UCSD Splash 2019

ESP Biography

PAMELA COSMAN, Professor of Electrical and Computer Engineering

Major: ECE

College/Employer: UCSD

Year of Graduation: Not available.

Picture of Pamela Cosman

Brief Biographical Sketch:

Pamela Cosman is a Professor of Electrical and Computer Engineering at UCSD, and previously was the Associate Dean for Students of the Jacobs School of Engineering. Her research is on wireless communications and digital image processing. Some of her projects involve restoring color in underwater images, measuring the visual importance of individual video packets, and using eye-tracking glasses to assess gaze behavior during social interactions. She is the Co-Director of the UC San Diego Center for Research on Gender in STEMM, and conducts social science research related to gender in engineering. Her first children's book "The Secret Code Menace" was published in 2016, and it teaches about error correction coding and other concepts in wireless communications through a fictional story.

Past Classes

  (Look at the class archive for more.)

Women in Science and Engineering in Splash Spring 2018
Social scientists have studied many facets of women's under-representation in science and engineering fields. This class will give a quick tour of some fascinating studies, including women in STEM in the U.S. versus outside of the U.S., different patterns of negotiating and time management between men and women, and gendered patterns of interruptions in conversation and in academic talks. Students will have a better understanding of the issues as well as some practical tools for thriving in STEM fields.

Image and Video Compression in Splash Spring 2016
Image and video compression algorithms rely on three core ideas: (a) some things are more common than others in images, (b) some things can be predicted from their neighbors, and (c) your eye doesn't see everything anyway. In this class, we'll introduce how algorithms like JPEG and MPEG use these ideas to compress images and video so that data rates are thousands of times smaller.