Pengcheng Hou
Papers
5
Total Citations
34
H-Index
3
About
Pengcheng Hou is a researcher whose work bridges two critical frontiers in modern technology: precision indoor localization and robotic radiosurgery. His most impactful contribution, a 2022 study on two-dimensional RSSI-based indoor localization using multiple leaky coaxial cables and a probabilistic neural network, has garnered 19 citations, highlighting its significance for 5G and future communication systems. Hou’s research addresses the growing demand for accurate, simultaneous localization of multiple users in complex indoor environments, as seen in his work on time-of-arrival estimation for IoT applications. In the medical domain, Hou has made notable strides in robotic radiosurgery, developing motion-tracking models that correlate skin surface and tumor movement for treatment planning. His 2020 study on this topic, with 6 citations, and his design of a holistic thoracoabdominal phantom for respiration tracking tests (2018) demonstrate his commitment to improving the precision of radiation therapy for moving tumors. By integrating 3D point cloud analysis to model thoracic-abdominal surface and tumor motion, Hou’s work directly addresses the challenge of treating lung and abdominal tumors with minimal damage to healthy tissue. His interdisciplinary approach—combining signal processing, neural networks, and biomedical engineering—positions him as a key contributor to both smart infrastructure and advanced healthcare technologies.
Research Focus
Key Achievements
Top Papers
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