1. Projects
  2. PhD Topics
  3. Resources
  4. Seminars / Reading Group
  5. Data Bites
    1. Projects
    2. PhD Topics
    3. Resources
    4. Seminars / Reading Group
    5. Data Bites
Machine Learning

Research Centre for Machine Learning

Established within the Department of Computer Science at City, University of London, the Research Centre for Machine Learning conducts research into the construction and study of systems that can learn from data. The research expertise in the centre is focused on neural-symbolic computing and learning, reasoning and knowledge extraction from Big Data, and the analysis of rich media information including video, audio, multimodal and spatiotemporal data.

The research activity of the centre is driven by inputs from a variety of research users, including academic and industrial partners, with application in the areas of software verification, visual intelligence, multimodal signal processing, social robotics, business process adaptation, training and assessment in simulators, and games. This research is at the core of three research growth areas in the UK: verification and correctness, digital signal processing, statistics and applied probability. The centre also has a large number of regular visitors and collaborators from the UK, Europe and beyond.

The Research Centre for Machine Learning is also a member of the EPSRC Network+ on Human-Like Computing (HLC) and the City Data Science Institute (DSI).

The centre is also actively involved in the management and delivery of City's MSc Data Science.


A list of publications of the centre members can be found at the City Research Online digital archive. In addition, centre members have their own lists which can be accessed from their webpages.

PhD opportunities

The centre welcomes applications from students and researchers who would like to work in the areas of interest of the academic members of the centre. Prospective candidates can contact Artur Garcez or any relevant academic member of the centre.


For more information about the Research Centre for Machine Learning, including news, presentation slides, recent research discussions and specific areas of research, please visit the Research Centre for Machine Learning blog.


Centre members

Associates and regular visitors

  • Prof Luis Lamb, UFRGS, Brazil
  • Prof Gerson Zaverucha, UFRJ, Brazil
  • Prof Pascal Hitzler, Wright, USA
  • Prof Dov Gabbay, King's College London, UK
  • Prof John-Jules Meyer, Utrecht, The Netherlands
  • Dr Elias de Oliveira, UFES, Brazil
  • Simo Dragicevic, CEO, Bet Buddy Ltd.
  • Dr Edjard Mota, UFAM, Brazil
  • Luciano Serafini, FBK, Italy
  • Dr Michael Spranger, SONY Research, Japan


  • Anfisa Lazareva (Mirada Medical)
  • Moazzam Jawaid
  • Rahman Al-Arif (Netherlands Cancer Institute)
  • Dr Suresh Veluru (UTRC, Ireland)
  • Dr Son Tran (CSIRO, Australia)
  • Dr Reinier de Valk (DANS, Netherlands)
  • Dr Panos Dafas (Aspect Capital)
  • Dr Lu Ren (Citibank)
  • Dr Michael Fairbank (University of Essex)
  • Rahul Dey (Sony)
  • Saba Ferdous (UCL)
  • Dr Rafael Borges (UFRGS, Brazil)
  • Dr Hazrat Ali (COMSATS IIT, Abbottabad)
  • Dr Alan Perotti (ISI Foundation, Turin)
  • Dr Muhammad Asad (Imagination Technologies)
  • Dr Kelsey Guo (KPMG)
  • Manoel Franca
  • Leo de Penning
  • Dr Srikanth Cherla (Jukedeck)
  • Siddharth Sigtia (QMUL)
  • Dr Avelino Forechi (UFES, Brazil)
  • Dr Andrew Lambert
  • Dr Tarek Besold (Telefonica Alpha)
  • Dr Rilwan Basaru
  • Dr Sepehr Jalali (UCL)
  • Dr Niklas Kokkola
  • Dr Andre Luzardo (Boston University)
  • Dr Atif Riaz
  • Dr Ivan Donadello (FBK, Italy)
  • Dr Peter Smith (Senior Lecturer)
  • Dr Marios Prasinos
  • Asmaa Mahdi