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Faycal Bensaali

Faycal Bensaali

D-Index & Metrics

Computer Science

D-Index
40
Citations
5489
World Ranking
9418
National Ranking
16

Overview

Faycal Bensaali is affiliated with Qatar University in Qatar and has contributed extensively to the fields of engineering and computer science. Their research predominantly focuses on electrical and electronic engineering, computer vision and pattern recognition, building and construction, artificial intelligence, and biomedical engineering.

The main topics covered by their work include:

  • Smart Grid Energy Management
  • Building Energy and Comfort Optimization
  • Green IT and Sustainability
  • Energy Efficiency and Management
  • IoT-based Smart Home Systems
  • Air Quality Monitoring and Forecasting
  • Context-Aware Activity Recognition Systems

Faycal Bensaali has published in a range of venues, with frequent publications in:

  • arXiv (Cornell University)
  • Applied Energy
  • Engineering Applications of Artificial Intelligence
  • International Journal of Intelligent Systems
  • SSRN Electronic Journal

Selected recent papers illustrate the focus and extent of their research output:

  • Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives (2021), Applied Energy
  • AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives (2022), Artificial Intelligence Review
  • A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects (2021), Information Fusion
  • A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks (2020), Cognitive Computation
  • Deep transfer learning for automatic speech recognition: Towards better generalization (2023), Knowledge-Based Systems

The researcher collaborates frequently with a core group of coauthors, including:

  • Yassine Himeur
  • Abbes Amira
  • Abdullah Alsalemi
  • Iraklis Varlamis
  • Aya Nabil Sayed

Best Publications

  • Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives

    Yassine Himeur;Khalida Ghanem;Abdullah Alsalemi;Faycal Bensaali

  • Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives

    Unknown

  • A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects

    Yassine Himeur;Abdullah Alsalemi;Ayman Al-Kababji;Faycal Bensaali

  • Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization

    Unknown

  • MLP Neural Network Based Gas Classification System on Zynq SoC

    Xiaojun Zhai;Amine Ait Si Ali;Abbes Amira;Faycal Bensaali

  • A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks

    Yassine Himeur;Abdullah Alsalemi;Faycal Bensaali;Abbes Amira

  • Deep and transfer learning for building occupancy detection: A review and comparative analysis

    Unknown

  • Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree

    Yassine Himeur;Abdullah Alsalemi;Faycal Bensaali;Abbes Amira

  • Smart power consumption abnormality detection in buildings using micromoments and improved K‐nearest neighbors

    Yassine Himeur;Abdullah Alsalemi;Faycal Bensaali;Abbes Amira

  • Building power consumption datasets: Survey, taxonomy and future directions

    Yassine Himeur;Abdullah Alsalemi;Faycal Bensaali;Abbes Amira

  • Blockchain-based recommender systems: Applications, challenges and future opportunities

    Yassine Himeur;Aya Sayed;Abdullah Alsalemi;Abdullah Alsalemi;Faycal Bensaali

  • The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency

    Christos Sardianos;Iraklis Varlamis;Christos Chronis;George Dimitrakopoulos

  • An Empirical Study for PCA- and LDA-Based Feature Reduction for Gas Identification

    Muhammad Ali Akbar;Amine Ait Si Ali;Abbes Amira;Faycal Bensaali

  • Compressive Sensing-Based IoT Applications: A Review

    Hamza Djelouat;Abbes Amira;Faycal Bensaali

  • Achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations

    Abdullah Alsalemi;Yassine Himeur;Faycal Bensaali;Abbes Amira

  • The Role of Micro-Moments: A Survey of Habitual Behavior Change and Recommender Systems for Energy Saving

    Abdullah Alsalemi;Christos Sardianos;Faycal Bensaali;Iraklis Varlamis

  • Smart fusion of sensor data and human feedback for personalized energy-saving recommendations

    Iraklis Varlamis;Christos Sardianos;Christos Chronis;George Dimitrakopoulos

  • Using big data and federated learning for generating energy efficiency recommendations

    Unknown

  • Edge AI for Internet of Energy: Challenges and perspectives

    Unknown

  • Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau vs OneCycleLR

    Unknown

  • REHAB-C: Recommendations for Energy HABits Change

    Christos Sardianos;Iraklis Varlamis;George Dimitrakopoulos;Dimosthenis Anagnostopoulos

  • Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations

    Yassine Himeur;Abdullah Alsalemi;Ayman Al-Kababji;Faycal Bensaali

  • Accelerating matrix product on reconfigurable hardware for image processing applications

    F. Bensaali;A. Amira;A. Bouridane

  • Empowering Technology Enabled Care Using IoT and Smart Devices: A Review

    Hamza Baali;Hamza Djelouat;Abbes Amira;Faycal Bensaali

  • Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction

    Yassine Himeur;Abdullah Alsalemi;Faycal Bensaali;Abbes Amira

  • Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier

    Yassine Himeur;Abdullah Alsalemi;Faycal Bensaali;Abbes Amira

  • OCR-based neural network for ANPR

    Xiaojun Zhai;Faycal Bensaali;Reza Sotudeh

Frequent Co-Authors

Abbes Amira
Abbes Amira University of Sharjah
Amine Bermak
Amine Bermak Hamad bin Khalifa University
Ahmed Bouridane
Ahmed Bouridane University of Sharjah
Nader Meskin
Nader Meskin Qatar University
Peter V. Coveney
Peter V. Coveney University College London
Lu Liu
Lu Liu University of Leicester
Farid Touati
Farid Touati Qatar University
Mohamad Sawan
Mohamad Sawan Polytechnique Montréal

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