About Me

Mohammad is currently a Visiting PhD Student at Imperial College London working with Dr. Hamed Haddadi. He has started his 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 and Dr. Richard G. Clegg. He is also a member of DataboxProject, an EPSRC project on privacy-aware personal data platform.
His research focuses on machine learning for privacy-preserving data analytics, particularly for time-series data generated by the Internet of Things (IoT) devices. Before joining QMUL, he held the position of Lecturer in Computer Engineering and led three courses at Persian Gulf University, for four years. He was also founder and director of the ICT institute at PGU for two years. Mohammad graduated from Sharif University of Technology with the M.Sc. degree in Information Technology Engineering in the field of Computer Networks.

Publications

[2018] (Ph.D. @ ICL/QMUL)

◉ Protecting Sensory Data against Sensitive Inferences

[PDF]. [Dataset & Code]

Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, and Hamed Haddadi. In Proceedings of the 1st EuroSys Workshop on Privacy by Design in Distributed Systems (W-P2DS 2018), April 23, 2018, Porto, Portugal. (to appear)

[2017] (Ph.D. @ QMUL)

◉ Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis

[PDF]. [Code]

Mohammad Malekzadeh, Richard G. Clegg, and Hamed Haddadi. The 3rd ACM/IEEE International Conference on Internet-of-Things Design and Implementation, 17-20 April, 2018, Orlando, Florida, U.S.A. (to appear)

◉ Towards Privacy-Preserving IoT Data Publishing

[PDF].[Slides]

Mohammad Malekzadeh and Hamed Haddadi. 11th Eurosys Doctoral Workshop (EuroDW’17) ,Belgrade, Serbia, April 23, 2017.

[2016] (Lecturer @ PGU)

◉ Gamified Incentives: A Badge Recommendation Model to Improve User Engagement in Social Networking Websites

[PDF].[Code].[Data]

Reza Gharibi and Mohammad Malekzadeh. International Journal of Advanced Computer Science and Applications(IJACSA), 8(5), 2017.

[2014] (Lecturer @ PGU)

◉ A Multi-Generational Social Learning Model: the Effect of Information Cascade on Aggregate Welfare

[PDF]

Marziyeh Barghandan, Mohammad Malekzadeh, Atefeh Safdel and Iren Mazloomzadeh. The 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, China. August 17-20, 2014.

[2011] (M.S. @ Sharif)

◉ Social Balance and Signed Network Formation Games

[PDF]

Mohammad Malekzadeh, MohammadAmin Fazli, Pooya Jalaly Khalilabadi, Hamid R. Rabiee, MohammadAli Safari. The 5th SNA-KDD Workshop ’11 (SNA-KDD’11), San Diego CA, USA, August 21, 2011.

[2008] (B.S. @ SCU)

◉ Persian CAPTCHA system to prevent automatic subscribing of software robots in web pages

[PDF](Persian)

Mohammad Malekzadeh and Mehdy Bohlool 13th National CSI Computer Science ,Kish, Iran,2008.

Awards

◆ I was awarded a $20000 grant of Microsoft Azure storage and compute for one year in 2018.

◆ I was awarded a grant of $500 covering travel and lodging to top-tier systems conference EuroSys 2017 in Belgrade, Serbia.

◆ I was awarded a Ph.D. studentship, to work on privacy-preserving personal data analytics, from Queen Mary University of London, Life Sciences Initiative in 2017.

◆ I was ranked 1th among more than 30 faculty members of engineering department at Persian Gulf University as the best teacher of the year, 2014.

◆ I was ranked 2th among more than 50 computer engineering students during the bachelor's degree in Shahid Chamran University of Ahvaz, 2008

◆ I was ranked 10th among more than 10,000 participants taking part in the M.Sc. entrance exam of IT Engineering in Iran, 2009.


Services

◇ External Reviewer for World Wide Web (2018).
◇ Shadow PC for EuroSys (2018).

Contact Details

Email:
Click this: m.<my_last_name> (at) imperial.ac.uk

Address:
10-12 Prince's Gardens,
Faculty of Engineering, Dyson School of Design Engineering,
Imperial College London, South Kensington Campus.

Social Media:
           

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