Guoyu Lu Headshot

Guoyu Lu

Assistant Professor

Chester F. Carlson Center for Imaging Science
College of Science

585-475-6518
Office Location
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

<figure class="table"><table><tbody><tr><td><strong>Biography</strong></td></tr><tr><td><p>I am an Assistant Professor at the Chester F. Carlson Center for Imaging Science of Rochester Institute of Technology (RIT). Prior to joining RIT, I was a research scientist on autonomous driving at Ford Research and computer vision engineer at ESPN Advanced Technology Group. I finished my PhD and MS in Computer Science at the University of Delaware. Before coming to UD, I was in European Master in Informatics (EuMI) Erasmus Mundus program. I obtained Master degree in Computer Science at University of Trento and Master degree in Media Informatics at RWTH Aachen University. I also finished an academic visiting in Auckland University of Technology in 2012. I was a research intern at Siemens Corporate Research in Princeton and Bosch Research in Palo Alto. I finished my Bachelor degree in Software Engineering at Nanjing University of Posts &amp; Telecommunications, with a minor in Business Administration and Management.</p><p>I have board research interests spreading across computer vision, machine/deep learning, multimedia, and robotics.</p></td></tr></tbody></table></figure>

585-475-6518

Personal Links
Areas of Expertise

Currently Teaching

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.
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.