Austin Lovell

Bio

I'm a Computer Science M.S. student at Purdue University with an interest in machine learning, computer vision, high-performance computing, and software engineering. I graduated with a Bachelor's in Computer Science from Purdue University in December 2024.

Experience

• Pacific Northwest National Laboratory — Richland, WA
  Software Engineering Intern (May 2025 - Aug 2025)
• Summer Undergraduate Research Fellowship — Purdue University
  Research Fellowship (May 2024 - Aug 2024)
• Indigo BioAutomation — Carmel, IN
  Software Engineering Intern (May 2023 - Aug 2023)
• Matrix Design Group — Newburgh, IN
  Software Engineering Intern (May 2022 - Aug 2022)
• Undergraduate Teaching Assistant — Purdue University
  Teaching Assistant (Aug 2023 - May 2024)

Research

Undergraduate Research — Purdue University
Researcher (Sep 2023 - May 2025)

Researched and implemented computer vision methods using PyTorch to track human facial movements during speech for improved diagnosis of sensorimotor issues. Achieved sub 1 millimeter error tracking accuracy with novel methods. Advised by Prof. Raymond Yeh and Prof. Kwang S. Kim at Purdue University. First authored a paper with results from this research, which is currently under review for submission to IEEE Transactions on Neural Systems & Rehabilitation Engineering.

Publications

• 3D markerless tracking of speech movements with submillimeter accuracy
  Austin Lovell, [Coauthors]. Preprint [Preprint]
• A Hierarchical Deep Learning Approach for Predicting Job Queue Times in HPC Systems
  Austin Lovell, [Coauthors]. SC24 [Paper] [Slides]

Honors and Awards

• Purdue University: Department of Computer Science Kunze Scholarship award winner (2024)
• Purdue University: Selected for Summer Undergraduate Research Fellowship (2024)
• Purdue University: Department of Computer Science "Outstanding Freshman" award winner (2021-2022)