I am a Postdoctoral Researcher working on {Machine | Deep | Federated | Privacy-Preserving} Learning 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 have completed my PhD in Computer Science at Queen Mary University of London 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 was focused on privacy-preserving machine learning mechanisms for behavioural data analysis, particularly for motion sensor 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.
Mohammad Malekzadeh, Burak Hasircioglu, Nitish Mital, Kunal Katarya, Mehmet Emre Ozfatura, Deniz Gunduz
• 2021 - The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21)
[Selected as the best submission to the ITU AI/ML in 5G Challenge, sub-challenge Privacy Preserving AI/ML in 5G networks for healthcare applications, ITU-ML5G-PS-022]
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, and Hamed Haddadi.
• 2020 - Preprint (Under Review).
Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris
Demetriou
• 2021 - Preprint (Under Review).
Giuseppe Siracusano, Salvator Galea, Davide Sanvit, Mohammad Malekzadeh, Hamed
Haddadi, Gianni Antichi, Roberto Bifulco.
• 2020 - Preprint (Under Review).
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, and Hamed Haddadi.
• 2020 - Pervasive and Mobile Computing Journal, Elsevier.
Mohammad Malekzadeh, Dimitrios Athanasakis, Hamed Haddadi, and Benjamin Livshits
• 2020 - Conference on Machine Learning and Systems (MLSys), USA.
Edoardo Lisi, Mohammad Malekzadeh, Hamed Haddadi, F. Din-Houn Lau, Seth Flaxman.
• 2020 - Royal Society Open Science Journal, The Royal Society.
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, and Hamed Haddadi.
• 2019 - ACM/IEEE International Conference on Internet-of-Things Design
and Implementation (IoTDI), Canada.
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, and Hamed Haddadi.
• 2018 - In Proceedings of the 1st EuroSys Workshop on Privacy by Design
in
Distributed Systems (W-P2DS), Portugal.
Mohammad Malekzadeh, Richard G. Clegg, and Hamed Haddadi.
• 2018 - ACM/IEEE International Conference on
Internet-of-Things Design and Implementation (IoTDI), USA.
Paul-Marie Carfantan, Omar Costilla-Reyes, Delia Fuhrmann, Jonas Glesaaen, Qi
He, Andreas Kirsch, Julie Lee, Mohammad Malekzadeh, Esben Sørig, Caryn Tan, Emily Turner;
Vinh Quang.
• 2018 - Data Study Group team. (2019, February 5). Data Study Group Final
Report: Accenture. Zenodo.
Reza Gharibi and Mohammad Malekzadeh.
• 2017 - International Journal of Advanced Computer Science and
Applications (IJACSA).
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.