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.
PhD. Computing -- Manchester Metropolitan University, April, 2015.
MS. Electrical Engineering -- Illinois Institute of Technology, Chicago, USA, 2011.
PhD research project entitled "Automatic Extraction of Retinal Features to Assist Glaucoma Diagnosis" has been in collaboration with EPSRC and Optos, plc
A research project entitled "Automatic Detection and Severity Assessment of Crop Diseases " has been in collaboration with FERA
MS. Haleem, WD. Lee, M. Ellison, J. Bannister (2021). 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.
MS. Haleem, L. Han, J. van Hemert, B. Li, A. Fleming, et al. LR. Pasquale, BJ. Song. (2018). A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis. JOURNAL OF MEDICAL SYSTEMS. 42(1),
MS. Haleem, L. Han, JV. Hemert, A. Fleming, LR. Pasquale, et al. PS. Silva, BJ. Song, LP. Aiello. (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),
L. Han, MS. Haleem, M. Taylor (2016). Automatic Detection and Severity Assessment of Crop Diseases Using Image Pattern Recognition. EMERGING TRENDS AND ADVANCED TECHNOLOGIES FOR COMPUTATIONAL INTELLIGENCE. 647, pp.283-300.
MS. Haleem, L. Han, J. van Hemert, B. Li, A. Fleming (2015). Retinal area detector from scanning laser ophthalmoscope (SLO) images for diagnosing retinal diseases. IEEE J Biomed Health Inform. 19(4), pp.1472-1482.
MS. Haleem, L. Han, J. van Hemert, B. Li, A. Fleming (2014). Superpixel Based Retinal Area Detection in SLO Images. COMPUTER VISION AND GRAPHICS, ICCVG 2014. 8671, pp.254-261.
MS. Haleem, L. Han, J. van Hemert, B. Li (2013). Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: a review. Comput Med Imaging Graph. 37(7-8), pp.581-596.
MS. Haleem, WD. Lee, M. Ellison, J. Bannister (2021). 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.
MS. Haleem, L. Han, J. van Hemert, B. Li, A. Fleming, et al. LR. Pasquale, BJ. Song. (2018). A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis. JOURNAL OF MEDICAL SYSTEMS. 42(1),
MS. Haleem, L. Han, JV. Hemert, A. Fleming, LR. Pasquale, et al. PS. Silva, BJ. Song, LP. Aiello. (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),
L. Han, MS. Haleem, M. Taylor (2016). Automatic Detection and Severity Assessment of Crop Diseases Using Image Pattern Recognition. EMERGING TRENDS AND ADVANCED TECHNOLOGIES FOR COMPUTATIONAL INTELLIGENCE. 647, pp.283-300.
MS. Haleem, L. Han, J. van Hemert, B. Li, A. Fleming (2015). Retinal area detector from scanning laser ophthalmoscope (SLO) images for diagnosing retinal diseases. IEEE J Biomed Health Inform. 19(4), pp.1472-1482.
MS. Haleem, L. Han, J. van Hemert, B. Li, A. Fleming (2014). Superpixel Based Retinal Area Detection in SLO Images. COMPUTER VISION AND GRAPHICS, ICCVG 2014. 8671, pp.254-261.
MS. Haleem, L. Han, J. van Hemert, B. Li (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.
MS. Haleem, L. Han, J. van Hemert, B. Li (2013). Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: a review. Comput Med Imaging Graph. 37(7-8), pp.581-596.
M. Ellison, M. Haleem, WD. Lee (2019). Understanding police demands and deployment across space and time. 19th Annual Conference on European Society of Criminology 2019, Ghent, Belgium,
M. Haleem, M. Ellison The scale, nature and spatio-temporal patterning of mental health-related incidents: Insights from text mining police incident logs.
M. Haleem, M. Ellison (2019). The scale, nature and spatio-temporal patterning of mental health-related incidents: Insights from text mining police incident logs.
MS. Haleem, L. Han, J. van Hemert, A. Fleming (2015). Glaucoma classification using Regional Wavelet Features of the ONH and its surroundings. In: Annu Int Conf IEEE Eng Med Biol Soc. United States, 25/8/2015. pp.4318-4321.
L. Han, MS. Haleem, M. Taylor (2015). A novel computer vision-based approach to automatic detection and severity assessment of crop diseases. In: 2015 Science and Information Conference (SAI). Sci & Informat Org, London, ENGLAND, 28/7/2015. pp.638-644.
MS. Haleem, L. Han, B. Li, A. Nisbet, JV. Hemert, et al. M. Verhoek. (2013). Automatic Extraction of the Optic Disc Boundary for Detecting Retinal Diseases. In: Computer Graphics and Imaging / 798: Signal Processing, Pattern Recognition and Applications. pp.40-47.
MS. Haleem, MA. Haider, IS. Yetik (2011). A task-based approach to parametric imaging with dynamic contrast enhanced MRI. In: 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Chicago, IL, 30/3/2011. pp.746-749.
MS. Haleem (2008). Voice controlled automation system. In: 2008 IEEE International Multitopic Conference. Bahria Univ, Karachi, PAKISTAN, 23/12/2008. pp.508-512.
M. Ellison, M. Haleem, K. Krzemieniewska-Nandwani, J. Bannister The extent and nature of Knife Crime in Greater Manchester. , Greater Manchester Police.
M. Ellison, M. Haleem, K. Krzemieniewska-Nandwani, J. Bannister Understanding ‘Missing from Homes’ demand in Greater Manchester. , Greater Manchester Police.
M. Ellison, M. Haleem, J. Bannister Understanding Mental Health Demand using a text mining approach. , Greater Manchester Police.
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).
• 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.
• Professional member of IEEE.
• Member of Pakistan Engineering Council (PEC)