I am a Research Assistant at Information Processing and Communications Lab at Imperial College London working on reliable and privacy-preserving federated learning on the edge devices, with Prof. Deniz Gunduz. I started my PhD in Computer Science at Queen Mary University of London in January 2017 as a member of Centre for Intelligent Sensing under the supervision of Prof. Andrea Cavallaro (formerly, Dr. Hamed Haddadi) and Dr. Richard G. Clegg, supported by Life Sciences Institute. My Ph.D. research focuses on privacy-preserving machine learning mechanisms for temporal data analysis, particularly for time-series data generated by the mobile and wearable devices. I have been a Ph.D. intern at Brave Software where I worked on privacy-preserving content personalization, working with Dr. Dimitrios Athanasakis and Dr. Benjamin Livshits. I have also been a visiting PhD student at Imperial College London, as a member of DataboxProject, working with Dr. Hamed Haddadi. Please download my CV for more information.
Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris
• 2020 - Preprint.
Giuseppe Siracusano, Salvator Galea, Davide Sanvit, Mohammad Malekzadeh, Hamed
Haddadi, Gianni Antichi, Roberto Bifulco.
• 2020 - Preprint (Under Review).
Paul-Marie Carfantan, Omar Costilla-Reyes, Delia Fuhrmann, Jonas Glesaaen, Qi
He, Andreas Kirsch, Julie Lee, Mohammad Malekzadeh, Esben Sørig, Caryn Tan, Emily Turner;
• 2018 - Data Study Group team. (2019, February 5). Data Study Group Final Report: Accenture. Zenodo.
Marziyeh Barghandan, Mohammad Malekzadeh, Atefeh Safdel and Iren Mazloomzadeh.
• 2014 - The IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, China.
Mohammad Malekzadeh, MohammadAmin Fazli, Pooya Jalaly Khalilabadi, Hamid R.
Rabiee, MohammadAli Safari.
• 2011 - The 5th SNA-KDD Workshop ’11 (SNA-KDD’11), USA.
Mohammad Malekzadeh and Mehdy Bohlool.
• 2008 - The 13th National CSI Computer Science , Iran.