Dr Alessandro Checco
BSc (Rome), MSc (Rome) , PhD (Hamilton Institute)
Information School
Lecturer in Business Analytics

+44 114 222 2670
Full contact details
Information School
Regent Court (IS)
211 Portobello
Sheffield
S1 4DP
- Profile
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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
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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
- Publications
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Journal articles
- AI-assisted peer review. Humanities and Social Sciences Communications, 8(1).
- CrowdCO-OP : sharing risks and rewards in crowdsourcing. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW2). View this article in WRRO
- Adversarial Attacks on Crowdsourcing Quality Control. The Journal of Artificial Intelligence Research, 67(2020), 375-408. View this article in WRRO
- The impact of task abandonment in crowdsourcing. IEEE Transactions on Knowledge and Data Engineering. View this article in WRRO
- Deadline-Aware Fair Scheduling for Multi-Tenant Crowd-Powered Systems. ACM Transactions on Social Computing, 2(1), 1-29. View this article in WRRO
- The Evolution of Power and Standard Wikidata Editors: Comparing Editing Behavior over Time to Predict Lifespan and Volume of Edits. Computer Supported Cooperative Work. View this article in WRRO
- View this article in WRRO
- Updating Neighbour Cell List via Crowdsourced User Reports: A Framework for Measuring Time Performance. Wireless Communications and Mobile Computing, 2018, 1-11. View this article in WRRO
- Fast, Responsive Decentralized Graph Coloring. IEEE/ACM Transactions on Networking, 25(6), 3628-3640. View this article in WRRO
- BLC: Private Matrix Factorization Recommenders via Automatic Group Learning. ACM Transactions on Privacy and Security, 20(2). View this article in WRRO
- View this article in WRRO
- Analysis of Dynamic Channel Bonding in Dense Networks of WLANs. IEEE Transactions on Mobile Computing, 16(8), 2118-2131. View this article in WRRO
- On the Interactions Between Multiple Overlapping WLANs Using Channel Bonding.. IEEE Transactions on Vehicular Technology, 65(2), 796-812.
- Fair Virtualization of 802.11 Networks. IEEE/ACM Transactions on Networking, 23(1), 148-160.
- Throughput Analysis in CSMA/CA Networks Using Continuous Time Markov Networks: A Tutorial, 115-133.
- Learning-Based Constraint Satisfaction With Sensing Restrictions. IEEE Journal of Selected Topics in Signal Processing, 7(5), 811-820.
- Proportional Fairness in 802.11 Wireless LANs. IEEE Communications Letters, 15(8), 807-809.
Chapters
- 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
Conference proceedings papers
- Modelling User Behavior Dynamics with Embeddings. Proceedings of the 29th ACM International Conference on Information & Knowledge Management
- Integrating fate/critical data studies into data science curricula: Where are we going and how do we get there?. FAT* 2020 - Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (pp 425-435) View this article in WRRO
- Crowd Worker Strategies in Relevance Judgment Tasks. Proceedings of the 13th International Conference on Web Search and Data Mining
- Internet of Trees: A Vision for Advanced Monitoring of Crops. Proceedings of the 9th International Conference on Sensor Networks, 28 February 2020 - 29 February 2020.
- Quality Control Attack Schemes in Crowdsourcing. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 10 August 2019 - 16 August 2019.
- Augmenting Intelligence with Bias-aware Humans-in-the-loop (HumBL2019). Companion Proceedings of The 2019 World Wide Web Conference
- All those wasted hours: On task abandonment in crowdsourcing. ACM Digital Library (pp 321-329), 11 February 2019 - 15 February 2019. View this article in WRRO
- View this article in WRRO
- View this article in WRRO
- Investigating User Perception of Gender Bias in Image Search. The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval
- Modus Operandi of Crowd Workers: The Invisible Role of Microtask Work Environments. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 1(3). New York View this article in WRRO
- Recommending access points to individual mobile users via automatic group learning. IEEE International Conference on Communications View this article in WRRO
- Self-configuration of scrambling codes for WCDMA small cell networks. 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC), 9 September 2012 - 12 September 2012.
- View this article in WRRO
Working papers
- AI-assisted peer review. Humanities and Social Sciences Communications, 8(1).
- Teaching activities
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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
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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
- Programme Coordinator of the H2020 project FashionBrain