إعلان
نبذة تعريفية / مختصر السيرة الذاتية
Prof. Saad Abdullah Al-Ahmadi is a Professor, and Scientific Consultant for Graduate Programs at King Saud University, with over 35 years of experience in academia, research, and consultancy.
His expertise spans Artificial Intelligence (AI), Cybersecurity, and the Internet of Things (IoT), with a particular focus on AI-driven solutions for cybersecurity and smart systems.
Prof. Al-Ahmadi has authored numerous research papers and supervised many Ph.D. and Master's students. He has also led major academic and industrial projects, collaborating with both government and private sector organizations.
He has been actively involved in the development and review of Digital Technology curricula for general education in collaboration with the Ministry of Education and Tatweer Educational Company. Additionally, he has contributed to the development and review of the Computer Science and Engineering Track curricula for general education with the same entities.
His contributions extend to working with the Education and Training Evaluation Commission (ETEC) on developing Digital Technology curricula and establishing Digital Technology Education Standards. Furthermore, he has served as a reviewer for Bachelor's programs in Computer Science at local universities and has evaluated research papers for international journals in the field of Computer Science.
A recipient of prestigious awards, Prof. Al-Ahmadi continues to drive innovation and academic excellence in computer science education and research.
مجالات الخبره
Artificial Intelligence (AI), Cybersecurity, and the Internet of Things (IoT)
المنشورات
المزيد ...
Obstructive sleep apnea (OSA) results from repeated collapses of the upper airway during sleep, which can lead to serious health complications. Although polysomnography (PSG) is the diagnostic…
Major Depressive Disorder (MDD) is a pervasive psychiatric condition. Electroencephalography (EEG) is employed to detect MDD-specific neural patterns because it is non-invasive and temporally…
Split Learning (SL) has been promoted as a promising collaborative machine learning technique designed to address data privacy and resource efficiency.
المواد الدراسية
المزيد ...
New trends and research directions in the area of Computer Security including: Threats and vulnerabilities - Identification and authentication - Access control - Intrusion…
Evolutionary algorithms Artificial Immune Systems Evolving Connectionist systems Cellular Automata Collective Intelligence Reverse Emergence Cellular neural network Amorphous computing DNA…
Contemporary topics and research directions in computer systems. Selected topic: Internet of Things (IoT)
الساعات المكتبية
| Saturday | الأحد | الاثنين | الثلاثاء | الأربعاء | الخميس | الجمعة | |
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| من | _ | 04:00 PM | 04:00 PM | 04:00 PM | 03:00 PM | 03:00 PM | _ |
| الى | _ | 06:00 PM | 06:00 PM | 06:00 PM | 05:00 PM | 05:00 PM | _ |
| الموقع | _ | Building 31 (CCIS Building) - 2nd Floor - Room 2179 Building 31 (CCIS Building) - 2nd Floor - Room 2179 | Building 31 (CCIS Building) - 2nd Floor - Room 2179 Building 31 (CCIS Building) - 2nd Floor - Room 2179 | Building 31 (CCIS Building) - 2nd Floor - Room 2179 Building 31 (CCIS Building) - 2nd Floor - Room 2179 | Building 31 (CCIS Building) - 2nd Floor - Room 2179 Building 31 (CCIS Building) - 2nd Floor - Room 2179 | Building 31 (CCIS Building) - 2nd Floor - Room 2179 Building 31 (CCIS Building) - 2nd Floor - Room 2179 | _ |