Dr Usman Naeem
Senior Lecturer School of Architecture, Computing and Engineering
Architecture, Computing and Engineering (ACE)
Dr Usman Naeem PhD(Lon) BSc(Lon) FHEA is a senior lecturer at the ACE (University of East London, UK) and received his PhD from Queen Mary University of London in 2009. His research focus is on assistive technologies to support independent living for elderly community, which includes machine learning techniques, mobile computing, and ambient intelligent environments.
Pervasive/Ubiquitous Computing, Machine Learning, Semantic Reasoning, Activity Recognition, Task Recognition, RFID Sensors and Networks, Object Usage, Activities of Daily Life (ADL) modelling, Context Awareness, Assisted Living, Smart Homes and Environments.
ADL (Activities of Daily Living) Recognition Project
Smart environments have become an emergent solution for carrying out activity recognition and providing services and assistance based on the findings of the recognition that has been conducted, e.g. switching on the music whilst the person is having evening meal. The capability of being able to monitor everyday activities in a smart environment is seen as a key approach for tracking functional decline among elderly people.
Awards, Fellowships, Grants
Annual Fund Start-Up Research Grant 2010/2011 (£2,000)
UEL Early Career Researcher Accelerator Fund 2011/12 (£5,000)
UEL Researcher Accelerator Fund 2012/13 (£5,000)
Reviewer for a number of conference and journals, such as:
ACM Computing Surveys
IEEE Communications Magazine
Cross-disciplinary collaboration with School of Health, Sports and Bioscience (UEL)
Project: Brain Training and Its Role in Robot-Assisted Neurorehabilitation
Development of cloud based system for analysing behaviour of stroke patients
Collaborative research work with the following universities:
Swinburne University, Malaysia
Greenwich University, United Kingdom
Fellow of the Higher Education Academy, UK
Member of IEEE
Member of IET
R. Bashroush, U. Naeem, K. Hadji, D. Preston, “InstaFeedback: A Mobile System for Enhancing Student Feedback in Higher Education”, IEEE Transactions on Learning Technologies [Under Review].
A.H. Tawil, A. Taweel, U. Naeem, M. Montebello, R. Bashroush and A. Al-Nemrat “Integration operators for generating RDF/OWL-based user defined mediator views in a grid environment”, Journal of Intelligent Information Systems, 2014.
N. Sarantinos, A. Al-Nemrat, U. Naeem, “Statistical Sampling Approach to Investigate Child Pornography Cases” in Proceedings of the Fourth Cybercrime and Trustworthy Computing Workshop, Sydney, 2013.
T. B Lau, D.M.L Wong, U. Naeem, S.W Lee, “An Indoor Prototype Framework for Recognition of Activities of Daily Life” in Proceedings of the 7th Conference on Rehabilitation Engineering and Assistive Technology Society of Korea 2013 (Seoul, Korea), 2013.
M.A Azam, J. Loo, U. Naeem and M. Adeel, "Recognising indoor/outdoor activities of low entropy people using Bluetooth proximity and object usage data", International Journal of Pervasive Computing and Communications, Vol. 9 Iss: 4, 2013.
M.A Azam, J. Loo, S.K.A. Khan, U. Naeem and W. Ejaz, “Behavioural Patterns Analysis of Low Entropy People Using Proximity Data”, Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA), 2012.
M.A. Azam, J. Loo and U. Naeem, “A Framework to Recognise Daily Life Activities with Wireless” in Proceedings of the 23rd IEEE International Symposium on Personal, Indoor and Mobile Radio Communication 2012.
U. Naeem, A.H Tawil, R. Bashroush and A. Al-Nemrat “Achieving Model Completeness for Hierarchally Structured Activities of Daily Life” in Proceedings of the 2nd International Conference on Pervasive and Embedded Computing and Communication Systems, Rome, 2012.
U. Naeem, J. Bigham, “Activity Recognition in the Home using a Hierarchal Framework with Object Usage Data”, Journal of Ambient Intelligence and Smart Environments, IOS Press, 2009
U. Naeem, J. Bigham, “Recognising Activities of Daily Life through the Usage of Everyday Objects around the Home” in Proceedings of the 3rd International Conference on Pervasive Computing Technologies for Healthcare, Technologies to Counter Cognitive Decline Workshop, London, March 2009
U. Naeem, J. Bigham, “A Hierarchal Approach to Activity Recognition in the Home Environment based on Object Usage” in Proceedings of the 2008 Networking and Electronic Commerce Research Conference (NAEC 2008), Lake Garda, Italy, 2008, pp. 48-54.
M. Ghazanfar, S.Zahra, A.Khalid, M.Azam, U. Naeem, A.Prugel-Bennett,"Novel Centroid Selection Approaches for KMeans-Clustering Based Recommender Systems", Information Sciences, 2015 [Accepted]
U. Naeem, J. Bigham, “Activity Recognition using a Hierarchical Framework” in Proceedings of the 2nd International Conference on Pervasive Computing Technologies for Healthcare, Ambient Technologies for Diagnosing and Monitoring Chronic Patients Workshop, Tampere, Finland, 2008, pp. 24-27.
U. Naeem, J. Bigham, J. Wang, “Recognising Activities of Daily Life Using Hierarchical Plans” in Proceedings of the 2nd European Conference on Smart Sensing and Context, LNCS 4793, Lake District, UK, 2007, pp. 175-189.
U. Naeem, J. Bigham, “A Comparison of Two Hidden Markov Approaches to Task Identification in the Home Environment” in Proceedings of the 2nd International Conference on Pervasive Computing and Applications, Birmingham, UK, 2007, pp. 383-388.
U. Naeem, R. Bashroush, R. Anthony, M. Azam, A.R. Tawil, S.W. Lee, D. M.L Wong, “Activities of Daily Life Recognition using Process Representation Modelling to Support Intention Analysis”,International Journal of Pervasive Computing and Communications,vol.11, issue 4, 2015.
U.Naeem, A.H. Tawil, I. Semelis, G. Judah, R. Aunger, “Inference of Hygiene Behaviours While Recognising Activities of Daily Living,” in Proceedings of the 4th International Workshop on Pervasive and Context-Aware Middleware, Dubai, 2014.
K. Okoye, A.H. Tawil, U. Naeem, R. Bashroush, E.Lamine, “A Semantic Rule-Based Approach Supported by Process Mining for Personalised Adaptive Learning,” in Proceedings of the 16th IEEE International Conference on High Performance Computing and Communications, First International Workshop on Algorithmic and Modeling, Paris, 2014
K. Okoye, A.H. Tawil, U. Naeem, R. Bashroush, E.Lamine, “A Semantic Rule-Based Approach Supported by Process Mining for Personalised Adaptive Learning,” in Proceedings of the 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, Canada, 2014.
S. Nasreen, M.A. Azam, K. Shehzad, U. Naeem, M.A. Ghazanfar, “Frequent Pattern Mining Algorithms for Finding Associated Frequent Patterns for Data Streams: A Survey” in Proceedings of the 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, Canada, 2014.
U. Naeem, R. Anthony, A.H. Tawil, M.A. Azam and D. Preston, “Approaches for Tracking Functional Decline using Ambient Intelligence”, Assistive Technologies for Physical and Cognitive Disabilities, Advances in Medical Technologies and Clinical Practice (AMTCP) Books Series Chapter, IGI Global, 2014.
S.W. Lee, U. Naeem, R. Anthony, A.H. Tawil, M.A. Azam and D. Preston, “Tracking Functional Decline Using Ambient Intelligence for Alzheimer’s Patients” in Proceedings of the 19th International Conference on Transformative Research in Science and Engineering, Business and Social Innovation, Malaysia, 2014.
Since joining UEL, Usman has led and taught on a number of modules (courses), including:
Introduction to Computer Systems
Introduction to Computer Systems and Networks
Introduction to Computer Networks and Security
Design and Application of Mobile Computing Systems
Isibor Kennedy Ihianle (A Semantically Enhanced Approach to Risk Assessment and Safety for People with Dementia)
Nigar Jebraeili (Energy-Efficiency in Data Centres)
Muhammad Garba (Variability Management in SPL)
Umaima Haidar (Software Architecture)