Kooshan Hashemifard
Papers
1
Total Citations
5
H-Index
1
About
Kooshan Hashemifard is a researcher at the forefront of Ambient-Assisted Living (AAL) and intelligent sensor systems, focusing on enhancing safety and autonomy for aging populations. His most-cited work, "A Fallen Person Detector with a Privacy-Preserving Edge-AI Camera" (2023), introduces a low-cost, privacy-preserving sensor system integrated with mobile robots for robust fall detection in AAL environments. This contribution addresses critical challenges in elderly care by combining edge-AI processing with privacy safeguards, ensuring real-time monitoring without compromising personal data. With 5 citations, his research demonstrates growing impact in the intersection of computer vision, robotics, and assistive technology. Hashemifard’s work is notable for its practical, scalable approach—offering a deployable solution that balances technological sophistication with ethical considerations. His innovations pave the way for smarter, more responsive living spaces, making him a key voice in the evolution of privacy-conscious, AI-driven healthcare systems.
Research Focus
Key Achievements
Top Papers
- 1A Fallen Person Detector with a Privacy-Preserving Edge-AI Camera5 citations · 2023