A Framework for Tunable Anomaly Detection. - Md Rakibul Alam; Ilias Gerostathopoulos; Christian Prehofer; Alessandro Attanasi; Tomás Bures (ICSA, 2019)

Adaptable Anomaly Detection in Traffic Flow Time Series. - Md Rakibul Alam; Ilias Gerostathopoulos; Sasan Amini; Christian Prehofer; Alessandro Attanasi (MT-ITS, 2019)

A big data-as-a-service architecture for naturalistic driving studies. - Md Rakibul Alam; Christelle Al Haddad; Constantinos Antoniou 001; Carlos Carreiras; Yves Vanrompay; Tom Brijs (MT-ITS, 2021)

A review on the charging station planning and fleet operation for electric freight vehicles. - Md Rakibul Alam; Zhaomiao Guo (CoRR, 2023)

Treating Noise and Anomalies in Vehicle Trajectories From an Experiment With a Swarm of Drones. - Vishal Mahajan; Emmanouil N. Barmpounakis; Md Rakibul Alam; Nikolas Geroliminis; Constantinos Antoniou 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Multistage Charging Station and Distributed Generator Capacity Expansion in Decentralized Power Distribution and Transportation Systems. - Sina Baghali; Md Rakibul Alam; Zhaomiao Guo (IEEE Syst. J., 2023)