About Me
I am a final year PhD student in the Department of Computer Science and Engineering at Ohio State University working in the Computer Vision Laboratory under Prof. Jim Davis.
My dissertation specifically focuses on the student learning process in knowledge distillation. Additionally, my research interests include data-scarcity, generalization & robustness, and confidence calibration in deep learning for vision-related tasks.
Currently I work as a Graduate Teaching Associate for the CSE2221 Software Components 1 course. Previously I have been funded by the Air Force Research Laboratory Sensors Directorate (RYAT). At the beginning of my PhD I collaborated with the Department of Food, Agriculture, and Biological Engineering at Ohio State.
Current Positions
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PhD Student
Advisor: Prof. Jim Davis
Dissertation: Knowledge Distillation -
CV Research Intern
Returning summer intern in the AI & CV group at GE Aerospace
News
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11/2024:
1 paper, "What Makes a Good Dataset for Knowledge Distillation?", uploaded to arXiv -
10/2024:
Gave an invited talk on "Data-Free Knowledge Distillation Using Adversarially Perturbed OpenGL Shader Images" to Clairfai -
10/2024:
This upcoming summer I will be returning as a CV Research Intern with GE Aerospace under Dr. Paul Ardis -
05/2024:
This summer I will be working as a CV Research Intern with GE Aerospace under Dr. Paul Ardis -
10/2023:
1 paper, "Data-Free Knowledge Distillation Using Adversarially Perturbed OpenGL Shader Images", uploaded to arXiv -
05/2023:
This summer I will be interning with the Air Force Research Laboratory under Dr. Christopher Liberatore -
07/2022:
1 paper, "Revisiting Batch Norm Initialization", accepted to ECCV 2022 -
10/2021:
1 paper, "Revisiting Batch Norm Initialization", uploaded to arXiv -
09/2020:
I passed my qualification exams! -
08/2020:
1 paper, "Confidence-Driven Hierarchical Classification of Cultivated Plant Stresses", accepted to WACV 2021