Research Experiences for Undergraduates

2018 NSF Research Experiences for Undergraduates (REU): June 17 – August 24, 2018

Next-Generation Health Monitoring Systems with Flexible Electronics, Novel Algorithms and Secure Communications

Program Overview and Goals

The Research Experience for Undergraduates (REU) site in electrical engineering (EE) at the University of Washington Bothell (UWB) plans to engage a diverse group of undergraduate (UG) students in interdisciplinary and collaborative research supervised by faculty members who have different but complementary specializations in biomedical engineering, signal processing and data security. One of the main objectives of this REU site is to increase the participation of women, underrepresented minorities, and first-generation students in UG research in EE and Computer Science (CS). The team plans to recruit 10 REU students per year for three years (2018-2020) and engage them in rewarding interdisciplinary research experiences. The research projects will provide opportunities for the students to develop their research skills by exposing them to interdisciplinary, collaborative, cutting-edge, and accessible research. Each group of students will work on a specific project while collaborating with the other groups to solve a bigger problem.

The team has put together rigorous and complex projects which tackle contemporary research challenges and are accessible to undergraduate students. The overarching theme of these projects is advancing the technologies for the development of reliable, low-cost and comfortable health monitoring devices having features such as delivering real-time data over the internet for remote care and cloud processing. The projects cover research problems in device and system fabrication; bio-signal processing; and data security and computing.

Application Deadline: April 20, 2018 for Summer 2018

Research Projects

  • Fabrication of flexible microelectrode array (MEA) patches for bio-potential recording.
  • Miniaturization of recording and communication circuits.
  • Filtering and classifying ECG signals.
  • Extraction of fetal ECG (fECG) from the mixed fetal/maternal ECG (f/mECG).
  • Secure Internet of Things (IoT) connected healthcare.
  • Machine learning-based anomaly detection.

Application Process

Include the following documents in a single pdf file and email it to

  • Application form.
  • Transcripts.
  • Two recommendation letters.
  • Personal statement.
  • Resume.

Awards will be announced on May 5, 2018

  • $5,000 stipend for 10 weeks.
  • On-campus housing.
  • Travel expenses up to $500.


Contact Dr. Ghirmai or Dr. Cao


2018 Application Form


2018 Summer REU Flyer