About
I am an Assistant Professor at the Agents Interaction and Complexity Group, Electronics and Computer Science at the University of Southampton. Prior to Southampton I was a recipient of the prestigious Marie Curie research fellow award and hosted at the University of York. This followed previous research fellow appointments at the UPMC (France), Gulbenkian Institute of Science (Portugal), Institute for Systems and Robotics (Portugal), Swiss Federal Institute of Technology (Switzerland), and University of Lausanne (Switzerland) where I obtained my doctoral degree in Life Science. I have a Masters degree in Computer Science from the Indian Institute of Technology, Bombay.
Through the development and application of theoretical models, agent-based models, multi-scale stochastic simulations, and the physical instantiation of biological models in robots, I have addressed a diverse range of important problems in, task allocation and division of labor in large-scale multiagent systems, immunological maintenance of self-tolerance in the adaptive immune system, and fault-detection and fault-tolerance in both single-robot systems and large-scale robot swarms. Research on resilient robots that I have collaborated on has been featured on the front cover of the Nature magazine and received widespread media coverage. The work was covered by around 40 news outlets (including BBC News, CBC, Washington Post, The Guardian, The New York Times, and BBC Radio), and by over 15 science and technology blogs (including IEEE Spectrum, CNET, Science/AAAS, Phys.org, Tech Times, Wired.co.uk and Robotics Trends). The accompanying videos demonstrating robot damage recovery received over 225k views on YouTube.
Research
Research groups
Current research
My research aims to push robot swarms currently operating in carefully controlled laboratory environments out into the real world.
Robot swarms to date are frail systems, unprepared for long-term autonomy. They require hours of learning to adapt their behavior, to recover from faults inevitably sustained during operation. My research aims to remedy this situation by developing an algorithmic framework allowing robots in a swarm to robustly detect faults in each other, and adapt rapidly to unforeseen situations in their environment.
As an early career researcher, I have secured over £400K of research funding. I am currently PI on an EPSRC New Investigator grant to develop data-efficient learning algorithms for rapid behavior adaptation in robot swarms. Am also a Co-PI on a Turing pilot project formulating scalable human-swarm interactions for flexible autonomy.
Research projects
Completed projects
Publications
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