Moahmmad Eshghi
Papers
1
Total Citations
22
H-Index
1
About
Dr. Mohammad Eshghi is a leading researcher at the intersection of computer vision, privacy preservation, and the Internet of Things (IoT). His work primarily focuses on developing secure frameworks for visual data in autonomous and robotic systems, addressing critical challenges in smart city infrastructure and service robotics. His most cited work, "Deep Visual Privacy Preserving for Internet of Robotic Things" (2019), has garnered 22 citations and stands as a foundational contribution to the field. In this paper, Dr. Eshghi introduced novel deep learning-based techniques to anonymize visual information collected by smart vehicles, surveillance cameras, and robotic platforms, ensuring that sensitive data can be processed without compromising individual privacy. This research is particularly impactful given the exponential growth of visual data transmission in modern applications. Dr. Eshghi’s contributions are vital for enabling secure, privacy-aware deployment of IoT and robotic technologies, making him a key figure in the ongoing effort to balance technological advancement with ethical data handling. His work continues to influence both academic research and practical implementations in privacy-preserving computer vision.
Research Focus
Key Achievements
Top Papers
- 1Deep Visual Privacy Preserving for Internet of Robotic Things22 citations · 2019