Portrait of

Ryan Meuth

Associate Teaching Professor, ENGR Academic & Student Affrs

Ryan Meuth has been teaching at Arizona State University in the Fulton Schools of Engineering since 2013, with a focusing on Freshman Engineering and the first year experience. Since then, he has additionally served as the course coordinator for the CSE Capstone Program, ASU101-CSE, and FSE100-CSE. Meuth currently serves as a member of the First Year Programming teaching team that develops and supervises all sections and modalities of CSE110 - Principles of Programming and CSE205 - Object Oriented Programming and Data structures.  

Meuth was awarded the Top 5% Teaching Award in 2014, 2015, 2016, and 2020 as well as the Spirit of EPICS award in Spring 2015.

Meuth's research interests are focused on the computer science classroom experience, and how this can be improved for all students.

 

ASU Search

Ready to mentor

Research Themes:

DataEducation

Programs:

FURI

I am interested in artificial intelligence, robotics, and computer science education-focused research topics.

Fall 2024

Jun Song

Computer science

Building YMS (Yard Management System) using Machine Learning and Optical Character Recognition Technology

Automating yard management with AI improves efficiency but raises concerns about job displacement in logistics.

Program: FURI

Summer 2024

Jun Song

Computer science

Building YMS (Yard Management System) using Machine Learning and Optical Character Recognition Technology

Automating yard management with machine learning and optical character recognition reduces gate congestion, improves efficiency and enhances logistics tracking.

Program: FURI

Spring 2022

Joshua Pardhe

Computer systems engineering

Creative Frameworks: Leveraging Deep Learning and Data Analysis to Create Accessible Artistic Technologies

Using generative adversarial networks to create images and videos will allow users of all abilities to showcase their creativity and talent.

Program: FURI

Kang Yi Lim

Computer systems engineering

Creative Frameworks: Leveraging Deep Learning and Data Analysis to Create Accessible Artistic Technologies

Creative expression will be enhanced and made more accessible by using auditory analysis and simple light controls to generate performances.

Program: FURI

Sameer Reza

Computer science

Simulating Scarcity in Virtual Reality

Exploring the viability of poverty simulations in virtual reality will help make simulations cheaper, more flexible and farther reaching.

Program: FURI

Spring 2020

Hayden Brandt

Engineering (electrical systems)

Underwater Robotics

Building an underwater autonomous robot helps improve students' design skills and create industry connections through competitions.

Program: KEEN

Spring 2019

Pratik Panda

Computer science

NASA Space Grant Robotics

Creating deep-sea robots will help us explore vast regions of our planet unexplorable by humans.

Program: KEEN

Alex Bertram

Electrical engineering

NASA Space Grant Robotics

Designing and building a remotely operated vehicle to compete in underwater ROV competitions will help prototype and test innovative undersea technologies cheaply and efficiently.

Program: KEEN

Spring 2018

Alex Bertram

Electrical engineering

NASA Space Grant Robotics

Program: KEEN

Dhruv Rajani

Computer science

Swachh-X: Sustainable Recycling Sorter

Program: KEEN