Book: 

Building Skills for Data Science, publishing date 2019. 

Chapter in a Book: 

N.Rizk “Parallel and Evolutionary Approaches to Computational Biology”, In the book Parallel Computing for Bioinformatics by Albert Zomaya Wiley and Sons Publishers. New Jersey, 07030 5774, 2006. 

Journal Publications:  

Bassiouni, M. M., Hegazy, I., Rizk, N., El-Dahshan, E. S. A., & Salem, A. M. (2022). Automated Detection of COVID-19 Using Deep Learning Approaches with PaperBased ECG Reports. Circuits, Systems, and Signal Processing, 41(10), 5535-5577.DOI: https://doi.org/10.1007/s00034-022-02035-1. 

Bassiouni, M. M., Hegazy, I., Rizk, N., El-Dahshan, E. S. A., & Salem, A. M. (2022).Deep Learning Approach Based On Transfer Learning With Different Classifiers For ECG Diagnosis. International Journal of Intelligent Computing and Information Sciences, 22(2), 44-62. DOI:10.21608/IJICIS.2022.105574.1137. 

Bassiouni, M. M., Hegazy, I., Rizk, N., El-Dahshan, S. A., & Salem, A. M. (2021). Combination of ECG and PPG Signals for Healthcare Applications: A Survey. Advances in Modelling and Analysis B, 64(1-4), 63-70. DOI: https://doi.org/10.18280/ama_b.641-409.  

Bassiouni, M. M., Hegazy, I., Rizk, N., El-Dahshan, S. A., & Salem, A. M, (2021). COVID19 Diagnosis Based on Hybrid Deep Learning Approaches using digitized ECG Image Reports, Computers In Biology and medicine.  

Bassiouni, M. M., Hegazy, I., Rizk, N., El-Dahshan, S. A., & Salem, A. M, (2021). 1D CNN model for ECG diagnosis based on several classifiers, System research, and information technologies.  

Rizk, N.  (2016) “Real-Time Skill Assessment Data Mining Model to enhance students’ performance”, International journal of education and information technology, vol 10, pp. 218-222,  ISSN: 2074-1316 

Rizk, N.  DeCarlo,P.  Z. Mughal “The overview and evaluation of an expert system for delivering dynamic curriculum assessments in college institutions”, In the Journal “the International Association for Technology, Education and Development (IATED)” vol 2010, pp. 557-566, 

 Conference Publications: 

Rizk,N. Aliev, D. Bazarov,K. Mooran, M. and Patel, A.,(2023) Detection of Lung Cancer Using Convolutional Neural Networks. The international conference on Intelligent Systems and Pattern recognition ISPR'2023

Rizk, N. Burns,A.  Burns,I.  Arani, and  Artilles, V.,  (2023) Detecting and Classifying the Severity of Alzheimer's Disease from MRI Scans Using Deep Learning. The international conference on Intelligent Systems and Pattern recognition ISPR'2023 

Bassiouni, M. M., Hegazy, I., Rizk, N., El-Dahshan, E. S. A., & Salem, A. M, (2022) COVID Detection using ECG image reports: A survey in 3rd international workshop on new approaches for multidimensional signal processing. 

Bassiouni, M. M., Hegazy, I., Rizk, N., El-Dahshan, E. S. A., & Salem, A. M. (2021, December). Combination of ECG And PPG Signals For Smart HealthCare Systems: Techniques, Applications, and Challenges. In 2021 Tenth International Conference on Intelligent Computing and Information Systems (ICICIS) (pp. 448-455). IEEE. DOI: 10.1109/ICICIS52592.2021.9694241. 

Freeman, K, Rizk, N. Augmented Intelligence Approach to Educational Data Mining: Student Drop Prediction, Senior Honors Thesis 2021 

Rizk, N. Using K-Nearest Neighbors to Classify Undergraduate Female Self-Efficacy in Computer Science, INTED 2021 

Rizk, N. “Powering Student Engagement with Digital Storytelling And Machine Learning” International Conference Of Education, Research And Innovation, ICERI, Proceedings, 2021. 

Rizk, N. “Sentiment Analysis Framework to Identify Student Profile” International Conference of Education, Research and Innovation, ICERI, Proceedings, 2021. 

Rizk, N. “Grouping Students by Learning Style and COVID Status” International Conference of Education, Research and Innovation, ICERI, Proceedings, 2020. 

Rizk, N. “Data Science to Support Group Formation” International Conference  of Education, Research and Innovation, ICERI, Proceedings, 2020. 

Rizk, N., Romero, P. “A Recommendation System for Student Academic Progress” Data Mining and Knowledge engineering. ICDMKE, Proceedings, 2019 

Rizk, N., Bacchus, N.  “Using Data Science Algorithms to Enhance Student Group Performance’ International Conference of Education, Research, and Innovation, ICERI, Proceedings, 2019 

Jidagam, N. Rizk “Evaluation of Predictive Data Mining Algorithms in Student Academic Performance”, INTED Proceedings, 2016.