Honors
Research:
NSF CAREER Award, "Learning, Estimation, and Control of Networked Epidemic Processes," ECCS-EPCN, 2023-2028
IFAC Young Author Award (finalist), 2022 IFAC Conference on Networked Systems (NecSys 22). For paper: "A Networked Competitive Multi-Virus SIR Model: Analysis and Observability" Co-authors: Ciyuan Zhang (student and lead author), S. Gracy, & T. Başar
Purdue University Societal Impact Fellow, 2021
IEEE Control Systems Letters Outstanding Reviewer, 2020
Recipient of the 2017-2018 Robert T. Chien Memorial Award for excellence in research
Winner of the Best Talk Award in the Decision and Control Session of the 13th CSL Student Conference, sponsored and judged by Honeywell
Teaching:
University of Illinois List of Teachers Ranked as Excellent by Students, with Outstanding Ratings, for Fall 2017.
UIUC Center for Innovation in Teaching & Learning (CITL):
Student Honors:
My PhD student Ciyuan Zhang was selected as a finalist for the IFAC Young Author Award for our paper titled "A Networked Competitive Multi-Virus SIR Model: Analysis and Observability" at the IFAC Conference on Networked Systems (NecSys 22)
My PhD student Ciyuan Zhang won 2nd place in the 2022 CERIAS Symposium Poster Contest for his poster titled "On the Analysis and Observability of a Networked Competitive Multi-Virus SIR Model," based on his paper titled "A Networked Competitive Multi-Virus SIR Model: Analysis and Observability"
María Gibbs, our SURF student mentored by my PhD student Humphrey Leung, was named one of five 2021 Outstanding First-Time Researchers out of over 150 SURF participants
My PhD student Ciyuan Zhang was selected for the ICON Outstanding Student Research Symposium and presented a talk titled "Estimation and Distributed Eradication of SIR Epidemics Over Networks" on Friday May 14, 2021
Funding:
My NSF CAREER Award, titled "Learning, Estimation, and Control of Networked Epidemic Processes," has been funded by the NSF-ECCS Program
Our project titled "Collaborative Research: A Comprehensive Approach to Modeling, Learning, Analysis and Control of Epidemic Processes over Time-Varying and Multi-Layer Networks" has been funded by the NSF-ECCS Program
Our project titled "Rapid: Collaborative Research: Using Data to Understand the Effects of Transportation on the Spread of COVID-19 as a Propagator and a Control Mechanism" was funded by the NSF-CNS Program
Our project titled "Algorithms and Software Tools for Testing and Control of COVID-19" was funded by the C3.ai Digital Transformation Institute
We were awarded a KTH "Collaboration to tackle the Covid-19 crisis" seed funding grant