Dr. Muhammad Moazam Fraz
Assistant Professor
Department of Computing

School of Electrical Engineering and Computer Science (SEECS)
National University of Sciences and Technology (NUST)
NUST Campus H-12, Islamabad
Tel: -
Email: moazam.fraz at seecs.edu.pk
Web: http://scholar.google.co.uk/citations?user=tpfgan0AAAAJ&hl=en

Specialization:
Computer Vision, Deep Learning, Medical Image Analysis, Visual surveillance, Human Activity Recognition, Scene / Semantic understanding

Education:
PhD – Computer Science - (Medical Image Analysis/Computer Vision) – Kingston University London, United Kingdom (2013)

Dr. Muhammad Moazam Fraz completed his PhD (Computer Science) from Faculty of Science Engineering and Computing, Kingston University London in 2013. His research area was application of machine learning / computer vision techniques for diagnostic retinal image analysis. His PhD thesis was nominated for IET excellence awards 2013. After completing his PhD, he has worked as post doc researcher at Kingston University in collaboration with St George’s University of London and UK BioBank on the development of an automated software tool for epidemiologists to quantify and measure retinal vessels morphology and size; determine the width ratio of arteries and veins as well as the vessel tortuosity index on very large datasets, to enable them to link systemic and cardiovascular disease to the retinal vessel characteristics. Afterwards, he has joined NUST SEECS as Assistant Professor in June 2014.

Dr. Fraz received his MS and BS degrees in Software Engineering in 2008 and 2003 respectively. He was the recipient of two Gold Medals for 'Best Graduate Award' and 'Securing Top Position in the batch'. He has started his career in 2003 as a Software Development Engineer at Elixir Technologies Corporation, a California based software Company. He has served with Elixir until 2010 at various roles and capacities including software developer, development manager and program manager. He is a PMI (www.pmi.org) certified Project Management Professional (PMP).

He has been selelcted as Rutherford Visiting Fellow to work at The Alan Turing Institute, UK's National Center for Datasciece and AI. At present he is on leave from NUST SEECS to avail this fellowship.

Research Interest

- Computer Vision, Deep Learning, Medical Image Analysis, Computational Pathology, Visual Surveillance, Human Activity Recognition, Scene / Semantic understanding, Data Science and Cognitive Computing

Research Experience

Post-Doctoral Research Fellow, Kingston University London
June 2013 – June 2014 (1 year )

Details: Worked on project QUARTZ (QUantitative Analysis of Retinal vessel Topology and siZe) in collaboration with St Georges University of London. The project aims to develop an automated software tool for epidemiologists to quantify and measure retinal vessels morphology and size; determine the width ratio of arteries and veins as well as the vessel tortuosity index on very large datasets, to enable them to link systemic and cardiovascular disease to the retinal vessel characteristics.

Rutherford Visiting Fellow, The Alan Turing Institute, London UK
March 2018 – Present (5 months )

Details: Development of deep learning-based histopathological analytics for oral cancer detection and estimation. The aim is to develop novel deep learning methods for the analysis of whole-slide images (WSI) of oral cancer tissue slides, particularly for segmentation of tumour-rich regions in these images and quantification of important histological patterns (such as vascular invasion and perineural invasion).

Accurate identification and quantification of histological patterns and tumour areas in the oral cancer WSIs are crucial for determining the cancer grade in an objective manner and for better, systematic stratification of patients for personalised treatment of cancer. This fellowship will contribute towards world-leading expertise in the area of cancer image analytics at the Turing, with health and wellbeing as the main targeted application area of the research activity.

Senior Research Fellow, Tissue Image Analytics Lab, The University of Warwick
March 2018 – Present (5 months )

Details: As a member of Tissue Image Analytics Lab, He is on deep learning-based histopathological analytics for oral cancer detection, estimation, patient stratification and survival analysis. He is involved in development of novel deep learning methods for analysis of whole-slide images (WSI) of oral cancer tissue slides, particularly for segmentation of tumour-rich regions in these images and quantification of important histological patterns (such as vascular invasion and perineural invasion).

Journal Papers

Christopher G Owen, Alicja R Rudnicka, Roshan A Welikala, M. Moazam Fraz, Sarah A Barman, Robert Luben, Shabina A Hayat, Kay-Tee Khaw, David P Strachan, Peter H Whincup, Paul J Foster, "Retinal vasculometry associations with cardiometabolic risk factors in the European Prospective Investigation of Cancer Norfolk study", Ophthalmology, pp. , Jul, 2018.

M. N. Zahoor, M. M. Fraz, "A Correction to the Article “Fast Optic Disc Segmentation in Retina Using Polar Transform”", IEEE Access, Vol. 6, pp. 4845 - 4849, Jan, 2018.

M. M Fraz, W. Jahangir, S. Zahid, M. M. Hamayun, S. A. Barman , "Multiscale segmentation of exudates in retinal images using contextual cues and ensemble classification", Biomedical Signal Processing and Control, Vol. 35, pp. 50-62, May, 2017.

RA Welikala, M.M. Fraz, PJ Foster, PH Whincup, AR Rudnicka, CG Owen, DP Strachan, SA Barman, "Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies", Computers in Biology and Medicine, Vol. 71, No. 1, pp. 67–76, Apr, 2016.

M. Abdullah, M.M. Fraz, S.A. Barman, "Localization and segmentation of optic disc in retinal images using Circular Hough transform and Grow Cut algorithm", PeerJ, Vol. 4, No. 1, pp. 1-23, Apr, 2016.

M.M. Fraz, R.A. Welikala, A.R. Rudnicka, C.G. Owen, D.P. Strachan, S.A. Barman, "QUARTZ: Quantitative Analysis of Retinal Vessel Topology and size – An automated system for quantification of retinal vessels morphology", Expert Systems with Applications, Vol. 42, No. 20, pp. 7221, Nov, 2015.

R.A. Welikala, M.M. Fraz, T.H. Williamson, S.A. Barman, "The automated detection of proliferative diabetic retinopathy using dual ensemble classification", International Journal of Diagnostic Imaging, Vol. 2, No. 2, Sep, 2015.

R.A. Welikala, M.M. Fraz, J. Dehmeshki, A. Hoppe, V. Tah, S. Mann, T.H. Williamson, S.A. Barman, "Genetic algorithm based feature selection combined with dual classification for the automated detection of proliferative diabetic retinopathy", Computerized Medical Imaging and Graphics, Vol. 43, No. 7, pp. 64-77, Jul, 2015.

A. Basit, M.M.Fraz, "Optic disc detection and boundary extraction in retinal images", Applied Optics, Vol. 54, No. 11, pp. 3440-3447, Apr, 2015.

M.M. Fraz, A. R. Rudnicka, C. G. Owen, S. A. Barman, "Delineation of blood vessels in paediatric retinal images using decision trees-based ensemble classification.", International journal of computer assisted radiology and surgery, Vol. 9, No. 5, pp. 795-811, Sep, 2014.

M.M. Fraz, A. Basit, S. A. Barman, "Application of Morphological Bit Planes in Retinal Blood Vessel Extraction", Journal of Digital Imaging, Vol. 26, No. 2, pp. 274-286, Apr, 2013.

M.M. Fraz, P. Remagnino, A. Hoppe, A. Rudnicka, C.G. Owen, P. H. Whincup, S.A. Barman, "Quantification of blood vessel calibre in retinal images of multi-ethnic school children using model based approach", Computerized Medical Imaging and Graphics, Vol. 37, No. 1, pp. 48-60, Jan, 2013.

M.M. Fraz, S.A. Barman, P. Remagnino, A. Hoppe, A. Basit, B. Uyyanonvara, A.R. Rudnicka, C.G. Owen, "An approach to localize the retinal blood vessels using bit planes and centerline detection", Computer Methods and Programs in Biomedicine, Vol. 108, No. 2, pp. 600-616, Nov, 2012.

M.M. Fraz, P. Remagnino, A. Hoppe, B. Uyyanonvara, A.R. Rudnicka, C.G. Owen, S.A. Barman, "Blood vessel segmentation methodologies in retinal images – A survey", Computer Methods and Programs in Biomedicine, Vol. 108, No. 1, pp. 407-433, Oct, 2012.

M.M. Fraz, P. Remagnino, A. Hoppe, B. Uyyanonvara, A.R. Rudnicka, C.G. Owen, S.A. Barman, "An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation", IEEE Transactions on Biomedical Engineering, Vol. 59, No. 9, pp. 2538-2548, Sep, 2012.

Conference Papers

M.M.Fraz, M.Shaban, S.Graham, S.A.Khurram, N.M.Rajpoot, "Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images", Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention, Sep, 2018, Granada Spain.

Sajid Javed, M.M. Fraz, David Epstein, David Snead, and Nasir M. Rajpoot, "Cellular Community Detection for Tissue Classification", Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention, Sep, 2018, Granada Spain.

M. Bader, M. Shahzad, M. M. Fraz, "Simultaneous Segmentation of Multiple Retinal Pathologies Using Fully Convolutional Deep Neural Network", Proceedings of the 22nd Conference on Medical Image Understanding and Analysis 2018, Jul, 2018, Southempton United Kingdom.

Sufian AlBadawi, M.M. Fraz, "Arterioles and Venules Classification in Retinal Images Using Fully Convolutional Deep Neural Network", Proceedings of the 15th International Conference Image Analysis and Recognition, pp. 659-668, Jun, 2018, Póvoa de Varzim Portugal.

Naima Mubariz, Saba Mumtaz, M. M. Hamayun and M. M. Fraz, "Optimization of Person Re-Identification through Visual Descriptors", Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, pp. 348-355, Jan, 2018, Funchal, Madeira Portugal.

S. Mumtaz, N. Mubariz , S. Saleem, M. M. Fraz, "Weighted hybrid features for person re-identification", Proceedings of the 7th International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017 , Dec, 2017, Montreal, QC Canada.

M. Abdullah and M. M. Fraz, "Application of grow cut algorithm for localization and extraction of optic disc in retinal images", Proceedings of the 12th International Conference on High-capacity Optical Networks and Enabling/Emerging Technologies (HONET), Dec, 2015, Islamabad Pakistan.

RA Welikala, MM Fraz, S Hayat, AR Rudnicka, PJ Foster, PH Whincup, CG Owen, DP Strachan, SA Barman, "Automated retinal vessel recognition and measurements on large datasets", Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, pp. 5239 - 5242, Aug, 2015, Milan Italy.

M.M. Fraz, A.R. Rudnicka, C.G. Owen, D.P. Strachan, S.A. Barman, "Automated Arteriole and Venule Recognition in Retinal Images using Ensemble Classification", Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISAAP), Jan, 2014, Lisbon Portugal.

M.M. Fraz, P. Remagnino, A. Hoppe, S.A. Barman, "Retinal image analysis aimed at extraction of vascular structure using linear discriminant classifier", Proceedings of the IEEE International Conference on Computer Medical Applications ICCMA' 2013 , Jan, 2013, Sousse Tunisia.

M.M. Fraz, P. Remagnino, A. Hoppe, A. Rudnicka, C.G. Owen, P. H. Whincup, S.A. Barman, "A model based approach for vessel calibre measurement in retinal images", Proceedings of the 8th International Conference on Signal Image Technology & Internet Based Systems (SITIS), Nov, 2012, Sorrento Italy.

M.M. Fraz, P. Remagnino, A. Hoppe, B. Uyyanonvara, A. Rudnicka, C.G. Owen, S.A. Barman, "Retinal vessel segmentation using ensemble classifier of bagged decision trees", Proceedings of the IET Conference on Image Processing , Jul, 2012, London United Kingdom.

M.M. Fraz, P. Remagnino, A. Hoppe, S. Velastin, B. Uyyanonvara, S.A. Barman, "A Supervised Method for Retinal Blood Vessel Segmentation Using Line Strength, Multiscale Gabor and Morphological Features", Proceedings of the IEEE International Conference on Signal & Image Processing Applications, Nov, 2011, Kuala Lumpur Malaysia.

M.M. Fraz, A. Basit, P. Remagnino, A. Hoppe, S.A. Barman, "Retinal vasculature segmentation by morphological curvature, reconstruction and adapted hysteresis thresholding", Proceedings of the 7th International Conference on Emerging Technologies (ICET 2011) , pp. , Sep, 2011, Islamabad Pakistan.

M.M. Fraz, M.Y. Javed, A. Basit, "Evaluation of Retinal Vessel Segmentation Methodologies Based on Combination of Vessel Centerlines and Morphological Processing", Proceedings of the 4th IEEE International Conference on Emerging Technologies (ICET 2008), pp. , Oct, 2008, Islamabad Pakistan.

M.M. Fraz, M.Y. Javed, A. Basit, "Retinal Vessels Extraction Using Bitplanes", Proceedings of the 8th IASTED International Conference on Visualization, Imaging, and Image Processing, Sep, 2008, Palma De Mallorca Spain.

A. Ahmed, M.M. Fraz, F.A. Zahid, "Some results of experimentation with extreme programming paradigm", Proceedings of the 7th International Multi Topic Conference (INMIC 2003), pp. , Dec, 2003, Islamabad Pakistan.

M.A. Jan, F.A. Zahid, M.M. Fraz, Arshad Ali, "Exploiting peer group concept for adaptive and highly available services", Proceedings of the Computing in High Energy and Nuclear Physics (CHEP 03), pp. , Mar, 2003, La Jolla California United States.

Books/Chapters Published

[Chapter]M.M. Fraz, S.A. Barman, "Image Analysis and Modelling in Ophthalmology / Computer vision algorithms applied to retinal vessel segmentation and quantification of vessel calibre", CRC Press Tayler and Francis, Ed. DOI:10.120, ISBN 978-1-4665-5938, Feb, 2014.

[Chapter]M.M. Fraz, S.A. Barman, "Image Analysis and Modelling in Ophthalmology / Ensemble classification applied to retinal blood vessel segmentation: Theory and Implementation", CRC Press Tayler and Francis, Vol. DOI: 10.12, ISBN 978-1-4665-5938-7, Feb, 2014.

[Chapter]M.M. Fraz, P. Remagnino, A. Hoppe, B. Uyyanonvara, A. Rudnicka, C. Owen, S. Barman, "Image Analysis and Recognition / Ensemble Classification System Applied for Retinal Vessel Segmentation on Child Images Containing Various Vessel Profiles", Springer Berlin / Heidelberg, Jul, 2012.

[Chapter]M.M. Fraz, P. Remagnino, A. Hoppe, B. Uyyanonvara, A. Rudnicka, C. Owen, S. Barman, "Advances in Visual Computing / Retinal Vessel Extraction Using First-Order Derivative of Gaussian and Morphological Processing", Springer Berlin / Heidelberg, Nov, 2011.

Assistant Professor , SEECS NUST
June 2014 – Present (4 years 2 months )

Details:
Summer 2014 : Software Quality Engineering (PG)
Fall 2014: Software Engineering (UG)
Spring 2015: Software Construction (UG)
Fall 2015: Software Project Management (UG)
Spring 2016: Advanced Image Processing (PG)
Fall 2016: Digital Image Processing (UG)
Spring 2017: Advanced Image Processing (PG)
Spring 2017: Computer Vision (UG)
Fall 2017: Digital Image Processing (UG)
Spring 2018 : Machine Learning (UG)

Software Engineer / Senior Software Engineer / Principal Software Engineer, Elixir Technologies
August 2003 – March 2010 (6 years 7 months )

Details: During my stay at elixir, my responsibilities includes design, development, implementation, maintenance, release process management, project roll-outs, troubleshooting and project management of the Elixir's software products OPUS and TANGO. I had been primarily involved in end-to-end product development and maintenance life cycle; using various development tool and methodologies

Program Manager, Machsol Pakistan
March 2010 – June 2010 (3 months )

Details: MachSol Pakistan (www.machsol.com) is a leading developer of SaaS enabled hosted service delivery platform and web hosting control panel named as MachPanel.
Responsibilities:I was responsible for creating and smooth execution of project work plans. Management of day-to-day operational aspects of the product and scope. Coordination between designers, programmers, service providers and the clients. Responsible for planning and executing the strategic growth and development of the organization.

Highlights

- Experienced in the design, development, and implementation of large-scale software applications and end-to-end product development and maintenance life cycle.


- A decade of hands on software development experience in multiple software development tools, technologies, languages and platforms and product development models.