Dr Muhammad Salman Haleem
Lecturer in Artificial Intelligence
School of Electronic Engineering and Computer Science
Queen Mary University of London
Queen Mary University of London
Research
Multimodal Artificial Intelligence, Biomedical Signal/Image Processing, Fundamental AI design, Trustworthy AI
Interests
Fundamental AI design and development of mathematical foundations of AI to address personalized risk assessment models. It require time series data acquisition, processing and modelling from multiple sources such as modern assistive technologies, health questionnaires, electronic health records etc. Pivotal for modern chronic disease managementText mining for extracting contextual insights from unstructured text logs. With the advent of modern technologies, we are acquiring Big Data from various multiple sources under clinical, health and policing domain and Big data analytics would be pivotal to extract information from unstructured text records.
Image processing and computer Vision including Adaptive ML models for extracting personalized anatomical structures and assistive robotics for effective healthcare and hospitalization management.
Trustworthy AI for more explainable, fair, robust, private, and transparent modelling
Publications
Publications of specific relevance to the Centre for Multimodal AI2024
Rotbei S, Tseng WH, Merino-Barbancho B, Haleem MS, Montesinos L, Pecchia L, Fico G and Botta A (2024). Evaluating impact of movement on diabetes via artificial intelligence and smart devices systematic literature review. Expert Systems with Applications, Elsevier vol. 257 01-12-2024
Ellison M, Haleem MS and Bannister J (2024). Qualifying the volumes of Mental Ill Health incident dealt with by Greater Manchester Police (GMP). 01-10-2024
Haleem MS, Cisuelo O, Andellini M, Castaldo R, Angelini M, Ritrovato M, Schiaffini R, Franzese M and Pecchia L (2024). A Self-Attention Deep Neural Network Regressor for real time blood glucose estimation in paediatric population using physiological signals. Biomedical Signal Processing and Control, Elsevier vol. 92 01-06-2024
Andellini M, Castaldo R, Cisuelo O, Franzese M, Haleem MS, Ritrovato M, Pecchia L and Schiaffini R (2024). Are the variations in ECG morphology associated to different blood glucose levels? implications for non-invasive glucose monitoring for T1D paediatric patients. Diabetes Research and Clinical Practice, Elsevier vol. 212 14-05-2024
Sassi M, Haleem MS and Pecchia L (2024). Spectrogram-based approach with convolutional neural network for human activity classification. Mediterranean Conference on Medical and Biological Engineering and Computing International Conference on Medical and Biological Engineering MEDICON 2023, CMBEBIH 2023: MEDICON’23 and CMBEBIH’23 14 Sep 2023 - 16 Sep 2023. 04-01-2024
Cisuelo O, Haleem MS, Hattersley J and Pecchia L (2024). Spectrogram-Driven Convolutional Neural Network for Real-Time Non-invasive Hyperglycaemia Detection in Paediatric Type-1 Diabetes via Wearable Sensors. MEDICON: Mediterranean Conference on Medical and Biological Engineering and Computing, CMBEBIH: International Conference on Medical and Biological Engineering 14 Sep 2023 - 16 Sep 2023. 04-01-2024
2023
Haleem MS (2023). Advances in Artificial Intelligence, Machine Learning and Deep Learning Applications. Electronics, MDPI vol. 12 (18), 3780-3780. 07-09-2023
Maccaro A, Pagliara SM, Zarro M, Piaggio D, Abdulsalami F, Su W, Haleem MS and Pecchia L (2023). Ethics and biomedical engineering for well-being: a cocreation study of remote services for monitoring and support. Scientific Reports, Nature Research vol. 13 (1), 14322-14322. 31-08-2023
Haleem MS, Ekuban A, Antonini A, Pagliara S, Pecchia L and Allocca C (2023). Deep-Learning-Driven Techniques for Real-Time Multimodal Health and Physical Data Synthesis. Electronics, MDPI vol. 12 (9), 1989-1989. 25-04-2023
Cisuelo O, Stokes K, Oronti IB, Haleem MS, Barber TM, Weickert MO, Pecchia L and Hattersley J (2023). Development of an artificial intelligence system to identify hypoglycaemia via ECG in adults with type 1 diabetes: protocol for data collection under controlled and free-living conditions. BMJ Open, BMJ Publishing Group vol. 13 (4), e067899-e067899. 18-04-2023
Andellini M, Haleem S, Angelini M, Ritrovato M, Schiaffini R, Iadanza E and Pecchia L (2023). Artificial intelligence for non-invasive glycaemic-events detection via ECG in a paediatric population: study protocol. Health and Technology, Springer vol. 13 (1), 145-154. 23-01-2023
2022
Jossou TR, Tahori Z, Houdji G, Medenou D, Lasfar A, Sanya F, Ahouandjinou MH, Pagliara SM, Haleem MS and Et-Tahir A (2022). N-Beats as an EHG Signal Forecasting Method for Labour Prediction in Full Term Pregnancy. Electronics, MDPI vol. 11 (22), 3739-3739. 15-11-2022
Haleem MS and Pecchia L (2022). A Deep Learning Based ECG Segmentation Tool for Detection of ECG Beat Parameters. 2022 IEEE Symposium on Computers and Communications (ISCC). 03-07-2022
Allocca C, Jilali S, Ail R, Lee J, Kim B, Antonini A, Motta E, Schellong J, Stieler L, Haleem MS, Georga E, Pecchia L, Gaeta E and Fico G (2022). Toward a Symbolic AI Approach to the WHO/ACSM Physical Activity & Sedentary Behavior Guidelines. Applied Sciences, MDPI vol. 12 (4), 1776-1776. 09-02-2022
2021
Haleem MS, Castaldo R, Pagliara SM, Petretta M, Salvatore M, Franzese M and Pecchia L (2021). Time adaptive ECG driven cardiovascular disease detector. Biomedical Signal Processing and Control, Elsevier vol. 70 01-09-2021
Langton S, Bannister J, Ellison M, Haleem MS and Krzemieniewska-Nandwani K (2021). Policing and Mental ill-health: Using Big Data to Assess the Scale and Severity of, and the Frontline Resources Committed to, mental ill-health-related calls-for-service. Policing A Journal of Policy and Practice, Oxford University Press (OUP) vol. 15 (3), 1963-1976. 30-07-2021
Ellison M, Bannister J, Do Lee W and Haleem MS (2021). Understanding policing demand and deployment through the lens of the city and with the application of big data. Urban Studies, SAGE Publications vol. 58 (15), 3157-3175. 26-02-2021
2020
Lee WD, Haleem MS, Ellison M and Bannister J (2020). The Influence of Intra-Daily Activities and Settings upon Weekday Violent Crime in Public Spaces in Manchester, UK. European Journal on Criminal Policy and Research, Springer vol. 27 (3), 375-395. 10-07-2020
Haleem MS, Do Lee W, Ellison M and Bannister J (2020). The ‘Exposed’ Population, Violent Crime in Public Space and the Night-time Economy in Manchester, UK. European Journal on Criminal Policy and Research, Springer Nature vol. 27 (3), 335-352. 20-06-2020
2019
Haleem MS, Han L, Harding PJ and Ellison M (2019). An Automated Text Mining Approach for Classifying Mental-Ill Health Incidents from Police Incident Logs for Data-Driven Intelligence. 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). 09-10-2019
2017
Haleem MS, Han L, Hemert JV, Li B, Fleming A, Pasquale LR and Song BJ (2017). A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis. Journal of Medical Systems, Springer vol. 42 (1), 20-20. 07-12-2017
Soroka A, Liu Y, Han L and Haleem MS (2017). Big Data Driven Customer Insights for SMEs in Redistributed Manufacturing. Procedia CIRP, Elsevier vol. 63, 692-697. 11-07-2017
Han L, Haleem MS, Sobeih T, Liu Y and Soroka A (2017). An Automated Cloud-based Big Data Analytics Platform for Customer Insights. 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). 01-06-2017
2016
Haleem MS, Han L, Hemert JV, Fleming A, Pasquale LR, Silva PS, Song BJ and Aiello LP (2016). Regional Image Features Model for Automatic Classification between Normal and Glaucoma in Fundus and Scanning Laser Ophthalmoscopy (SLO) Images. Journal of Medical Systems, Springer vol. 40 (6), 132-132. 16-04-2016
Han L, Haleem MS and Taylor M (2016). Automatic Detection and Severity Assessment of Crop Diseases Using Image Pattern Recognition. Emerging Trends and Advanced Technologies for Computational Intelligence 283-300. 01-01-2016
2015
Haleem MS, Han L, van Hemert J and Fleming A (2015). Glaucoma classification using Regional Wavelet Features of the ONH and its surroundings. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 01-08-2015
Han L, Haleem MS and Taylor M (2015). A Novel Computer Vision-Based Approach to Automatic Detection and Severity Assessment of Crop Diseases. 2015 Science and Information Conference (SAI). 01-07-2015
Haleem MS (2015). Automatic extraction of retinal features to assist diagnosis of glaucoma disease. 24-04-2015
2014
Haleem MS, Han L, van Hemert J, Li B and Fleming A (2014). Retinal area detector from scanning laser ophthalmoscope (SLO) images for diagnosing retinal diseases. IEEE Journal of Biomedical and Health Informatics, Institute of Electrical and Electronics Engineers vol. 19 (4), 1472-1482. 26-08-2014
Haleem MS, Han L, van Hemert J, Li B and Fleming A (2014). Superpixel Based Retinal Area Detection in SLO Images. Computer Vision and Graphics 254-261. 01-01-2014
2013
Haleem MS, Han L, van Hemert J and Li B (2013). Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review. Computerized Medical Imaging and Graphics, Elsevier vol. 37 (7-8), 581-596. 27-09-2013
Haleem MS, Han L, Li B, Nisbet A, Hemert JV and Verhoek M (2013). Automatic Extraction of the Optic Disc Boundary for Detecting Retinal Diseases. Computer Graphics and Imaging / 798: Signal Processing, Pattern Recognition and Applications. 01-01-2013
2011
Haleem MS, Haider MA and Yetik S (2011). A TASK-BASED APPROACH TO PARAMETRIC IMAGING WITH DYNAMIC CONTRAST ENHANCED MRI. 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. 01-03-2011
2008
Haleem MS (2008). Voice Controlled Automation System. 2008 IEEE International Multitopic Conference. 01-12-2008