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Yeh, Tom

Associate Professor

Positions

Research Areas research areas

Research

research overview

  • I lead the Sikuli Lab where I educate a team of talented students to conduct cutting-edge research to make computers see better and interact with humans more naturally. One example is Sikuli Script, a GUI automation tool based on screenshots. Since its release as open-source software in 2010, it has been downloaded more than 200,000 times and used by a large community of users for a variety of purposes such as testing, IT automation, scraping, data transfer, and gaming.

keywords

  • human-centered computing, visual interfaces, end-user programming, big data

Publications

selected publications

Teaching

courses taught

  • BMEN 6519 - Special Topics in Biomedical Engineering
    Primary Instructor - Spring 2024
    Credit hours and subject matter to be arranged. May be repeated up to 12 total credit hours.
  • CSCA 5112 - Introduction to Generative AI
    Primary Instructor - Fall 2023 / Spring 2024 / Summer 2024 / Fall 2024
    Students will learn about several topics related to Generative AI, including deep learning and machine learning algorithms that enable machines to generate text, images, and music. Additionally, they will also learn about the diffusion model and transformer model, which are important techniques used in Generative AI. The course will guide students on how to apply these techniques to design and build their own generative models and apply those models to new problems.
  • CSCA 5222 - Introduction to Computer Vision
    Primary Instructor - Summer 2024 / Fall 2024
    This course guides students through the essential algorithms and methods to help computers 'see' and interpret visual data. Students learn the core concepts and techniques that have been traditionally used to analyze images. Then, students learn modern deep learning methods, such as neural networks and specific models designed for image recognition, can be used to perform more complex tasks like object detection and image segmentation. Additionally, students will learn the creation and impact of AI-generated images and videos, exploring the ethical considerations of such technology. Same as DTSA 5512.
  • CSCI 1300 - Computer Science 1: Starting Computing
    Primary Instructor - Fall 2021 / Spring 2022 / Fall 2022
    Teaches techniques for writing computer programs in higher level programming languages to solve problems of interest in a range of application domains. Appropriate for students with little to no experience in computing or programming. Degree credit not granted for this course and ECEN 1310. Same as CSPB 1300.
  • CSCI 3002 - Fundamentals of Human Computer Interaction
    Primary Instructor - Spring 2018 / Spring 2019 / Spring 2021 / Summer 2024
    Introduces the practice and research of human-computer interaction, including its history, theories, the techniques of user-centered design, and the development of interactive technologies. Covers computing in society at large with respect to domains such as health, education, assistive technology, ethics, environment, and more.
  • CSCI 4722 - Computer Vision
    Primary Instructor - Spring 2023 / Spring 2024
    Explores algorithms that can extract information about the world from images or sequences of images. Topics covered include: imaging models and camera calibration, early vision (filters, edges, texture, stereo, optical flow), mid-level vision (segmentation, tracking), vision-based control and object recognition. Recommended prerequisite: CSCI 3022 or APPM 3570 or STAT 4520 or STAT 4000 or CHEN 3010 or CVEN 3227 or MATH 3510 or MATH 4510 or ECEN 3810 or ECON 3818. Same as CSCI 5722.
  • CSCI 5722 - Computer Vision
    Primary Instructor - Spring 2023 / Fall 2023 / Spring 2024 / Fall 2024
    Explores algorithms that can extract information about the world from images or sequences of images. Topics covered include: imaging models and camera calibration, early vision (filters, edges, texture, stereo, optical flow), mid-level vision (segmentation, tracking), vision-based control and object recognition. Recommended prerequisite: probability, multivariate calculus and linear algebra. Same as CSCI 4722.
  • CSCI 5919 - HCC Survey and Synthesis: Foundations and Trajectories
    Primary Instructor - Spring 2020
    Examines the interdisciplinary field of human-centered computing through a comprehensive content and historical survey. Considers new trajectories of inquiry and how the field merges with others. Social computing, is emphasized as a central topic. Students across disciplines will find the course foundational for understanding human-centered technology matters, including computer scientists, information scientists, social scientists, and business and media arts students. Same as INFO 5919.
  • CSCI 5929 - HCC Survey and Synthesis: New Disciplinary Directions
    Primary Instructor - Fall 2023
    Studies recent advances in human-computer interaction through critical analysis of influential papers and self-guided research. Examines new paradigms in input, output, and visualization for technology design and interaction. Considers innovative methods to assess various population design and technological needs. Studies in computer-related fields, social science, business, media arts and communications benefit learning about human-centered computing research. Recommended prerequisite: CSCI 5919.
  • CSCI 6950 - Master's Thesis
    Primary Instructor - Fall 2024
  • CSCI 7000 - Current Topics in Computer Science
    Primary Instructor - Spring 2020 / Spring 2023
    Covers research topics of current interest in computer science that do not fall into a standard subarea. May be repeated up to 18 total credit hours.

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