We are working with collaborators and students to propel virtual reality and augmented reality into multiple areas of mainstream use. If you would like more information, or are interested in working with us, please email ngsmith@ucsd.edu.
Immersive Visualization Center
Atkinson Hall
9500 Gilman Drive #0436
La Jolla, CA 92093-0436
The Immersive Visualization Center at the Qualcomm Institute is located in Atkinson Hall on the UC San Diego main campus.
Dr. Jurgen Schulze is an Associate Research Scientist at UCSD’s Qualcomm Institute, and an Associate Adjunct Professor in the computer
science department, where he teaches computer graphics and virtual reality. His research interests include applications for virtual and augmented reality systems, 3D human-computer interaction, and medical data visualization. He holds an M.S. degree from the University of Massachusetts and a Ph.D. from the University of Stuttgart, Germany. After his graduation he spent two years as a post-doctoral researcher in the Computer Science Department at Brown University working on real-time volume rendering in virtual reality.
Virtual reality is a great tool for education. At IVC, we’re using VR to help hospital patients better understand conditions impacting their health, and to bring threatened cultural sites around the globe to public universities.
Our augmented reality technology offers anyone the power to visualize large, multidimensional datasets in 3D. Users can interact with and manipulate datasets through hand gestures or a 3D controller.
We invite researchers to share fresh, innovative ideas to support the IVC’s mission to improve artificial intelligence and virtual and augmented reality technologies. Our goal is to create a space and provide the resources for you to develop new and exciting tools for research across the board.
At IVC, we’re partnering with the Stanford Research Institute to increase the accuracy of artificial intelligence for use in public platforms and military and national defense.
We’re using virtual reality to transform hospital patients’ MRI/CT scans into interactive, 3D models to improve surgical outcomes and give patients a deeper understanding of their body and condition.