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Amr Rashad Ahmed Abdullatif

Lecturer in Computer Science

Faculty/Dept/School Department of Computer Science
(Faculty of Engineering and Informatics)
Telephone +441274 232262


Dr. Amr abdullatif is an experienced researcher proficient in research and developing of machine learning and deep learning techniques with a demonstrated history of working in the different companies (GE Oil & Gas, Ansaldo, Bombardier, …), and universities (Bradford, PISA, Scuola Superiore Sant'Anna, Genoa, Cairo, AASTMT, …) . His research interests focuses on Artificial Intelligence techniques applied in Automotive Industry (e.g. prognostics and health management), Oil & Gas Digital Transformation, Computer vision, Natural Language Processing (NLP), Predictive Diagnostic, Health-care, and Online Learning from non-stationary Data Streams. He is currently working as a Lecturer at Bradford university. Formerly was leading machine learning projects at Baker Hughes, a GE company as a research fellow.


Dr. Amr Abdullatif is a Lecturer in Computer Science. He has extensive industry experience (e.g. General Electric, Bombardier and Ansaldo Energy). His research interests focus on machine learning, predictive diagnostics and online learning from data streams.


Peer Reviewed Journal
TitleClustering of nonstationary data streams: A survey of fuzzy partitional methods (2018)
AuthorsAbdullatif A.;Masulli F.;Rovetta S.
JournalWiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
TitleTracking Time Evolving Data Streams for Short-Term Traffic Forecasting (2017)
AuthorsAbdullatif A.;Masulli F.;Rovetta S.
JournalData Science And Engineering
Book Chapter
TitleGraded possibilistic clustering of non-stationary data streams (2017)
AuthorsAbdullatif A.;Masulli F.;Rovetta S.;Cabri A.
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer, Cham
Other Publication
Other typeArticle
TitleHubs and communities identification in dynamical financial networks (2015)
AuthorsMahmoud H.;Masulli F.;Resta Marina M.;Rovetta S.;Abdulatif A.
JournalSmart Innovation, Systems and Technologies
Title Author(s)
Comparison of methods for community detection in networks (2016)Mahmoud H.;Masulli F.;Rovetta S.;Abdullatif A.
Layered ensemble model for short-term traffic flow forecasting with outlier detection (2016)Abdullatif A.;Rovetta S.;Masulli F.