02 DecMaterial Science and Engineering Graduate SeminarDevices for Artificial Intelligence using Two-Dimensional Materials
Devices for Artificial Intelligence using Two-Dimensional Materials
  • Prof. Tania Roy
  • University of Central Florida
  • Thursday, December 02, 2021
  • 04:30 PM - 05:30 PM
  • Zoom Webinar
2021-12-02T16:302021-12-02T17:30Asia/RiyadhDevices for Artificial Intelligence using Two-Dimensional MaterialsZoom WebinarMazen E. Mero

‚ÄčLink to join Webinar

ABSTRACT: Advances in machine learning and artificial intelligence has been mainly from the architecture and software levels, with the basic building blocks still being CMOS transistors. This causes the hardware to be bulky and power-hungry. We are developing neuromorphic devices functioning similar to the neurons and synapses of the human brain, which can serve as the basic building blocks of neural network hardware, making the systems energy-efficient, scalable and compact. In this talk, Roy will discuss her use of novel semiconducting two-dimensional materials to make artificial neurons and synapses which can perform pattern recognition. She will also discuss her efforts in developing optoelectronic synapses using 2D materials.

BIOGRAPHY: Dr. Tania Roy is an Assistant Professor at NanoScience Technology Center and Department of Materials Science and Engineering at the University of Central Florida. Her current research interests lie in developing hardware for artificial intelligence applications using novel functional materials including two-dimensional materials. She also works on energy-harvesting devices, particularly advanced photon management systems in ultra-thin solar cells. She won the NSF CAREER award in 2019 and the UCF Luminary award in 2021. Prior to joining UCF in 2016, Roy was a postdoctoral researcher at University of California, Berkeley and Georgia Institute of Technology. She obtained her PhD and MS degree in Electrical Engineering from Vanderbilt University.


  • Mazen E. Mero