Dr Muhammad Salman Haleem
Lecturer (Assistant Professor) in Computer Science
Electronic Engineering and Computer Science
Research
Artificial Intelligence, Biomedical Signal and Image Processing, Digital Twin
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 managementPublications
2024
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. Elsevier Expert Systems with Applications vol. 257, Ellison M, Haleem MS and Bannister J (2024). Qualifying the volumes of Mental Ill Health incident dealt with by Greater Manchester Police (GMP). 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. Elsevier Biomedical Signal Processing and Control vol. 92, 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. Elsevier Diabetes Research and Clinical Practice vol. 212, 2023
Haleem MS (2023). Advances in Artificial Intelligence, Machine Learning and Deep Learning Applications. MDPI Electronics vol. 12, (18) 3780-3780. 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. Nature Research Scientific Reports vol. 13, (1) 14322-14322. 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. MDPI Electronics vol. 12, (9) 1989-1989. 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 Publishing Group BMJ Open vol. 13, (4) e067899-e067899. 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. Springer Health and Technology vol. 13, (1) 145-154. 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. MDPI Electronics vol. 11, (22) 3739-3739. 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. MDPI Applied Sciences vol. 12, (4) 1776-1776. 2021
Haleem MS, Castaldo R, Pagliara SM, Petretta M, Salvatore M, Franzese M and Pecchia L (2021). Time adaptive ECG driven cardiovascular disease detector. Elsevier Biomedical Signal Processing and Control vol. 70, 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. Oxford University Press (OUP) Policing A Journal of Policy and Practice vol. 15, (3) 1963-1976. 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. SAGE Publications Urban Studies vol. 58, (15) 3157-3175. 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. Springer European Journal on Criminal Policy and Research vol. 27, (3) 375-395. 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. Springer Nature European Journal on Criminal Policy and Research vol. 27, (3) 335-352. 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. Springer Journal of Medical Systems vol. 42, (1) 20-20. Soroka A, Liu Y, Han L and Haleem MS (2017). Big Data Driven Customer Insights for SMEs in Redistributed Manufacturing. Elsevier Procedia CIRP vol. 63, 692-697. 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. Springer Journal of Medical Systems vol. 40, (6) 132-132. 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 Springer Nature 2015
Haleem MS (2015). Automatic extraction of retinal features to assist diagnosis of glaucoma disease. 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. Institute of Electrical and Electronics Engineers IEEE Journal of Biomedical and Health Informatics vol. 19, (4) 1472-1482. 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 Springer Nature 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. Elsevier Computerized Medical Imaging and Graphics vol. 37, (7-8) 581-596.