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Publications:  Dr Usman Naeem

Ehatisham-Ul-Haq M, Azam MA, Amin Y, Naeem U(2020). C2FHAR: Coarse-to-Fine Human Activity Recognition With Behavioral Context Modeling Using Smart Inertial Sensors. IEEE Access vol. 8, 7731-7747.
10.1109/access.2020.2964237
https://qmro.qmul.ac.uk/xmlui/handle/123456789/63342
Asim Y, Azam MA, Ehatisham-ul-Haq M, Naeem U, Khalid A(2020). Context-Aware Human Activity Recognition (CAHAR) in-the-Wild Using Smartphone Accelerometer. IEEE Sensors Journal vol. 20, (8) 4361-4371.
10.1109/jsen.2020.2964278
https://qmro.qmul.ac.uk/xmlui/handle/123456789/63341
Naeem U, Islam S, Siddiqui A (2019). An effective framework for enhancing student engagement and performance in final year projects. IEEE Global Engineering Education Conference, EDUCON. vol. April-2019, 401-410.
10.1109/EDUCON.2019.8725253
https://qmro.qmul.ac.uk/xmlui/handle/123456789/56672
Hussain RG, Ghazanfar MA, Azam MA, Naeem U, Rehman SU(2019). A performance comparison of machine learning classification approaches for robust activity of daily living recognition. Artificial Intelligence Review vol. 52, Article 1, 357-379.
Guinea AS, Seeliger A, Pejovi¿ V, Naeem U, Scholl PM, Mihale-Wilson C, Di Lascio E, Azam MA et al. (2019). UPA’19: 4th international workshop on ubiquitous personal assistance. Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. 1099-1101.
10.1145/3341162.3347755
Ihianle I, Naeem U, Islam S, Tawil A-R (2018). A hybrid approach to recognising activities of daily living from object use in the home environment. Informatics. vol. 5, 6-6.
Ehatisham-ul-Haq M, Azam MA, Naeem U, Amin Y, Loo J(2018). Continuous authentication of smartphone users based on activity pattern recognition using passive mobile sensing. Journal of Network and Computer Applications vol. 109, 24-35.
Sharif MS, Naeem U, Islam S, Karami A (2018). Functional Connectivity Evaluation for Infant EEG Signals Based on Artificial Neural Network. Proceedings of SAI Intelligent Systems Conference. 426-438.
Pizzamiglio S, Abdalla H, Naeem U, Turner DL(2018). Neural predictors of gait stability when walking freely in the real-world. Journal of neuroengineering and rehabilitation vol. 15, Article 1, 11-11.
Okoye K, Islam S, Naeem U(2018). Ontology: core process mining and querying enabling tool. Ontology in Information Science145-168.
Azam MA, Shahzadi A, Khalid A, Anwar SM, Naeem U (2018). Smartphone Based Human Breath Analysis from Respiratory Sounds. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 445-448.
Okoye K, Islam S, Naeem U, Sharif MS, Azam MA, Karami A (2018). The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain. Proceedings of SAI Intelligent Systems Conference. 1381-1403.
Meurisch C, Scholl PM, Naeem U, Pejovi¿ V, Müller F, Di Lascio E, Kuo P-YP, Kauschke S et al. (2018). UPA’18: 3rd International Workshop on Ubiquitous Personal Assistance. Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. 766-769.
Pizzamiglio S, Naeem U, Abdalla H, Turner DL(2017). Neural Correlates of Single- and Dual-Task Walking in the Real World. Frontiers in Human Neuroscience vol. 11,
10.3389/fnhum.2017.00460
https://qmro.qmul.ac.uk/xmlui/handle/123456789/54083
Ehatisham-ul-Haq M, Azam MA, Loo J, Shuang K, Islam S, Naeem U, Amin Y(2017). Authentication of Smartphone Users Based on Activity Recognition and Mobile Sensing. Sensors vol. 17, (9) 2043-2043.
10.3390/s17092043
https://qmro.qmul.ac.uk/xmlui/handle/123456789/54068
Pizzamiglio S, Naeem U, Ur Réhman S, Sharif MS, Abdalla H, Turner DL(2017). A mutlimodal approach to measure the distraction levels of pedestrians using mobile sensing. Procedia computer science vol. 113, 89-96.
Islam S, Naeem U, Sharif MS, Dovnarovic A (2017). CrimeSafe: helping you stay safe. Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers. 642-645.
Pizzamiglio S, De Lillo M, Naeem U, Abdalla H, Turner DL(2017). High-frequency intermuscular coherence between arm muscles during robot-mediated motor adaptation. Frontiers in physiology vol. 7, 668-668.
Ehatisham-ul-Haq M, Azam MA, Naeem U, ur R¿hman S, Khalid A(2017). Identifying Smartphone Users based on their Activity Patterns via Mobile Sensing. Procedia computer science vol. 113, 202-209.
Khan MSL, ur Réhman S, Mi Y, Naeem U, Beskow J, Li H (2017). Moveable Facial Features in a Social Mediator. International Conference on Intelligent Virtual Agents. 205-208.
Ihianle IK, Naeem U, Islam S (2017). Ontology-driven activity recognition from patterns of object use. UbiComp/ISWC Adjunct. 654-657.
Okoye Dr K, Naeem Dr U, Islam Dr S, Abdel-Rahman H, Lamine Dr E(2017). Process Models Discovery and Traces Classification: A Fuzzy-BPMN Mining Approach. Journal of International Technology and Information Management vol. 26, Article 4, 2-50.
Ihianle IK, Naeem U, Islam S, Tawil A-R(2017). Recognising activities of daily living from patterns of object use. International Journal of Hybrid Intelligent Systems vol. 14, Article 3, 193-208.
Okoye K, Naeem U, Islam S(2017). Semantic Fuzzy Mining: Enhancement of process models and event logs analysis from Syntactic to Conceptual Level. International Journal of Hybrid Intelligent Systems vol. 14, Article 1-2, 67-98.
Islam S, Sharif MS, Naeem U, Geehan J (2017). SignalSense: towards quality service. UbiComp/ISWC Adjunct. 627-630.
Meurisch C, Naeem U, Scholl PM, Azam MA, Günther S, Baumann P, Mühlhäuser M, others (2017). SmartGuidance’17: 2nd workshop on intelligent personal support of human behavior. Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers. 623-626.
Naeem U, Islam S, Sharif MS, Sudakov S, Azam MA (2017). Taskification: gamification of tasks. Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers. 631-634.
Ali W, Azam MA, Naeem U, Ghazanfar MA, Khalid A, Amin Y(2017). Variance Based Pattern Detection for Inferring Activities of Daily Living. The Nucleus vol. 54, Article 2, 127-134.
Nasreen S, Azam MA, Naeem U, Ghazanfar MA, Khalid A(2016). Recognition Framework for Inferring Activities of Daily Living Based on Pattern Mining. Arabian Journal for Science and Engineering vol. 41, (8) 3113-3126.
10.1007/s13369-016-2091-9
Okoye K, Tawil A-RH, Naeem U, Lamine E(2016). A semantic reasoning method towards ontological model for automated learning analysis. Advances in Nature and Biologically Inspired Computing, Springer, Cham
Raana A, Azam MA, Ghazanfar MA, Javed A, Amin Y, Naeem U(2016). C++ BUG CUB: Logical Bug Detection for C++ Code. Nucleus vol. 53, Article 1, 56-63.
Okoye K, Tawil A-RH, Naeem U, Lamine E(2016). Discovery and Enhancement of Learning Model Analysis through Semantic Process Mining*. International Journal of Computer Information Systems and Industrial Management Applications vol. 8, Article 2016, 93-114.
Kingsley O, Tawil A-R, Naeem U, Lamine E(2016). Discovery and enhancement of learning model analysis through semantic process mining.
Naeem U, Tawil A-R, Semelis I, Azam MA, Ghazanfar MA (2016). Inference Engine Based on a Hierarchical Structure for Detecting Everyday Activities Within the Home. Proceedings of SAI Intelligent Systems Conference. 969-986.
Ihianle IK, Naeem U, Tawil A-R(2016). Recognition of activities of daily living from topic model. Procedia Computer Science vol. 98, 24-31.
Ihianle IK, Naeem U, Tawil A-R, Azam MA (2016). Recognizing activities of daily living from patterns and extraction of web knowledge. Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. 1255-1262.
Okoye K, Tawil A-RH, Naeem U, Islam S, Lamine E (2016). Semantic-based model analysis towards enhancing information values of process mining: Case study of learning process domain. International Conference on Soft Computing and Pattern Recognition. 622-633.
Meurisch C, Naeem U, Azam MA, Janssen F, Schmidt B, Mühlhäuser M (2016). Smarticipation: intelligent personal guidance of human behavior utilizing anticipatory models. Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. 1227-1230.
Kingsley O, Tawil A-RH, Naeem U, Islam S, Lamine E (2016). Using semantic-based approach to manage perspectives of process mining: Application on improving learning process domain data. 2016 IEEE International Conference on Big Data (Big Data). 3529-3538.
Zahra S, Ghazanfar MA, Khalid A, Azam MA, Naeem U, Prugel-Bennett A(2015). Novel centroid selection approaches for KMeans-clustering based recommender systems. Information Sciences vol. 320, 156-189.
10.1016/j.ins.2015.03.062
https://qmro.qmul.ac.uk/xmlui/handle/123456789/54086
Nasreen S, Azam MA, Naeem U, Ghazanfar MA (2015). Inference of activities with unexpected actions using pattern mining. UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers. 1479-1488.
10.1145/2800835.2801619
Kennedy II, Naeem U, Tawil A-R(2015). A dynamic segmentation based activity discovery through topic modelling.
Naeem U, Bashroush R, Anthony R, Azam MA, Tawil AR, Lee SW, Wong MLD(2015). Activities of daily life recognition using process representation modelling to support intention analysis. International Journal of Pervasive Computing and Communications vol. 11, Article 3, 347-371.
Kingsley O, Tawil A-R, Naeem U, Lamine E (2015). Process mining towards automated learning: a semantic rule-based approach.
Okoye K, Tawil ARH, Naeem U, Lamine E (2015). Semantic Process Mining Towards Discovery and Enhancement of Learning Model Analysis. 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems. 363-370.
Naeem U, Anthony R, Tawil A-R, Azam MA, Preston D(2015). The role of ambient intelligent environments for tracking functional decline. Assistive Technologies for Physical and Cognitive Disabilities, IGI Global
Okoye K, Tawil A-RH, Naeem U, Bashroush R, Lamine E(2014). A semantic rule-based approach supported by process mining for personalised adaptive learning. Procedia Computer Science vol. 37, 203-210.
Okoye K, Tawil ARH, Naeem U, Bashroush R, Lamine E (2014). A semantic rule-based approach towards process mining for personalised adaptive learning. 2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC, CSS, ICESS). 929-936.
Mann KS, Bansal EA, Sokullu R, Demir E, Galvan-Tejada CE, Garcia-Vazquez JP, Galvan-Tejada JI, Delgado JR et al.(2014). EUSPN 2014 Papers. Proceedings/Procedia Computer Science vol. 37, 1-5.
Nasreen S, Azam MA, Shehzad K, Naeem U, Ghazanfar MA (2014). Frequent pattern mining algorithms for finding associated frequent patterns for data streams: A survey. Procedia Computer Science. vol. 37, 109-116.
10.1016/j.procs.2014.08.019
Naeem U, Tawil A-RH, Semelis I, Judah G, Aunger R (2014). Inference of Hygiene Behaviours While Recognising Activities of Daily Living. Proceedings of the 3rd International Conference on Context-Aware Systems and Applications. 154-161.
Tawil A-RH, Taweel A, Naeem U, Montebello M, Bashroush R, Al-Nemrat A(2014). Integration operators for generating RDF/OWL-based user defined mediator views in a grid environment. Journal of Intelligent Information Systems vol. 43, Article 1, 1-32.
Lee SW, Naeem U, Anthony R, Tawil AH, Azam MA, Preston D, others(2014). Tracking functional decline using ambient intelligence for Alzheimer’s patients.
Lau BT, Wong MLD, Naeem U, Lee SW(2013). An Indoor Prototype Framework for Recognition of Activities of Daily Life. 한국재활복지공학회 학술대회 논문집94-97.
Azam MA, Loo J, Naeem U, Adeel M(2013). Recognising indoor/outdoor activities of low entropy people using Bluetooth proximity and object usage data. International Journal of Pervasive Computing and Communications
Sarantinos N, Al-Nemrat A, Naeem U (2013). Statistical Sampling Approach to Investigate Child Pornography Cases. 2013 Fourth Cybercrime and Trustworthy Computing Workshop. 22-29.
Azam MA, Loo J, Naeem U, Khan SKA, Lasebae A, Gemikonakli O (2012). A framework to recognise daily life activities with wireless proximity and object usage data. 23rd IEEE International Symposium on Personal, Indoor and Mobile Radio Communication 2012. 590-595.
Naeem U, Tawil A, Bashroush R, Al-Nemrat A (2012). Achieving Model Completeness for Hierarchally Structured Activities of Daily Life. Proceedings of the 2nd International Conference on Pervasive and Embedded Computing and Communication Systems PECCS 2012.
Awais Azam M, Loo J, Kashif Ashraf Khan S, Naeem U, Adeel M, Ejaz W(2012). Behavioural patterns analysis of low entropy people using proximity data. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications vol. 3, (3) 21-40.
Naeem U (2009). A hierarchal framework for recognising activities of daily life.
Naeem U, BIGHAM J(2009). Activity Recognition in the Home using a Hierarchal Framework with Object Usage Data. Journal of Ambient Intelligence and Smart Environments vol. 1, (4) 335-350.
10.3233/AIS-2009-0042
Naeem U, BIGHAM J (2009). Recognising Activities of Daily Life through the Usage of Everyday Objects around the Home. Proceedings of the 3rd International Conference on Pervasive Computing Technologies for Healthcare, Technologies to Counter Cognitive Decline Workshop.
Naeem U, Bigham J (2008). A Hierarchal Approach to Activity Recognition in the Home Environment based on Object Usage. Proceedings of the 2008 Networking and Electronic Commerce Research Conference (NAEC 2008), Lake Garda, Italy, 2008, pp.
Naeem U, Bigham J (2008). Activity Recognition using a Hierarchical Framework. 2008 2ND INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING TECHNOLOGIES FOR HEALTHCARE. 23-26.
Naeem U, Bigham J (2008). Activity recognition using a hierarchical framework. 2008 Second International Conference on Pervasive Computing Technologies for Healthcare. 24-27.
Naeem U, Bigham J (2007). A comparison of two hidden Markov approaches to task identification in the home environment. 2007 2ND INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND APPLICATIONS, VOLS 1 AND 2. 383-388.
10.1109/ICPCA.2007.4365473
Naeem U, Bigham J, Wang JF (2007). Recognising activities of daily life using hierarchical plans. Smart Sensing and Context, Proceedings. Editors: Kortuem, G, Finney, J, Lea, R, Sundramoorthy, V et al., vol. 4793, 175-189.
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