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2022

  1. On the stability of spectral graph filters and beyond
    Institute for Digital Communications, The University of Edinburgh, Edinburgh, UK, May 2022.

  2. On the stability of spectral graph filters and beyond [Slides] [Video]
    AI+Math Colloquia, Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, China, May 2022.

2021

  1. Data-driven urban science [Slides]
    Research Showcase, 34th Jenkin Lecture, Department of Engineering Science, Oxford, UK, September 2021.

  2. Recent advances in learning with graphs
    ABCP Annual Conference, July 2021.

  3. Graph signal processing for machine learning [Slides1] [Slides2] [Slides3]
    IEEE ICASSP Tutorial, Toronto, ON, Canada, June 2021.

  4. Recent advances in learning with graphs [Slides]
    Clarkson Center for Complex Systems Science, Clarkson University, Potsdam, NY, USA, March 2021.

2020

  1. Learning quadratic games on networks [Slides]
    Department of Computer Science, University of Bath, Bath, UK, July 2020.

  2. Segregated interactions in urban and online space
    Human Dynamics Group, MIT Media Lab, Cambridge, MA, USA, July 2020.

  3. How can data engineers fight a virus? [Link]
    Choral Contemplation, Somerville College, Oxford, UK, May 2020.

  4. Urban segregation: Going beyond residential neighbourhoods
    SCR/MCR/JCR Symposium, Somerville College, Oxford, UK, February 2020.

  5. Urban segregation in behaviour
    Network Economics Reading Group, Department of Economics, Oxford, UK, February 2020.

  6. Recent advances in learning with graphs
    Machine Learning Research Group, Department of Engineering Science, Oxford, UK, February 2020.

  7. Learning quadratic games on networks
    Department of Computer Science, University of Surrey, Guildford, UK, January 2020.

2019

  1. Network-based learning for understanding collective human behaviour
    Network Science in Financial Services Workshop, Alan Turing Institute, London, UK, December 2019.

  2. Learning quadratic games on networks
    Network Economics Reading Group, Department of Economics, Oxford, UK, November 2019.

  3. Urban segregation in behaviour: A data-driven approach [Slides]
    Institute for Analytical Sociology, Norrköping, Sweden, September 2019.

  4. Learning graphs from data: A signal processing perspective
    Twitter UK, London, UK, September 2019.

  5. Urban segregation in behaviour: A data-driven approach
    School of Economics and Resource Management, Beijing Normal University, Zhuhai, China, July 2019.

  6. Signal processing and machine learning on graphs [Slides]
    Oxford Summer School in Economic Networks, Oxford, UK, June 2019.

  7. Network-based learning for understanding collective human behaviour [Slides]
    Summer Institute in Computational Social Science, Oxford, UK, June 2019.

  8. Urban segregation in behaviour: A data-driven approach
    Trinity 2019 Seminar Series, Oxford Institute of Population Ageing, Oxford, UK, June 2019.

  9. Urban segregation in behaviour: A data-driven approach
    Mathematical Institute, Oxford, UK, June 2019.

  10. Learning quadratic games on networks
    Power of Graphs Workshop, UCL, London, UK, June 2019.

  11. Learning graphs from data: A signal processing perspective [Slides]
    OxCSML Seminar, Department of Statistics, Oxford, UK, May 2019.

  12. Graph signal processing: Concepts, tools and applications in neuroscience [Slides]
    NISOx, Big Data Institute, Oxford, UK, February 2019.

  13. Learning quadratic games on networks
    TADS Seminar, Alan Turing Institute, London, UK, January 2019.

2018

  1. Learning graphs from data: A signal processing perspective
    London Machine Learning Meetup, London, UK, July 2018.

  2. Learning graphs for games on networks
    Signal Processing Laboratory (LTS4), EPFL, Lausanne, Switzerland, June 2018.

  3. Understanding individual and collective decision-making
    School of Economics and Resource Management, Beijing Normal University, Beijing, China, May 2018.

2017

  1. Graph signal processing: Concepts, tools and applications
    Man AHL, London, UK, December 2017.

  2. Topology inference from data: A graph signal processing perspective
    Oxford-Man Institute Machine Learning Workshop, Oxford, UK, November 2017.

  3. Graph signal processing: Concepts, tools and applications
    AIMS CDT Programme, Oxford, UK, October 2017.

  4. Living Labs: Large-scale experimental systems for testing new technologies and strategies
    Internet and Mobile Computing Lab, Hong Kong Polytechnic University, Hong Kong, China, July 2017.

  5. Living Labs: Large-scale experimental systems for testing new technologies and strategies
    School of Economics and Resource Management, Beijing Normal University, Beijing, China, July 2017.

  6. Social bridges in urban purchase behavior [Slides]
    Beaver Works Center, MIT Lincoln Laboratory, Cambridge, MA, USA, June 2017.

  7. Learning graphs from data: A signal processing perspective [Slides]
    Graph Signal Processing Workshop, Carnegie Mellon University, Pittsburgh, PA, USA, May 2017.

  8. Effect of direct and indirect communication on human decision-making
    Sabanci School of Management, Sabanci University, Istanbul, Turkey, April 2017.

  9. Behavioral segregation in virtual and physical space
    Bell Labs Cambridge, Cambridge, UK, April 2017.

  10. Behavioral segregation in virtual and physical space
    Data Science Institute, Imperial College London, London, UK, April 2017.

  11. Effect of direct and indirect communication on human decision-making
    Signal Processing Laboratory (LTS4), EPFL, Lausanne, Switzerland, April 2017.

2016

  1. Understanding purchase behaviour using bank transaction data
    Changing Places Group, MIT Media Lab, Cambridge, MA, USA, April 2016.

  2. Measuring social repercussions of events using bank transaction data
    Scalable Cooperation Group, MIT Media Lab, Cambridge, MA, USA, March 2016.

2015

  1. Measuring social repercussions of events using bank transaction data
    Mobile and Social Computing Lab, Fondazione Bruno Kessler, Trento, Italy, September 2015.

  2. Graph signal processing: Tools and mobility inference applications
    The Porter School for Environmental Studies, Tel Aviv University, Tel Aviv, Israel, April 2015.