Gabriel Diaz Headshot

Gabriel Diaz

Associate Professor

Chester F. Carlson Center for Imaging Science
College of Science
gabriel.diaz@rit.edu
585-475-6215

Gabriel Diaz

Associate Professor

Chester F. Carlson Center for Imaging Science
College of Science

Education

BFA, Skidmore College; MS, Ph.D., Rensselaer Polytechnic Institute

Bio

Dr. Diaz studies eye tracking hardware and algorithms and the role of eye movements in the visual guidance of action. 

How can we build the next generation mobile eye tracker that is accurate, precise, and low power?

How do vision, prediction, and anticipation guide action? Investigation involves the controlled study of visually guided behaviors using virtual reality, eye-tracking, and motion capture.

 

gabriel.diaz@rit.edu
585-475-6215
Personal Links
Personal Website
Curriculum Vitae
Google Scholar

Currently Teaching

IMGS-211
Probability and Statistics for Imaging
3 Credits
This course introduces the principles of probability and statistics that are used in imaging science. The first half of the course covers probability distributions for discrete and continuous random variables, expectation, variance, and joint distributions. The second half of the course will consider point estimation, statistical intervals, hypothesis testing, inference, and linear regression.
IMGS-221
Vision & Psychophysics
3 Credits
This course presents an overview of the organization and function of the human visual system and some of the psychophysical techniques used to study visual perception.
IMGS-599
Imaging Science Independent Study
1 - 4 Credits
This course is a faculty-directed tutorial of appropriate topics that are not part of the formal curriculum. The level of study is appropriate for student in any of their years of study.
IMGS-620
The Human Visual System
2 Credits
This course describes the underlying structure of the human visual system, the performance of those structures and the system as a whole, and introduces psychophysical techniques used to measure them. The visual system's optical neural systems responsible for collecting and detecting spatial, temporal, and spectral signals from the environment are described. The sources and extent of limitations in the subsystems are described and discussed in terms of the "enabling limitations" that allow practical imaging systems.
IMGS-699
Imaging Science Graduate Co-op
0 Credits
This course is a cooperative education experience for graduate imaging science students.
IMGS-790
Research & Thesis
1 - 6 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-799
Imaging Science Independent Study
1 - 4 Credits
This course is a faculty-directed tutorial of appropriate topics that are not part of the formal curriculum. The level of study is appropriate for student in their graduate studies.
IMGS-890
Research & Thesis
1 - 6 Credits
Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-891
Continuation of Thesis
0 Credits
Continuation of Thesis

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