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Shixin Xu

Assistant Professor of Mathematics at Duke Kunshan University
DKU Faculty

Overview


Shixin Xu is an Assistant Professor of Mathematics whose research spans several dynamic and interconnected fields. His primary interests include machine learning and data-driven models for disease prediction, multiscale modeling of complex fluids, neurovascular coupling, homogenization theory, and numerical analysis. His current projects reflect a diverse and impactful portfolio:

  • Developing predictive models based on image data to identify hemorrhagic transformation in acute ischemic stroke.
  • Conducting electrodynamics modeling of saltatory conduction along myelinated axons to understand nerve impulse transmission.
  • Engaging in electrochemical modeling to explore the interactions between electric fields and chemical processes.
  • Investigating fluid-structure interactions with mass transport and reactions, crucial for understanding physiological and engineering systems.

These projects demonstrate his commitment to addressing complex problems through interdisciplinary approaches that bridge mathematics with biological and physical sciences.

Current Appointments & Affiliations


Assistant Professor of Mathematics at Duke Kunshan University · 2019 - Present DKU Faculty
Assistant Professor of the Practice of Interdisciplinary Studies at DKU Unit at Duke University · 2026 - Present Interdisciplinary Studies at DKU Unit, DKU Faculty

Recent Publications


Thermodynamically consistent modeling and stable ALE approximations of reactive semi-permeable interfaces

Journal Article Computer Methods in Applied Mechanics and Engineering · January 1, 2026 Reactive, semi-permeable interfaces play important roles in key biological processes such as targeted drug delivery, lipid metabolism, and signal transduction. These systems involve coupled surface reactions, transmembrane transport, and interfacial deform ... Full text Cite

Robust-GBDT: leveraging robust loss for noisy and imbalanced classification with GBDT

Journal Article Knowledge and Information Systems · December 1, 2025 Label noise and class imbalance are persistent challenges in tabular classification tasks. We propose Robust-GBDT, a Gradient Boosting Decision Tree framework that integrates nonconvex loss functions to improve robustness under such adverse conditions. We ... Full text Cite

Glymphatic Clearance in the Optic Nerve: A Multidomain Electro-Osmostic Model.

Journal Article Entropy (Basel, Switzerland) · November 2025 Effective metabolic waste clearance and maintaining ionic homeostasis are essential for the health and normal function of the central nervous system (CNS). To understand its mechanism and the role of fluid flow, we develop a multidomain electro-osmotic mod ... Full text Cite
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Education, Training & Certifications


University of Science and Technology of China (China) · 2013 Ph.D.

External Links


Personal Webpage