Conference and Workshop Papers
K. Okoye, U. Naeem, S. Islam, M.A. Azam, A. Karami and M.S. Sharif, “The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain,” in SAI Intelligent Systems (IntelliSys) Conference, London, 2018 (Accepted)
M.S. Sharif, U. Naeem, S. Islam and A. Karami, “Functional Connectivity Evaluation for Infant EEG Signals Based on Artificial Neural Network,” in SAI Intelligent Systems (IntelliSys) Conference, London, 2018 (Accepted)
R. G. Hussain, M. A. Azam, M. A. Ghazanfar, U. Naeem and C. Meurisch, “Smartphone based Robust Hierarchical Framework for Activity Recognition based on Machine Learning,” in Future Technologies Conference, Vancouver, 2017.
S. Islam, U. Naeem, M.S. Sharif and A. Dovnarovic, “CrimeSafe - Helping you stay safe,” in ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2017), 2nd workshop on intelligent personal support of human behaviour - SmartGuidance'17, Maui, 2017, pp.642-645.
I.K. Ihianle, U. Naeem and S. Islam, “Ontology-Driven Activity Recognition from Patterns of Object Use,” in ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2017), 2nd workshop on intelligent personal support of human behaviour - SmartGuidance'17, Maui, 2017, pp.654-657.
S. Islam, M.S. Sharif, U. Naeem and J. Geehan, “SignalSense: towards quality service,” in ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2017), 2nd workshop on intelligent personal support of human behaviour - SmartGuidance'17, Maui, 2017, pp.627-630.
U. Naeem, S. Islam, M.S. Sharif, S. Sudakov and M.A. Azam, “Taskification: gamification of tasks,” in ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2017), 2nd workshop on intelligent personal support of human behaviour - SmartGuidance'17, Maui, 2017, pp.631-634.
M.S.L. Khan, S.U. Réhman, Y. Mi, U. Naeem, J. Beskow and H. Li, “Moveable Facial Features in a Social Mediator,” in International Conference on Intelligent Virtual Agents, Stockholm, 2017, pp.205-208.
S. Pizzamiglio, U. Naeem, S.U. Réhman, M.S. Sharif, H. Abdalla and D.L. Turner, “A Multimodal Approach to Measure the Distraction Levels of Pedestrians using Mobile Sensing,” in 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, Lund, 2017, pp. 89-96.
M. Ehatisham-ul-Haq, M.A. Azam, U. Naeem, S.U. Rѐhman and A. Khalid, “Identifying Smartphone Users based on their Activity Patterns via Mobile Sensing,” in 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, Lund, 2017, pp.202-209.
K. Okoye, A.H. Tawil, U. Naeem, S. Islam and E.Lamine, “Semantic-based Model Analysis towards Enhancing Information Values of Process Mining: Case Study of Learning Process Domain,” in International Conference on Soft Computing and Pattern Recognition, India, 2016, pp.622-633.
K. Okoye, A.H. Tawil, U. Naeem, S. Islam and E.Lamine, “Using semantic-based approach to manage perspectives of process mining: Application on improving learning process domain data,” in IEEE International Conference on Big Data, Washington, 2016, pp.3529-3538.
U. Naeem, A.R. Tawil, I. Semelis, M.A. Azam and M.A Ghazanfar, “Inference Engine based on a Hierarchical Structure for Detecting Everyday Activities within the Home,” in SAI Intelligent Systems (IntelliSys) Conference, London, 2016, pp.969-986.
I.K. Ihianle, U. Naeem and A.R. Tawil, “Recognition of Activities of Daily Living from Topic Model,” in 7th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, London, 2016.pp.24-31.
I.K. Ihianle, U. Naeem, A.R. Tawil and M.A. Azam, “Recognizing activities of daily living from patterns and extraction of web knowledge,” in ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016), 1st International Workshop on Smarticipation: intelligent personal guidance of human behavior utilizing anticipatory models, Heidelberg, 2016, pp.1255-1262.
I.K. Ihianle, U. Naeem, and A.H. Tawil. "A dynamic segmentation based activity discovery through topic modelling," in IET International Conference on Technologies for Active and Assisted Living (TechAAL), London, 2015, pp.1-6.
S. Nasreen, M.A. Azam, U. Naeem and M.A Ghazanfar, “Inference of activities with unexpected actions using pattern mining,” in ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), 3rd International Workshop on Human Activity Sensing Corpus and its Application, Japan, 2015, pp.1479-1488.
K. Okoye, A.H. Tawil, U. Naeem and E.Lamine, "Semantic Process Mining Towards Discovery and Enhancement of Learning Model Analysis," in 17th IEEE International Conference on High Performance Computing and Communications, New York, 2015, pp.363-370.
U. Naeem, A.H. Tawil, I. Semelis, G. Judah and R. Aunger, “Inference of Hygiene Behaviours While Recognising Activities of Daily Living,” in 3rd International Conference on Context-Aware Systems and Applications, 4th International Workshop on Pervasive and Context-Aware Middleware, Dubai, 2014, pp.154-161.
K. Okoye, A.H. Tawil, U. Naeem, R. Bashroush and E.Lamine, “A Semantic Rule-Based Approach Towards Process Mining for Personalised Adaptive Learning,” in 16th IEEE International Conference on High Performance Computing and Communications, 1st International Workshop on Algorithmic and Modeling, Paris, 2014, pp.929-936.
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 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, Canada, 2014, pp.203-210.
S. Nasreen, M.A. Azam, K. Shehzad, U. Naeem and M.A. Ghazanfar, “Frequent Pattern Mining Algorithms for Finding Associated Frequent Patterns for Data Streams: A Survey,” in 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, Canada, 2014, pp.109-116.
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 19th International Conference on Transformative Research in Science and Engineering, Business and Social Innovation, Malaysia, 2014, pp.1-9.
N. Sarantinos, A. Al-Nemrat and U. Naeem, “Statistical Sampling Approach to Investigate Child Pornography Cases,” in 4th Cybercrime and Trustworthy Computing Workshop, Sydney, 2013, pp.22-29.
T. B. Lau, D.M.L. Wong, U. Naeem and S.W. Lee, “An Indoor Prototype Framework for Recognition of Activities of Daily Life,” in 7th Conference on Rehabilitation Engineering and Assistive Technology Society of Korea, Korea, 2013, pp.94-97.
M.A. Azam, J. Loo, U. Naeem, S. K. A. Khan, A. Lasebae and O. Gemikonakli, “A Framework to Recognise Daily Life Activities with Wireless Proximity and Object Usage Data,” in 23rd IEEE International Symposium on Personal, Indoor and Mobile Radio Communication, Sydney, 2012, pp.590-595.
U. Naeem, A.H. Tawil, R. Bashroush and A. Al-Nemrat, “Achieving Model Completeness for Hierarchally Structured Activities of Daily Life,” in 2nd International Conference on Pervasive and Embedded Computing and Communication Systems, Rome, 2012.
U. Naeem and J. Bigham, “Recognising Activities of Daily Life through the Usage of Everyday Objects around the Home,” in 3rd International Conference on Pervasive Computing Technologies for Healthcare, Technologies to Counter Cognitive Decline Workshop, London, 2009, pp.1-4.
U. Naeem and J. Bigham, “A Hierarchal Approach to Activity Recognition in the Home Environment based on Object Usage,” in Networking and Electronic Commerce Research Conference (NAEC 2008), Italy, 2008, pp.48-54.
U. Naeem and J. Bigham, “Activity Recognition using a Hierarchical Framework,” in 2nd International Conference on Pervasive Computing Technologies for Healthcare, Ambient Technologies for Diagnosing and Monitoring Chronic Patients Workshop, Finland, 2008, pp.24-27.
U. Naeem, J. Bigham and J. Wang, “Recognising Activities of Daily Life Using Hierarchical Plans,” in 2nd European Conference on Smart Sensing and Context, UK, 2007, pp.175-189.
U. Naeem and J. Bigham, "A Comparison of Two Hidden Markov Approaches to Task Identification in the Home Environment," in 2nd International Conference on Pervasive Computing and Applications, Birmingham, 2007, pp.383-388.
PUBLICATIONS
Conference and Workshop Papers
U. Naeem and L. Bosman. "Learner Engagement Analytics in a Hybrid Learning Environment". IEEE Global Engineering Education Conference (EDUCON), pp. 1-7, Kuwait, 2023
U. Naeem, L. Bosman and C. Revell. "mySkills - A Reflective Framework for Employability Skills". IEEE Global Engineering Education Conference (EDUCON), pp. 1-6, Kuwait, 2023
U. Naeem, L. Bosman, and S.S. Gill. "Teaching and Facilitating an Online Learning Environment for a Web Programming Module". IEEE Global Engineering Education Conference (EDUCON), pp. 769-774, March 2022
L. Bosman, U. Naeem, and E. Padumadasa, "Entrepreneurially-Minded Program Assessment During Emergency Situations: Using Photovoice to Understand Customer (Engineering Student) Needs". Research in Engineering Education Symposium & Australasian Association for Engineering Education Conference, December, 2021
L. Bosman, E. Wollega, and U.Naeem, "HyFlex, Hybrid, and Virtual Synchronous Teaching in the Engineering Classroom: An Autoethnographic Approach". American Society for Engineering Education, July, 2021
M. Ehatisham-ul-Haq, M.A. Azam, Y. Asim, Y. Amin, U. Naeem and A. Khalid, “Using Smartphone Accelerometer for Human Physical Activity and Context Recognition in-the-Wild,” EUSPN 2020: International Conference on Emerging Ubiquitous Systems and Pervasive Networks, 2020
M. Ehatisham-ul-Haq, M.N. Malik, M.A. Azam, U. Naeem, A. Khalid and M.A Ghazanfar, “Identifying Users with Wearable Sensors based on Activity Patterns,” EUSPN 2020: International Conference on Emerging Ubiquitous Systems and Pervasive Networks, 2020
N. Qamar, N, Siddiqui, M. Ehatisham-ul-Haq, M.A. Azam and U. Naeem, “An Approach towards Position-Independent Human Activity Recognition Model based on Wearable Accelerometer Sensor,” EUSPN 2020: International Conference on Emerging Ubiquitous Systems and Pervasive Networks, 2020
U. Naeem, S. Islam and A. Siddiqui, “Improving Student Engagement and Performance in Computing Final Year Projects," International Conference on Engineering, Technology and Education (TALE 2019)
U. Naeem, S. Islam and A. Siddiqui, "An Effective Framework for Enhancing Student Engagement and Performance in Final Year Projects," 2019 IEEE Global Engineering Education Conference (EDUCON), Dubai, United Arab Emirates, 2019, pp. 401-410
M. A. Azam, A. Shahzadi, A. Khalid, S. M. Anwar and U. Naeem, "Smartphone Based Human Breath Analysis from Respiratory Sounds," 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, 2018, pp. 445-448
K. Okoye, U. Naeem, S. Islam, M.A. Azam, A. Karami and M.S. Sharif, “The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain,” in SAI Intelligent Systems (IntelliSys) Conference, London, 2018
M.S. Sharif, U. Naeem, S. Islam and A. Karami, “Functional Connectivity Evaluation for Infant EEG Signals Based on Artificial Neural Network,” in SAI Intelligent Systems (IntelliSys) Conference, London, 2018
R. G. Hussain, M. A. Azam, M. A. Ghazanfar, U. Naeem and C. Meurisch, “Smartphone based Robust Hierarchical Framework for Activity Recognition based on Machine Learning,” in Future Technologies Conference, Vancouver, 2017.
S. Islam, U. Naeem, M.S. Sharif and A. Dovnarovic, “CrimeSafe - Helping you stay safe,” in ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2017), 2nd workshop on intelligent personal support of human behaviour - SmartGuidance'17, Maui, 2017, pp.642-645.
I.K. Ihianle, U. Naeem and S. Islam, “Ontology-Driven Activity Recognition from Patterns of Object Use,” in ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2017), 2nd workshop on intelligent personal support of human behaviour - SmartGuidance'17, Maui, 2017, pp.654-657.
S. Islam, M.S. Sharif, U. Naeem and J. Geehan, “SignalSense: towards quality service,” in ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2017), 2nd workshop on intelligent personal support of human behaviour - SmartGuidance'17, Maui, 2017, pp.627-630.
U. Naeem, S. Islam, M.S. Sharif, S. Sudakov and M.A. Azam, “Taskification: gamification of tasks,” in ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2017), 2nd workshop on intelligent personal support of human behaviour - SmartGuidance'17, Maui, 2017, pp.631-634.
M.S.L. Khan, S.U. Réhman, Y. Mi, U. Naeem, J. Beskow and H. Li, “Moveable Facial Features in a Social Mediator,” in International Conference on Intelligent Virtual Agents, Stockholm, 2017, pp.205-208.
S. Pizzamiglio, U. Naeem, S.U. Réhman, M.S. Sharif, H. Abdalla and D.L. Turner, “A Multimodal Approach to Measure the Distraction Levels of Pedestrians using Mobile Sensing,” in 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, Lund, 2017, pp. 89-96.
M. Ehatisham-ul-Haq, M.A. Azam, U. Naeem, S.U. Rѐhman and A. Khalid, “Identifying Smartphone Users based on their Activity Patterns via Mobile Sensing,” in 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, Lund, 2017, pp.202-209.
K. Okoye, A.H. Tawil, U. Naeem, S. Islam and E.Lamine, “Semantic-based Model Analysis towards Enhancing Information Values of Process Mining: Case Study of Learning Process Domain,” in International Conference on Soft Computing and Pattern Recognition, India, 2016, pp.622-633.
K. Okoye, A.H. Tawil, U. Naeem, S. Islam and E.Lamine, “Using semantic-based approach to manage perspectives of process mining: Application on improving learning process domain data,” in IEEE International Conference on Big Data, Washington, 2016, pp.3529-3538.
U. Naeem, A.R. Tawil, I. Semelis, M.A. Azam and M.A Ghazanfar, “Inference Engine based on a Hierarchical Structure for Detecting Everyday Activities within the Home,” in SAI Intelligent Systems (IntelliSys) Conference, London, 2016, pp.969-986.
I.K. Ihianle, U. Naeem and A.R. Tawil, “Recognition of Activities of Daily Living from Topic Model,” in 7th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, London, 2016.pp.24-31.
I.K. Ihianle, U. Naeem, A.R. Tawil and M.A. Azam, “Recognizing activities of daily living from patterns and extraction of web knowledge,” in ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016), 1st International Workshop on Smarticipation: intelligent personal guidance of human behavior utilizing anticipatory models, Heidelberg, 2016, pp.1255-1262.
I.K. Ihianle, U. Naeem, and A.H. Tawil. "A dynamic segmentation based activity discovery through topic modelling," in IET International Conference on Technologies for Active and Assisted Living (TechAAL), London, 2015, pp.1-6.
S. Nasreen, M.A. Azam, U. Naeem and M.A Ghazanfar, “Inference of activities with unexpected actions using pattern mining,” in ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), 3rd International Workshop on Human Activity Sensing Corpus and its Application, Japan, 2015, pp.1479-1488.
K. Okoye, A.H. Tawil, U. Naeem and E.Lamine, "Semantic Process Mining Towards Discovery and Enhancement of Learning Model Analysis," in 17th IEEE International Conference on High Performance Computing and Communications, New York, 2015, pp.363-370.
U. Naeem, A.H. Tawil, I. Semelis, G. Judah and R. Aunger, “Inference of Hygiene Behaviours While Recognising Activities of Daily Living,” in 3rd International Conference on Context-Aware Systems and Applications, 4th International Workshop on Pervasive and Context-Aware Middleware, Dubai, 2014, pp.154-161.
K. Okoye, A.H. Tawil, U. Naeem, R. Bashroush and E.Lamine, “A Semantic Rule-Based Approach Towards Process Mining for Personalised Adaptive Learning,” in 16th IEEE International Conference on High Performance Computing and Communications, 1st International Workshop on Algorithmic and Modeling, Paris, 2014, pp.929-936.
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 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, Canada, 2014, pp.203-210.
S. Nasreen, M.A. Azam, K. Shehzad, U. Naeem and M.A. Ghazanfar, “Frequent Pattern Mining Algorithms for Finding Associated Frequent Patterns for Data Streams: A Survey,” in 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, Canada, 2014, pp.109-116.
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 19th International Conference on Transformative Research in Science and Engineering, Business and Social Innovation, Malaysia, 2014, pp.1-9.
N. Sarantinos, A. Al-Nemrat and U. Naeem, “Statistical Sampling Approach to Investigate Child Pornography Cases,” in 4th Cybercrime and Trustworthy Computing Workshop, Sydney, 2013, pp.22-29.
T. B. Lau, D.M.L. Wong, U. Naeem and S.W. Lee, “An Indoor Prototype Framework for Recognition of Activities of Daily Life,” in 7th Conference on Rehabilitation Engineering and Assistive Technology Society of Korea, Korea, 2013, pp.94-97.
M.A. Azam, J. Loo, U. Naeem, S. K. A. Khan, A. Lasebae and O. Gemikonakli, “A Framework to Recognise Daily Life Activities with Wireless Proximity and Object Usage Data,” in 23rd IEEE International Symposium on Personal, Indoor and Mobile Radio Communication, Sydney, 2012, pp.590-595.
U. Naeem, A.H. Tawil, R. Bashroush and A. Al-Nemrat, “Achieving Model Completeness for Hierarchally Structured Activities of Daily Life,” in 2nd International Conference on Pervasive and Embedded Computing and Communication Systems, Rome, 2012.
U. Naeem and J. Bigham, “Recognising Activities of Daily Life through the Usage of Everyday Objects around the Home,” in 3rd International Conference on Pervasive Computing Technologies for Healthcare, Technologies to Counter Cognitive Decline Workshop, London, 2009, pp.1-4.
U. Naeem and J. Bigham, “A Hierarchal Approach to Activity Recognition in the Home Environment based on Object Usage,” in Networking and Electronic Commerce Research Conference (NAEC 2008), Italy, 2008, pp.48-54.
U. Naeem and J. Bigham, “Activity Recognition using a Hierarchical Framework,” in 2nd International Conference on Pervasive Computing Technologies for Healthcare, Ambient Technologies for Diagnosing and Monitoring Chronic Patients Workshop, Finland, 2008, pp.24-27.
U. Naeem, J. Bigham and J. Wang, “Recognising Activities of Daily Life Using Hierarchical Plans,” in 2nd European Conference on Smart Sensing and Context, UK, 2007, pp.175-189.
U. Naeem and J. Bigham, "A Comparison of Two Hidden Markov Approaches to Task Identification in the Home Environment," in 2nd International Conference on Pervasive Computing and Applications, Birmingham, 2007, pp.383-388.
Journal Papers
L. Bosman, E. Wollega and U. Naeem. "Responsive Educational Transformations During Emergency Situations: Collaborative Autoethnography Applied to the Engineering Classroom," International Journal of Engineering Education, pp.288-298, 2002
Y. Asim, M.A. Azam, M. Ehatisham-ul-Haq, U. Naeem, and A. Khalid, “Context-Aware Human Activity Recognition (CAHAR) in-the-Wild Using Smartphone Accelerometer,” IEEE Sensors Journal, 20(8), pp.4361-4371, 2020
M. Ehatisham-Ul-Haq, M. A. Azam, Y. Amin and U. Naeem, "C2FHAR: Coarse-to-Fine Human Activity Recognition with Behavioral Context Modeling Using Smart Inertial Sensors," IEEE Access, vol. 8, pp. 7731-7747, 2020
K. Okoye, S. Islam, U. Naeem, and S. Sharif. "Semantic-based process mining technique for annotation and modelling of domain processes." International Journal of Innovative Computing, Information and Control, 16, no. 3, pp. 899-921, 2020
I.K. Ihianle, U. Naeem, S. Islam and A.R. Tawil, “Recognising Activities of Daily Living from Patterns of Object Use,” International Journal of Hybrid Intelligent Systems, pp.1-16, 2018
M. Ehatisham-ul-Haq, M.A. Azam, J. Loo, U. Naeem and Y. Amin “Continuous Authentication of Smartphone Users Based on Activity Pattern Recognition Using Passive Mobile Sensing,” Journal of Network and Computer Applications, vol.109, pp.24-35, 2018
R.G. Hussain, M.A. Azam, M.A. Ghazanfar, U. Naeem and S.U. Réhman, “A Performance Comparison of Machine Learning Classification Approaches for Robust Activity of Daily Living Recognition,” Artificial Intelligence Review, pp.1-23, 2018
S. Pizzamiglio, H. Abdalla, U. Naeem and D.L. Turner, “Neural predictors of gait stability when walking freely in the real-world,” Journal of NeuroEngineering and Rehabilitation, vol.15, no.1, pp.11, 2018.
I.K. Ihianle, U. Naeem, S. Islam and A.R. Tawil, “A Hybrid Approach to Recognising Activities of Daily Living from Object Use in the Home Environment,” Informatics Journal, vol.5, no.1, pp.6, 2018.
K. Okoye, U. Naeem, S. Islam, A.R. Tawil and E. Lamine, "Process Models Discovery and Traces Classification: A Fuzzy-Bpmn Mining Approach," Journal of International Technology and Information Management, vol.24, no.4, pp.2-50, 2017
S. Pizzamiglio, U. Naeem, H. Abdalla and D.L. Turner, “Neural Correlates of Single- and Dual-Task Walking in the Real World,”Frontiers in human neuroscience, vol.11, pp.460, 2017.
M. Ehatisham-ul-Haq, M.A. Azam, J. Loo, K. Shuang, S. Islam, U. Naeem and Y. Amin, “Authentication of Smartphone Users Based on Activity Recognition and Mobile Sensing” Sensors Journal, vol.17, no.9, pp.2043, 2017.
W. Ali, M.A. Azam, U. Naeem, M.A. Ghazanfar, A. Khalid and Y. Amin, “Variance Based Pattern Detection for Inferring Activities of Daily Living,” Nucleus, vol.54,no.2, pp.127-134, 2017.
Kingsley Okoye, Usman Naeem, Syed Islam, “Semantic Fuzzy Mining: Enhancement of process models and event logs analysis from Syntactic to Conceptual Level,” International Journal of Hybrid Intelligent Systems, vol.14, no.1-2, pp.67-98, 2017.
S. Pizzamiglio, M. De Lillo, U. Naeem, H. Abdalla and D. L. Turner, “High-Frequency Intermuscular Coherence between Arm Muscles during Robot-Mediated Motor Adaptation,” Frontiers in Physiology, Volume 7, No.668, 2017.
K. Okoye, A.H. Tawil, U. Naeem and E.Lamine, "Discovery and Enhancement of Learning Model Analysis through Semantic Process Mining," International Journal of Computer Information Systems and Industrial Management Applications,Vol.8, pp.93-114, 2016.
Raana, M.A. Azam, M.A. Ghazanfar, A. Javed, Y. Amin, and U. Naeem, U, “C++ BUG CUB: Logical Bug Detection for C++ Code,” Nucleus, vol.53,no.1, pp.56-63, 2016.
S. Nasreen, M.A. Azam, U. Naeem, M.A Ghazanfar and A. Khalid, “Recognition Framework for Inferring Activities of Daily Living Based on Pattern Mining,” Arabian Journal for Science and Engineering, vol.41, no.8, pp.3113-3126, 2016.
S. Zahra, M. Ghazanfar, A. Khalid, M. Azam, U. Naeem and A. Prugel-Bennett, "Novel Centroid Selection Approaches for KMeans-Clustering Based Recommender Systems," Information Sciences, vol.320, pp.156-189, 2015.
U. Naeem, R. Bashroush, R. Anthony, M.A. Azam, A.R. Tawil, S.W. Lee and D. M. Wong, “Activities of Daily Life Recognition using Process Representation Modelling to Support Intention Analysis,” International Journal of Pervasive Computing and Communications, vol.11, no.3, pp.347-371, 2015.
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, vol.43, no.1, pp.1-32, 2014.
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, no.4, pp.346-366, 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, vol.3, no.3, pp.21-40, November 2012.
U. Naeem and J. Bigham, “Activity Recognition in the Home using a Hierarchal Framework with Object Usage Data,” Journal of Ambient Intelligence and Smart Environments, vol. 1, no.4, pp.335-350, October 2009.
Book Chapters
K. Okoye, S. Islam, and U. Naeem. "Ontology: Core Process Mining and Querying Enabling Tool," in Ontology in Information Science, C. Thomas, InTech, 2018.
K. Okoye, A.H. Tawil, U. Naeem and E.Lamine, "A Semantic Reasoning Method Towards Ontological Model for Automated Learning Analysis," in Advances in Nature and Biologically Inspired Computing, N. Pillay, A. Engelbrecht, A. Abraham, M. du Plessis, V. Snášel and A. Muda,Springer International Publishing, 2016, pp.49-60.
U. Naeem, R. Anthony, A.H. Tawil, M.A. Azam and D. Preston, “Approaches for Tracking Functional Decline using Ambient Intelligence,” in Assistive Technologies for Physical and Cognitive Disabilities, Advances in Medical Technologies and Clinical Practice, L.B. Theng, IGI Global, 2015, pp.152-172.