Research and teaching spanning image processing, computer vision, image understanding and machine learning.
latest
Current Activity
Enhanced Threat Detection
Autonomous Baggage Security Systems
Potential threats concealed within the baggage has become one of the prime security concern all over the world. Manual recognition of these threats is time-consuming and subject to human errors caused by fatigue due to intensive work schedules or less experienced operators.
Recent News
latest
Current Activity
Recent News
Automated Threat Detection in X-ray and CT Imagery for Advanced Border and Access Security
The continual increase in air travel has led to a growing concern regarding safety and security. To address this, security personnel at ports currently conduct manual inspections of incoming and outgoing passenger luggage, packages, and containers using x-ray scanners.
Computer Vision for Digital Pathology
In Digital Pathology, the analysis of histopathological images is crucial for supporting pathologists in their diagnosis. It aids in pinpointing potential disease locations, assisting with interpretation, and ensuring the accuracy of diagnoses.
Radiology Medical Image Analysis
This field of medical imaging focuses on the advanced analysis of X-ray, MRI, and CT images to detect and quantify various types of pathologies while enhancing the accuracy and efficiency of diagnostic processes.
Intruder Detection and Tracking in a Uniform Appearance Crowd
Despite the abundance of uniform crowds in many contexts, e.g.in the UAE and Gulf regions, and the challenges they exhibit, little or nothing was done to address the problem of tracking a person in a uniform crowd.
Vision-Based Flare Analytics
In the oil and gas industry flaring is the process that consumes waste gases in a safe and reliable manner through combustion in an open flame. Flaring occurs in several processes like well testing and production operations.
Computer Vision for Smart Farming
Within the domain of smart farming, our research focuses on two crucial aspects: 1) the detection of fruit and vegetable maturity, and 2) the identification of plant diseases.
Speech Audio Analytics
Speaker identification from emotional and noisy speech is a challenging task that has been gaining attention in the past few years. This is due to the fact that emotions and noise can mask the speaker’s identity...
publications
- Selected Papers
A selection of representative works ...
Center-Focused Affinity Loss for Class Imbalance Histology Image Classification.
IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2023.3336372. T. Mahbub, A. Obeid, S. Javed, J. Dias, T. Hassan and N. Werghi, 2023. [pdf] [demo]
“Angular contrastive distillation driven self-supervised scanner independent screening and grading of retinopathy”, Information Fusion, 2023.
T Hassan, Z Li, MU Akram, I Hussain, K Khalaf, N Werghi, 2023. [pdf] [demo]
A survey of 3d ear recognition techniques.
ACM Computing Surveys, 55(10), pp.1-36 . Ganapathi, I.I., Ali, S.S., Prakash, S., Vu, N.S. and Werghi, N., 2023. [pdf] [demo]
Speaker identification from emotional and noisy speech using learned voice segregation and speech VGG.
Expert Systems with Applications, 224, p.119871. Hamsa, S., Shahin, I., Iraqi, Y., Damiani, E., Nassif, A.B. and Werghi, N., 2023. [pdf] [demo]
RHEMAT: Robust human ear-based multimodal authentication technique.
Computers & Security, p.103356. Ganapathi, I.I., Ali, S.S., Sharma, U., Tomar, P., Owais, M. and Werghi,N., 2023. [pdf] [demo]
Spatially constrained context-aware hierarchical deep correlation filters for nucleus detection in histology images.
Medical Image Analysis, 72, p.102104. Javed, S., Mahmood, A., Dias, J., Werghi, N. and Rajpoot, N., 2021. [pdf] [demo]
“Hierarchical Spatiotemporal Graph Regularized Discriminative Correlation Filter for Visual Object Tracking”, IEEE Transactions on Cybernetics, 2021
S. Javed, A. Mahmoud, J.Dias, L. Seneviratne, N. Werghi. [pdf] [demo]
“Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression”, IEEE Transactions on Biomedical Engineering, 2020
H Raja, T.Hassan, M. Akram, N. Werghi. [pdf] [demo]
Learned 3D shape representations using fused geometrically augmented images: Application to facial expression and action unit detection.
“Robust Structural Low-rank Tracking,” IEEE Transactions on Image Processing, 2020
S. Javed, A. Mahmoud, J. Dias, N. Werghi. [pdf] [demo]
Multi-scale Roughness Approach for Assessing Posterior Capsule Opacification
IEEE Journal of Biomedical and Health Informatics, 18 (6), pp. 1923–1931, 2014. A. Vivekanand, N. Werghi, H. Al-Ahmad,2014, [pdf] [demo]
Segmentation and Modelling of Full Human Body Shape From 3D Scan Data: A Survey
IEEE Transactions on Systems, Man, and Cybernetics, 37 (6), November 2007. N. Werghi, [pdf] [demo]
A Functional-based Segmentation of Human Body Scans in Arbitrary Postures
IEEE Transactions on Systems, Man, and Cybernetics, 36 (1), pp. 153–165, 2006 . N. Werghi, Y. Xiao, P. Siebert, 2006. [pdf] [demo]