Electrical Engineering

Nanoscale Materials to Solve Next Generation Challenges

Our lab is interested in the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction. We work on robotics and machine learning, and we are affiliated with SAIL, the ML Group, the Stanford Robotics Center, and CRFM.

The Pop Lab is a research group led by Prof. Eric Pop in Electrical Engineering (EE) and Materials Science & Engineering (MSE) at Stanford University. We are located in the Paul Allen Center for Integrated Systems (CIS), working in the Stanford Nanofabrication Facility (SNF) and the Stanford Nano Shared Facilities (SNSF). We are affiliated with the Stanford SystemX Alliance and the Non-Volatile Memory Technology Research Initiative (NMTRI).

The research interests of the molecular imaging instrumentation lab are to create novel instrumentation and software algorithms for in vivo imaging of molecular signatures of disease in humans and small laboratory animals. These new cameras efficiently image radiation emissions in the form of positrons, annihilation photons, gamma rays, and/or light emitted from molecular contrast agents that were introduced into the body and distributed in the subject tissues.

My group does medical imaging research.  Particular areas of interest are image guided interventions, image reconstruction, and fast imaging methods. We are particularly interested in the application of machine learning methods for

I am interested in how we could use electronics to treat diseases. I am particularly interested in diseases where currently, there is no drug to cure it (Alzheimer's disease), drug has side effects (obesity), and drug is too expensive (diabetes). For the obesity project, I have a hypothesis on the plasticity of white adipose tissue. I am looking for postdoc students to validate the hypothesis and then build the device making use of the hypothesis to treat obesity.

My research interests revolve around the following areas: - Novel systems and methods for x-ray and CT imaging - Applications of x-ray/CT to image-guided interventions and therapy and diagnostic imaging - Dual energy / spectral imaging, including photon counting detectors - Applications of artificial intelligence / machine learning / deep learning to medical imaging - Monte Carlo and Deterministic methods for x-ray imaging and radiation dose - Model-based image reconstruction

Prof. Wang and his group are engaged in the research of magnetic nanotechnologies and information storage in general, including magnetic biochips, in vitro diagnostics, cell sorting, magnetic nanoparticles, nano-patterning, spin electronic materials and sensors, magnetic inductive heads, as well as magnetic integrated inductors and transformers. He uses modern thin-film growth techniques, lithography, and nanofabrication to engineer new electromagnetic materials and devices and to study their behavior at nanoscale and at very high frequencies.