Jennifer "Ferby" Cremer

The Human:

I am a PhD candidate in Computer Science - Graphics and Visualization at the University of Florida. I work in SurfLab under the supervision of Dr.Jorg Peters. My work focuses on human perception of complex 3D data (specifically medical imagery) in virtual reality, to both enhance spatial reasoning about the given structures and provide fast yet accurate representations without specialized software training.

For this multi-disciplinary project Dr.Eric Ragan is the co-chair for my committee and key advisor for the user studies of the project.

I have also been a part of the Academy Software Foundation's (ASWF) D&I Working Group since 2020; particularly involved with the Summer Learning Program.

I spent the first few years of graduate school experimenting with teaching. I had the opportunity to teach undergraduate electives -- Design Patterns for Object-oriented Programming, Performant Programming in Python -- and work under the direction of Dr. Jeremiah Blanchard as the Lead TA for Operating Systems.

Since being awarded the Research in Robotic Technology Grant - Research Foundation of the ASCRS in the Summer of 2021, I was able to step back from teaching for a while to solely focus on my thesis project and get back into some of my rejuvenating hobbies like wildlife photography, painting, and go for adventures. Check out the Hobbies page to see more. I often reflect on the interfaces I encounter in my artistic activities when designing feature sets or communicating ideas to my advisors.

Publications


Google Scholar

[Doctoral Consortium]

Jennifer Cieliesz Cremer. Scan2Twin: Virtual Reality for Enhanced Anatomical Investigation. IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2024) Doctoral Consortium. (Link)

Interpreting 3D information from 2D slices of data points is a notoriously difficult process, especially in the medical field with its use of scan imaging. This dissertation aims to apply and assess the advantages of virtual reality (VR) for exploring volumetric visualization of medical images and enabling the efficient generation of explicit, unambiguous surface models. I will evaluate the effects of stereoscopic viewing on different methods of volumetric data visualizations, experiment with tool development to increase 3D modeling accessibility, and an expert review of the overall system design we refer to as Scan2Twin.

Research Resume:



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