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Computer Science

D-Index
36
Citations
9039
World Ranking
11019
National Ranking
18

Overview

Mahmood Fathy is affiliated with the Iran University of Science and Technology in Iran. Their research primarily spans the fields of Computer Science and Engineering, with notable contributions in several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Computer Networks and Communications, and Control and Systems Engineering.

The scientist's work covers a variety of main topics, such as Autonomous Vehicle Technology and Safety, Advanced Neural Network Applications, Anomaly Detection Techniques and Applications, Traffic Control and Management, AI in Cancer Detection, Traffic Prediction and Management Techniques, and Cloud Computing and Resource Management.

Mahmood Fathy's publication record includes papers in multiple esteemed venues. Frequent publication outlets include arXiv (Cornell University), Preprints.org, Expert Systems with Applications, The Journal of Supercomputing, and Electronics Letters.

Notable recent papers include:

  • Driver behavior detection and classification using deep convolutional neural networks, 2020, Expert Systems with Applications
  • Deep End-to-End One-Class Classifier, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • The improvement in obstacle detection in autonomous vehicles using YOLO non-maximum suppression fuzzy algorithm, 2021, The Journal of Supercomputing
  • Deep-HR: Fast heart rate estimation from face video under realistic conditions, 2021, Expert Systems with Applications
  • Switching Structured Prediction for Simple and Complex Human Activity Recognition, 2020, IEEE Transactions on Cybernetics

Mahmood Fathy collaborates frequently with several researchers. Frequent co-authors include Mohammad Sabokrou, Mohammad Shahverdy, Reza Berangi, Seyed Mahdi Jameii, and Guoying Zhao.

Best Publications

  • Vehicular Ad Hoc Networks (VANETs): Challenges and Perspectives

    Saleh Yousefi;Mahmoud Mousavi;Mahmood Fathy

  • Adversarially Learned One-Class Classifier for Novelty Detection

    Mohammad Sabokrou;Mohammad Khalooei;Mahmood Fathy;Ehsan Adeli

  • Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes

    Mohammad Sabokrou;Mohsen Fayyaz;Mahmood Fathy;Zahra. Moayed

  • A classified and comparative study of edge detection algorithms

    M. Sharifi;M. Fathy;M.T. Mahmoudi

  • Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions

    Reza Azad;Maryam Asadi-Aghbolaghi;Mahmood Fathy;Sergio Escalera

  • Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes

    Mohammad Sabokrou;Mohsen Fayyaz;Mahmood Fathy;Reinhard Klette

  • Analytical Model for Connectivity in Vehicular Ad Hoc Networks

    S. Yousefi;E. Altman;R. El-Azouzi;M. Fathy

  • Driver behavior detection and classification using deep convolutional neural networks

    Mohammad Shahverdy;Mahmood Fathy;Reza Berangi;Mohammad Sabokrou

  • An image detection technique based on morphological edge detection and background differencing for real-time traffic analysis

    M. Fathy;M. Y. Siyal

  • Real-time anomaly detection and localization in crowded scenes

    Mohammad Sabokrou;Mahmood Fathy;Mojtaba Hoseini;Reinhard Klette

  • An Iranian License Plate Recognition System Based on Color Features

    Amir Hossein Ashtari;Mohd Jan Nordin;Mahmood Fathy

  • Video anomaly detection and localisation based on the sparsity and reconstruction error of auto-encoder

    M. Sabokrou;M. Fathy;M. Hoseini

  • A driver face monitoring system for fatigue and distraction detection

    Mohamad-Hoseyn Sigari;Mahmood Fathy;Mohsen Soryani

  • Enhancing AODV routing protocol using mobility parameters in VANET

    O. Abedi;M. Fathy;J. Taghiloo

  • A window-based image processing technique for quantitative and qualitative analysis of road traffic parameters

    M. Fathy;M.Y. Siyal

  • A Review on Driver Face Monitoring Systems for Fatigue and Distraction Detection

    Mohamad-Hoseyn Sigari;Muhammad-Reza Pourshahabi;Mohsen Soryani;Mahmood Fathy

  • A New Robust Watermarking Scheme Based on RDWT-SVD

    Samira Lagzian;Mohsen Soryani;Mahmood Fathy

  • Real-time image processing approach to measure traffic queue parameters

    M. Fathy;M.Y. Siyal

  • Short Communication: Improving connectivity in vehicular ad hoc networks: An analytical study

    Saleh Yousefi;Eitan Altman;Rachid El-Azouzi;Mahmood Fathy

  • Deep End-to-End One-Class Classifier

    Mohammad Sabokrou;Mahmood Fathy;Guoying Zhao;Ehsan Adeli

  • Real-Time Anomaly Detection and Localization in Crowded Scenes

    Mohammad Sabokrou;Mahmood Fathy;Mojtaba Hosseini;Reinhard Klette

Frequent Co-Authors

Reinhard Klette
Reinhard Klette Auckland University of Technology
Ehsan Adeli
Ehsan Adeli Stanford University
Amir Masoud Rahmani
Amir Masoud Rahmani National Yunlin University of Science and Technology
Sergio Escalera
Sergio Escalera University of Barcelona
Mehdi Dehghan
Mehdi Dehghan Amirkabir University of Technology
Guoying Zhao
Guoying Zhao University of Oulu
Behrouz Minaei-Bidgoli
Behrouz Minaei-Bidgoli Iran University of Science and Technology
Eitan Altman
Eitan Altman French Institute for Research in Computer Science and Automation - INRIA
Fernando De la Torre
Fernando De la Torre Carnegie Mellon University
Majid Ahmadi
Majid Ahmadi University of Windsor

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