Mohamed Abdel-Basset

Ph.D, SMIEEE

Associate Professor, Head of Computer Science Department, Faculty of Computers and Informatics, Zagazig University, Zagazig, Al Sharqia, Egypt, 44519

Founder of DEEPOLOGY LAB

Leader of the Artificial Intelligence Research Group (FCIAI)

Director of Artificial Intelligence & Data Science program

                                                
                                                    Publications
                                                
 Books
                                                            
                                                                 Abdel-Basset, Mohamed, et al. Deep Learning Techniques for IoT Security and Privacy. Springer, 2022
                                                            
                                                                 Florentin Smarandache and Mohamed Abdel-Basset, “Optimization Theory Based on Neutrosophic and Plithogenic Sets”, Elsevier, Paperback ISBN: 9780128196700, eBook ISBN: 9780128199084, 2020
                                                            
                                                                 Mohamed Abdel-Basset and Florentin Smarandache, “Neutrosophic Sets in Decision Analysis and Operations Research”, DOI: 10.4018/978-1-7998-2555-5, IGI, 2020
                                                            
                                                                 Florentin Smarandache and Mohamed Abdel-Basset ,Yongquan Zhou, “Neutrosophic Operational Research”, Pons, Volume I , 2020
                                                            
                                                                  Florentin Smarandache and Mohamed Abdel-Basset, Victor Chang, “Neutrosophic Operational Research”, Pons, Volume II
                                                            
                                                                 Florentin Smarandache and Mohamed Abdel-Basset , victor Chang “Neutrosophic Operational Research”, Pons, Volume III
                                                            
                                                                  Mohamed Elhoseny, K. Shankar, Mohamed Abdel-Basset, “Artificial Intelligence Applications for Smart Societies: Recent Advances”, DOI: 10.1007/978-3-030-63068-3, Springer
                                                            
                                                                  Mohamed Elhoseny, K Shankar, Mohamed Abdel-Basset, “Artificial Intelligence Techniques in IoT-sensor networks”, DOI: https://doi.org/10.1201/9781003007265,  CRC
                                                            
                                                                  Florentin Smarandache and Mohamed Abdel-Basset, “Neutrosophic Operational Research Methods and Applications”, Springer, DOI: 10.1007/978-3-030-57197-9
                                                            
                                                                  Chang, V., Abdel-Basset, M., Ramachandran, M., Green, N., Wills, G., “Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19
                                                            
Selected Journal Papers Abdel-Basset, Mohamed, Abduallah Gamal, and Samir S. Teleb. "Intelligent Fuzzy Decision-Making System of Afforestation in New Cities: A Case Study of the New Administrative Capital, Egypt." Intelligent Systems with Applications (2022): 200085.    
 Abdel-Basset, Mohamed, et al. "Enhanced COVID-19 X-ray image preprocessing schema using type-2 neutrosophic set." Applied Soft Computing (2022): 108948.                                                                                               
 Abdel-Basset, Mohamed, et al. "STLF-Net: Two-stream deep network for short-term load forecasting in residential buildings." Journal of King Saud University-Computer and Information Sciences (2022).                                                  
 Abdel-Basset, Mohamed, Nour Moustafa, and Hossam Hawash. "Privacy-preserved Cyberattack Detection in Industrial Edge of Things (IEoT): A Blockchain-Orchestrated Federated Learning Approach." IEEE Transactions on Industrial Informatics (2022).     
 Abdel-Basset, Mohamed, Nour Moustafa, and Hossam Hawash. "Privacy-Preserved Generative Network for Trustworthy Anomaly Detection in Smart Grids: A Federated Semi-Supervised Approach." IEEE Transactions on Industrial Informatics (2022).            
 Abdel-Basset, Mohamed, Abduallah Gamal, and Osama M. ELkomy. "Hybrid Multi-Criteria Decision Making approach for the evaluation of sustainable photovoltaic farms locations." Journal of Cleaner Production 328 (2021): 129526.                        
 Abdel-Basset, Mohamed, et al. "Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems." IEEE Transactions on Intelligent Transportation Systems (2021).                                                                        
 Abdel-Basset, Mohamed, et al. "H2HI-Net: A Dual-Branch Network for Recognizing Human-to-Human Interactions from Channel-State-Information." IEEE Internet of Things Journal (2021).                                                                    
 Abdel-Basset, Mohamed, Hossam Hawash, and Nour Moustafa. "Toward Privacy Preserving Federated Learning In Internet of Vehicular Things: Challenges and Future Directions." IEEE Consumer Electronics Magazine (2021).                                  
 Abdel-Basset, Mohamed, Hossam Hawash, and Karam Sallam. "Federated threat-hunting approach for microservice-based industrial cyber-physical system." IEEE Transactions on Industrial Informatics 18.3 (2021): 1905-1917.                               
 Abdel-Basset, Mohamed, et al. "Energy-net: a deep learning approach for smart energy management in iot-based smart cities." IEEE Internet of Things Journal 8.15 (2021): 12422-12435.                                                                  
  Abdel-Basset, Mohamed, et al. "Semi-Supervised Spatiotemporal Deep Learning for Intrusions Detection in IoT Networks." IEEE Internet of Things Journal 8.15 (2021): 12251-12265.