California State University Sacramento - Communication Studies
Assistant Professor at The University of Texas at Arlington
Higher Education
Cesar
Torres
Arlington, Texas
Programming: Javascript, Ruby, Python, Java, MATLAB, C, C++, C#, WPF ||
Web Development: Full-stack development, Ruby on Rails ||
Creative Computing: Processing, OpenCV, OpenFrameworks, Flash, MAX/MSP/Jitter
Research Assistant
Web applications - Developed web applications to facilitate data-driven web design and search.
Data mining - Extracted over 1700 features from design blocks in Webzeitgeist, a web design database of 1.6 million web design elements. Prepared features for machine learning applications and created a crowdsourcing interface for collecting semantic labels through oDesk.
Residential Computing Consultant
Local Network Adminstrator (LNA), technology consultant, computer resource management
PhD Research Intern
Research intern in the Creative Technologies Lab.
PhD Candidate
Cesar worked at University of California, Berkeley as a PhD Candidate
Assistant Professor
CSE Department
Summer Lecturer
Cesar worked at UC Berkeley Electrical Engineering & Computer Sciences (EECS) as a Summer Lecturer
BA + BS
Art Practice, Computer Science
Research Assistant
Web applications - Developed web applications to facilitate data-driven web design and search.
Data mining - Extracted over 1700 features from design blocks in Webzeitgeist, a web design database of 1.6 million web design elements. Prepared features for machine learning applications and created a crowdsourcing interface for collecting semantic labels through oDesk.
Residential Computing Consultant
Local Network Adminstrator (LNA), technology consultant, computer resource management
Graduate student
Computer Science
Graduate Student Researcher
Working on exciting new research in digital fabrication technologies and drones!
Head Graduate Student Instructor
Head TA for Berkeley's Intro to User Interface Design / Human-Computer Interaction class of 200 students.
PhD Candidate
Proceedings of the 2013 ACM annual conference on Human factors in computing systems
Advances in data mining and knowledge discovery have transformed the way Web sites are designed. However, while visual presentation is an intrinsic part of the Web, traditional data mining techniques ignore render-time page structures and their attributes. This paper introduces design mining for the Web: using knowledge discovery techniques to understand design demographics, automate design curation, and support data-driven design tools. This idea is manifest in Webzeitgeist, a platform for large-scale design mining comprising a repository of over 100,000 Web pages and 100 million design elements. This paper describes the principles driving design mining, the implementation of the Webzeitgeist architecture, and the new class of data-driven design applications it enables.
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