minors in Mathematics and Computer ScienceClarkson University
Experience
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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
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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
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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
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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
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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
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2024 - Now AdjointDEIS
- Efficient algorithms for backpropagation in diffusion models for guided generation and related tasks
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2024 Diffusion Morphs (DiM)
- Developed a family of SOTA face morphing algorithms using diffusion models
Research Funding
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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
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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
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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
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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
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2024 - IJCB Doctoral Consortium
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2018 - Clarkson Presidential Scholar
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2017 - Best Oral Presentation for Software Engineering - Clarkson RAPS
- Clarkson Presidential Scholar
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2016 - Clarkson Presidential Scholar
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2015 - Clarkson Presidential Scholar
Teaching
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2020 - 2024 Rome, NY
Instructor
Griffiss Institute - Taught and co-designed the introduction to CyberSecurity Summer Camp for advanced high school students
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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)
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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