Dr Alessandro Checco

BSc (Rome), MSc (Rome) , PhD (Hamilton Institute)

Information School

Lecturer in Business Analytics

Alessandro Checco
+44 114 222 2670

Full contact details

Dr Alessandro Checco
Information School
Regent Court (IS)
211 Portobello
S1 4DP

I am a mathematical engineer, particularly interested in graph theory, Markov chains, stochastic processes and randomised optmisation algorithms.

I am currently working on crowdsourcing, human computation and privacy issues in recommender systems and am working on the FashionBrain project.

Research interests

I am currently working on the European project FashionBrain.

I am interested in the following research topics

  • Crowdsourcing
  • Data Privacy
  • Algorithmic Bias and Crowdsourcing Bias
  • Digital Labour and Unionisation

Journal articles


  • Bellalta B, Zocca A, Cano C, Checco A, Barcelo J & Vinel A (2014) Throughput Analysis in CSMA/CA Networks Using Continuous Time Markov Networks: A Tutorial In Ganchev I, Curado M & Kassler A (Ed.), Wireless Networking for Moving Objects (pp. 115-133). Springer International Publishing RIS download Bibtex download
  • Bates J, Checco A & Gerakopoulou E () Worker perspectives on designs for a crowdwork co-operative In Hepp A, Jarke J & Kramp L (Ed.), New Perspectives in Critical Data Studies: The Ambivalences of Data Power. Palgrave Macmillan RIS download Bibtex download

Conference proceedings papers

Working papers

  • Checco A, Lancia C & Leith DJ (2014) Using Crowd sourcing for Local Topology Discovery in Wireless Networks.. CoRR, abs/1401.1551. RIS download Bibtex download
Teaching activities

I am TA of the module Big Data Analytics.

I have teaching experience in subject areas such as data science, machine learning and social computing. I have also coordinated industry certification in enterprise software and business analytics applications.

My teaching style include flipped teaching, peer learning and collaboration with industry.

I currently teach on the following modules:

  • Big Data Analytics
  • Data Mining and Visualisation
  • Business Intelligence
Professional activities

Membership of professional bodies

  • Italian Association of Operational Research
  • Wireless Networking group in Pompeu Fabra University, Barcelona, http://wnrg.upf.edu/people

Editorial board membership

  • Human Computation Journal

Committee and advisory group membership

  • Experts Europol Initiative “Criminal Use of Information Hiding”

Journal and conference reviewing

  • 2019 AAAI
  • 2018 TKDE
  • 2018 HCOMP
  • 2018 ACM SIGCOMM Workshop on Traffic Measurements for Cybersecurity (WTMC 2018)
  • 2017 INRT
  • 2017 IEEE Communications Letters
  • 2017 SIGIR
  • 2017 ICWSM
  • 2017 WWW
  • 2015 IEEE Journal on Selected Areas in Communications
  • 2015 Journal of Sensors
  • 2015 INFOCOM 2016
  • 2015 IEEE Transactions on Vehicular Technology
  • 2015 IEEE PIMRC
  • 2015 International Workshop on Cyber Crime
  • 2013 IEEE Transactions on Communications
  • 2013 ACM MobiHoc 2013
  • 2012 EURASIP Journal on Wireless Communications and Networking

Invited presentations

  • "Everyday data - the data annotators" at the University of Bremen, 2019
  • “Decentralised Machine Learning for Crowdsourcing” at the University of Queensland, October 2018
  • "Human Computation and Crowdsourcing - Questions and Challenges" at Pompeu Fabra University, February 2017
  • “Decentralised Algorithms for Wireless Networks”, at University of California, Los Angeles, Nov 2014
  • “Fast Decentralised Graph Coloring”, at Electrical and Computer Engineering Department, Urbana Illinois, Nov 2014
  • “New Trends in Recommender Systems”, EPFL, Lausanne, October 2014

Other roles