I am a senior research scientist at Zebra Technologies, working on machine learning and computer vision. In particular, I focus on model compression tecniques to optimise machine learning models; improve accuracy, and reduce inference time and size. I am also a visiting researcher in the Dept. of Computer Science at the University of Sheffield, UK.
Prior to my current appointment, I was a postgraduate research associate at the same university and a member of Mangan Lab. My research project was funded by EPSRC/ ActiveAI. I completed my PhD studies in Natural Robotics Lab, under the supervision of Dr Roderich Gross, at ACSE at the University of Sheffield. During my PhD, I worked with swarm robotics and modular robotic systems where I developed a deep interest into self-organisation and artificial intelligence.
PhD Automatic Control and System Engineering, 2019
The University of Sheffield
BSc in Mechanical Engineering, 2015
BSc in Mathematics, 2014
The pre-print of our work on utilising Echo State Network models for the Visual Place Recognition problem is out now. The results suggest that ESNs can capture the temporal structure inherent in VPR problems and improve generalisation abilities, robustness, and accuracy. Links to the paper and the accompanying repo.
Honoured to be part of Program Committee (PC) of the IRMAS - Intelligent Robotics and Multi-Agent Systems technical track on the 37th ACM Symposium on Applied Computing ( SAC 2022).
With my colleague Laura, we participated in Machine Learning Reproducibility Challenge. You can check out the report and the GitHub repo. Weights & Biases interactive gallery is online now!
I am honoured to be an ambassador for AI Hub, a community-driven AI news page. Check out my recent interviews with Eleni Vasilaki, Michael Milford and Ali Boyle. More to come, stay tuned!
Excited to be a member of the operations committee for Sheffield Robotics, mainly working on organising events and managing the webpage.