Mr Mohammad Malekzadeh

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

• Malekzadeh M, Clegg RG, Cavallaro A et al. (2019). Mobile sensor data anonymization. nameOfConference

  
  

  DOI: 10.1145/3302505.3310068

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/56781
• Malekzadeh M, Clegg RG, Haddadi H (2018). Replacement autoencoder: a privacy-preserving algorithm for sensory data analysis. nameOfConference

  
  

  DOI: 10.1109/IoTDI.2018.00025

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/42251
• Malekzadeh M, Cavallaro A, Clegg RG et al. (2018). Protecting sensory data against sensitive inferences. nameOfConference

  
  

  DOI: 10.1145/3195258.3195260

  
  

  QMRO: qmroHref
• Gharibi R, Malekzadeh M (2017). Gamified Incentives: A Badge Recommendation Model to Improve User Engagement in Social Networking Websites. nameOfConference

  
  

  DOI: 10.14569/IJACSA.2017.080533

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/56266
• Barghandan M, Malekzadeh M, Safdel A et al. (2014). A multi-generational social learning model: The effect of information cascade on aggregate welfare. nameOfConference

  
  

  DOI: 10.1109/ASONAM.2014.6921637

  
  

  QMRO: qmroHref
• 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)

  
  

  DOI: doi

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/19416