Nabeel Alzahrani
Contact
Bio
Dr. Alzahrani is an Adjunct Professor in the Computer Science and Engineering Department with expertise in diverse areas, including artificial intelligence, cybersecurity, cloud and mobile computing, software engineering, and computer networks. He earned his Ph.D. in Computer Science 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 from the University of California, Riverside (UC Riverside).
Courses/Teaching
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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
- Artificial Intelligence (AI)
- Cybersecurity
- Cloud and Mobile Computing
- Software Engineering
- Computer Networks (including Wireless and Cellular Networks)
- Research Opportunity
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Criteria Research Project Research Focus - AI-Based Cancer Detection from Images
- AI-Driven Academically At-Risk Student Detection
- AI-Powered Support Systems
- AI Overfitting
- AI Bias
- AI Explainability
- AI Scalability
- AI Adversarial Attacks
- AI for Scientists
- AI for Everyone
- An AI-based system to defend against moving threats (Military)
- An AI-based system to detect suspects (Low Enforcement)
- An AI-based system to detect interactions (Scientific and Entertainment)
Description Students will select a research topic aligned with my current AI research interests, which include AI-based cancer detection from images, AI-driven detection of academically at-risk students, AI-powered support systems, AI overfitting, AI bias, AI explainability, AI scalability, AI adversarial attacks, AI for scientists, making AI accessible for everyone, and the following specific projects:
- An AI-Based System to Defend Against Moving Threats (Military)
- An AI-Based System to Detect Suspects (Law Enforcement)
- An AI-Based System to Detect Interactions (Scientific and Entertainment)
Weekly Commitment
3 hours of research per workday
Research Activity Online Required GPA 3.0 or higher Preferred Major Computer Science and Engineering preferred, but all STEM majors are welcome
Student Level Any level (undergraduate or graduate) Qualifications Proficiency in Python
Experience AI project experience is required in a 1-page summary Graduation Timeline At least 3 months before graduation Available Positions 3 per semester Paid Position No
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