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
Evaluating impact of movement on diabetes via artificial intelligence and smart devices systematic literature reviewRotbei S, Tseng WH, Merino-Barbancho B, Haleem MS, Montesinos L, Pecchia L, Fico G and Botta A
Expert Systems With Applications, Elsevier vol. 257
01-12-2024
Qualifying the volumes of Mental Ill Health incident dealt with by Greater Manchester Police (GMP)Ellison M, Haleem MS and Bannister J
01-10-2024
A Self-Attention Deep Neural Network Regressor for real time blood glucose estimation in paediatric population using physiological signalsHaleem MS, Cisuelo O, Andellini M, Castaldo R, Angelini M, Ritrovato M, Schiaffini R, Franzese M and Pecchia L
Biomedical Signal Processing and Control, Elsevier vol. 92
01-06-2024
Are the variations in ECG morphology associated to different blood glucose levels? implications for non-invasive glucose monitoring for T1D paediatric patientsAndellini M, Castaldo R, Cisuelo O, Franzese M, Haleem MS, Ritrovato M, Pecchia L and Schiaffini R
Diabetes Research and Clinical Practice, Elsevier vol. 212
14-05-2024
Spectrogram-based approach with convolutional neural network for human activity classificationSassi M, Haleem MS and Pecchia L
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
Spectrogram-Driven Convolutional Neural Network for Real-Time Non-invasive Hyperglycaemia Detection in Paediatric Type-1 Diabetes via Wearable SensorsCisuelo O, Haleem MS, Hattersley J and Pecchia L
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
Advances in Artificial Intelligence, Machine Learning and Deep Learning ApplicationsHaleem MS
Electronics, Mdpi vol. 12 (18), 3780-3780.
07-09-2023
Ethics and biomedical engineering for well-being: a cocreation study of remote services for monitoring and support.Maccaro A, Pagliara SM, Zarro M, Piaggio D, Abdulsalami F, Su W, Haleem MS and Pecchia L
Scientific Reports, Nature Research vol. 13 (1), 14322-14322.
31-08-2023
Deep-Learning-Driven Techniques for Real-Time Multimodal Health and Physical Data SynthesisHaleem MS, Ekuban A, Antonini A, Pagliara S, Pecchia L and Allocca C
Electronics, Mdpi vol. 12 (9), 1989-1989.
25-04-2023
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.Cisuelo O, Stokes K, Oronti IB, Haleem MS, Barber TM, Weickert MO, Pecchia L and Hattersley J
Bmj Open, Bmj Publishing Group vol. 13 (4), e067899-e067899.
18-04-2023
Artificial intelligence for non-invasive glycaemic-events detection via ECG in a paediatric population: study protocol.Andellini M, Haleem S, Angelini M, Ritrovato M, Schiaffini R, Iadanza E and Pecchia L
Health and Technology, Springer vol. 13 (1), 145-154.
23-01-2023
2022
N-Beats as an EHG Signal Forecasting Method for Labour Prediction in Full Term PregnancyJossou TR, Tahori Z, Houdji G, Medenou D, Lasfar A, Sanya F, Ahouandjinou MH, Pagliara SM, Haleem MS and Et-Tahir A
Electronics, Mdpi vol. 11 (22), 3739-3739.
15-11-2022
A Deep Learning Based ECG Segmentation Tool for Detection of ECG Beat ParametersHaleem MS and Pecchia L
2022 IEEE Symposium on Computers and Communications (ISCC). vol. 00, 1-4.
03-07-2022
Toward a Symbolic AI Approach to the WHO/ACSM Physical Activity & Sedentary Behavior GuidelinesAllocca 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
Applied Sciences, Mdpi vol. 12 (4), 1776-1776.
09-02-2022
2021
Time adaptive ECG driven cardiovascular disease detectorHaleem MS, Castaldo R, Pagliara SM, Petretta M, Salvatore M, Franzese M and Pecchia L
Biomedical Signal Processing and Control, Elsevier vol. 70
01-09-2021
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-serviceLangton S, Bannister J, Ellison M, Haleem MS and Krzemieniewska-Nandwani K
Policing a Journal of Policy and Practice, Oxford University Press (Oup) vol. 15 (3), 1963-1976.
30-07-2021
Understanding policing demand and deployment through the lens of the city and with the application of big dataEllison M, Bannister J, Do Lee W and Haleem MS
Urban Studies, Sage Publications vol. 58 (15), 3157-3175.
26-02-2021
2020
The Influence of Intra-Daily Activities and Settings upon Weekday Violent Crime in Public Spaces in Manchester, UKLee WD, Haleem MS, Ellison M and Bannister J
European Journal on Criminal Policy and Research, Springer vol. 27 (3), 375-395.
10-07-2020
The ‘Exposed’ Population, Violent Crime in Public Space and the Night-time Economy in Manchester, UKHaleem MS, Do Lee W, Ellison M and Bannister J
European Journal on Criminal Policy and Research, Springer Nature vol. 27 (3), 335-352.
20-06-2020
2019
An Automated Text Mining Approach for Classifying Mental-Ill Health Incidents from Police Incident Logs for Data-Driven IntelligenceHaleem MS, Han L, Harding PJ and Ellison M
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). vol. 00, 2279-2284.
09-10-2019
2017
A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis.Haleem MS, Han L, Hemert JV, Li B, Fleming A, Pasquale LR and Song BJ
Journal of Medical Systems, Springer vol. 42 (1), 20-20.
07-12-2017
Big Data Driven Customer Insights for SMEs in Redistributed ManufacturingSoroka A, Liu Y, Han L and Haleem MS
Procedia Cirp, Elsevier vol. 63, 692-697.
11-07-2017
An Automated Cloud-based Big Data Analytics Platform for Customer InsightsHan L, Haleem MS, Sobeih T, Liu Y and Soroka A
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.
01-06-2017
2016
Regional Image Features Model for Automatic Classification between Normal and Glaucoma in Fundus and Scanning Laser Ophthalmoscopy (SLO) Images.Haleem MS, Han L, Hemert JV, Fleming A, Pasquale LR, Silva PS, Song BJ and Aiello LP
Journal of Medical Systems, Springer vol. 40 (6), 132-132.
16-04-2016
Automatic Detection and Severity Assessment of Crop Diseases Using Image Pattern RecognitionHan L, Haleem MS and Taylor M
In Emerging Trends and Advanced Technologies For Computational Intelligence, Springer Nature 283-300.
01-01-2016
2015
Glaucoma classification using Regional Wavelet Features of the ONH and its surroundingsHaleem MS, Han L, van Hemert J and Fleming A
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). vol. 2015, 4318-4321.
01-08-2015
A Novel Computer Vision-Based Approach to Automatic Detection and Severity Assessment of Crop DiseasesHan L, Haleem MS and Taylor M
2015 Science and Information Conference (SAI)., 638-644.
01-07-2015
Automatic extraction of retinal features to assist diagnosis of glaucoma diseaseHaleem MS
24-04-2015
2014
Retinal area detector from scanning laser ophthalmoscope (SLO) images for diagnosing retinal diseases.Haleem MS, Han L, van Hemert J, Li B and Fleming A
Ieee Journal of Biomedical and Health Informatics, Institute of Electrical and Electronics Engineers vol. 19 (4), 1472-1482.
26-08-2014
Superpixel Based Retinal Area Detection in SLO ImagesHaleem MS, Han L, van Hemert J, Li B and Fleming A
In Computer Vision and Graphics, Springer Nature 254-261.
01-01-2014
2013
Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A reviewHaleem MS, Han L, van Hemert J and Li B
Computerized Medical Imaging and Graphics, Elsevier vol. 37 (7-8), 581-596.
27-09-2013
Automatic Extraction of the Optic Disc Boundary for Detecting Retinal DiseasesHaleem MS, Han L, Li B, Nisbet A, Hemert JV and Verhoek M
Computer Graphics and Imaging / 798: Signal Processing, Pattern Recognition and Applications.
01-01-2013
2011
A TASK-BASED APPROACH TO PARAMETRIC IMAGING WITH DYNAMIC CONTRAST ENHANCED MRIHaleem MS, Haider MA and Yetik S
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro., 746-749.
01-03-2011
2008
Voice Controlled Automation SystemHaleem MS
2008 IEEE International Multitopic Conference., 508-512.
01-12-2008