Developing the autonomy software stack for a new research rover platform for the CoHORT (Cooperative Human Operations with Robot Teams) project, which is based on the Mercury 7 rover developed for NASA JPL's CADRE Mission.

Perception Systems Group, Mobility and Robotic Systems Section

Perception Systems Group, Mobility and Robotic Systems Section.Sep 2021–Present: DARPA RACER Program - Working in the Perception Sub-Team of the JPL-lead group participating in the DARPA RACER program with the goal of developing a variety of geometric and semantic perception systems to enable autonomous navigation and traversal capabilities for a fast-paced vehicle in complex off-road environments. - Leading various project management tasks, including organizing presentations and deliverables for frequent project review meetings.Jan 2021–Sep 2021: DARPA Subterranean (SubT) Challenge - Team CoSTAR - Member of the Artifact Sub-Team of Team CoSTAR, which was responsible for identifying and localizing artifacts (e.g. backpacks, cellphones and human survivors) in a mixture of challenging urban, tunnel and cave-like environments using the perception systems of a team of ground and aerial robots as part of the DARPA SubT Challenge. - Gained hundreds of hours of experience with experimental work, technical challenges,logistics and teamwork during field tests at a variety of locations across the US.Feb 2020–Present: Mars Sample Return (MSR) Mission - Trained deep neural network models and developed benchmarking software for sample tube localization using datasets gathered in the Mars Yard. - Worked on ROS-based simulation software for developing tube depot construction andrecovery strategies with the Perseverance and Fetch rovers respectively. - Participated in an end-to-end experiment with the Athena rover in the Mars Yard to demonstrate the feasibility of terrain-relative navigation and sample tube localization.Feb 2020–Present: InVADER Mission - Developed software for simulation of the shape and growth of black smoker hydrothermalvent chimneys using a mathematical model. - Developed ROS-based simulation of the InVADER in-situ articulated vision platform for planning future experimental data gathering at vent sites.

Humanoid & Cognitive Robotics Lab, Department of Automatics, Biocybernetics & Robotics.Worked on European Union Horizon 2020 Project QU4LITY.Continued work on extending image-to-motion encoder-decoder deep neural network architectures to handle sequential data in human-robot interaction scenarios.

Department of Brain Robot Interface, Computational Neuroscience Laboratories.Invited for a three month period as a visiting researcher to extend prior work on image-to-motion encoder-decoder deep neural network architectures to handle sequential data in human-robot interaction scenarios.

Humanoid & Cognitive Robotics Lab, Department of Automatics, Biocybernetics & Robotics.Worked on European Union Horizon 2020 Project QU4LITY.􏰡Worked on European Union Horizon 2020 Project AUTOWARE. - Developed project for deployment of deep neural network training jobs for visual inspection and quality control tasks to high-performance computing cluster using Nordugrid ARC middleware.

Department of Brain Robot Interface, Computational Neuroscience Laboratories.􏰡Recipient of an NICT Japan Trust International Research Cooperation Program Fellowship. - Designed a novel neural network architecture allowing a robot to learn hand-writing trajectories from images of digits in different poses. - Developed a ROS stack for control of the CBi humanoid robot, both real and simulated.

Humanoid & Cognitive Robotics Lab, Department of Automatics, Biocybernetics & Robotics.2016–2019: Worked on European Union Horizon 2020 Project ReconCell. - Designed an API for ROS state machine meta-scripting, templating & code generation. - Co-designed ROS architecture for control of rapidly reconfigurable robotic workcell. - Coordinator between robot control team and visual programming interface team.􏰡2013–2016: Worked on European Union FP7-ICT Project ACat. - Built Matlab-based GUI timeline editor for extracting information from ROS bags. - Lead author of deliverable on action execution.􏰡2012–2016: Worked on European Union FP7-ICT Project Xperience. - Designed novel 3D visual feature descriptors grounded with respect to robot actions. - Developed methods for self-supervised bootstrapping of object affordance categories.

Visual Cognitive Systems Lab, Faculty of Computer & Information Science.􏰡 2010–2012: European Union FP7-ICT Project CogX. - Developed self-supervised multi-view online learning vector quantization algorithm. - Integrated work within the overall CogX project software framework.􏰡2006–2009: European Union FP6 Marie-Curie RTN Project: VISIONTRAIN. - Ph.D. research on learning object affordances where a robot arm was used to push household objects while visual features were recorded using data from camera systems.􏰡2006–2008: European Union FP6-IST Project: CoSy. - Co-developed methods for continuous learning of simple visual concepts.

Taught pre-calculus & calculus to a first year undergraduate tutorial group.

Worked on redeveloping surfingireland.net, a website for the Irish surfing community. Employed to develop a content management system for a private business website.

Worked extensively on the ireland.com property portal page and gained experience working in many tiers of the web product lifecycle, from testing to development.

Tutored large lab groups & supervised lab examinations in Assembly, Java and C programming at the department’s computer laboratories.

Designed & built an employee timesheet database system to assist in logging the working hours of off-site employees. Also helped maintain other databases.