OPTI-SELECT: an interactive tool for user-in-the-loop feature selection in software product lines. - Ahmed Eid El Yamany; Mohamed Shaheen; Abdel Salam Sayyad (SPLC Workshops, 2014)

Streaming medical images using video compression. - Mahmoud Mohamed Shaiboun; Mohamed Shaheen (ISCC, 2016)

Caching Techniques for Flight Delays Prediction in Big Data Using SparkR. - Ahmed Elsayed; Mohamed Shaheen; Osama Badawy 001 (ICCTA, 2018)

Decision support system to measure the suitability and compatibility of CubeSats components with launch vehicles frequencies (LSCDSS). - Ayman Elzagh; Mohamed Shaheen; Sohair F. Rezeka (ICSIE, 2019)

A Novel Approach of Transcriptomic microRNA Analysis Using Text Mining Methods: An Early Detection of Multiple Sclerosis Disease. - Nehal M. Ali; Mohamed Shaheen; Mai S. Mabrouk; Mohamed A. Aborizka (IEEE Access, 2021)

Multiple Sclerosis Biomarkers Detection by a BiLSTM Deep Learning Model for miRNA Data Analysis. - Nehal M. Ali; Mohamed Shaheen; Mai S. Mabrouk; Mohamed Abo Rizka (ACIT, 2022)

A Novel Transformer-Based Approach for Detecting Anomalies in Event Logs of Process-Aware Information Systems. - Eman Abd El-Aziz; Radwa Fathalla; Yasser Ismail; Mohamed Shaheen (ICCTA, 2023)

Deep reinforcement learning for data-efficient weakly supervised business process anomaly detection. - Eman Abd El-Aziz; Radwa Fathalla; Mohamed Shaheen (J. Big Data, 2023)

Anomaly Detection of Object-Centric Event Logs Using Event Knowledge Graph. - Omnia Osama Amin; Walid M. Abdelmoez; Mohamed Shaheen (ICCTA, 2024)

Business Process Anomaly Detection and Root Cause Analysis Using BLSTM-VAE With Attention. - Eman Abd El-Aziz; Radwa Fathalla; Yasser Ismail; Mohamed Shaheen (IEEE Access, 2024)