My profile

Biography

I have more than five years of research experience in data mining, machine learning and data analytics. Research experience includes synthesizing complex health data and development of novel algorithms for development of classification model between healthy and diseased data. I have worked on collaborative research projects; published several publications in reputed journals and conference proceedings. I am proficient in algorithm design, programming languages and software packages related to Machine Learning, Data Mining. Experience in demonstrating programming sessions and student project supervision.

Expert reviewer for external funding bodies

Referee of several journals and conference proceedings including IEEE Transactions of Biomedical Engineering, Elsevier Journal of Computer in Biology and Medicine, International Journal of Computer Systems Science and Engineering, IEEE Conference of Systems, Man, and Cybernetics (SMC).

Prizes and awards

• Finalist —> UK ICT Pioneer 2015 competition for most exceptional thesis.
• Recipient of Dorothy Hodgkin Postgraduate Award (DHPA) by Engineering and Physical Sciences Research Council (EPSRC), UK for pursuing PhD.
 

Membership of professional associations

• Professional member of IEEE.
• Member of Pakistan Engineering Council (PEC)
 

Research outputs

  • Machine Learning
  • Data mining and Data Analytics
  • Text Mining
  • Computer Vision and Image Processing
  • Reports

    Ellison, M., Haleem, M., Krzemieniewska-Nandwani, K., Bannister, J. The extent and nature of Knife Crime in Greater Manchester.

    Ellison, M., Haleem, M., Krzemieniewska-Nandwani, K., Bannister, J. (2019) Understanding ‘Missing from Homes’ demand in Greater Manchester.

    Ellison, M., Haleem, M., Bannister, J. Understanding Mental Health Demand using a text mining approach.

  • Journal articles

    Ellison, M., Bannister, J., Lee, W.D., Haleem, M. (2021) 'Understanding policing demand and deployment through the lens of the city and with the application of big data.' Urban Studies: an international journal for research in urban studies, 58(15) pp. 3157-3175.

    Lee, W.D., Haleem, M.S., Ellison, M., Bannister, J. (2020) 'The influence of intra-daily activities and settings upon weekday violent crime in public space in Manchester, UK.' European Journal on Criminal Policy and Research, 27(3) pp. 375-395.

    Haleem, M.S., Lee, W.D., Ellison, M., Bannister, J. (2020) 'The ‘Exposed’ Population, Violent Crime in Public Space and the Night-time Economy in Manchester, United Kingdom.' European Journal on Criminal Policy and Research, 27(3) pp. 335-352.

    Haleem, M.S., Han, L., van Hemert, J., Li, B., Fleming, A., Pasquale, L.R., Song, B.J. (2018) 'A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis.' JOURNAL OF MEDICAL SYSTEMS, 42(1)

    Soroka, A., Liu, Y., Han, L., Haleem, M.S. (2017) 'Big Data Driven Customer Insights for SMEs in Redistributed Manufacturing.' Procedia CIRP, 63pp. 692-697.

    Han, L., haleem, M., Taylor, M. (2016) 'Automatic Detection and Severity Assessment of Crop Diseases using Image Pattern Recognition.' Studies in Computational Intelligence,

    Haleem, M.S., Han, L., Hemert, J.V., Fleming, A., Pasquale, L.R., Silva, P.S., Song, B.J., Aiello, L.P. (2016) 'Regional Image Features Model for Automatic Classification between Normal and Glaucoma in Fundus and Scanning Laser Ophthalmoscopy (SLO) Images.' Journal of Medical Systems, 40(6)

    Haleem, M.S., Han, L., Van Hemert, J., Li, B., Fleming, A. (2015) 'Retinal Area Detector From Scanning Laser Ophthalmoscope (SLO) Images for Diagnosing Retinal Diseases.' IEEE Journal of Biomedical and Health Informatics, 19(4) pp. 1472-1482.

    Haleem, M.S., Han, L., van Hemert, J., Li, B., Fleming, A. (2014) 'Superpixel based retinal area detection in SLO images.' Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8671pp. 254-261.

    Haleem, M.S., 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, 37(7-8) pp. 581-596.

    Haleem, M.S., 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,

  • Conference papers

    Haleem, M., Han, L., Harding, P., Ellison, M. (2019) 'An Automated Text Mining Approach for Classifying Mental-Ill Health Incidents from Police Incident Logs for Data-Driven Intelligence.' In Proceedings IEEE Conference on Systems, Man and Cybernetics 2019. Bari, Italy, 6/10/2019 - 9/10/2019. IEEE,

    Ellison, M., Haleem, M., Lee, W.D. (2019) 'Understanding police demands and deployment across space and time.' 19th Annual Conference on European Society of Criminology 2019, Ghent, Belgium,

    Haleem, M., Ellison, M. (2019) 'The scale, nature and spatio-temporal patterning of mental health-related incidents: Insights from text mining police incident logs.' In 18th Annual Conference on European Society of Criminology, Sarajevo, Bosnia.

    Haleem, M., Ellison, M. (2018) 'The scale, nature and spatio-temporal patterning of mental health-related incidents: Insights from text mining police incident logs.' In European society of criminology conference 2018.

    Han, , Haleem, M.S., Sobeih, T., Liu, Y., Soroka, A., Han, L. (2018) 'An Automated Cloud-based Big Data Analytics Platform for Customer Insights.' In 10th IEEE International Conference on Cyber, Physical and Social Computing. Exeter, UK, 21/6/2017 - 23/6/2017. IEEE, pp. 287-292.

    Lee, W.D., Haleem, M.S., Bannister, J. (2017) 'Daily Rhythms 2: travel purpose, activity spaces and the spatio-temporal patterning of crime.' 13/9/2017 - 16/9/2017.

    Haleem, M.S., Lee, W.D., Bannister, J. (2017) 'Daily Rhythms 1: Population Denominators and Spatio-Temporal Crime Hotspots.' 13/9/2017 - 16/12/2017.

    Haleem, M.S., Han, L., Van Hemert, J., Fleming, A. (2015) 'Glaucoma classification using Regional Wavelet Features of the ONH and its surroundings.' 2015-November. pp. 4318-4321.

    Han, L., Haleem, M., Taylor, M. (2015) 'Novel Computer Vision-based Approach to Automatic Detection and Severity Assessment of Crop Diseases.' In IEEE Science and Information Conference (SAI), 2015. London, 28/7/2015 - 30/7/2015. IEEE, pp. 638-644.

    Haleem, M.S., Han, L., Li, B., Nisbet, A., Hemert, J.V., Verhoek, M. (2013) 'Automatic extraction of the Optic Disc Boundary for Detecting Retinal Diseases.'

    Haleem, M.S., Haider, M.A., Yetik, I.S. (2011) 'A task-based approach to parametric imaging with dynamic contrast enhanced MRI.' pp. 746-749.

    Haleem, M.S. (2008) 'Voice controlled automation system.' pp. 508-512.