I am a Senior Machine Learning Engineer at Huawei Technologies Research & Development, supervised by Prof. Adam Barker. Prior to that I was a Machine Learning Engineer at Hyperscience.
I completed my PhD at The University of Edinburgh and Heriot-Watt University, part of the RAD group, supervised by Dr. Subramanian Ramamoorthy and Dr. Kartic Subr. I am working on the intersection of Robotics, Machine Learning and Physics, i.e. how can we solve highly dynamical tasks in uncertain environments by incorporating physical inductive bias. This allows for performing tasks such as localizing a gas leakage with a UAV, stopping an unknown bouncing ball mid-air, etc., by incorporating useful bias for wind and gas dispersion; free fall and restitution; etc. I am also a committee member of EdIntelligence and cohort representative for the Robotics RAS CDT.
PhD in Robotics and Autonomous Systems
The University of Edinburgh and Heriot-Watt University
MRes in Robotics and Autonomous Systems, 2017
The University of Edinburgh and Heriot-Watt University
BSc in Artificial Intelligence and Computer Science, 2016
The University of Edinburgh
Exchange Student, 2015
The University of California, Irvine
A basic introduction to Gaussian Processes and the mathematics behind them as well as some example applications.
Extract 3D information from a single static 2D image, using CNNs and computer-generated dataset.
Using machine learning and physics engines to build models able to better understand dynamics in the surrounding world.
Robots performing tasks in dynamic environments would benefit greatly from understanding the underlying environment motion, in order to make future predictions and to synthesize effective control policies that use this inductive bias. Online system identification is therefore a fundamental requirement for robust autonomous agents…
Robots performing tasks in dynamic environments would benefit greatly from understanding the underlying environment motion, in order to make future predictions and to synthesize effective control policies that use this inductive bias. Online system identification is therefore a fundamental requirement for robust autonomous agents…
Sensors are routinely mounted on robots to acquirevarious forms of measurements in spatiotemporal fields. Locating features within these fields and reconstruction (mapping) of thedense fields can be challenging in resource-constrained situations,such as when trying to locate the source of a gas leak from a smallnumber of measurements…
Code Poster Video DOI Publisher's link arXiv Demo Bibtex News article 1 News article 2