I am currently a Ph.D. student in the Robotics program at the Georgia Institute of Technology where I am advised by Dr. Jeff Shamma (Decision and Control Laboratory) and Dr. Magnus Egerstedt (GRITS Laboratory) My research interests lie in the overlap of robotics (specifically self-reconfigurable robotics and self-assembly), decentralized control, and distributed algorithms. Ultimately, my goal is to advance the field of self-reconfiguration to a state where multi-purpose modular robots can accomplish complex tasks in our everyday life and are available to the masses.
Previously, I worked at Qualcomm where I investigated and implemented autonomy concepts for telepresence robots. I have also worked with Dr. Santiago Balestrini and Dr. Dimitri Mavris in the Aerospace Systems Design Laboratory as a robotics research assistant. My work focused on developing and deploying autonomous surface vessels for the 5th RoboBoat Competition sponsored by the Association for Unmanned Vehicle Systems International. In my position as lead software engineer, I was responsible for systems integration entailing 3D sensing, control, object recognition and detection and the decision making architecture. My main contribution was the development of algorithms for 3D point cloud generation and segmentation and the further processing of those point clouds.
In May 2012, I graduated from Georgia Tech with a M.Sc. degree in Electrical and Computer Engineering with a focus on systems and control. My thesis, written under the supervision of Dr. Magnus Egerstedt, focused on the problem of self-reconfiguration, specifically centralized reconfiguration planning and decentralized reconfiguration execution.
I received my B.S. degree in Electrical Engineering from the University of Technology in Vienna in 2010. For my graduate studies at Georgia Tech, I received the Fulbright Student Fellowship in 2009 and started my masters degree in 2010. From 2008 to 2009, I was a research assistant at Carnegie Mellon University, Pittsburgh, where I conducted research on massively parallel computing in the domain of signal processing. My work at Carnegie Mellon was supported by a fellowship from the University of Technology in Vienna.
In my spare time, I enjoy tennis, rock climbing, slack lining, and recently tinkering with the Arduino microcontroller for home automation and the control of RC planes and helicopters for which I re-activated my co-axial toy helicopter.