Nabeel Alzahrani
Contact
Bio
Dr. Alzahrani is an Adjunct Professor in the Computer Science and Engineering Department with expertise in diverse areas, including cybersecurity, data science, artificial intelligence, machine learning, cloud and mobile computing, software engineering, and computer networks. He earned his Ph.D. in Computer Science and Engineering from the University of California, Riverside, with a perfect 4.00/4.00 GPA. Dr. Alzahrani is also a consultant in the Identity, Security, and Enterprise Technology Department at CSUSB. He is a published author with three published books and seven peer-reviewed scientific research papers, and has delivered multiple presentations in his field.
Education
Doctoral degree (Ph.D.) with a GPA of 4.00 (out of 4.00) in Computer Science and Engineering from the University of California, Riverside (UC Riverside).
Courses/Teaching
-
Teaching Master of Science in Computer Science (MSCS) Core Courses
- MSCS Core Course: CSE 6550: Software Engineering Concepts
- MSCS Core Course: CSE 6600: Operating Systems Concepts and Theory
- Textbook: Silberschatz, Gagne, Galvin. (2022). Operating System Concepts. (10th ed.). zyBooks
- Conference: SOSP: ACM Symposium on Operating Systems Principles
- Resources (source code): Linux, FreeBSD (Unix-like), macOS, iOS, Android
Android stack. Source: https://source.android.com/
Research and Teaching Interests
- Cybersecurity
- Data science (including artificial intelligence and machine learning)
- Cloud and mobile computing
- Software engineering
- Computer networks (including wireless and cellular networks)
- Research opportunity
-
Criteria Research Project Research Focus Student's choice in Artificial Intelligence (AI) or Cybersecurity
Description Students choose a research topic aligned with their personal interests within AI or Cybersecurity, e.g., generative AI, ethical hacking, drones, healthcare, finance, ethics, or related fields
Weekly Commitment
Varies based on project complexity
Required GPA 3.0 or higher Preferred Major Computer Science and Engineering preferred, but all majors are welcome
Student Level Any level (undergraduate or graduate) Qualifications Proficient in Python
Graduation Timeline At least 3 months before graduation Available Positions 3 per semester Paid Position No (Unpaid)
-