Mr Mohammad Malekzadeh
Email: m.malekzadeh@qmul.ac.ukRoom Number: Peter Landin, CS 440Website: http://malekzadeh.uk/
Research
Research Interests:
Mohammad is currently a PhD student in Computer Science at Queen Mary University of London and a member of DataboxProject, an EPSRC project on privacy-aware personal data platform. His research focuses on machine learning for privacy-preserving data mining and publishing, particularly for time-series data generated by Internet of Things (IoT) devices. [His Official Webpage]Publications
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Malekzadeh M, Clegg RG, Cavallaro A et al. (2019). Mobile sensor data anonymization. nameOfConference
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Malekzadeh M, Clegg RG, Haddadi H (2018). Replacement autoencoder: a privacy-preserving algorithm for sensory data analysis. nameOfConference
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Malekzadeh M, Cavallaro A, Clegg RG et al. (2018). Protecting sensory data against sensitive inferences. nameOfConference
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Gharibi R, Malekzadeh M (2017). Gamified Incentives: A Badge Recommendation Model to Improve User Engagement in Social Networking Websites. nameOfConference
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Barghandan M, Malekzadeh M, Safdel A et al. (2014). A multi-generational social learning model: The effect of information cascade on aggregate welfare. nameOfConference
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MALEKZADEH M, Fazli M, Jalaly Khalilabadi P et al. (2011). Social balance and signed network formation games. 5th SNA-KDD Workshop ’11 (SNA-KDD’11)
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