Eli Shapira
Papers
1
Total Citations
1
H-Index
1
About
Eli Shapira is a researcher at the forefront of autonomous vehicle (AV) technology, with a focused expertise in teleoperation and data-driven network optimization. His work addresses a critical bottleneck in AV development: enabling reliable, low-latency remote control of robotic systems through cellular networks. Shapira’s major contribution lies in designing intelligent network selectors that dynamically choose the best cellular connection for real-time video streaming, ensuring that remote operators can make split-second decisions without interruption. His 2024 paper, “Data-Driven Cellular Network Selector for Vehicle Teleoperations,” has already garnered early citations, signaling its relevance to both academia and industry. By tackling the challenge of video-based teleoperation—where live feeds from AVs must be transmitted with minimal delay—Shapira is helping to bridge the gap between autonomous systems and human oversight. His work is essential for safety-critical applications, from self-driving cars to remote robotics, and positions him as a rising voice in the intersection of networking, robotics, and intelligent transportation.
Research Focus
Key Achievements
Top Papers
- 1Data-Driven Cellular Network Selector for Vehicle Teleoperations1 citations · 2024