In response to coronavirus and to help minimize its spread, many UCF events are being canceled.

If you have questions about what’s still open around campus, please check out this regularly updated guide.

Friday, July 17, 2020 noon to 1 p.m.

New in 2020! The UCF College of Engineering and Computer Science's Zoom-cast series is live-streamed every Friday, 12 p.m. to 1 p.m., offering four 10-minute talks by CECS faculty and a live-chat Q&A. 

Targeted to faculty, scientists and potential industry and government partners, all are invited to Zoom-in and hear presentations by UCF’s engineering and computer science faculty who explain their cutting-edge, pioneering research endeavors in quick, 10-minute snapshots. 

These talks provide an opportunity to get to know — and collaborate with — our faculty who are advancing innovations in all areas of engineering and computer science, including smart city technology, aerospace, energy, modeling and simulation, medicine, advanced materials, cyber security, and more. Each faculty presenter will narrate as they share illustrative slides.

Moderated by Subith Vasu, Ph.D., UCF Department of Mechanical and Aerospace Engineering, viewers can submit questions in real-time and express interest in collaborating. 

The July 17, 2020 faculty presenter lineup:

  • Ross Niebergall, Ph.D., VP of Engineering and CTO of L3Harris: "Industry Partner Spotlight: L3Harris"
  • Zhishan Guo, Ph.D., Dept. of Electrical and Computer Engineering: "When Machine Learning Meets Scheduling Theory: Towards Real-Time Intelligent Cyber-Physical Systems"
  • Mohamed Zaki, Ph.D., Dept. of Civil, Environmental and Construction Engineering: "Computer-Aided Methods for Smart Cities: From Safe Designs to Safe Mobility"
  • Kevin R. Coffey, Ph.D., Dept. of Materials Science and Engineering: "Nanoscale Metallic Interconnects"

See more details in the July 17 Faculty Research Talks flyer.

Location:

Virtual

Contact:


Calendar:

Events at UCF

Category:

Speaker/Lecture/Seminar

Tags:

College of Engineering and Computer Science research