Real time EEG compression for energy-aware continous mobile monitoring. - Mohamed Adel Serhani; Mohamed El-Menshawy; Abdelghani Benharref; Alramzana Nujum Navaz (ICM, 2015)

The use of data mining techniques to predict mortality and length of stay in an ICU. - Alramzana Nujum Navaz; Elfadil Mohammed; Mohamed Adel Serhani; Nazar Zaki (IIT, 2016)

New algorithms for processing time-series big EEG data within mobile health monitoring systems. - Mohamed Adel Serhani; Mohamed El-Menshawy; Abdelghani Benharref; Saad Harous; Alramzana Nujum Navaz (Comput. Methods Programs Biomed., 2017)

Resource-Aware Mobile-Based Health Monitoring. - Mohammad M. Masud 001; Mohamed Adel Serhani; Alramzana Nujum Navaz (IEEE J. Biomed. Health Informatics, 2017)

Towards a Multi-model Cloud Workflow Resource Monitoring, Adaptation, and Prediction. - Mohamed Adel Serhani; Hadeel T. El Kassabi; Nabeel A. Y. Al-Qirim; Alramzana Nujum Navaz (TrustCom/BigDataSE, 2018)

Towards an efficient and Energy-Aware mobile big health data architecture. - Alramzana Nujum Navaz; Mohamed Adel Serhani; Nabeel A. Y. Al-Qirim; Marton Gergely (Comput. Methods Programs Biomed., 2018)

Facial Image Pre-Processing and Emotion Classification: A Deep Learning Approach. - Alramzana Nujum Navaz; Mohamed Adel Serhani; Sujith Samuel Mathew (AICCSA, 2019)

Trust enforcement through self-adapting cloud workflow orchestration. - Hadeel T. El Kassabi; Mohamed Adel Serhani; Rachida Dssouli; Alramzana Nujum Navaz (Future Gener. Comput. Syst., 2019)

ECG-based Arrhythmia Classification & Clinical Suggestions: An Incremental Approach of Hyperparameter Tuning. - Mohamed Adel Serhani; Alramzana Nujum Navaz; Hany Al Ashwal; Nabeel A. Y. Al-Qirim (SITA, 2020)

Self-adapting cloud services orchestration for fulfilling intensive sensory data-driven IoT workflows. - Mohamed Adel Serhani; Hadeel T. El Kassabi; Khaled Shuaib; Alramzana Nujum Navaz; Boualem Benatallah; Amin Beheshti (Future Gener. Comput. Syst., 2020)

ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges. - Mohamed Adel Serhani; Hadeel T. El Kassabi; Heba M. Ismail; Alramzana Nujum Navaz (Sensors, 2020)

Federated Patient Similarity Network for Data-Driven Diagnosis of COVID-19 Patients. - Hadeel T. El Kassabi; Mohamed Adel Serhani; Alramzana Nujum Navaz; Sofia Ouhbi (AICCSA, 2021)

Trends, Technologies, and Key Challenges in Smart and Connected Healthcare. - Alramzana Nujum Navaz; Mohamed Adel Serhani; Hadeel T. El Kassabi; Nabeel A. Y. Al-Qirim; Heba M. Ismail (IEEE Access, 2021)

Federated Quality Profiling: A quality evaluation of patient monitoring at the Edge. - Alramzana Nujum Navaz; Mohamed Adel Serhani; Hadeel T. El Kassabi (IWCMC, 2022)

Public wellbeing analytics framework using social media chatter data. - Heba M. Ismail; Mohamed Adel Serhani; Nada Hussien; Rawan Elabyad; Alramzana Nujum Navaz (Soc. Netw. Anal. Min., 2022)

Artificial Intelligence and Blockchain-Based Trading Framework for Satellite Images. - Faiza Hashim; Alramzana Nujum Navaz; Nazar Zaki; Khaled Shuaib; Mohamed Adel Serhani (IWCMC, 2023)

Empowering Patient Similarity Networks through Innovative Data-Quality-Aware Federated Profiling. - Alramzana Nujum Navaz; Mohamed Adel Serhani; Hadeel T. El Kassabi; Ikbal Taleb (Sensors, 2023)

Leveraging Large Language Models for Enhancing Literature-Based Discovery. - Ikbal Taleb; Alramzana Nujum Navaz; Mohamed Adel Serhani (Big Data Cogn. Comput., 2024)