Detection of vehicle wheels from images using a pseudo-wavelet filter for analysis of congested traffic. - Eugene J. OBrien; Colin C. Caprani; Serena Blacoe; Dong Guo; Abdollah Malekjafarian (IET Image Process., 2018)

Evaluation of the extreme traffic load effects on the Forth Road Bridge using image analysis of traffic data. - E. Alexandra Micu; Abdollah Malekjafarian; Eugene J. OBrien; Michael Quilligan; Ross McKinstray; Ewan Angus; Myra Lydon; Fikret Necati Catbas (Adv. Eng. Softw., 2019)

Scour Damage Detection and Structural Health Monitoring of a Laboratory-Scaled Bridge Using a Vibration Energy Harvesting Device. - Paul C. Fitzgerald; Abdollah Malekjafarian; Basuraj Bhowmik; Luke Prendergast; Paul Cahill; Chul-Woo Kim; Budhaditya Hazra; Vikram Pakrashi; Eugene J. OBrien (Sensors, 2019)

A Machine Learning Approach to Bridge-Damage Detection Using Responses Measured on a Passing Vehicle. - Abdollah Malekjafarian; Fatemeh Golpayegani; Callum Moloney; Siobhán Clarke (Sensors, 2019)

On the modeling of the annual corrosion rate in main cables of suspension bridges using combined soft computing model and a novel nature-inspired algorithm. - Mohamed El Amine Ben Seghier; José A. F. O. Corriea; Jafar Jafari-Asl; Abdollah Malekjafarian; Vagelis Plevris; Trung Nguyen-Thoi (Neural Comput. Appl., 2021)

Indirect Monitoring of Frequencies of a Multiple Span Bridge Using Data Collected from an Instrumented Train: A Field Case Study. - Abdollah Malekjafarian; Muhammad Arslan Khan; Eugene J. OBrien; E. Alexandra Micu; Cathal Bowe; Ramin Ghiasi (Sensors, 2022)

subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment. - Zeyneddin Oz; Ceylan Soygul Oz; Abdollah Malekjafarian; Nima Afraz; Fatemeh Golpayegani (Euro-Par Workshops, 2023)

A Machine-Learning-Based Approach for Railway Track Monitoring Using Acceleration Measured on an In-Service Train. - Abdollah Malekjafarian; Chalres-Antoine Sarrabezolles; Muhammad Arslan Khan; Fatemeh Golpayegani (Sensors, 2023)

subMFL: Compatiple subModel Generation for Federated Learning in Device Heterogenous Environment. - Zeyneddin Oz; Ceylan Soygul Oz; Abdollah Malekjafarian; Nima Afraz; Fatemeh Golpayegani (CoRR, 2024)

An unsupervised anomaly detection framework for onboard monitoring of railway track geometrical defects using one-class support vector machine. - Ramin Ghiasi; Muhammad Arslan Khan; Danilo Sorrentino; Cassandre Diaine; Abdollah Malekjafarian (Eng. Appl. Artif. Intell., 2024)

Advances in Condition Monitoring of Railway Infrastructure. - Araliya Mosleh; Diogo Ribeiro 001; Abdollah Malekjafarian; Maria D. Martínez-Rodrigo (Sensors, 2024)

A deep-learning framework for classifying the type, location, and severity of bridge damage using drive-by measurements. - Robert Corbally; Abdollah Malekjafarian (Comput. Aided Civ. Infrastructure Eng., 2024)

Adaptation in Edge Computing: A Review on Design Principles and Research Challenges. - Fateneh Golpayegani; Nanxi Chen; Nima Afraz; Eric Gyamfi; Abdollah Malekjafarian; Dominik Schäfer; Christian Krupitzer (ACM Trans. Auton. Adapt. Syst., 2024)

Adaptive Traffic Management for Emergency Vehicles in Work Zones. - Fatemeh Bandarian; Saeedeh Ghanadbashi; Abdollah Malekjafarian; Fatemeh Golpayegani (VEHITS, 2025)

A novel wrapper-based feature selection method for drive-by bridge anomaly detection using knowledge transfer. - Robert Corbally; Ramin Ghiasi; Abdollah Malekjafarian (Adv. Eng. Softw., 2025)

Unsupervised domain adaptation for drive-by condition monitoring of multiple railway tracks. - Ramin Ghiasi; Nicolas Lestoille; Cassandre Diaine; Abdollah Malekjafarian (Eng. Appl. Artif. Intell., 2025)