A Secure and Privacy-Preserving Data Collection (SPDC) Framework for IoT Applications. - Tahani Aljohani; Ning Zhang 001 (CRITIS, 2020)

Prediction of Users' Professional Profile in MOOCs Only by Utilising Learners' Written Texts. - Tahani Aljohani; Filipe Dwan Pereira; Alexandra I. Cristea; Elaine H. T. Oliveira (ITS, 2020)

Training Temporal and NLP Features via Extremely Randomised Trees for Educational Level Classification. - Tahani Aljohani; Alexandra I. Cristea (ITS, 2021)

Learners Demographics Classification on MOOCs During the COVID-19: Author Profiling via Deep Learning Based on Semantic and Syntactic Representations. - Tahani Aljohani; Alexandra I. Cristea (Frontiers Res. Metrics Anal., 2021)

Bi-directional Mechanism for Recursion Algorithms: A Case Study on Gender Identification in MOOCs. - Tahani Aljohani; Alexandra I. Cristea; Laila Alrajhi (AIED (2), 2022)

A Good Classifier is Not Enough: A XAI Approach for Urgent Instructor-Intervention Models in MOOCs. - Laila Alrajhi; Filipe Dwan Pereira; Alexandra I. Cristea; Tahani Aljohani (AIED (2), 2022)

Secure, ID Privacy and Inference Threat Prevention Mechanisms for Distributed Systems. - Tahani Aljohani; Ning Zhang 001 (IEEE Access, 2023)