Rich Nguyen | Home - Computer Science

News Feed 07/2024 - Patent Filed: System and Method for Validating Crowdsourced Flood Images (PCT/US24/37704). 06/2024 - Visiting Professor: Gave a keynote at the Universite Cote d'Azur, France as a visiting professor. 04/2024 - Hackathon Advising: Another successful year of HooHacks which I am so proud to be their faculty advisor. 03/2024 - Research Highlight: Collab with Prof. Glen Bull on the CAD Library to provide teachers with Open-source design. 01/2024 - Project Spotlight: Interviewed by the UVA Office of Vice President for Research about the TuneScope project. 12/2023 - Report Highlight: Our work on Floodwatch is highlighted in a report of the US and ASEAN Smart Cities Partnership. 10/2023 - Journal Publication Congrats to Joy Qiu for getting our "master-piece" article published on Clinical Infectious Diseases. 08/2023 - Workshop Conducted: Conducted a workshop for students on application of LoRaWAN in Flood Prediction. 05/2023 - Student Highlight: Research students Louisa Edwards and Zach Boner invited to the Ken Ono Podcast. 04/2023 - Project Highlight: Our project on using AI to spot early sepsis got a splotlight in the UVA Today. 04/2023 - News Coverage: My research students speaks with 29NEWS about their project. 12/2022 - Best Paper Award: My team submission received the outstanding paper award at IEEE BigDataSE. More News... 12/2022 - Research Highlight: UVA Engineering highlight my work with Floodwatch 12/2022 - Symposium Organization: Collab with 2 universities to organize a Symposium on Smart Cities for ASEAN. 08/2022 - Join NSF SCC: Take part of the Smart and Connected Communities virtual organization by the NSF. 04/2022 - Best Poster Award: My team submission received the best poster award at 2022 SITE Confererence. 08/2021 - New Course: Pilot a new course this Fall: CS 2501 Machine Learning for All. Check it out! 07/2021 - NSF Grant PI: Excited to start on another NSF grant on Fast Decision Support and Response with Tho Nguyen. 05/2021 - Contest Sponsor: Served as faculty sponsor for the Highschool Programming Contest. 05/2021 - Student Won Award: My star student Mike Ferguson won the 2021 CS Louis T. Rader Undergraduate Teaching Award. 04/2021 - Grant funded: Glen Bull, Luke Dalh, and me are the trio of a 3 Cavaliers Grant on Coding and Music. 03/2021 - NSF Grant co-PI: I'm honored to be added as a co-PI for this exciting NSF grant on Computational Thinking 02/2021 - Online Course Taught: Taught the Deep Learning to professionals and executives with Prof. Nada Basit. 12/2020 - Book Published: Check out a new book I co-author: Creating Arts, Animation, and Music through Coding! 08/2020 - New Course: Pilot a new course this Fall: SYS 6016 Deep Learning for School of Data Science. 06/2020 - Beta Release: TuneScope: creating digital music using the joint capabilities of SoundScope and Snaps! 05/2020 - Grant Funded: Determining predictive models of bloodstream infection by using big data and deep learning. 03/2020 - Bird-of-a-Feature Workshop: Toward an Open-source Toolkit for Machine Learning Education. SIGCSE'20 Online 08/2019 - Award Recieved: Google Faculty Awards for Machine Learning Education with TensorFlow 07/2019 - Beta Released: Make To Learn: SoundScope 10/2018 - Poster Presented: CodeNC: Integrating Computational Thinking into K-12 Instructional Activities 08/2018 - Joined UVA: As an assistant professor of computer science, academic general faculty 03/2018 - Grant Funded: CCI Faculty Innovation Award: CodeNC About Me

I strive to be an engaging, adaptable, and enthusiastic teacher who cares deeply about improving the quality of an inclusive culture in higher learning. In August 2018, I joined the Computer Science Department at the Univeristy of Virginia as an Assistant Professor, Academic General Faculty on a teaching track. Before that, I've taught computer science courses at UNC Charlotte over 4 years to a total of 1,458 students. Upon reflection on my teaching, I recognize one of my greatest strengths lies in my ability to connect and inspire students. By sharing my passion for learning and serving others, I strive to make learning an engaging and inspiring experience for students.

My research interests include biomedical image analysis, machine learning, and computer science education. My goal is to reinvent instructional activities as adaptive and engaging by incorporating art and music elements to help everyone to learn coding. In the upcoming years, I intend to extend the foundation on which my past and current research contributions have laid to explore new aspects of machine learning in education.

I am able to communicate effectively with people from all walks of life because I appreciate, embrace, and support diversity. I want to advocate for underrepresented groups to prepare students to uphold the ethical principles of a thriving and inclusive society.