CV

Ph.D. in Electrical and Computer Engineering

• Advised by Chen Liu

M.Sc. in Electrical and Computer Engineering

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

Graduate Research Assistant

• 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

Undergraduate Research Assistant

• Developed machine learning algorithms for the detection of malware using hardware information
• Studied the theory of semi-supervised anomaly detection problems

Engineering Intern

• Generated meta-statistics for several machine learning datasets
• Designed android application to display data from a backend server

Engineering Intern

• Designed a custom Linux image for embedded systems using the Yocto Project
• Created a web application capable of monitoring and maintaining server processes

AdjointDEIS: Efficient Gradients for Diffusion Models

Diffusion Morphs (DiM): Diffusion is all you need for highly effective face morphs

Diffusion Morphs (DiM): Leveraging Diffusion for Strong and High-Quality Face Morphing Attacks

Diffusion Morphs (DiM): The Power of Iterative Generative Models for Attacking FR Systems

Diffusion for the Generation of Face Morphs

Face Morph Generation and Attack Detection

Morph Attack Detection and Mitigation Projects

AdjointDEIS

• Efficient algorithms for backpropagation in diffusion models for guided generation and related tasks

Diffusion Morphs (DiM)

• Developed a family of SOTA face morphing algorithms using diffusion models

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

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

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

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

• IJCB Doctoral Consortium

• Clarkson Presidential Scholar

• Best Oral Presentation for Software Engineering - Clarkson RAPS
• Clarkson Presidential Scholar

• Clarkson Presidential Scholar

• Clarkson Presidential Scholar

Instructor

• Taught and co-designed the introduction to CyberSecurity Summer Camp for advanced high school students

Graduate Teaching Assistant

• Electrical Science (ES 250)
• Introduction to Digital Design (EE 264)
• Electrical and Computer Engineering Sophomore Lab (EE 211)

Undergraduate Teaching Assistant

• Software System Architecture (EE 462)
• Differential Equations (MA 232)