Nathalia Peixoto

Associate Professor, Electrical and Computer Engineering
Associate Professor
University Affiliate Faculty
Associate Professor, Electrical and Computer Engineering
Director, The Neural Engineering Laboratory

Contact Information MORE LESS

  • 703-993-1567 (office)
  • Peterson Hall, 4000
    4400 University Drive, MS 1G5
    Fairfax, VA 22030

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Biography

Nathalia was a technician in electronics and robotics before she decided to go to college. After attending universities in Brazil (Unicamp and USP) and Germany (Stuttgart and Bonn), she was a researcher at Stanford. She still likes to travel and her group collaborates with universities in Israel, Ireland, Peru, and Korea.

The Neural Engineering Lab is affiliated with the ECE and Bioengineering Departments. Our team has interests in Chemistry, Math, Physics, and in several Engineering disciplines. High school, undergraduate, and graduate students perform team-based projects on assistive technology, wearable embedded systems, neural implants, and bioinstrumentation.

Nathalia’s activities center around teaching Circuits, Team-Based projects, and Neural Prosthetics (graduate level class). She attends (too many) meetings but she would rather stay in the lab and play with electronics, soldering, and cell cultures. She also sometimes presents “what is engineering” to elementary and middle schools.

Degrees

PhD, Electrical Engineering, Universidade de Sao Paulo (2001)

MS, , University of Campinas

More Information

Faculty Rank: Associate Professor

Research

2019-2024 : NRT-HDR: Transdisciplinary Graduate Training Program in Data-Driven Adaptive Systems of Brain-Body Interactions.

2020-2021 : Tremor: Design of a robot for capturing ticks in low-income areas.

2017 - 2019 : EAGER:Smart and Connected Communities: Engineering Networked Devices for Multiteam Learning and Performance.

2016 - 2018 : Brain-computer interfaces: a hands-on, hybrid graduate experience.

2015 - 2017 : Bioimpedance of stimulating electrodes for the safe placement of retinal implants. Funded by National Science Foundation.

2015 - 2016 : C2MW: Classroom to Makers Week.

2013 - 2016 : Identification and Control for Pattern Steering in Dynamical Networks. Funded by National Science Foundation.

2013 - 2014 : VA STEM CoNNECT. Funded by Longwood University.

Research Interests

Neural Interfaces, Virtual Reality, Wearable Sensors for Biomedical Applications