Princeton NextG Faculty Spotlight Series: Professor Yasaman Ghasempour

Apr 16, 2024, 12:00 pm1:00 pm



Event Description


Please join us for a Princeton NextG Faculty Spotlight Series Presentation feat. Professor Yasaman Ghasempour.

Registration is required – please register in advance for this meeting: After registering, you will receive a confirmation email containing information about joining the meeting

Biography: Yasaman Ghasempour joined Princeton University as an Assistant Professor of Electrical and Computer Engineering in 2021. Yasaman is the recipient of the AFOSR Young Investigator Award (2024), the NSF CAREER Award (2022), the 2020 Marconi Young Scholar Award, and the Excellence in Teaching Award from the School of Engineering and Applied Sciences. Yasaman is listed as one of 10 stars worldwide in Computer Networking and Communications in 2022. Her group received the best paper award in USENIX NSDI 2023 and ACM MobiCom 2023. Yasaman is featured in the Smithsonian Institution’s Museum of Natural History as a change-making innovator in wireless technology. She received her Ph.D. and master’s degree from Rice University and her bachelor’s degree from the Sharif University of Technology. Yasaman’s PhD Thesis received the ACM SIGMOBILE dissertation award. Her current research focuses on next-generation wireless networks and sensing systems, including novel devices and protocols for millimeter-wave and terahertz wireless networks.


This is a virtual event. Zoom link below.

Professor Ghasempour will present her research, followed by a Q&A/discussion period.

The NextG Faculty Spotlight Series is hosted by Princeton NextG, an initiative of Princeton's School of Engineering and Applied Sciences. The NextG Initiative at Princeton is creating the foundation for intelligent networks of the future across wireless, backbone networking, and cloud systems. The initiative focuses on cross-disciplinary approaches, bringing theory to practice, and covering the ‘full stack’ from the underlying technological fabric in integrated electronic and photonic circuits and systems, edge networks, IOT and cloud, to foundational theory, algorithms and AI approaches that make these networks scalable, efficient, secure, and accessible.