Guoyu Lu Headshot

Guoyu Lu

Assistant Professor

Chester F. Carlson Center for Imaging Science
College of Science

Office Mailing Address
54 Lomb Memorial Dr., NY, 14623

Guoyu Lu

Assistant Professor

Chester F. Carlson Center for Imaging Science
College of Science

Education

BE, Nanjing University of P&T (China); MS, University of Trento (Italy); MS, RWTH Aachen University (Germany); MS, Ph.D., University of Delaware

Bio

Dr. Guoyu Lu is an Assistant Professor at the RIT Chester F. Carlson Center for Imaging Science. Before joining RIT, he was a research scientist on autonomous driving at Ford Research and a computer vision engineer at ESPN Advanced Technology Group. Dr. Lu finished his Ph.D. and MS in Computer Science at the University of Delaware (UD).

Before attending UD, Dr. Lu was in European Master in Informatics (EuMI) Erasmus Mundus program. He obtained a Master's degree in Computer Science at the University of Trento and a Master's degree in Media Informatics at RWTH Aachen University. Dr. Lu also finished an academic visit to Auckland University of Technology in 2012 and was a research intern at Siemens Corporate Research in Princeton and Bosch Research in Palo Alto. Dr. Lu finished his Bachelor's degree in Software Engineering at Nanjing University of Posts and Telecommunications, with a minor in Business Administration and Management. Dr. Lu has broad research interests spreading across computer vision, machine/deep learning, multimedia, and robotics.


Personal Links
Areas of Expertise

Currently Teaching

IMGS-513
3 Credits
This course surveys multi-wavelength astronomical observing techniques and instrumentation. Students will study the requirements, strengths, and limitations of telescopes, detectors, and instrumentation at major ground-based and space-based observatories spanning the electromagnetic spectrum from radio to X-rays; learn how these facilities function; and gain an understanding of how to process and analyze the data they generate. Examples of facilities to be scrutinized include the largest ground-based observatories (e.g., Keck, Gemini, and the VLT); radio interferometers (e.g., the Very Large Array and the Atacama Large (sub)Millimeter Array); optical/IR space telescopes (e.g., the Spitzer, Hubble, and James Webb Space Telescopes); and X-ray space telescopes (e.g., Chandra and XMM-Newton). Students will plan and carry out a project involving archival multi-wavelength imaging data on a topic of their choice.
IMGS-712
3 Credits
Images are 2D projections gathered from scenes by perspective projection. By making use of multiple images it is possible to construct 3D models of the scene geometry and of objects in the scene. The ability to derive representations of 3D scenes from 2D observations is a fundamental requirement for applications in robotics, intelligence, medicine and computer graphics. This course develops the mathematical and computational approaches to modeling of 3D scenes from multiple 2D views. After completion of this course students are prepared to use the techniques in independent research.
IMGS-789
1 - 3 Credits
This is a graduate-level course on a topic that is not part of the formal curriculum. This course is structured as an ordinary course and has specific prerequisites, contact hours, and examination procedures.
IMGS-790
1 - 6 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-890
1 - 6 Credits
Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.

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