Joe Del Rocco
Professor of Practice
Joe Del Rocco is passionate about teaching STEM curricula. He merges industry experience and relevant theory with inclusive research-backed teaching principles, in order to harness the intrinsic motivation of his students. Joe cofounded Cacti Council, a 501(c)(3) non-profit organization dedicated to computer science education and outreach.
- PhD candidate, Computer Science, University of Central Florida (expected May 2021)
- MS, Computer Science, University of Central Florida
- BS, Computer Science, University of Central Florida
- Introduction to Computing
- Computer Science I and II
- Computing History
- Programming Languages
- Game Development
- Mobile Computing
Areas of Expertise
- Industry software engineering
- Applied programming topics
- Teaching computer science
- Building performance simulation
Joe Del Rocco has over two decades of experience bouncing back and forth between industry and academia. He has worked as a software engineer for a variety of industries including: video games, power diagnostics, government contracted simulation, e-Discovery, and mobile applications. He has authored and taught courses on computer science, programming, and applied software topics at Full Sail University, Stetson University, and the University of Central Florida. Joe is a cofounder of Cacti Council, a 501(c)(3) non-profit organization dedicated to improving critical and creative thinking in education through computer science and its related disciplines. His outreach and volunteer work include degree program and STEM advisory committees, workshops, hackathons, Code.org, etc. Many of his former students have worked for Fortune 500 companies and game development studios. Joe merges industry experience with research-backed principles from faculty teaching and learning experts. He earned his computer science degrees from the University of Central Florida, and his doctoral dissertation uses spectral sky radiation and automated systems to improve building performance.
- Building performance
- Modeling and simulation
- Multi-spectral energy
- Del Rocco, J., Bourke, P. D., Patterson, C. B., & Kider, J. T. (2020). Real-time spectral radiance estimation of hemispherical clear skies with machine learned regression models. In Solar Energy (Vol. 204, p. 48-63). International Solar Energy Society (ISES).
- Moulton, N., Del Rocco, J., Kider Jr, J.T., & Fiore, S.M. (2018). An affective kinetic building façade system: Mood Swing. Proceedings, 13th Conference on Advanced Building Skins, October 1-2, Bern (pp. 417-426). Wilen, Switzerland: Advanced Building Skins GmbH, ISBN 978-3-9524883-4-8.
- Del Rocco, J., Patterson, C. B., Dhrif, H., & Kider, J. T. (2018). Learning and estimating whole sky visible, VNIR, SWIR radiance distributions from a commercial camera. In Optics and Photonics for Information Processing XII (Vol. 10751, p. 107510F). International Society for Optics and Photonics (SPIE).