DrEman Maali

I joined the Computational Privacy Group at Imperial College London in June 2025 as a Research Fellow. Working with Yves-Alexandre de Montjoye. I work at the intersection of privacy, security, and machine learning. My research interests are broadly within security, privacy, and machine learning, including privacy attacks against machine learning models and data releases such as anonymisation.

I was awarded my PhD in May 2025 at the Adaptive Emergent Systems Engineering Laboratory (AESE) in the Department of Computing at Imperial College London, under the supervision of Professor Julie McCann. My doctoral research focused on securing IoT environments through machine learning-based device identification and anomaly detection.

In 2017, I completed my MSc in Electromagnetic Sensor Networks at the University of Birmingham, where I specialised in electromagnetics, antennas, propagation, computer communications networks, and RF and microwave engineering. Before that, I earned my BA in Computer Systems Engineering from Birzeit University in Palestine.

PUBLICATIONS

2025
Eman Maali, Omar Alrawi, and Julie McCann. "Evaluating IoT Device Identification Machine Learning Models for Network Deployment". In Proceedings of the 32nd Network and Distributed System Security Symposium (NDSS), Feb 2025

2020
Eman Maali, David Boyle, and Hamed Haddadi. 2020. "Towards identifying IoT traffic anomalies on the home gateway: poster abstract". In Proceedings of the 18th Conference on Embedded Networked Sensor Systems (SenSys '20). Association for Computing Machinery, New York, NY, USA, 735–736. (PDF)

2019
Mr. Aziz Qaroush, Dr. Mahdi Washaha, Miss Eman Maali, Mr. Ibrahim Abu Farah. “An Efficient Extractive Single document Arabic Text Summarization using a Combination of Statistical and Semantic Features with Novel Representation”. Submitted to Journal of King Saud University(Published)

2018
Mr. Aziz Qaroush, Mr. Bassam Jaber, Dr. Khader Awwad, Dr. Mahdi Washah, Miss Eman Maali, Dr.Nibal Nayef. “An Efficient, Font Independent Word and Character Segmentation Algorithm for Printed Arabic Text”, submitted to Arabian Journal for Science and Engineering (Under Review).