Papers
5
Total Citations
81
H-Index
4
About
Nurali Virani is a leading researcher in the safety and autonomy of cyber-physical systems, with a primary focus on securing mobile robots against sophisticated cyber-attacks. His seminal work, "RoboADS: Anomaly Detection Against Sensor and Actuator Misbehaviors in Mobile Robots" (2018, 49 citations), pioneered the use of physical dynamics to detect active attacks that transcend traditional cyber defenses, a critical contribution as robots become increasingly integrated into sensitive environments. Virani’s research spans anomaly detection, data-driven modeling, and risk-aware navigation. In "Exploiting Physical Dynamics to Detect Actuator and Sensor Attacks in Mobile Robots" (2017, 16 citations), he demonstrated how attackers can manipulate a robot’s physical behavior, and how to counter such threats. He has also advanced robot gait modeling using symbolic time series analysis and developed nonparametric Bayesian methods for imitation learning from demonstrations. His recent work on risk-aware autonomous navigation (2021) addresses the challenge of battlefield-ready robots operating at human tempo. With a strong foundation in hybrid systems and Bayesian filtering, Virani’s research is essential for building resilient, trustworthy autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Data-driven robot gait modeling via symbolic time series analysis6 citations · 2016
- 4
- 5Risk-aware autonomous navigation4 citations · 2021