Ali Pezeshki
Colorado State University-Fort Collins, CO·Engineering
Wireless networks and radar systems increasingly compete for the same radio frequencies. Demand comes from 5G, smart cities, self-driving cars and virtual reality, while radar sensing is spreading.
- Fields
Engineering
Mathematics & Statistics
Computer Science
- Topics
spectrum sharing
dynamic spectrum access
radar-communication coexistence
- Grants
- 1 known grant, last ended Sep 2026
What they work on
- Develop a stochastic optimization framework in which radar and communication users share spectrum under constraints that keep the probability of harmful interference low.
- Characterize mutual interference and performance trade-offs among coexisting radar and communication nodes as the basis for spectrum-sharing designs.
- Integrate reconfigurable intelligent surfaces and dual-function UAVs into spectrum-sharing optimization, using time-varying stochastic constraints for dynamic environments.
More about the research
Today, regulators split the spectrum so users never interfere. That cautious approach wastes capacity. This collaborative project develops the mathematics needed for communication and radar systems to share spectrum safely and efficiently.
Why it matters
More efficient spectrum sharing could let wireless networks and radar operate together with more capacity. This could support applications such as autonomous vehicles and smart manufacturing. The project ties this goal to wider access and lower broadband costs, which could help narrow the digital divide.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Mingyue Ji
University of Florida, FL·Engineering·Early-career
Develop reconfigurable radio hardware and CAP-MIMO antenna designs, whose sub-apertures can be split between tasks, so one system can sense surroundings and communicate at once in the INSTINCT system.
Miao Pan
University of Houston, TX·Computer Science
Design software-hardware co-designed model pruning and adaptive quantization schemes that exploit the sparsity of model updates to reduce computation and memory access during federated learning on a single 5G mobile device.
Theodore Rappaport
New York University, NY·Engineering
Design and prototype a wideband liquid crystal-based reconfigurable intelligent surface (RIS) at 142 GHz, first passive and then active, using amplifier-integrated substrate-integrated waveguide elements.
The school
Colorado State University-Fort Collins: 23 labs on PI Pages, $466M a year on research, 276 research doctorates a year.
Reach out
A start for your email. Fill in the brackets.