Nabeel Alzahrani
Contact
Bio
Dr. Alzahrani is an adjunct professor in the Department of Computer Science and Engineering at California State University, San Bernardino (CSUSB), specializing in artificial intelligence (AI), high-performance computing (HPC), and cybersecurity. He earned his Ph.D. in Computer Science from the University of California, Riverside. Dr. Alzahrani also serves as a consultant in the Identity, Security, and Enterprise Technology Department at CSUSB. He is the co-founder of the Artificial Intelligence, Quantum Computing, Fusion Energy, and Semiconductors (AQFS) Research and Training Lab at CSUSB. In addition, he is a published author of books and research papers and has delivered numerous presentations in his field.
Education
Doctoral degree (Ph.D.) with a 4.00 GPA (out of 4.00) from the Computer Science and Engineering (CSE) department, Bourns College of Engineering (BCOE), 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
Specialization
- Artificial Intelligence (AI), including AI applications in:
- High-Performance Computing (HPC)
- Fusion Energy
- Quantum Computing
- Semiconductors
- Healthcare
- Cybersecurity
Research and Teaching Interests
Publications
- 2025
- Alzahrani, N., “Accessible AI and HPC Education for All,” Association for Computing Machinery (ACM) Practice & Experience in Advanced Research Computing (PEARC ’25) Conference, Columbus, OH, United States, July 20–24, 2025.
AI Presentations & Talks
- 2025
- August 5 – University of Colorado Boulder, CU-RMACC AI Workshop, Boulder, Colorado: Introduction to AI, covering:
- Artificial Intelligence, Machine Learning, Deep Learning, Large Language Models, Generative AI, AI tools such as ChatGPT, AI ethics, Powering AI with fusion energy, and accessible AI resources for K-12 and beyond to accelerate research and innovation
- April 11 – California State University, San Bernardino (CSUSB) California Semiconductor Workforce Development and Innovation for Future Technologies Symposium (CalSWIFT'25): AI to Accelerate Semiconductor Research and Innovation
- April 2 – National Artificial Intelligence Research Resource (NAIRR), AI Unlocked: Empowering Higher Education through Research and Discovery, Denver, Colorado: Introduction to AI
- March 26 – CSUSB Office of Student Research: Introduction to AI
- March 14 – CSUSB Finance, Technology, and Operations (FTO) Business Conference: Introduction to AI
- March 10 – CSUSB Computer Science & Engineering (CSE) Department: Introduction to AI (Sponsored by CSUSB CSE, with faculty & students from Computer Science & Engineering, Cybersecurity, Mathematics, Chemistry, and Cognitive Science)
- February 21 – CSUSB PROPEL AI Symposium: Introduction to AI
- August 5 – University of Colorado Boulder, CU-RMACC AI Workshop, Boulder, Colorado: Introduction to AI, covering:
- 2024
- October 31 – CSUSB Office of Student Research: Introduction to AI
- October 9 – CSUSB Information Technology Services (ITS) Tech Talks Conference: Introduction to AI
- September 26 – CSUSB Computer Science & Engineering (CSE) Department: Introduction to AI
- July 21 – Practice & Experience in Advanced Research Computing (PEARC'24) Conference, Providence, Rhode Island: Introduction to AI
AI Research Opportunities for Students
- Using AI and HPC to Accelerate Academic Research in Fusion Energy
- Accelerating Academic Research Using AI and HPC
- AI-Based Cancer Detection
- AI-Driven Academically At-Risk Student Detection
- AI-Powered Support Systems
- AI Deep Neural Networks (DNN or Deep Learning, DL) and Large Language Models (LLMs)
- Overfitting
- Bias
- Explainability
- Scalability
- Adversarial Attacks
- AI for Scientists
- AI for Everyone
- AI-Based System to Defend Against Moving Threats (Military)
- AI-Based System to Detect Suspects (Law Enforcement)
- AI-Based System to Detect Interactions (Scientific and Entertainment)
- AI-Based Software Vulnerability Detection
- AI-Based Cyber Threat Detection
AI Research Required Student Skills
- AI and HPC to Accelerate Academic Research
- Addressing Hallucinations in Large Language Models (LLMs) Like ChatGPT
- Python Programming (use only the two green buttons “Previous” and “Next” to navigate the tutorial and avoid ads)
- GitHub
- Colab (or Jupyter Notebooks)
- Computer Vision with TensorFlow
- Building a Brain in 10 Minutes
- Retrieval-Augmented Generation (RAG)
- AI Agents
Paid Internships for Students
- AI4ALL Ignite
- Student Training and Engagement Program (STEP)
- Research Experiences for Undergraduates (REU)