Fariborz Farahmand is a Teaching Professor in the School of Electrical and Computer Engineering at Georgia Tech. He earned his master's degree in structural mechanics from the University of Manitoba, Canada, followed by a master's degree and a Ph.D. in computer science from Georgia Tech. He later completed a postdoctoral fellowship at Purdue University.
His research interests include AI and its applications in engineering education, AI safety and security, human-level AI, probabilistic reasoning, and cyber-physical systems. Fariborz has pioneered applications of causal (versus statistical) inference and the "do-operator" (a mathematical tool for intervention) to engineering education. Additionally, he applied neuroscience to cyber privacy research—establishing the new field of neuroprivacy—and integrated behavioral economics, vector spaces, and security engineering into mechanical engineering research. He has served as the principal investigator for various research and educational projects funded by the National Science Foundation, the Air Force Research Laboratory, and the Department of Homeland Security. His research and teaching achievements have been recognized with multiple awards and implemented by international organizations worldwide.
He is a member of Georgia Tech Faculty Senate, and a senior member of IEEE.
- IEEE Senior Member
- IEEE UEMCON Best Paper Award
- Georgia Tech Thank a Teacher
- I3P Postdoctoral Fellowship
Sample of Recent Publications
- Thinking fast and slow for artificial intelligence systems design, Journal of Engineering Design, Taylor & Francis, 2026
- AI Safety for Physical Infrastructures: A Collaborative and Interdisciplinary Approach, Fatigue & Fracture of Engineering Materials & Structures, Wiley, 2025
- Commonsense for AI: an interventional approach to explainability and personalization, AI & Society, Springer, 2024.
- A System Engineering Approach to AI Security and Safety, IEEE Computer, 2023
- Quantum Cognition: A Cognitive Architecture for Human-AI and In-Memory Computing, IEEE Computer, 2023.
- Integrating Cybersecurity and Artificial Intelligence Research in Engineering and Computer Science Education, IEEE Security & Privacy, 2021
- Quantitative Issues in Cyberinsurance: Lessons From Behavioral Economics, Counterfactuals, and Causal Inference, IEEE Security & Privacy, 2020 [Featured on Front Cover]
- Introducing Hilbert Space and Quantum Cognition to Cyber Security Risk Management, IEEE Letters of the Computer Society, 2020
Sample of Recent Courses
- AI for Engineering
- Random Processes
- Signals and Systems
- Digital Signal Processing
- Introduction to Probability and Statistics for ECE