Muhammad Moazam Fraz
HOD Artificial Intelligence and Data Science (DoC)
- School of Electrical Engineering and 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
Residual learning with annularly convolutional neural networks for classification and segmentation of 3D point clouds
March 14, 2023
Rabbia Hassan, Muhammad Moazam Fraz, Muhammad Asif Ali Rajpoot, Muhammad Shahzad,
Neurocomputing - Volume 526, Pages 96-108
Ubiquitous vision of transformers for person re-identification
February 09, 2023
Nazia Perwaiz, Muhammad Shahzad, Muhammad Moazam Fraz,
Machine Vision and Applications - Volume 34, Issue 2, Article Number 27
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
Nuclei and glands instance segmentation in histology images: a narrative review
December 21, 2022
Esha Sadia Nasir, Arshi Pervaiz, Muhammad Moazam Fraz,
Artificial Intelligence Review - Pages 1-56
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
Learning Disease Specific Knowledge Graph from Unstructured Radiology Reports and Electronic Health Records (EHRs)
November 29, 2022 - November 30, 2022
Farina Tariq, Saad A Khan, Muhammad Moazam Fraz,
2022 17th International Conference on Emerging Technologies (ICET) -
Analysis of Vegetation Indices in the Cotton Crop in South Asia region using UAV Imagery
November 29, 2022 - November 30, 2022
Noor us Sabah, Muhammad Usama, Zuhair Zafar, Muhammad Shahzad, Muhammad Moazam Fraz, Karsten Berns,
2022 17th International Conference on Emerging Technologies (ICET) -
Recognition of Faces Wearing Masks Using Skip Connection Based Dense Units Augmented With Self Restrained Triplet Loss
October 21, 2022 - October 22, 2022
Muhammad Aasharib Nawshad, Zuhair Zafar, Muhammad Moazam Fraz,
2022 24th International Multitopic Conference (INMIC) -
Unveiling the Potential of Vision Transformer Architecture for Person Re-identification
October 21, 2022 - October 22, 2022
Nazia Perwaiz, M. Shahzad, Muhammad Moazam Fraz,
2022 24th International Multitopic Conference, INMIC 2022 -
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) -
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) -
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) -
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) -
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) -
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) -
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) -
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) -
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) -
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) -
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 -
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 -
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) -
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 -
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 -
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