Devin Ketchum

I’m a lecturer in the Engineering and Computer Science departments at Cal Poly Humboldt. As a multidisciplinary engineer and proud Lenape, two-spirit professional, I bring a blend of technical expertise and human-centered design to my teaching. Family grounds me; I’m lucky to share life with a supportive partner and two wonderful kids who keep me inspired, curious, and creative.

Lecturer

August 2024 - Current

Cal Poly Humboldt

• Teach classes in the Engineering & Computer Science Departments

February 2024 - April 2024

Humbuilt Homes

• Researched local laws and ordinances associated with each project.
• Designed and 3D modeled multiple projects.
• Constructed projects to test models and take notes on design changes that needed to be made.
• Projects included a 220-gallon rain catchment system and the beginnings of a composting outhouse.

May 2023 - December 2023

Cal Poly Humboldt

• Researched, ordered, assembled, and tested machinery necessary for an Engineering Department Makerspace.
• Created safety and PPE signs for every machine.
• Created multiple safety documents for each piece of machinery.
• Managed student workers.
• Maintained consumable materials and budget for said consumables.
• Assisted with engineering classes that were held in the spaces. This included teaching safety procedures for each machine.

December 2022 - April 2023

Virginia Tech

• Work closely with OID personnel and CCC directors to maintain and build the respective websites
• Encourage and implement Accessibility Standards for the OID and CCC websites
• One-on-one support for OID & CCC personnel with technology need
• Video and photograph editing via Adobe Creative Cloud applications
• Data input and maintenance of the FWCA (Faculty Women of Color in the Academy) Conference mobile and desktop application
• Manage multiple projects concurrently in progress

June 2020 – December 2022

Virginia Tech - Office for Inclusion and Diversity - Data and Technology Team

• Work closely with OID personnel and CCC directors to maintain and build the respective websites
• Encourage and implement Accessibility Standards for the OID and CCC websites
• One-on-one support for OID & CCC personnel with technology needs

January 2017 – October 2020

Virginia Tech - College of Engineering - Instructional Technology

• Maintain and build websites for the COE
• Conduct bench testing for new technologies considered
• Build and maintain AV systems
• Keep tutorials up-to-date for all supported software
• Conduct one-on-one sessions for faculty members needing assistance with classroom software tools
• Customer support for incoming freshmen and parents

May 2012 – December 2015

Enviro Systems Inc., Seminole, OK (Aerospace Industry)

• Using troubleshooting skills and creativity to ensure more efficient repair processes by implementing machinery, equipment, and computer technologies
• Design, prototyping, and fabrication of repair process tools
• Perform data analysis on the reliability of parts for internal and external use
• Develop and implement Product Support APS and Work Instructions Lead training sessions for technicians on updated or new APS and Work Instructions
• Perform root cause analysis of failures using engineering methods resulting in recommended changes in designs, tolerances, and processing methods
• Provide technical expertise and support for customers
• Involved in FAA certification processes

Master of Science in Computer Engineering, December 2019

Virginia Polytechnic Institute and State University, Blacksburg, VA

• “The Use of the CAfFEINE Framework in a Step-by-Step Assembly Guide” - The purpose of this research is to explore using affect as an implicit feedback channel so that such mistakes would be easily corrected in real time. The CAfFEINE Framework, is a context-aware affective feedback loop in an intelligent environment. For this research, the focus will be on analyzing a user’s physiological response to the service provided by an intelligent environment. To test this feedback loop, an experiment was constructed using an on-screen UI, step-by-step assembly guide for a Tangram puzzle. To categorize the user’s response to the experiment, baseline readings were gathered for a user’s stressed and non-stressed state. The Paced Stroop Test and two other baseline tests were conducted to gather these two states. The data gathered in the baseline tests was then used to train a support vector machine to predict the user’s response to the Tangram experiment. 
• Keywords: Affective Computing, Intelligent Environments, Context-Aware
• Used Matlab to interact with multiple connected devices including a smart-watch
• Created C++ algorithms to preprocess data

Oklahoma State University, Stillwater, OK