Podcast in which I interview fascinating people from within the world of control theory/ control engineering. Primarily aimed at PhD/masters students but can hopefully be enjoyed by anyone with an interest in control.
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In this episode I got to chat with the incredibly wonderful Dr Keyan Miao about the fascinating work she’s done on neural ODEs. We discuss applying control theoretic tools to optimise neural ODEs, as well as their use for both controller and observer design. And in case that wasn’t already enough we also touch on dissipativity, Koopman operators, and reinforcement learning!
In this episode I take you with me to the 2026 IFAC World Congress in Busan, South Korea, where I got to talk to a bunch of wonderful control researchers about their work. We cover a wide range of fascinating research areas, including observer design for transportation, event-triggered control, consensus control, extremum-seeking, robotic manipulation, control education and outreach, and a whole lot more!
Francesca Boem (Distributed Monitoring and Attack Detection)
Saturday, August 1, 2026 • Duration 59:42
In this episode I had the pleasure of talking to the fantastic Francesca Boem about her work on monitoring networked systems, approaches to detecting faults and cyber attacks, as well as her new start-up helping to ensure the security of wireless health-tech devices!
CONTROL 2026 (ACE Network/ UKACC Conference Special)
Season 2 · Episode 9
Wednesday, July 1, 2026 • Duration 50:30
In this episode I have the pleasure of attending the CONTROL2026 conference, and bring you along with me! This conference was the largest gatheringof control engineers in the UK recent years, co-organized by the ACE network and UK Automatic Control Council (UKACC). Join me as I explore the ACE network and some of the fabulous control engineering research taking place across theUK!
Carmen Amo Alonso: Part 2 (AI Architectures and the Dynamics of Intelligence)
Season 2 · Episode 8
Sunday, June 7, 2026 • Duration 52:03
In the second part of my interview with the incredibly talented Carmen Amo Alonso we discuss her fascinating work at the intersection of AI and control, examining topics such as:
Using tools from control theory to analyse and design AI systems
Controlling large language models to guarantee a particular sentiment for their output
Using vision-language-action models to control robots using language
Carmen Amo Alonso: Part 1 (Distributed and Localized Model Predictive Control)
Season 2 · Episode 7
Tuesday, June 2, 2026 • Duration 30:23
In this episode I talk to the very wonderful Carmen Amo Alonso about her (award-winning) PhD research on distributed and localised MPC. We also cover super interesting and useful concepts such as system-level synthesis and ADMM, as well as her internship working at Tesla!
Journal Clubs (Creating reading groups that people want to be part of)
Season 2
Friday, May 1, 2026 • Duration 34:14
In this episode I talk to three lovely researchers all about journal clubs (AKA reading groups) – what they are, why you might want to be part of one, and how to start your own! I also give some insights from my own experiences running a (control-related) journal club, as well as a summary of three of my favourite papers we’ve read.
In this episode I got the opportunity to sit down with the fantastic Brian Douglas and talk about what it's like to be a control engineer in industry, common misconceptions he had, and advice for current students. We also discussed his YouTube channel, as well as a few more technical aspects of projects he's been involved with over the years!
Gioele Zardini (Engineering Trade-offs and Co-design)
Season 2 · Episode 5
Sunday, March 1, 2026 • Duration 01:09:55
In this episode I got to speak with the fantastic Gioele Zardini about his work on the co-design framework, a fascinating framework used to optimise large interconnected systems. We cover the theoretical background of this, intuition behind it, and a ton of different applications where it’s useful, as well as discussing exciting open questions in the field!
Barbara Franci (Game Theory and Resource Allocation)
Season 2 · Episode 3
Sunday, February 1, 2026 • Duration 54:31
In this episode I have a lovely conversation with Dr Barbara Franci about her research into game theory, exploring both theoretical concepts (such as variational inequalities, forwards-backwards algorithms, and stochastic Nash equilibrium-seeking problems) and practical applications, including resource allocation, energy management, and generative adversarial networks!
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