Liwu Zhang

Papers

Total Citations

H-Index

About

Liwu Zhang is a pioneering researcher at the intersection of biomedical diagnostics and cybersecurity, with key contributions in surface-enhanced Raman scattering (SERS) and machine learning for IoT security. His most impactful work, the 2022 paper "SERS-based antibiotic susceptibility testing: Towards point-of-care clinical diagnosis," has garnered 86 citations, demonstrating its significance in advancing rapid, portable diagnostic tools for combating antimicrobial resistance. This research addresses a critical global health challenge by enabling real-time pathogen identification and drug sensitivity analysis without traditional lab infrastructure. In parallel, Zhang explores IoT device identification through machine learning, as seen in his 2020 study (3 citations), which tackles the pressing issue of securing vulnerable networked devices in practical environments. By developing algorithms to quickly classify device types, he contributes to smarter, safer network management. Zhang’s work bridges physical and digital realms, offering solutions that range from clinical point-of-care testing to robust cybersecurity frameworks. His interdisciplinary approach—combining analytical chemistry, nanotechnology, and artificial intelligence—positions him as a forward-thinking innovator whose research has tangible implications for healthcare and network security.