Our research was represented prominently at the CSE Research Open House, held on January 31, 2020. The open house provides an opportunity for industry, alumni, and broader UCSD community to get a view of the research going on in our department. It consisted of research talks in the morning, demos in the afternoon, a research poster session, and awards ceremony.
Engineers for Exploration (E4E) described their latest and greatest technologies during the sustainable computing session in the morning and showed off demos in the afternoon. The featured E4E projects included our project to document Maya archaeology sites where we use state of the art imaging sensors to create large scale 3D models of archaeological site. This is then viewable in virtual reality. Another featured project is mangrove monitoring which uses drones, multispectral image sensors, machine learning for automated ecosystem classification, and other new technologies to document and understand these fragile and important ecosystems. The radio collar tracker was the final presented project. The goal is to track animals equipped with radio transmitters using drones and software defined radio. Here’s the presentation if you want more detail on these projects and the E4E program.
Michael Barrow was awarded the best poster for his research on “Data Driven Tissue Models for Surgical Image Guidance“. Michael leads this multidisciplinary project that spans across the Jacobs School of Engineering and the School of Medicine. The goal is to develop more accurate modeling and visualization of tumors, blood vessels, and other important landmarks to provide surgeons real-time feedback during the operation.
Finally, our close collaborator Tim Sherwood was honored with a CSE Distinguished Alumni awards. We have been working with Tim for almost two decades (pretty much since the time he graduated from UCSD) Our research includes a number of fundamental projects in hardware security including some of the initial work in FPGA security, 3D integrated circuit security, hardware information flow tracking, and computational blinking.