Rising Stars in EECS WorkshopPhotos Copyright Noah Berger / 2014Thank you for your visit!  I am currently an Assistant Professor at ASU’s CS department in the School of Computing, Informatics, and Decision Systems Engineering (CIDSE). Previously, I was a Research Scientist in the Computer Science and Artificial Intelligence Lab (CSAIL) at MIT. My goal is to develop and use technologies for improving robot-robot and human-robot teamwork.  The key to effective teamwork is communication.  So my research looks at ways that use wireless signals to improve communication in multi-robot teams and most recently, brain signals to improve communication in human-robot teams.  I’m interested in applications of my technologies to positioning systems indoors, human-robot collaboration, and making robot-robot teams robust and secure against cybersecurity threats.

One of my current efforts is on developing an indoor positioning technology that uses Wi-Fi to provide accurate (sub-meter) position estimates of devices indoors. We believe that this could have impact in healthcare, university campuses, and transportation where we can start to re-define the indoor space. Think of the ability to do a “Google search” for physical objects.

The focus of my dissertation work has been problems related to communication for multi-agent systems.  In particular we study how to position mobile routers such that they can provide communication coverage for clients, where these clients can be vehicles, robots, or people.  Real world solutions for this problem requires realistic communication modelling, big data analysis for large networks, and application of optimization tools (both centralized and distributed) for achieving networks with desired performance guarantees.  Separately, I have worked in the areas of hybrid model learning, energy harvesting, and have been a part of several NASA projects including Solar Sails and the Mars Exploration Rovers.

Please check out this YouTube video of my most recent research on intuitive human-robot communication using the human brain signals acquired via EEG:

  • intuitive human-robot communication using human brain signals