Jie Hou

Jie Hou is a Research Fellow in the Department of Electronics at the University of Oslo, Norway. His work bridges biomedical engineering and reproductive biology through advanced sensing technologies. Affiliated with the Charlotte Boccara Group in Systems Neuroscience & Sleep, he focuses on physiological signal analysis and medical diagnostics.

• Current Role: Department of Electronics, University of Oslo
• Key Affiliation: Charlotte Boccara Group - Systems Neuroscience & Sleep
• Research Themes: Biomedical sensors, tissue impedance analysis, machine learning applications, and reproductive physiology

His research interests combine electrical bioimpedance with dielectric spectroscopy for medical diagnostics. Specific projects include:

• Quantifying dental anxiety through electrodermal activity sensors
• Assessing intestinal/liver ischemia-reperfusion injuries via electrical properties
• Exploring mitochondrial function in porcine oocyte and embryonic development
• Developing deep learning models for tissue viability classification
• Characterizing adipose tissue using machine learning-enhanced impedance spectroscopy

Scientific Contributions span 2019-2024, with 15 recent publications highlighting interdisciplinary work:

• 2024: 5 groundbreaking studies on dental anxiety sensors, bioimpedance variability, and mitochondrial complex regulation in reproduction
• 2023: 4 innovative articles on epigenetic stress in embryos and AI-enhanced tissue characterization
• 2022: 3 major works combining dielectric spectroscopy with deep learning for organ viability assessment

His work demonstrates technical mastery in sensor development and biological insight into reproductive mechanisms.

Collaborations include partnerships with:

• Prof. Ørjan Grøttem Martinsen (UiO) - 7 joint papers
• Dr. Christian Tronstad - 3 publications on clinical monitoring
• Systems Neuroscience Group - 2020-2024 research synergy

His electronic engineering background enables novel applications in medical diagnostics and reproductive health.