CV
Education
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2024 -
2018 B.Sc. in Computer Enginnering
Clarkson University, Postdam NY, USA
Experience
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2018 - 2024 Research Assistant
Clarkson University, Potsdam NY, USA Electrical and Computer Engineering - 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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2015 - 2018 Undergraduate Research Assistant
Clarkson University, Potsdam NY, USA 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 Engineering Intern
Griffiss Institute, Rome NY, USA - Generated meta-statistics for several machine learning datasets
- Designed android application to display data from a backend server
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Summer 2014 Engineering Intern
University of New Hampshire, Durham NH, USA 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
Awards and Honors
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2024 - IJCB Docotral Consortium
Teaching
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2023 - 2024 Instructor
- CyberSecurity Camp, Griffiss Institute
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2021 - 2022 Teaching Assistant
- CyberSecurity Camp, Griffiss Institute
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2021 Teaching Assistant
- Electrical Science, Clarkson University
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2018 - 2019 Teaching Assistant
- Introduction to Digital Design, Clarkson University
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2019 Teaching Assistant
- ECE Sophomore Lab, Clarkson University
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2017 - 2018 Teaching Assistant
- Software System Architecture, Clarkson University
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2016 Teaching Assistant
- Differential Equations, Clarkson University
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, National Science Foundation
- 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, National Science Foundation
- 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, National Science Foundation
- 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, National Science Foundation
- Amount: 60,000 (USD)
- Role: Student Investigator
Professional Services
- Journal Reviewer: Future Generation Computer Systems, IEEE Access
- Conference Reviewer: AISTATS (2025), ICLR (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, Assembly
- 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
Academic Interests
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Generative Models
- Bespoke ODE/SDE solvers
- Stochastic calculus
- Latent representations
- Latent editing
- Autoencoding for generative models
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Biometrics
- Face morphing
- Adversarial attacks
- Deepfakes