Welcome to the Nanomagnetic Biosensors & Devices Group!

Led by Prof. Kai Wu, the Wu Lab is dedicated to advancing healthcare technologies through innovations in magnetic nanomaterials, spintronic devices, and intelligent sensing systems. Our interdisciplinary research integrates circuit design, physics, materials science, biology, and artificial intelligence to develop next-generation platforms for disease diagnosis and treatment. A key focus of our lab is developing spintronic devices for in-sensor computing, where sensing and computation are integrated directly in hardware to enable edge AI for healthcare applications, including neural sensing and wearable biomedical systems.

Our current research focuses on:

  • Magnetic nanomaterials and spintronic nanodevices for biomedical applications;
  • Wearable biosensors, including magnetic and optical sensing platforms;
  • Magnetic particle imaging (MPI) and magnetic resonance imaging (MRI);
  • In-sensor computing and edge AI for healthcare.

We aim to translate fundamental discoveries into practical medical technologies and welcome students and collaborators interested in interdisciplinary research at the intersection of nanotechnology, AI, and medicine.


Latest News

  • Dr. Wu Recognized as A Rising Star by Nanotechnology

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    Dr. Kai Wu has been recognized as a “Rising Star 2026” by Nanotechnology, an IOPscience journal. This recognition is associated with the group’s recent publication in Nanotechnology, titled “Data-driven and physics-informed estimation of magnetic nanoparticle properties via stochastic Langevin model”. In this work, the team addresses a key challenge in... [Read More]
  • New Paper Published in Journal of Physics D: Applied Physics

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    We are pleased to share that our new paper,”A systematic framework for harmonic set selection in multiplexed magnetic particle spectroscopy,” has been published in Journal of Physics D: Applied Physics. In this work, we address a key challenge in magnetic particle spectroscopy (MPS)-based biosensing: robust multiplexed detection. While MPS offers... [Read More]
  • Our Lab Publishes Two New AI-for-Healthcare Studies

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    Our lab has published two new AI-for-healthcare studies, both led by first author Majid Behzadpour. These studies were conducted in collaboration with Dr. Bengie L. Ortiz, a Texas Tech University alumnus, along with Ebrahim Azizi and Dr. Kai Wu. [Read More]

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