
Fariborz Farahmand is a research faculty member in the Georgia Tech School of Electrical and Computer Engineering. Fariborz received his master's in structural mechanics from the University of Manitoba, Canada, his master's and Ph.D. in computer science from Georgia Tech and completed his postdoctoral fellowship at Purdue University.
His research interests are in human-level AI, AI safety and security and their engineering applications, probabilistic reasoning, cyber-physical systems, and engineering education. Pioneering applications of neuroscience to cyber privacy research and starting the new field of neuroprivacy, and applications of causal (vs statistical) inference, behavioral economics, and vector space to security engineering and mechanical engineering research and do-operator (a mathematical operator for intervention) to engineering education are some examples of his research contributions. Fariborz has been the principal investigator of various research projects supported by the National Science Foundation, Air Force Research Laboratory, and Dept. of Homeland Security. His research and teaching have been recognized by various awards and have been adapted and implemented by international organizations around the world.
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, 2025
- 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.