World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
12114
World Ranking
6715
National Ranking
2964

Research.com Recognitions

  • 2014 - IEEE Fellow For contributions to image modeling and biomedical applications

Overview

Aly A. Farag is affiliated with the University of Louisville in the United States. Their research spans multiple fields with a strong emphasis on Computer Science and Medicine.

The main fields of study for Farag include:

  • Computer Science (16 publications)
  • Medicine (11 publications)

Within these broader fields, Farag's work delves into several subfields such as:

  • Computer Vision and Pattern Recognition (7 publications)
  • Education (6 publications)
  • Oncology (5 publications)
  • Artificial Intelligence (4 publications)
  • Radiology, Nuclear Medicine and Imaging (4 publications)

The scientist focuses on specific research topics, notably:

  • Colorectal Cancer Screening and Detection (8 publications)
  • Human Pose and Action Recognition (6 publications)
  • Online Learning and Analytics (4 publications)
  • Innovative Teaching Methods (4 publications)
  • Online and Blended Learning (4 publications)
  • Hand Gesture Recognition Systems (4 publications)
  • Radiology practices and education (4 publications)

Frequent coauthors contributing to their research include:

  • Asem Ali (13 collaborations)
  • Islam Alkabbany (8 collaborations)
  • Ahmed Abdelkawy (4 collaborations)
  • Thomas R. Tretter (3 collaborations)
  • Nicholas C. Hindy (3 collaborations)

Farag regularly publishes in several academic venues, including:

  • arXiv (Cornell University) with 4 publications
  • Sensors with 2 publications
  • Journal of Vascular and Interventional Radiology with 2 publications
  • COJ Electronics & Communications with 2 publications
  • Bioengineering with 1 publication

Recent papers highlight a blend of machine learning, healthcare applications, and computer vision:

  • "ECG Heartbeat Classification Using Machine Learning and Metaheuristic Optimization for Smart Healthcare Systems," 2023, Bioengineering
  • "An Experimental Platform for Real-Time Students Engagement Measurements from Video in STEM Classrooms," 2023, Sensors
  • "An AI-Based Colonic Polyp Classifier for Colorectal Cancer Screening Using Low-Dose Abdominal CT," 2022, Sensors
  • "EPAM-Net: An efficient pose-driven attention-guided multimodal network for video action recognition," 2025, Neurocomputing
  • "G-SET-DCL: a guided sequential episodic training with dual contrastive learning approach for colon segmentation," 2025, International Journal of Computer Assisted Radiology and Surgery

Aly A. Farag was awarded the IEEE Fellow distinction in 2014 for contributions to image modeling and biomedical applications.

Best Publications

  • A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data

    M.N. Ahmed;S.M. Yamany;N. Mohamed;A.A. Farag

  • CSIFT: A SIFT Descriptor with Color Invariant Characteristics

    A.E. Abdel-Hakim;A.A. Farag

  • MultiStencils Fast Marching Methods: A Highly Accurate Solution to the Eikonal Equation on Cartesian Domains

    M.S. Hassouna;A.A. Farag

  • Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images

    Y.M. Kadah;A.A. Farag;J.M. Zurada;A.M. Badawi

  • Surface signatures: an orientation independent free-form surface representation scheme for the purpose of objects registration and matching

    S.M. Yamany;A.A. Farag

  • A system for human jaw modeling using intra-oral images

    S.M. Yamany;A.A. Farag

  • Precise segmentation of multimodal images

    A.A. Farag;A.S. El-Baz;G. Gimel'farb

  • Nonmetric calibration of camera lens distortion: differential methods and robust estimation

    M. Ahmed;A. Farag

  • System and method for 3-D digital reconstruction of an oral cavity from a sequence of 2-D images

    Aly A. Farag;David Tasman;Sameh M. Yamany

  • A Novel Approach for Lung Nodules Segmentation in Chest CT Using Level Sets

    Amal A. Farag;Hossam E. Abd El Munim;James H. Graham;Aly A. Farag

  • Modified fuzzy c-mean in medical image segmentation

    N.A. Mohamed;M.N. Ahmed;A. Farag

  • Free-form surface registration using surface signatures

    S.M. Yamany;A.A. Farag

  • Two-stage neural network for volume segmentation of medical images

    Mohamed N. Ahmed;Aly A. Farag

  • Robust centerline extraction framework using level sets

    M.S. Hassouna;A.A. Farag

  • Graph cuts framework for kidney segmentation with prior shape constraints

    Asem M. Ali;Aly A. Farag;Ayman S. El-Baz

  • Cerebrovascular segmentation from TOF using stochastic models

    M. Sabry Hassouna;Aly A. Farag;Stephen G. Hushek;Thomas Moriarty

  • A unified framework for MAP estimation in remote sensing image segmentation

    A.A. Farag;R.M. Mohamed;A. El-Baz

  • A new genetic-based technique for matching 3-D curves and surfaces☆

    Sameh M. Yamany;Mohamed N. Ahmed;Aly A. Farag

  • Edge linking by sequential search

    Aly A. Farag;Edward J. Delp

  • Variational Curve Skeletons Using Gradient Vector Flow

    M.S. Hassouna;A.A. Farag

  • Non-contact and passive measurement of arterial pulse through thermal IR imaging, and analysis of thermal IR imagery

    Aly A. Farag;Sergey Y. Chekmenev

Frequent Co-Authors

Ayman El-Baz
Ayman El-Baz University of Louisville
Georgy Gimel'farb
Georgy Gimel'farb University of Auckland
Manuel F. Casanova
Manuel F. Casanova University of South Carolina
Edward J. Delp
Edward J. Delp Purdue University West Lafayette
Jacek M. Zurada
Jacek M. Zurada University of Louisville
Terrance E. Boult
Terrance E. Boult University of Colorado Colorado Springs
Javier R. Movellan
Javier R. Movellan University of California, San Diego
Sébastien Marcel
Sébastien Marcel Idiap Research Institute
Shrikanth S. Narayanan
Shrikanth S. Narayanan University of Southern California
Jay N. Giedd
Jay N. Giedd University of California, San Diego

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA also opens doors to many other online degrees and advanced career opportunities. For those aiming at leadership roles in business and technology, an executive online mba provides management skills tailored for working professionals. This pathway is ideal for IT specialists transitioning into executive positions.

If your interests blend information technology and information management, a mlis degree online cost guide is essential. These programs teach you how to organize digital information—a critical skill for data-driven industries.

Graduate studies don’t have to be expensive. There are plenty of cheap online masters programs covering computer science, analytics, and technology management, helping you upskill without a heavy financial burden.

For those seeking top leadership roles in technology and organizational change, pursuing a doctorate in organizational leadership online can be the next logical step. These degrees focus on strategic leadership, innovation, and large-scale technology transformation.

Best Scientists Citing Aly A. Farag

Trending Scientists

Recently Published Articles