In this bonus episode I explore the work of ten fascinating researchers that I met at the Meet the Faculty Candidates poster session at CDC last month. We cover a wide array of different areas, including data-driven methods, fault-tolerant control, biological systems, PDEs, distributed estimation and a whole lot more!

Correction: At ~5:20 I mention that Anju was able to characterize the strategies of the two communicating entities at the Nash equilibrium – In actual fact this is a Stackelberg equilibrium (Stackelberg games involve players acting sequentially, taking either a leader or follower role)

You can view the transcript for this episode at: https://docs.google.com/document/d/15Tf4ORHPI5Thbs-nA9DQTSu87TKbYni9JJN2UXqn5kU/edit?usp=sharing

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Links and references

Amy Strong: https://bridgeman.pratt.duke.edu/people/amy-strong

Paper on data-driven invariance: https://arxiv.org/pdf/2511.19231

Anju Anand: https://sites.google.com/binghamton.edu/anjuanand

Strategic quantisation: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10960399

Incorporating privacy into the objective: https://arxiv.org/pdf/2506.06321

Brian Block: https://mae.osu.edu/people/block.168

Control of PDE traffic flow: https://arxiv.org/pdf/2512.04823

Declan Jagt: https://search.asu.edu/profile/3729730

Stability analysis of coupled multivariate PDEs: https://arxiv.org/pdf/2508.14840

Scalar quadratic PDEs: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10384073

PIETOOLS software: https://control.asu.edu/pietools/pietools

Hamza El-Kebir: https://www.linkedin.com/in/hamza-el-kebir/

Control authority degradation paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10354437

Sensor and actuator degradation: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10521243

Electrosurgery paper: https://royalsocietypublishing.org/rsif/article/21/210/20230420/90578/Heat-conduction-in-live-tissue-during

Electrostatic signed distance functions: https://arxiv.org/pdf/2508.12554

Kirill Sechkar: https://engbio.ox.ac.uk/people/kirill-sechkar

Control of genetic circuits paper: https://www.biorxiv.org/content/10.1101/2025.04.01.646303v2.full.pdf

Nick Marios Kokolakis: https://www.linkedin.com/in/nick-marios-t-kokolakis-44717b164/

Pre-defined time RL paper: https://www.sciencedirect.com/science/article/abs/pii/S0005109825003152

 Parth Paritosh: https://pptx.github.io/pparitosh/Estimating a subset of variables: https://arxiv.org/pdf/2312.01227

Privacy preserving paper: https://ieeexplore.ieee.org/abstract/document/11073227

Radoslaw Patelski: https://www.linkedin.com/in/radoslaw-patelski/?originalSubdomain=pl

Observers for hovercraft: https://ieeexplore.ieee.org/abstract/document/9874346

ADRC with parameter identification: https://ieeexplore.ieee.org/abstract/document/10345678

ADRC with adaptive input gain: https://www.sciencedirect.com/science/article/pii/S0019057825001089

Carmen Amo Alonso: https://camoalon.github.io/

Research overview: https://camoalon.github.io/research/

Comparing mixer blocks: https://arxiv.org/pdf/2405.15731

Intro to state space models in deep learning: https://arxiv.org/pdf/2403.16899

Combining generative AI with control in robotics: https://arxiv.org/pdf/2403.10762