Dr Usman NaeemReader in Computer Science Education Email: u.naeem@qmul.ac.ukRoom Number: People's Palace, PP5.01Website: https://www.drusmannaeem.comProfileTeachingResearchPublicationsProfileDr Usman Naeem is a Reader in Computer Science Education within the School of Electronic Engineering and Computer Science at Queen Mary University of London. Usman is also a Queen Mary Academy Fellow in Learner Engagement Analytics.Usman received his PhD from Queen Mary University of London in 2009. His research focus is on educational and assistive technologies, which include machine learning techniques, mobile computing, and ambient intelligent environments.Usman has taught on a variety of programmes, ranging from traditional programmes such as BSc Computer Science to degree apprenticeships programmes such as BSc Digital & Technology Solutions Professional.Usman is also a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE).TeachingUsman has over 15 years of successful teaching experience in higher education, which includes teaching on a variety of undergraduate and postgraduate modules. Usman is a Senior Fellow of the Higher Education Academy (SFHEA). He also has Postgraduate Certificate in Learning and Teaching in Higher Education.Undergraduate TeachingFundamentals of Web Technology This is a module designed to offer students practical skills as well as understanding of underlying principles of programming the World Wide Web. Major topics of study include Internet and web server basics; client-side programming using HTML5; Cascading Style Sheets, and Javascript. Students will develop practical skills in server-side programming using PHP and gain an understanding and hands on experience in the practical issues involved when setting up a website.ResearchResearch Interests:Usman's current research focus is on educational and assistive technologies, which includes: Learner Engagement Analytics Ambient Intelligent Environments Context Awareness Mobile Sensing Gamification Machine Learning Techniques Publications20627 Allen M, Naeem U, Gill SS (2024). Q-Module-Bot: A Generative AI-Based Question and Answer Bot for Module Teaching Support. nameOfConference DOI: 10.1109/te.2024.3435427 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/98901 Mota D, Naeem U, Gill SS (publicationYear). Machine Learning-Based Emotional State Inference Using Mobile Sensing. nameOfConference DOI: 10.1201/9781003467199-23 QMRO: qmroHref Naeem U, Shu C, Ma L et al. (2024). Data-Driven Interventions for Capstone Projects. 2024 IEEE Global Engineering Education Conference (EDUCON) DOI: 10.1109/educon60312.2024.10578897 QMRO: qmroHref Styve A, Virkki OT, Naeem U (2024). Developing Critical Thinking Practices Interwoven with Generative AI Usage in an Introductory Programming Course. 2024 IEEE Global Engineering Education Conference (EDUCON) DOI: 10.1109/educon60312.2024.10578746 QMRO: qmroHref Naeem U, Bosman L, Revell C et al. (2024). mySkills – A Curriculum Integrated Employability Framework. 2024 IEEE Global Engineering Education Conference (EDUCON) DOI: 10.1109/educon60312.2024.10578854 QMRO: qmroHref Gill SS, Naeem U, Kaur R et al. (2024). Enhancing Student Learning, Engagement, and Employment Through Inclusive Curriculum Design. nameOfConference DOI: 10.4018/979-8-3693-6100-9.ch006 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/96947 Baysan A, Naeem U (publicationYear). Inclusive education: pedagogical approach to online versus face-to-face teaching. nameOfConference DOI: 10.3389/feduc.2023.1148344 QMRO: qmroHref Naeem U, Bosman L (2023). Learner Engagement Analytics in a Hybrid Learning Environment. 2023 IEEE Global Engineering Education Conference (EDUCON) DOI: 10.1109/educon54358.2023.10125108 QMRO: qmroHref Naeem U, Bosman L, Revell C (2023). mySkills - A Reflective Framework for Employability Skills. 2023 IEEE Global Engineering Education Conference (EDUCON) DOI: 10.1109/educon54358.2023.10125192 QMRO: qmroHref Okoye K, Islam S, Naeem U et al. (2023). Semantic Data Engineering for Intelligent Educational Learning Systems through Process Mining. 2023 Future of Educational Innovation-Workshop Series Data in Action DOI: 10.1109/ieeeconf56852.2023.10105072 QMRO: qmroHref Gill SS, Thibodeau D, Kaur R et al. (2023). Reflection on Teaching Observation for Computer Science and Engineering to Design Effective Teaching Resources in Transnational Higher Education. nameOfConference DOI: 10.4018/978-1-6684-5226-4.ch016 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/84222 Gill SS, Naeem U, Fuller S et al. (2022). How Covid-19 Changed Computer Science Education. nameOfConference DOI: 10.1093/itnow/bwac062 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/78478 Naeem U, Bosman L, Gill SS (2022). Teaching and Facilitating an Online Learning Environment for a Web Programming Module. 2022 IEEE Global Engineering Education Conference (EDUCON) DOI: 10.1109/educon52537.2022.9766757 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/78459 Bosman L, Wollega E, Naeem U (2022). Responsive Educational Transformations During Emergency Situations: Collaborative Autoethnography Applied to the Engineering Classroom. nameOfConference DOI: doi QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/78628 Sharma K, Naeem U, Krishnamurthi R et al. (2022). Chapter 1 Lightweight and heavyweight technologies for autonomous vehicles: A survey. nameOfConference DOI: 10.1016/b978-0-323-90592-3.00001-x QMRO: qmroHref Kaushik K, Bathla G, Naeem U et al. (2022). Chapter 16 Cybercriminal approaches in big data models for automated heavy vehicles. nameOfConference DOI: 10.1016/b978-0-323-90592-3.00018-5 QMRO: qmroHref Bosman LB, Wollega E, Naeem U (2022). Responsive Educational Transformations during Emergency Situations: Collaborative Autoethnography Applied to the Engineering Classroom. nameOfConference DOI: doi QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/78227 Bosman L, Naeem U, Padumadasa E (2021). 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 DOI: 10.52202/066488-0104 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/75703 Bosman L, Wollega E, Naeem U (2021). HyFlex, Hybrid, and Virtual Synchronous Teaching in the Engineering Classroom: An Autoethnographic Approach. 2021 ASEE Virtual Annual Conference Content Access DOI: doi QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/74761 Ihianle IK, Islam S, Naeem U et al. (2021). Exploiting Patterns of Object Use for Human Activity Recognition. nameOfConference DOI: 10.4018/978-1-7998-6992-4.ch015 QMRO: qmroHref Qamar N, Siddiqui N, Ehatisham-ul-Haq M et al. (2020). An Approach towards Position-Independent Human Activity Recognition Model based on Wearable Accelerometer Sensor. nameOfConference DOI: 10.1016/j.procs.2020.10.028 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/68541 Ehatisham-ul-Haq M, Malik MN, Azam MA et al. (2020). Identifying Users with Wearable Sensors based on Activity Patterns. nameOfConference DOI: 10.1016/j.procs.2020.10.005 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/68539 Ehatisham-ul-Haq M, Awais Azam M, Asim Y et al. (2020). Using Smartphone Accelerometer for Human Physical Activity and Context Recognition in-the-Wild. nameOfConference DOI: 10.1016/j.procs.2020.10.007 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/68540 Ehatisham-Ul-Haq M, Azam MA, Amin Y et al. (2020). C2FHAR: Coarse-to-Fine Human Activity Recognition With Behavioral Context Modeling Using Smart Inertial Sensors. nameOfConference DOI: 10.1109/access.2020.2964237 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/63342 Asim Y, Azam MA, Ehatisham-ul-Haq M et al. (2020). Context-Aware Human Activity Recognition (CAHAR) in-the-Wild Using Smartphone Accelerometer. nameOfConference DOI: 10.1109/jsen.2020.2964278 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/63341 (2020). Semantic-Based Process Mining Technique for Annotation and Modelling of Domain Processes. nameOfConference DOI: 10.24507/ijicic.16.03.899 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/62889 Naeem U, Islam S, Siddiqui A (2019). Improving Student Engagement and Performance in Computing Final Year Projects. 2019 IEEE International Conference on Engineering, Technology and Education (TALE) DOI: 10.1109/tale48000.2019.9225860 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/62421 Naeem U, Islam S, Siddiqui A (2019). An Effective Framework for Enhancing Student Engagement and Performance in Final Year Projects. 2019 IEEE Global Engineering Education Conference (EDUCON) DOI: 10.1109/educon.2019.8725253 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/56672 Hussain RG, Ghazanfar MA, Azam MA et al. (2019). A performance comparison of machine learning classification approaches for robust activity of daily living recognition. nameOfConference DOI: 10.1007/s10462-018-9623-5 QMRO: qmroHref Guinea AS, Seeliger A, Pejović V et al. (2019). UPA’19: 4th international workshop on ubiquitous personal assistance. nameOfConference DOI: 10.1145/3341162.3347755 QMRO: qmroHref Ihianle IK, Naeem U, Islam S et al. (2018). Recognising activities of daily living from patterns of object use. nameOfConference DOI: 10.3233/his-180251 QMRO: qmroHref Ihianle I, Naeem U, Islam S et al. (2018). A hybrid approach to recognising activities of daily living from object use in the home environment. nameOfConference DOI: 10.3390/informatics5010006 QMRO: qmroHref Ehatisham-ul-Haq M, Azam MA, Naeem U et al. (2018). Continuous authentication of smartphone users based on activity pattern recognition using passive mobile sensing. nameOfConference DOI: 10.1016/j.jnca.2018.02.020 QMRO: qmroHref Sharif MS, Naeem U, Islam S et al. (2018). Functional Connectivity Evaluation for Infant EEG Signals Based on Artificial Neural Network. nameOfConference DOI: 10.1007/978-3-030-01057-7_34 QMRO: qmroHref Pizzamiglio S, Abdalla H, Naeem U et al. (2018). Neural predictors of gait stability when walking freely in the real-world. nameOfConference DOI: 10.1186/s12984-018-0357-z QMRO: qmroHref Okoye K, Islam S, Naeem U (2018). Ontology: core process mining and querying enabling tool. nameOfConference DOI: doi QMRO: qmroHref Azam MA, Shahzadi A, Khalid A et al. (2018). Smartphone Based Human Breath Analysis from Respiratory Sounds. nameOfConference DOI: 10.1109/EMBC.2018.8512452 QMRO: qmroHref Okoye K, Islam S, Naeem U et al. (2018). The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain. nameOfConference DOI: 10.1007/978-3-030-01054-6_96 QMRO: qmroHref Meurisch C, Scholl PM, Naeem U et al. (2018). UPA’18: 3rd International Workshop on Ubiquitous Personal Assistance. nameOfConference DOI: 10.1145/3267305.3274133 QMRO: qmroHref Pizzamiglio S, Naeem U, Abdalla H et al. (publicationYear). Neural Correlates of Single- and Dual-Task Walking in the Real World. nameOfConference DOI: 10.3389/fnhum.2017.00460 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/54083 Ehatisham-ul-Haq M, Azam MA, Loo J et al. (publicationYear). Authentication of Smartphone Users Based on Activity Recognition and Mobile Sensing. nameOfConference DOI: 10.3390/s17092043 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/54068 Pizzamiglio S, Naeem U, Ur Réhman S et al. (2017). A mutlimodal approach to measure the distraction levels of pedestrians using mobile sensing. nameOfConference DOI: 10.1016/j.procs.2017.08.297 QMRO: qmroHref Islam S, Naeem U, Sharif MS et al. (2017). CrimeSafe: helping you stay safe. nameOfConference DOI: 10.1145/3123024.3124422 QMRO: qmroHref Pizzamiglio S, De Lillo M, Naeem U et al. (2017). High-frequency intermuscular coherence between arm muscles during robot-mediated motor adaptation. nameOfConference DOI: 10.3389/fphys.2016.00668 QMRO: qmroHref Ehatisham-ul-Haq M, Azam MA, Naeem U et al. (2017). Identifying Smartphone Users based on their Activity Patterns via Mobile Sensing. nameOfConference DOI: 10.1016/j.procs.2017.08.349 QMRO: qmroHref Khan MSL, ur Réhman S, Mi Y et al. (2017). Moveable Facial Features in a Social Mediator. nameOfConference DOI: 10.1007/978-3-319-67401-8_23 QMRO: qmroHref Ihianle IK, Naeem U, Islam S (2017). Ontology-driven activity recognition from patterns of object use.. nameOfConference DOI: 10.1145/3123024.3124424 QMRO: qmroHref Okoye Dr K, Naeem Dr U, Islam Dr S et al. (2017). Process Models Discovery and Traces Classification: A Fuzzy-BPMN Mining Approach.. nameOfConference DOI: doi QMRO: qmroHref Ihianle IK, Naeem U, Islam S et al. (2017). Recognising activities of daily living from patterns of object use. nameOfConference DOI: doi QMRO: qmroHref Okoye K, Naeem U, Islam S (2017). Semantic Fuzzy Mining: Enhancement of process models and event logs analysis from Syntactic to Conceptual Level. nameOfConference DOI: doi QMRO: qmroHref Islam S, Sharif MS, Naeem U et al. (2017). SignalSense: towards quality service.. nameOfConference DOI: 10.1145/3123024.3124421 QMRO: qmroHref Meurisch C, Naeem U, Scholl PM et al. (2017). SmartGuidance’17: 2nd workshop on intelligent personal support of human behavior. nameOfConference DOI: 10.1145/3123024.3124457 QMRO: qmroHref Naeem U, Islam S, Sharif MS et al. (2017). Taskification: gamification of tasks. nameOfConference DOI: 10.1145/3123024.3124423 QMRO: qmroHref Ali W, Azam MA, Naeem U et al. (2017). Variance Based Pattern Detection for Inferring Activities of Daily Living. nameOfConference DOI: doi QMRO: qmroHref Nasreen S, Azam MA, Naeem U et al. (2016). Recognition Framework for Inferring Activities of Daily Living Based on Pattern Mining. nameOfConference DOI: 10.1007/s13369-016-2091-9 QMRO: qmroHref Okoye K, Tawil A-RH, Naeem U et al. (2016). A semantic reasoning method towards ontological model for automated learning analysis. nameOfConference DOI: 10.1007/978-3-319-27400-3_5 QMRO: qmroHref Raana A, Azam MA, Ghazanfar MA et al. (2016). C++ BUG CUB: Logical Bug Detection for C++ Code. nameOfConference DOI: doi QMRO: qmroHref Okoye K, Tawil A-RH, Naeem U et al. (2016). Discovery and Enhancement of Learning Model Analysis through Semantic Process Mining*. nameOfConference DOI: doi QMRO: qmroHref Kingsley O, Tawil A-R, Naeem U et al. (2016). Discovery and enhancement of learning model analysis through semantic process mining. nameOfConference DOI: doi QMRO: qmroHref Naeem U, Tawil A-R, Semelis I et al. (2016). Inference Engine Based on a Hierarchical Structure for Detecting Everyday Activities Within the Home. nameOfConference DOI: 10.1007/978-3-319-56994-9_66 QMRO: qmroHref Ihianle IK, Naeem U, Tawil A-R (2016). Recognition of activities of daily living from topic model. nameOfConference DOI: 10.1016/j.procs.2016.09.007 QMRO: qmroHref Ihianle IK, Naeem U, Tawil A-R et al. (2016). Recognizing activities of daily living from patterns and extraction of web knowledge. nameOfConference DOI: 10.1145/2968219.2968440 QMRO: qmroHref Okoye K, Tawil ARH, Naeem U et al. (2016). Semantic process mining towards the discovery and enhancement of learning models analysis. nameOfConference DOI: doi QMRO: qmroHref Okoye K, Tawil A-RH, Naeem U et al. (2016). Semantic-based model analysis towards enhancing information values of process mining: Case study of learning process domain. nameOfConference DOI: 10.1007/978-3-319-60618-7_61 QMRO: qmroHref Meurisch C, Naeem U, Azam MA et al. (2016). Smarticipation: intelligent personal guidance of human behavior utilizing anticipatory models. nameOfConference DOI: 10.1145/2968219.2968436 QMRO: qmroHref Kingsley O, Tawil A-RH, Naeem U et al. (2016). Using semantic-based approach to manage perspectives of process mining: Application on improving learning process domain data. nameOfConference DOI: 10.1109/BigData.2016.7841016 QMRO: qmroHref Zahra S, Ghazanfar MA, Khalid A et al. (2015). Novel centroid selection approaches for KMeans-clustering based recommender systems. nameOfConference DOI: 10.1016/j.ins.2015.03.062 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/54086 Kennedy II, Naeem U, Tawil A-R (2015). A dynamic segmentation based activity discovery through topic modelling. nameOfConference DOI: doi QMRO: qmroHref Naeem U, Bashroush R, Anthony R et al. (2015). Activities of daily life recognition using process representation modelling to support intention analysis. nameOfConference DOI: 10.1108/IJPCC-01-2015-0002 QMRO: qmroHref Nasreen S, Azam MA, Naeem U et al. (2015). Inference of activities with unexpected actions using pattern mining. Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15 DOI: 10.1145/2800835.2801619 QMRO: qmroHref Kingsley O, Tawil A-R, Naeem U et al. (2015). Process mining towards automated learning: a semantic rule-based approach. nameOfConference DOI: doi QMRO: qmroHref Okoye K, Tawil ARH, Naeem U et al. (2015). Semantic Process Mining Towards Discovery and Enhancement of Learning Model Analysis. nameOfConference DOI: 10.1109/HPCC-CSS-ICESS.2015.164 QMRO: qmroHref Naeem U, Anthony R, Tawil A-R et al. (2015). The role of ambient intelligent environments for tracking functional decline. nameOfConference DOI: 10.4018/978-1-4666-7373-1.ch008 QMRO: qmroHref Okoye K, Tawil A-RH, Naeem U et al. (2014). A semantic rule-based approach supported by process mining for personalised adaptive learning. nameOfConference DOI: 10.1016/j.procs.2014.08.031 QMRO: qmroHref Okoye K, Tawil ARH, Naeem U et al. (2014). A semantic rule-based approach towards process mining for personalised adaptive learning. nameOfConference DOI: 10.1109/HPCC.2014.143 QMRO: qmroHref Mann KS, Bansal EA, Sokullu R et al. (2014). EUSPN 2014 Papers. nameOfConference DOI: doi QMRO: qmroHref Nasreen S, Azam MA, Shehzad K et al. (2014). Frequent Pattern Mining Algorithms for Finding Associated Frequent Patterns for Data Streams: A Survey. nameOfConference DOI: 10.1016/j.procs.2014.08.019 QMRO: qmroHref Naeem U, Tawil A-RH, Semelis I et al. (2014). Inference of Hygiene Behaviours While Recognising Activities of Daily Living. nameOfConference DOI: doi QMRO: qmroHref Tawil A-RH, Taweel A, Naeem U et al. (2014). Integration operators for generating RDF/OWL-based user defined mediator views in a grid environment. nameOfConference DOI: 10.1007/s10844-013-0300-5 QMRO: qmroHref Lee SW, Naeem U, Anthony R et al. (2014). Tracking functional decline using ambient intelligence for Alzheimer’s patients. nameOfConference DOI: doi QMRO: qmroHref Lau BT, Wong MLD, Naeem U et al. (2013). An Indoor Prototype Framework for Recognition of Activities of Daily Life. nameOfConference DOI: doi QMRO: qmroHref Azam MA, Loo J, Naeem U et al. (2013). Recognising indoor/outdoor activities of low entropy people using Bluetooth proximity and object usage data. nameOfConference DOI: 10.1108/IJPCC-09-2013-0025 QMRO: qmroHref Sarantinos N, Al-Nemrat A, Naeem U (2013). Statistical Sampling Approach to Investigate Child Pornography Cases. nameOfConference DOI: 10.1109/CTC.2013.14 QMRO: qmroHref Azam MA, Loo J, Naeem U et al. (2012). A framework to recognise daily life activities with wireless proximity and object usage data. nameOfConference DOI: doi QMRO: qmroHref Naeem U, Tawil A, Bashroush R et al. (2012). Achieving Model Completeness for Hierarchally Structured Activities of Daily Life. nameOfConference DOI: doi QMRO: qmroHref Awais Azam M, Loo J, Kashif Ashraf Khan S et al. (2012). Behavioural patterns analysis of low entropy people using proximity data. nameOfConference DOI: doi QMRO: qmroHref Naeem U (2009). A hierarchal framework for recognising activities of daily life. nameOfConference DOI: doi QMRO: qmroHref Naeem U, BIGHAM J (2009). Activity Recognition in the Home using a Hierarchal Framework with Object Usage Data. nameOfConference DOI: 10.3233/AIS-2009-0042 QMRO: qmroHref Naeem U, BIGHAM J (2009). Recognising Activities of Daily Life through the Usage of Everyday Objects around the Home. nameOfConference DOI: 10.4108/icst.pervasivehealth2009.6059 QMRO: qmroHref Naeem U, Bigham J (2008). A Hierarchal Approach to Activity Recognition in the Home Environment based on Object Usage. nameOfConference DOI: doi QMRO: qmroHref Naeem U, Bigham J (2008). Activity Recognition using a Hierarchical Framework. nameOfConference DOI: 10.4108/icst.pervasivehealth2008.2742 QMRO: qmroHref Naeem U, Bigham J (2008). Activity recognition using a hierarchical framework. nameOfConference DOI: 10.1109/PCTHEALTH.2008.4571018 QMRO: qmroHref Naeem U, BIGHAM J (2008). Recognising Activities of Daily Life through the Usage of Everyday Objects around the Home. Proceedings of the 2008 Networking and Electronic Commerce Research Conference (NAEC 2008) DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6059 QMRO: qmroHref Naeem U, Bigham J (2007). A comparison of two hidden Markov approaches to task identification in the home environment. nameOfConference DOI: 10.1109/ICPCA.2007.4365473 QMRO: qmroHref Naeem U, Bigham J, Wang JF (2007). Recognising activities of daily life using hierarchical plans. nameOfConference DOI: 10.1007/978-3-540-75696-5_11 QMRO: qmroHref