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  1. Queen Mary University of London
  2. Research
  3. Publications

Publications: DR Muhammad Salman Haleem

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Temporale C, De Salvo E, Gaeta E, Rujas M, Lopez-Perez L, Haleem MS, Aidonis V, Georga EI et al. ( 2026 ) . A Secure and Interoperable Big Data Platform for AI-Driven Healthcare Solutions: Insights From the GATEKEEPER Project . IEEE Access vol. 14 , 16389 - 16405 .
Haleem MS, Katsarou D, Georga EI, Dafoulas GE, Bargiota A, Lopez-Perez L, Rujas M, Fico G et al. ( 2025 ) . Correction: A multimodal deep learning architecture for predicting interstitial glucose for effective type 2 diabetes management . Scientific Reports vol. 15 , ( 1 )
Haleem MS, Aidonis V, Georga EI, Krini M, Matsangidou M, Kassianos AP, Pattichis CS, Rujas M et al. ( 2025 ) . A Multimodal Deep Learning Architecture for Estimating Quality of Life for Advanced Cancer Patients Based on Wearable Devices and Patient-Reported Outcome Measures . IEEE Journal of Biomedical and Health Informatics vol. 30 , ( 2 ) 1166 - 1177 .
Haleem MS, Katsarou D, Georga EI, Dafoulas GE, Bargiota A, Lopez-Perez L, Rujas M, Fico G et al. ( 2025 ) . A multimodal deep learning architecture for predicting interstitial glucose for effective type 2 diabetes management . Scientific Reports vol. 15 , ( 1 )
Antonini A, Coşar S, Naja I, Haleem MS, Macdonald JH, Innominato P, Barresi G ( 2025 ) . Smartphone as a Sensor in mHealth: Narrative Overview, SWOT Analysis, and Proposal of Mobile Biomarkers . Sensors vol. 25 , ( 12 )
Allocca C, Antonini A, Pala R, Salatino A, Naja I, Ail R, Haleem MS, Lopez-Perez L et al. ( 2025 ) . Knowledge Graph Construction for Health, Lifestyle and Fitness Applications . The Semantic Web , vol. 15719 , Springer Nature
Gaeta E, Haleem MS, Lopez-Perez L, Manea M, Umpierrez MFC, Waldmeyer MTA, Pecchia L, Fico G ( 2025 ) . GATEKEEPER Platform: Secure Processing Environment for European Health Data Space . IEEE Access vol. 13 , 34627 - 34638 .
Oronti IB, Haleem MS, Pecchia L, Popham T ( 2025 ) . Optimizing Classification of Congestive Heart Failure Using Feature Weight Importance Correlation . Medical Information Computing , vol. 2240 , Springer Nature
Rotbei S, Tseng WH, Merino-Barbancho B, Haleem MS, Montesinos L, Pecchia L, Fico G, Botta A ( 2024 ) . Evaluating impact of movement on diabetes via artificial intelligence and smart devices systematic literature review . Expert Systems with Applications vol. 257 ,
Rotbei S, Mocerino GE, Haleem MS, Pecchia L, Botta A ( 2024 ) . Frequency and Uncertainty Driven Deep Learning Approach to Segment Electrocardiogram Signals for Effective Heart Parameters Estimation . Conference: 2024 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) vol. 00 , 1 - 8 .
Ellison M, Haleem MS, Bannister J ( 2024 ) . Qualifying the volumes of Mental Ill Health incident dealt with by Greater Manchester Police (GMP) . Presented at: N8 Policing research conference on mental health ,
Haleem MS, Cisuelo O, Andellini M, Castaldo R, Angelini M, Ritrovato M, Schiaffini R, Franzese M et al. ( 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 vol. 92 ,
Andellini M, Castaldo R, Cisuelo O, Franzese M, Haleem MS, Ritrovato M, Pecchia L, 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 vol. 212 ,
Sassi M, Haleem MS, Pecchia L ( 2024 ) . Spectrogram-Based Approach with Convolutional Neural Network for Human Activity Classification . IFMBE Proceedings . vol. 94 , 387 - 401 .
Cisuelo O, Haleem MS, Hattersley J, Pecchia L ( 2024 ) . Spectrogram-Driven Convolutional Neural Network for Real-Time Non-invasive Hyperglycaemia Detection in Paediatric Type-1 Diabetes via Wearable Sensors . IFMBE Proceedings . vol. 94 , 376 - 386 .
Haleem MS ( 2023 ) . Advances in Artificial Intelligence, Machine Learning and Deep Learning Applications . Electronics vol. 12 , ( 18 )
Maccaro A, Pagliara SM, Zarro M, Piaggio D, Abdulsalami F, Su W, Haleem MS, Pecchia L ( 2023 ) . Ethics and biomedical engineering for well-being: a cocreation study of remote services for monitoring and support . Scientific Reports vol. 13 , ( 1 )
Haleem MS, Ekuban A, Antonini A, Pagliara S, Pecchia L, Allocca C ( 2023 ) . Deep-Learning-Driven Techniques for Real-Time Multimodal Health and Physical Data Synthesis . Electronics vol. 12 , ( 9 )
Cisuelo O, Stokes K, Oronti IB, Haleem MS, Barber TM, Weickert MO, Pecchia L, 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 vol. 13 , ( 4 )
Andellini M, Haleem S, Angelini M, Ritrovato M, Schiaffini R, Iadanza E, Pecchia L ( 2023 ) . Artificial intelligence for non-invasive glycaemic-events detection via ECG in a paediatric population: study protocol . Health and Technology vol. 13 , ( 1 ) 145 - 154 .
Jossou TR, Tahori Z, Houdji G, Medenou D, Lasfar A, Sanya F, Ahouandjinou MH, Pagliara SM et al. ( 2022 ) . N-Beats as an EHG Signal Forecasting Method for Labour Prediction in Full Term Pregnancy . Electronics vol. 11 , ( 22 )
Haleem MS, Pecchia L ( 2022 ) . A Deep Learning Based ECG Segmentation Tool for Detection of ECG Beat Parameters . Conference: 2022 IEEE Symposium on Computers and Communications (ISCC) vol. 00 , 1 - 4 .
Allocca C, Jilali S, Ail R, Lee J, Kim B, Antonini A, Motta E, Schellong J et al. ( 2022 ) . Toward a Symbolic AI Approach to the WHO/ACSM Physical Activity & Sedentary Behavior Guidelines . Applied Sciences vol. 12 , ( 4 )
Haleem MS, Castaldo R, Pagliara SM, Petretta M, Salvatore M, Franzese M, Pecchia L ( 2021 ) . Time adaptive ECG driven cardiovascular disease detector . Biomedical Signal Processing and Control vol. 70 ,
Langton S, Bannister J, Ellison M, Haleem MS, 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 vol. 15 , ( 3 ) 1963 - 1976 .
Ellison M, Bannister J, Do Lee W, Haleem MS ( 2021 ) . Understanding policing demand and deployment through the lens of the city and with the application of big data . Urban Studies vol. 58 , ( 15 ) 3157 - 3175 .
Lee WD, Haleem MS, Ellison M, 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 vol. 27 , ( 3 ) 375 - 395 .
Haleem MS, Do Lee W, Ellison M, 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 vol. 27 , ( 3 ) 335 - 352 .
Haleem MS, Han L, Harding PJ, Ellison M ( 2019 ) . An Automated Text Mining Approach for Classifying Mental-Ill Health Incidents from Police Incident Logs for Data-Driven Intelligence . Conference: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) vol. 00 , 2279 - 2284 .
Haleem MS, Han L, Hemert JV, Li B, Fleming A, Pasquale LR, Song BJ ( 2017 ) . A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis . Journal of Medical Systems vol. 42 , ( 1 )
Han L, Haleem MS, Sobeih T, Liu Y, Soroka A, Han L ( 2017 ) . An Automated Cloud-based Big Data Analytics Platform for Customer Insights . Conference: 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)287 - 292 .
Soroka A, Liu Y, Han L, Haleem MS ( 2017 ) . Big Data Driven Customer Insights for SMEs in Redistributed Manufacturing . Procedia CIRP vol. 63 , 692 - 697 .
Han L, Haleem MS, Taylor M ( 2016 ) . Automatic Detection and Severity Assessment of Crop Diseases Using Image Pattern Recognition . Emerging Trends and Advanced Technologies for Computational Intelligence , vol. 647 , Springer Nature
Haleem MS, Han L, Hemert JV, Fleming A, Pasquale LR, Silva PS, Song BJ, 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 vol. 40 , ( 6 )
Haleem MS, Han L, van Hemert J, Fleming A ( 2015 ) . Glaucoma classification using Regional Wavelet Features of the ONH and its surroundings . Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) . Conference: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) vol. 2015 , 4318 - 4321 .
Han L, Haleem MS, Taylor M ( 2015 ) . A Novel Computer Vision-Based Approach to Automatic Detection and Severity Assessment of Crop Diseases . Conference: 2015 Science and Information Conference (SAI)638 - 644 .
Haleem MS, Han L, van Hemert J, Li B, Fleming A ( 2014 ) . Retinal Area Detector From Scanning Laser Ophthalmoscope (SLO) Images for Diagnosing Retinal Diseases . IEEE Journal of Biomedical and Health Informatics vol. 19 , ( 4 ) 1472 - 1482 .
Haleem MS, Han L, van Hemert J, Li B, Fleming A ( 2014 ) . Superpixel Based Retinal Area Detection in SLO Images . Computer Vision and Graphics , vol. 8671 , Springer Nature
Haleem MS, Han L, van Hemert J, Li B ( 2013 ) . Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review . Computerized Medical Imaging and Graphics vol. 37 , ( 7-8 ) 581 - 596 .
Haleem MS, Han L, Li B, Nisbet A, Hemert JV, Verhoek M ( 2013 ) . Automatic Extraction of the Optic Disc Boundary for Detecting Retinal Diseases . Conference: Computer Graphics and Imaging / 798: Signal Processing, Pattern Recognition and Applications
Haleem MS, Haider MA, Yetik S ( 2011 ) . A TASK-BASED APPROACH TO PARAMETRIC IMAGING WITH DYNAMIC CONTRAST ENHANCED MRI . Conference: 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro746 - 749 .
Haleem MS ( 2008 ) . Voice Controlled Automation System . Conference: 2008 IEEE International Multitopic Conference508 - 512 .
Castaldo R, Haleem MS, Stokes K, Oronti I, Franzese M, Pecchia L . Artificial intelligence for reliable medical technologies in low resources settings . Biomedical Engineering for Sustainable Development ,
Haleem MS, Lee WD, Bannister J . Daily Rhythms 1: Population Denominators and Spatio-Temporal Crime Hotspots . Conference: 17th Annual Conference of the European Society of Criminology
Lee WD, Haleem MS, Bannister J . Daily Rhythms 2: travel purpose, activity spaces and the spatio-temporal patterning of crime . Conference: 17th Annual Conference of the European Society of Criminology
Haleem S, Castaldo R, Andellini M, Cisuelo O, Hattersley J, Pecchia L . Estimation of ECG Parameters via Deep Learning based ECG Segmentation Tool for Non-invasive Detection of Glycaemic Events .
Maccaro A, Pagliara SM, Zarro M, Piaggio D, Abdulsalami F, Su W, Haleem MS, Pecchia L . Ethics and Biomedical Engineering for Wellbeing: a cocreation study for informing the design of a remote service of monitoring and support .
Langton S, Bannister J, Ellison M, Haleem S, Krzemieniewska-Nandwani K . 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 .
Ellison M, Haleem MS, Krzemieniewska-Nandwani K, Bannister J . The extent and nature of Knife Crime in Greater Manchester . Greater Manchester Police
Haleem MS, Ellison M . The scale, nature and spatio-temporal patterning of mental health-related incidents: Insights from text mining police incident logs . Conference: 18th European Society of Criminology
Ellison M, Haleem MS, Bannister J . Understanding Mental Health Demand using a text mining approach .
Ellison M, Haleem MS, Lee WD . Understanding police demands and deployment across space and time . Conference: 19th European Society of Criminology,
Ellison M, Haleem MS, Krzemieniewska-Nandwani K, Bannister J . ’Understanding ‘Missing from Homes’ demand in Greater Manchester .
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