Imperial College London


Faculty of EngineeringDyson School of Design Engineering

Research Postgraduate



+44 (0)7848 379 708e.maali19




Dyson BuildingSouth Kensington Campus





I am a Ph.D. candidate in the Dyson School of Design Engineering at The Faculty of Engineering. I am working under the supervision of Dr.David Boyle. My research in the field of machine learning for a secured IoT environment. In 2017, I completed my MSc in Electromagnetic Sensor Networks at the University of Birmingham. The focus of the Masters was on electromagnetic, antennas, propagation, computer communications networks and RF and microwave engineering. Moreover, I completed my BA in Computer Systems Engineering from Birzeit University in Palestine.



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)


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)


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).