Dinithi Jayasuriya
University of Illinois Chicago, University of Illinois Urbana-Champaign
Papers
3
Total Citations
12
H-Index
2
About
Dinithi Jayasuriya is an emerging researcher at the forefront of edge autonomy, intelligent sensing, and robust robotics perception. Her work tackles some of the most pressing challenges in deploying autonomous systems in real-world, resource-constrained environments — from insect-scale drones to smart cities and self-driving vehicles. Jayasuriya's most cited contribution, *STARNet* (2024, 7 citations), introduces a lightweight framework for detecting sensor anomalies and assessing trustworthiness across complex modalities such as LiDAR, RADAR, and event cameras, directly addressing the fragility of autonomous perception under diverse failure conditions. Her follow-up work on uncertainty-aware compute-in-memory autonomy (2024, 3 citations) pioneers energy-efficient pose estimation for miniature drones, enabling non-intrusive spatial intelligence in confined environments. Her 2025 survey on intelligent sensing-to-action loops (2 citations) further consolidates her vision of seamlessly integrating sensing, computation, and actuation for real-time edge decision-making. Though early in her career, Jayasuriya's research addresses a critical gap between hardware limitations and robust autonomy, making her work highly relevant to researchers in robotics, neuromorphic computing, and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3