Professor Yiannis Demiris



At a glance

I am a Professor at Imperial College London, leading the Personal Robotics Laboratory. I do research in artificial intelligence, human-robot interaction, machine learning, humanoid & assistive robotics, and in-vehicle intelligent systems, with a particular emphasis on the mechanisms of lifelong machine learning and personalisation. A special interest of mine is the design and implementation of long-term user modelling and assistive mechanisms, particularly for children and adults with disabilities.

Latest News


  1. Bullet Researcher position available [1]: we were successful in winning a MURI (Multidisciplinary University Research Initiative) grant with US partners at USC, Harvard, UC Berkeley, CSHL, NYU, and UK partners at UCL and U Essex. The grant is on “Closed-Loop Multisensory Brain-Computer Interface for Enhanced Decision Accuracy”, and our role at Imperial is on attentional modelling for enhanced decision support and closed loop BCI in driving tasks. It is scheduled to start in November 2016, and it is for 3+2 years. Email me after seeing details [here].

  2. Bullet Researcher position available [2]: we were successful with an EU Horizon 2020 grant application, PAL (Personal Assistant for Healthy Lifestyle, March 2015 - 2019), where we will be looking into machine learning algorithms for advanced user modelling in order to personalise the assistance that a robot (and a avatar on mobile device) can provide to children with diabetes. If you have an excellent mathematical & software engineering skills, email me or see details [here].

  3. Bullet I am giving another invited public lecture on “Robots Helping People” as part of  the IET Prestige Lectures in Cambridge (Churchill College) on the 23rd of February 2017, in case you missed the one in London on the 11th of May. 

  4. Bullet Congratulations to Hyung Jin Chang for getting two papers accepted to CVPR-2016, to Maxime Petit and Tobias Fischer for getting two papers accepted to ICRA-2016 and to Martina Zambelli, Yixing Gao and Hyung Jin Chang for getting two papers accepted to IROS-2016.

  5. Bullet The first round of the new Mobile Healthcare and Machine Learning module I teach to 4th year undergraduates completed at the end of March 2016; the group projects were fantastic, ranging from self-monitoring mobile systems for diabetes management to coffee/sleep recommendation systems, as well stress reduction systems, and gym buddy systems for avoiding exercise injuries. Well done everyone! We will be running the course again in January 2017.

  6. Bullet Congratulations to Miguel Sarabia for completing his PhD in February 2016, and joining Apple R&D in sunny California.

  7. Bullet