faculty – National University of Sciences and Technology (NUST)

School of Electrical Engineering & Computer Science

Faculty Muhammad Moazam Fraz

Muhammad Moazam Fraz

HOD Artificial Intelligence and Data Science (DoC)

School of Electrical Engineering & Computer Science (SEECS)
0519085215

Summary

Specialization: AI, Deep Learning, Computer Vision and Data Science; Application areas in Health-care, Visual Surveillance, Remote Sensing, Agriculture-Water-Energy Nexus, Urban Societal Problem

Academic Background

PhD (Computer Vision and Pattern Recognition) Kingston University May 31, 2010 - May 31, 2013

Honours and Awards

UK Alumni Award British Council’s UK Alumni Awards 2020 in the Professional Achievement category February 29, 2020

Rutherford Fellowship Rutherford Visiting Fellow : The Alan Turing Institute United Kingdom (UK's National Center for Data Science and Artificial Intelligence) March 26, 2018

World Top 2% researchers November 19, 2020

Best Graduate Award Gold Medal for 'Best Graduate Award' August 18, 2003

President's Gold Medal Gold Medal for securing Top Position in the batch. August 18, 2003

SEECS Best Researcher SEECS Best Researcher 2020 January 04, 2021

Publications

Attention augmented distance regression and classification network for nuclei instance segmentation and type classification in histology images January 01, 2023 Ghulam Murtaza Dogar, Muhammad Shahzad, Muhammad Moazam Fraz, Biomedical Signal Processing and Control - Volume 79, Part 2, Article Number 104199

Smart surveillance with simultaneous person detection and re-identification July 19, 2022 Nazia Perwaiz, Muhammad Moazam Fraz, Muhammad Shahzad, Multimedia Tools and Applications - Pages 1-22

Per-former: rethinking person re-identification using transformer augmented with self-attention and contextual mapping July 09, 2022 Nazia Perwaiz, Muhammad Moazam Fraz, Muhammad Shahzad, Visual Computer - Pages 1-16

Orientation aware weapons detection in visual data: a benchmark dataset June 27, 2022 Nazeef Ul Haq, Muhammad Moazam Fraz, Tufail Sajjad Shah Hashmi, Muhammad Shahzad, Computing - Pages 1-24

Detection and Grading of Hypertensive Retinopathy Using Vessels Tortuosity and Arteriovenous Ratio January 10, 2022 Sufian Al Badawi, Muhammad Moazam Fraz, Muhammad Shahzad, Imran Mahmood, Sajid Javed, Emad Mosalam, Ajay Kamath Nileshwar, Journal of Digital Imaging - Pages 1-21

PROUD-MAL: static analysis-based progressive framework for deep unsupervised malware classification of windows portable executable October 12, 2021 Syed Khurram Jah Rizwi, Warda Aslam, Muhammad Shahzad, Shahzad Saleem, Muhammad Moazam Fraz, Complex & Intelligent Systems - Pages 1-13

A multiapproach generalized framework for automated solution suggestion of support tickets September 30, 2021 Syed S. Ali Zaidi, Muhammad Moazam Fraz, Muhammad Shahzad, Sharifullah Khan , International Journal of Intelligent Systems - Pages 1-28

Stochastic attentions and context learning for person re-identification May 05, 2021 Nazia Perwaiz, Muhammad Moazam Fraz, Muhammad Shahzad, PeerJ Computer Science - Volume 7, Article Number e447

Spectrum of Advancements and Developments in Multidisciplinary Domains for Generative Adversarial Networks (GANs) April 02, 2021 Syed Khurram Jah Rizwi, Muhammad Ajmal Azad, Muhammad Moazam Fraz, Archives of Computational Methods in Engineering - Pages 1-19

Modeling, simulation and forecasting of wind power plants using agent-based approach December 10, 2020 Imran Mahmood, Mahe Mobeen, Anis-ur-Rahman, Shahzad Younis, Asad Waqar Malik, Muhammad Moazam Fraz, Kafait Ullah, Journal of Cleaner Production - Volume 276, Article Number 124172

Motion Reveal Emotions: Identifying Emotions from Human Walk Using Chest Mounted Smartphone November 15, 2020 Muhammad Arslan Hashmi, Qaiser Riaz, Muhammad Zeeshan, Muhammad Shahzad, Muhammad Moazam Fraz, IEEE Sensors Journal - Volume 20, Issue 22, Pages 13511-13522

DCARN: Deep Context Aware Recurrent Neural Network for Semantic Segmentation of Large Scale Unstructured 3D Point Cloud October 17, 2020 Saba Mehmood, Muhammad Shahzad, Muhammad Moazam Fraz, Neural Processing Letters - Volume 39, Issue 7, Pages 2395-2405

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images July 03, 2020 Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, Yee-Wah Tsang, David Snead, Nasir M Rajpoot, IEEE Transactions on Medical Imaging - Volume 39, Issue 7, Pages 2395-2405

Cellular community detection for tissue phenotyping in colorectal cancer histology images July 01, 2020 Sajid Javaid, Arif Mehmood, Muhammad Moazam Fraz, Navid AlemiKoohbanani, Ksenija Benes, Yee-WahTsang, Katherine Hewitt, David Epstein, David Snead, Nasir M Rajpoot, Medical Image Analysis - Volume 63, Article Number 101696

Multi-sized Object Detection Using Spaceborne Optical Imagery June 05, 2020 Muhammad Haroon, Muhammad Haroon, Muhammad Shahzad, Muhammad Moazam Fraz, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing - Volume 13, Pages 3032-3046

On the frontiers of pose invariant face recognition: a review April 01, 2020 Sheikh Bilal Ahmed, Syed Farooq Ali, Jameel Ahmad, Muhammad Adnan, Muhammad Moazam Fraz, Artificial Intelligence Review - Volume 53, Issue 5, Pages 2571-263

Dense-CaptionNet: a Sentence Generation Architecture for Fine-grained Description of Image Semantics March 02, 2020 Imran Khurram, Muhammad Moazam Fraz, Muhammad Shahzad, Nasir M Rajpoot, Cognitive Computation - Pages 1-27

A vehicular network–based intelligent transport system for smart cities November 14, 2019 Tayyaba Zaheer, Asad Waqar Malik, Anis-ur-Rahman, Ayesha Zahir, Muhammad Moazam Fraz, International Journal of Distributed Sensor Networks. - Volume: 15, issue: 11, Article Number: 1550147719888845

FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer November 03, 2019 Muhammad Moazam Fraz, Syed Ali Khurram, S. Graham, Muhammad Shaban, Maryam Hassan, Asif Loya, Nasir M Rajpoot, Neural Computing and Applications - Pages 1-14

A Novel Digital Score for Abundance of Tumour Infiltrating Lymphocytes Predicts Disease Free Survival in Oral Squamous Cell Carcinoma September 16, 2019 Muhammad Shaban, Syed Ali Khurram, Muhammad Moazam Fraz, Najah Alsubaie, Iqra Masood, Sajid Mushtaq, Mariam Hassan, Asif Loya, Nasir M. Rajpoot, Nature Scientific Reports - Volume 9, Article Number 13341

VR-PROUD: Vehicle Re-identification using PROgressive Unsupervised Deep architecture June 01, 2019 Raja Muhammad Saad Bashir, Muhammad Shahzad, Muhammad Moazam Fraz, Pattern Recognition - PATTERN RECOGNITION Volume: 90 Pages: 52-65, June 2019

DPRNet: Deep 3D Point based Residual Network for Semantic Segmentation and Classification of 3D Point Clouds May 24, 2019 Saira Arshad, Muhammad Shahzad, Qaiser Riaz, Muhammad Moazam Fraz, IEEE Access - Volume: 7, Pages: 68892-68904

Multiloss Function Based Deep Convolutional Neural Network for Segmentation of Retinal Vasculature into Arterioles and Venules April 14, 2019 Sufian Al Badawi, Muhammad M. Fraz, BioMed Research International - BIOMED RESEARCH INTERNATIONAL Article Number: 4747230, 2019

Retinal Vasculometry Associations with Cardiometabolic Risk Factors in the European Prospective Investigation of Cancer-Norfolk Study January 10, 2019 Christopher G. Owen, Alicja R. Rudnicka, Roshan A.Welikala, Muhammad Moazam Fraz, Sarah A. Barman, Robert Luben, Shabina A Hayat, Paul J Foster,, Kay-Tee Khaw, David P Strachan, Peter H Whincup, Ophthalmology - Ophthalmology, Volume: 126, Issue: 1, Pages: 96-106, January 2019

Optimizing the trainable B-COSFIRE filter for retinal blood vessel segmentation November 13, 2018 Sufian Al Badawi, Muhammad M. Fraz, PeerJ - PEERJ Volume: 6 Article Number: e5855, November 2018

Person Re-Identification Using Hybrid Representation Reinforced by Metric Learning November 12, 2018 Nazia Perwaiz, Muhammad Moazam Fraz, Muhammad Shahzad, IEEE Access - IEEE ACCESS Volume: 6 Pages: 77334-77349 , November 2018

Computational Methods for Exudates Detection and Macular Edema Estimation in Retinal Images: A Survey September 19, 2018 Muhammad Moazam Fraz, M. Bader, Dr Asad Waqar Malik, S. A. Barman, Archives of Computational Methods in Engineering - online published on 19 Sep 2018

Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images September 14, 2018 Muhammad Moazam Fraz, M. Shaban, S. Graham, S.A. Khurram, N. M. Rajpoot, Computational Pathology and Ophthalmic Medical Image Analysis - Pages 156-164

Cellular Community Detection for Tissue Phenotyping in Histology Images September 14, 2018 Sajid Javaid, Muhammad Moazam Fraz, David Epstein, David Snead, Nasir Rajpoot, Book on Computational Pathology and Ophthalmic Medical Image Analysis - Pages 120-129

Simultaneous Segmentation of Multiple Retinal Pathologies Using Fully Convolutional Deep Neural Network August 21, 2018 M. Bader, Dr Muhammad Shahzad, Muhammad Moazam Fraz, Medical Image Understanding and Analysis in Communications in Computer and Information Science, vol 894. Springer, Cham - NULL

Arterioles and Venules Classification in Retinal Images Using Fully Convolutional Deep Neural Network June 06, 2018 Sufian Al Badawi, Muhammad Moazam Fraz, Lecture Notes in Computer Science, vol 10882. Springer, Cham - NULL

A Correction to the Article ?Fast Optic Disc Segmentation in Retina Using Polar Transform" January 05, 2018 Muhammad Nauman Zahoor, Muhammad Moazam Fraz, IEEE Access - NULL

Fast Optic Disc Segmentation in Retina Using Polar Transform July 04, 2017 Muhammad Nauman Zahoor, Muhammad Moazam Fraz, IEEE Access, Electronic ISSN:2169-3536, Volume 5, Pages 12293-12300, 04 July 2017 - NULL

Computer Vision Techniques Applied for Diagnostic Analysis of Retinal OCT Images: A Review July 01, 2017 Muhammad Usman, Muhammad Moazam Fraz, Sarah A. Barman, Archives of Computational Methods in Engineering - Volume 24, Issue 3, Pages 449-465

Multiscale segmentation of exudates in retinal images using contextual cues and ensemble classification May 01, 2017 Muhammad Moazam Fraz, Waqas Jahangir, Saqib Zahid, Mian M Hamayun, Sarah A Barman, Biomedical Signal Processing and Control - BIOMEDICAL SIGNAL PROCESSING AND CONTROL Volume: 35 Pages: 50-62, 1 May 2017

Localization and segmentation of optic disc in retinal images using circular Hough transform and grow-cut algorithm May 10, 2016 M. Abdullah, Muhammad Moazam Fraz, S. A. Barman, PeerJ - PEERJ Volume: 4 Article Number: e2003, May 2016

Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies April 01, 2016 RA Welikala, Muhammad Moazam Fraz, PJ Foster, PH Whincup, AR Rudnicka, G Owen, DP Strachan, SA Barman, Computers in Biology and Medicine - COMPUTERS IN BIOLOGY AND MEDICINE Volume: 71 Pages: 67-76, April 2016

QUARTZ: Quantitative Analysis of Retinal Vessel Topology and size - An automated system for quantification of retinal vessels morphology November 15, 2015 Muhammad Moazam Fraz, R.A.Welikala, A.R.Rudnicka, C.G.Owen, D.P.Strachan, S.A.Barman, Expert Systems with Applications, ISSN:0957-4174, Volume 42, Issue 20, Pages 7221-7234, 15 November 2015 - EXPERT SYSTEMS WITH APPLICATIONS Volume: 42 Issue: 20 Pages: 7221-7234, 15 November 2015

Genetic algorithm based feature selection combined with dual classification for the automated detection of proliferative diabetic retinopathy July 01, 2015 R.A.Welikala, Muhammad Moazam Fraz, J. Dehmeshki, A. Hoppe, V. Tah, S. Mann, T.H. Williamson, S. A. Barman, Computerized Medical Imaging and Graphics - Volume 43, Pages 64-77

Optic disc detection and boundary extraction in retinal images April 10, 2015 A. Basit, Muhammad Moazam Fraz, Applied Optics - APPLIED OPTICS Volume: 54 Issue: 11 Pages: 3440-3447, 10 April 2016

Delineation of blood vessels in pediatric retinal images using decision trees-based ensemble classification December 24, 2013 Muhammad Moazam Fraz, Alicja R. Rudnicka, Christopher G. Owen, Sarah A. Barman , International Journal of Computer Assisted Radiology and Surgery - Pages 1-17

Application of Morphological Bit Planes in Retinal Blood Vessel Extraction April 01, 2013 Muhammad Moazam Fraz, Abdul Basit, Sarah A Barman, Journal of Digital Imaging - Volume 26(2), Pages 274–286

Quantification of blood vessel calibre in retinal images of multi-ethnic school children using model based approach February 11, 2013 Muhammad Moazam Fraz, P.Remagnino, A. Hoppe, A.R.Rudnicka, C.G.Owen, P.H.Whincup, Sarah A Barman, Computerized Medical Imaging and Graphics - Volume 37, Issue 1, Pages 48-60

An approach to localize the retinal blood vessels using bit planes and centerline detection November 01, 2012 Muhammad Moazam Fraz, S. A. Barman, P. Remagnino, A. Hoppe, A. Basit, B.Uyyanonvara, A. R. Rudnicka, C. G. Owen, Computer Methods and Programs in Biomedicine - Volume 108, Issue 2, Pages 600–616

Blood vessel segmentation methodologies in retinal images – A survey October 01, 2012 Muhammad Moazam Fraz, P.Remagnino, A.Hoppe, B.Uyyanonvara, A.R.Rudnicka, C.G. Owen, S. A. Barman, Computer Methods and Programs in Biomedicine - Volume 108, Issue 1, Pages 407-433

An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation June 04, 2012 Muhammad Moazam Fraz, P.Remagnino, A.Hoppe, Bunyarit Uyyanonvara, A.R.Rudnicka, C.G. Owen, S. A. Barman, IEEE Transactions on Biomedical Engineering - Volume 59, Issue 9, Pages 2538-2548

Conferences

HistoSeg: Quick attention with multi-loss function for multi-structure segmentation in digital histology images June 07, 2022 - June 10, 2022 Saad Wazir, Muhammad Moazam Fraz, 2022 12th International Conference on Pattern Recognition Systems, ICPRS 2022 -

Enhanced Super-Resolution via Squeeze-and-Residual-Excitation in Aerial Imagery December 13, 2021 - December 14, 2021 Boostan Khan, Muhammad Moazam Fraz, Adeel Mumtaz, 18th International Conference on Frontiers of Information Technology (FIT 2021) -

Progressive Unsupervised Deep Transfer Learning for Forest Mapping in Satellite Image October 11, 2021 - October 17, 2021 Nouman Ahmed, Sudipan Saha, Muhammad Shahzad, Muhammad Moazam Fraz, Xiao Xiang Zhu, International Conference on Computer Vision (ICCV) -

Deep Learning Based Land Cover and Crop Type Classification: A Comparative Study May 20, 2021 - May 21, 2021 Asim Hameed Khan, Muhammad Moazam Fraz, Muhammad Shahzad, International Conference on Digital Futures and Transformative Technologies (ICoDT2) -

Deep Learning for Face Detection: Recent Advancements May 20, 2021 - May 21, 2021 Hafiz Syed Ahmed Qasim, Muhammad Shahzad, Muhammad Moazam Fraz, International Conference on Digital Futures and Transformative Technologies (ICoDT2) -

Rotation Aware Object Detection Model with Applications to Weapons Spotting in Surveillance Videos May 20, 2021 - May 21, 2021 Nazeef Ul Haq, Tufail Sajjad Shah Hashmi, Muhammad Moazam Fraz, Muhammad Shahzad, International Conference on Digital Futures and Transformative Technologies (ICoDT2) -

NLP Meets Vision for Visual Interpretation - A Retrospective Insight and Future directions May 20, 2021 - May 21, 2021 Ahmed Jamshed, Muhammad Moazam Fraz, International Conference on Digital Futures and Transformative Technologies (ICoDT2) -

Large Scale Face Recognition In the Wild: Technical Challenges and Research Directions May 20, 2021 - May 21, 2021 Abdul Mannan Shahid, Muhammad Moazam Fraz, Muhammad Shahzad, International Conference on Digital Futures and Transformative Technologies (ICoDT2) -

Multiscale Unified Network for Simultaneous Segmentation of Nerves and Micro-vessels in Histology Images May 20, 2021 - May 21, 2021 Afia Rasool, Muhammad Moazam Fraz, Sajid Javed, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) -

Feature Attention Network for Simultaneous Nuclei Instance Segmentation and Classification in Histology Images May 20, 2021 - May 21, 2021 G. Murtaza Dogar, Muhammad Moazam Fraz, Sajid Javed, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) -

Attention Based Residual Network for Effective Detection of COVID-19 and Viral Pneumonia May 20, 2021 - May 21, 2021 Muhammad Aasharib Nawshad, Usama Aleem Shami, Sana Sajid, Muhammad Moazam Fraz, International Conference on Digital Futures and Transformative Technologies (ICoDT2) -

Application of Deep Learning for Weapons Detection in Surveillance Videos May 20, 2021 - May 21, 2021 Tufail Sajjad Shah Hashmi, Nazeef Ul Haq, Muhammad Moazam Fraz, Muhammad Shahzad, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) -

Group Activity Recognition in Visual Data: A Retrospective Analysis of Recent Advancements May 20, 2021 - May 21, 2021 Shoaib Sattar, Yahya Sattar, Muhammad Shahzad, Muhammad Moazam Fraz, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) -

IAB-Net: Informative and Attention Based Person Re-Identification May 20, 2021 - May 21, 2021 Rao Faizan, Muhammad Moazam Fraz, Muhammad Shahzad, International Conference on Digital Futures and Transformative Technologies (ICoDT2) -

Plant Disease Identification Using Transfer Learning May 20, 2021 - May 21, 2021 Muhammad Sufyan Arshad, Usman Abdur Rehman, Muhammad Moazam Fraz, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) -

Optimizing features for malware-benign clustering using Windows portable executables April 05, 2021 - April 07, 2021 Warda Aslam, M.M. Fraz, S.K. Rizvi, S. Saleem, 2021 International Conference on Artificial Intelligence, ICAI 2021 -

Multiscale Dilated UNet for Segmentation of Multi-Organ Nuclei in Digital Histology Images December 14, 2020 - December 16, 2020 S.N Rashid, Muhammad Moazam Fraz, Sajid Javed, IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) -

Forecasting of Electricity Generation for Hydro Power Plants December 14, 2020 - December 16, 2020 Umer Javaid, Muhammad Moazam Fraz, Imran Mehmood, Omar Arif, Muhammad Shahzad, Muhammad Shahzad, Muhammad Shahzad, IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET 2020) -

Cross-validation of machine learning algorithms for malware detection using static features of Windows portable executables: A Comparative Study December 14, 2020 - December 16, 2020 Warda Aslam, Muhammad Moazam Fraz, S.K. Rizwi, Shahzad Saleem, IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET 2020) -

Feature-based Optimized Deep Residual Network Architecture for Diabetic Retinopathy Detection November 05, 2020 - November 07, 2020 M Kashif Yaqoob, Syed Farooq Ali, Irfan Kareem, Muhammad Moazam Fraz, IEEE 23rd International Multitopic Conference (INMIC) 2020 -

Smart Visual Surveillance: Proactive Person Re-identification instead of Impulsive Person Search November 05, 2020 - November 07, 2020 N. Pervaiz, Muhammad Moazam Fraz, Muhammad Shahzad, IEEE 23rd International Multitopic Conference (INMIC) 2020 -

Automated Grade Classification of Oral Epithelial Dysplasia using Morphometric Analysis of Histology Images March 15, 2020 - March 20, 2020 Raja Muhammad Saad Bashir, Hanya Mahmood, Muhammad Shaban, Muhammad Moazam Fraz, Shan E. Ahmed Raza, Syed Ali Khurram, Nasir M. Rajpoot, SPIE Medical Imaging, 2020: Digital Pathology -

Hierarchical Refined Local Associations for Robust Person Re-Identification October 21, 2019 - October 22, 2019 N. Pervaiz, Muhammad Moazam Fraz, Muhammad Shahzad, International Conference on Robotics and Automation in Industry (ICRAI) -

End to End Person Re-Identification for Automated Visual Surveillance December 12, 2018 - December 14, 2018 Saadia Batool, Muhammad Zeeshan Ali, Muhammad Shahzad, Muhammad Moazam Fraz, 2018 IEEE International Conference on Image Processing, Applications and Systems (IPAS) -

DUPL-VR: Deep Unsupervised Progressive Learning for Vehicle Re-Identification November 19, 2018 - November 21, 2018 Raja Muhammad Saad Bashir, Muhammad Moazam Fraz, Muhammad Shahzad, International Symposium on Visual Computing -

Two Stream Deep CNN-RNN Attentive Pooling Architecture for Video-Based Person Re-identification November 19, 2018 - November 22, 2018 Wajeeha Ansar, Muhammad Moazam Fraz, Muhammad Shahzad, Imad Gohar, S. Javed, S. K. Jung, Iberoamerican Congress on Pattern Recognition CIARP 2018 -

Detailed sentence generation architecture for image semantics description November 19, 2018 - November 21, 2018 Imran Khurram, Muhammad Moazam Fraz, Muhammad Shahzad, International Symposium on Visual Computing (ISVC) 2018 -

Cellular Community Detection for Tissue Phenotyping in Histology Images September 16, 2018 - September 20, 2018 Sajid Javaid, David Epstein, David Snead, Nasir M. Rajpoot, Muhammad Moazam Fraz, International Workshop on Ophthalmic Medical Image Analysis 2018 -

Simultaneous Segmentation of Multiple Retinal Pathologies Using Fully Convolutional Deep Neural Network July 09, 2018 - July 11, 2018 Maryam Badar, Muhammad Moazam Fraz, Muhammad Shahzad, Proceedings of the Medical Image Understanding and Analysis 2018 -

A hybrid approach for fatigue detection and quantification November 24, 2017 - November 26, 2017 Sughra Razzaq, Muhammad Nouman Ahmad, Mian M. Hamayun, Anis ur Rahman, Muhammad Moazam Fraz, 20th International Multitopic Conference 2017 (INMIC 2017) -

Application of grow cut algorithm for localization and extraction of optic disc in retinal images December 21, 2015 - December 23, 2015 M. Abdullah, M. Moazam Fraz, M. Abdullah, M. Moazam Fraz, 2th International Conference on High-Capacity Optical Networks and Enabling/Emerging Technologies, HONET-ICT 2015 -

Automated retinal vessel recognition and measurements on large datasets August 25, 2015 - August 29, 2015 R.A. Welikala, M.M. Fraz, S. Hayat, A.R. Rudnicka, P.J. Foster, P.H. Whincup, C.G. Owen, D.P. Strachan, S.A. Barman, R.A. Welikala, M.M. Fraz, S. Hayat, A.R. Rudnicka, P.J. Foster, P.H. Whincup, C.G. Owen, D.P. Strachan, S.A. Barman, International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 -

Automated Arteriole and Venule Recognition in Retinal Images using Ensemble Classification January 05, 2014 - January 08, 2014 Muhammad Moazam Fraz, A. R. Rudnicka, C. G. Owen, D. P. Strachan, S. A. Barman, Muhammad Moazam Fraz, A. R. Rudnicka, C. G. Owen, D. P. Strachan, S. A. Barman, 9th International Conference on Computer Vision Theory and Applications, VISAPP 2014 -

A model based approach for vessel calibre measurement in retinal images November 25, 2012 - November 29, 2012 Peter Whincup, Muhammad Moazam Fraz, Paolo Remagnino, Andreas Hoppe, Sarah. A. Barman, Alicja Rudnicka, Chris Owen, Peter Whincup, The 8th International Conference on Signal Image Technology & Internet Based Systems 2012 -

Retinal vessel segmentation using ensemble classifier of bagged decision trees July 03, 2012 - July 04, 2012 M. M. Fraz, P. Remagnino, A. Hoppe, B. Uyyanonvara, A. Rudnicka, C. G. Owen, S. A. Barman, M. M. Fraz, P. Remagnino, A. Hoppe, B. Uyyanonvara, A. Rudnicka, C. G. Owen, S. A. Barman, IET Conference Publications 2012 -

A Supervised Method for Retinal Blood Vessel Segmentation Using Line Strength, Multiscale Gabor and Morphological Features November 16, 2011 - November 18, 2011 M.M. Fraz, P. Remagnino, A. Hoppe, Sergio Velastin, B. Uyyanonvara, S. A .Barman, M.M. Fraz, P. Remagnino, A. Hoppe, Sergio Velastin, B. Uyyanonvara, S. A .Barman, Proceedings of the IEEE International Conference on Signal & Image Processing Applications, Nov, 2011, Kuala Lumpur , Malaysia -

Retinal vasculature segmentation by morphological curvature, reconstruction and adapted hysteresis thresholding September 05, 2011 - September 06, 2011 M. Moazam Fraz, A. Basit, P. Remagnino, A. Hoppe, S. A. Barman, M. Moazam Fraz, A. Basit, P. Remagnino, A. Hoppe, S. A. Barman, 2011 7th International Conference on Emerging Technologies, ICET 2011 -

Senior Research Fellow University of Warwick March 26, 2018 - March 26, 2019

Post Doctoral Research Asst. Kingston University London June 03, 2013 - June 04, 2014

Principal Software Engineer Elixir Technologies Corporation August 04, 2003 - April 05, 2010