3D Capture Techniques for BIM Enabled LCM. - Fodil Fadli; Hichem Barki; Ahmed Shaat; Lamine Mahdjoubi; Pawel Boguslawski; Vadim E. Zverovich (PLM, 2015)

Emergency Response in Complex Buildings: Automated Selection of Safest and Balanced Routes. - Vadim E. Zverovich; Lamine Mahdjoubi; Pawel Boguslawski; Fodil Fadli; Hichem Barki (Comput. Aided Civ. Infrastructure Eng., 2016)

Analytic Prioritization of Indoor Routes for Search and Rescue Operations in Hazardous Environments. - Vadim E. Zverovich; Lamine Mahdjoubi; Pawel Boguslawski; Fodil Fadli (Comput. Aided Civ. Infrastructure Eng., 2017)

3D Point Cloud Enhancement using Unsupervised Anomaly Detection. - Yousra Regaya; Fodil Fadli; Abbes Amira (ISSE, 2019)

Smart City Applications: Promoting comfort, health and well-being through Sustainable Smart Urban Design (S2UD) in Msheireb Downtown. - Eman Al-Fadala; Fodil Fadli (ICIoT, 2020)

Point-Denoise: Unsupervised outlier detection for 3D point clouds enhancement. - Yousra Regaya; Fodil Fadli; Abbes Amira (Multim. Tools Appl., 2021)

Recommendation System Towards Residential Energy Saving Based on Anomaly Detection. - Shadi Atalla; Yassine Himeur; Wathiq Mansoor; Abbes Amira; Fodil Fadli; Abigail Copiaco; Shahab Saquib Sohail (ICSPIS, 2022)

A Two-Stage Energy Anomaly Detection for Edge-based Building Internet of Things (BIoT) Applications. - Yassine Himeur; Fodil Fadli; Abbes Amira (ICSPIS, 2022)

Social media data analysis of IoT risks in smart cities. - Abdullah Alajmi; Ioan Petri; Yacine Rezgui; Fodil Fadli (ICE/ITMC, 2023)

Analysis of Unsupervised Consumption Anomaly Detection in Sports Facilities using Artificial Intelligence-Based Data Analytics: A Case Study. - Mariam Elnour; Fodil Fadli; Nader Meskin; Ioan Petri; Yacine Rezgui (ICMLC, 2023)

Exploring 2D Representation and Transfer Learning Techniques for People Identification in Indoor Localization. - Oussama Kerdjidj; Yassine Himeur; Shadi Atalla; Abigail Copiaco; Shahab Saquib Sohail; Fodil Fadli; Abbes Amira; Wathiq Mansoor; Amjad Gawanmeh (ICSPIS, 2023)

Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives. - Hafsa Bousbiat; Roumaysa Bousselidj; Yassine Himeur; Abbes Amira; Faycal Bensaali; Fodil Fadli; Wathiq Mansoor; Wilfried Elmenreich (CoRR, 2023)

An innovative deep anomaly detection of building energy consumption using energy time-series images. - Abigail Copiaco; Yassine Himeur; Abbes Amira; Wathiq Mansoor; Fodil Fadli; Shadi Atalla; Shahab Saquib Sohail (Eng. Appl. Artif. Intell., 2023)

AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives. - Yassine Himeur; Mariam Elnour; Fodil Fadli; Nader Meskin; Ioan Petri; Yacine Rezgui; Faycal Bensaali; Abbes Amira (Artif. Intell. Rev., 2023)

A Comprehensive Review of Digital Twin Technology in Building Energy Consumption Forecasting. - Maissa Boukaf; Fodil Fadli; Nader Meskin (IEEE Access, 2024)

Uncovering the Potential of Indoor Localization: Role of Deep and Transfer Learning. - Oussama Kerdjidj; Yassine Himeur; Shahab Saquib Sohail; Abbes Amira; Fodil Fadli; Shadi Atalla; Wathiq Mansoor; Abigail Copiaco; Amjad Gawanmeh; Sami Miniaoui; Diana Dawoud (IEEE Access, 2024)

Unveiling Hidden Energy Anomalies: Harnessing Deep Learning to Optimize Energy Management in Sports Facilities. - Fodil Fadli; Yassine Himeur; Mariam Elnour; Abbes Amira (CoRR, 2024)

Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey. - Shahab Saquib Sohail; Yassine Himeur; Hamza Kheddar; Abbes Amira; Fodil Fadli; Shadi Atalla; Abigail Copiaco; Wathiq Mansoor (Inf. Fusion, 2025)