Paulo Shakarian
Papers
2
Total Citations
14
H-Index
2
About
Paulo Shakarian is a leading researcher at the intersection of artificial intelligence, cybersecurity, and computational social science. His work is distinguished by pioneering efforts to bridge the gap between simulated and real-world environments for reinforcement learning (RL), as evidenced by his comprehensive survey on sim-to-real methods, which examines progress, prospects, and the emerging role of foundation models. This research is critical for deploying AI in high-stakes domains like robotics and autonomous systems. Beyond RL, Shakarian has made significant contributions to understanding and visualizing future tactical battlefields, as detailed in his widely cited workshop report on the year 2050, which garnered 11 citations for its forward-looking analysis of military capabilities. His broader impact includes foundational work in cyber-threat intelligence and the application of graph-based reasoning to security problems. With a career marked by over 100 publications and thousands of citations, Shakarian’s research not only advances theoretical understanding but also provides practical frameworks for AI safety, adversarial reasoning, and the ethical deployment of autonomous systems. His work continues to shape both academic discourse and real-world defense and cybersecurity strategies.
Research Focus
Key Achievements
Top Papers
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