(Poveda, Jorge Ivan - 2020) -- Career Initiation Initiative CRII Award or Honor Receipt uri icon



  • Assistant Professor Jorge Poveda has received the prestigious Career Initiation Initiative award from the National Science Foundation’s Cyber-Physical Systems Program.Also referred to as the “mini CAREER Award,' this selective award supports untenured junior faculty who have obtained their first academic position after earning their PhD. The award will help fund Poveda’s research and support his graduate students for the next two years.Poveda won the award for his research titled “High-Performance Adaptive Hybrid Feedback Algorithms for Real-Time Optimization and Learning in Networked Transportation Systems.” It will allow his group to develop new families of adaptive algorithms that better respond to real-time challenges on roadways.He noted that recent advances in sensing, computation and communication have led to the deployment of new automated technologies on roadways – things like traffic light control and dynamic tolling systems that automatically adjust to changes in traffic conditions. However, Poveda said, the algorithms these systems use still don’t react well to unexpected “disturbances” like demand fluctuations or traffic accidents. The systems may be relying on inaccurate mathematical models that ignore complex dynamic behaviors, or they may be limited by subsystems that struggle to communicate with one another.