Linda Zhu

Linda Zhu is an Associate Professor in the Department of Computer Science, Engineering, and Physics at the College of Innovation and Technology, University of Michigan-Flint. Her interdisciplinary research bridges mechanical, biomedical, and neural engineering, with a strong focus on signal processing and sensor technologies for medical diagnostics.

Research Interests: Dr. Zhu’s work centers on Noise, Vibration, and Harshness (NVH), bioengineering, and neurological disease diagnosis. She develops innovative technologies for Parkinson’s disease monitoring, tinnitus detection, and structural health assessment. Her expertise spans neural computation, medical device development, and real-time sensor systems.

Publication Trends: Her recent publications (2017–2025) reflect a strong trajectory in applying machine learning and advanced signal processing to biomedical and mechanical challenges, particularly in Parkinson’s disease, auditory neuroscience, and smart materials. There is a clear interdisciplinary trend integrating engineering principles with clinical applications.

• Scientific Awards:
• CIT START fund (2023)
• 2022 IEEE Transactions Instrumentation and Measurement Outstanding Reviewer

Advising and Grants: Dr. Zhu actively mentors students and collaborates on research projects. She is a Co-Investigator on multiple funded grants, including a $20,000 Michigan Economic Development Corporation project on real-time road surface monitoring and a $429,000 NIH-funded study on mobile self-tracking for Parkinson’s patients. Her advising includes graduate and undergraduate researchers in engineering and computer science.

Labs and Teams: While not explicitly named, Dr. Zhu leads a research group focused on signal processing and sensor integration, collaborating with teams in otolaryngology, neurology, and mechanical systems. Her work involves multimodal sensory integration and neural signal analysis, indicating a well-established lab environment in biomedical and mechanical diagnostics.