I received my M.Eng degree in Computer Engineering and Informatics from the University of Patras in Greece. Currently, I live in London and I am a Ph.D. candidate in the Department of Electrical and Electronic Engineering at Imperial College London, under the supervision of Dr. Christos-Savvas Bouganis, within the Intelligent Digital Systems Lab (iDSL).  

I am also fortunate to join Samsung AI Center, Cambridge (SAIC-C), as a Researcher. 

"Towards Embedded Robot Visual Intelligence" 
My current research focuses on high performance embedded (hardware and software) Deep Learning systems, with particular interest on Visual Perception applications related to intelligent mobile robots and Unmanned Aerial Vehicles (UAVs). I am interested on exploiting approximation techniques to explore the trade-off between performance and accuarcy in real-world tasks.
From a systems perspective, I focus on custom hardware implementations on FPGAs, and efficient mappings of machine learning models to GPUs. 

My Ph.D. is funded by the Engineering and Physical Sciences Research Council (EPSRC), through the High-Performance Embedded and Distributed Systems (HiPEDS) Centre for Doctoral Training. 

Collaborations
I am also affiliated with the Centre for Spatial Computational Learning and have active collaboration with Dr. Stefan Leutenegger from the Dyson Robotics Lab at Imperial College London, Dr. Stylianos Venieris for Samsung AI Research, Cambridge, and Dr. Christos Kyrkou from the KIOS Research Center of the University of Cyprus. 

Before that...
I have completed a 6-month research internship at Samsung AI center, Cambridge, within 2020. I worked on developing adaptive multi-exit CNNs for efficient dense scene understanding (Semantic Segmentation), wrapped in automated architecture search framework forming a train-once, deploy-everywhere solution for devices with varying computational resources under user-specified latency/accuracy constraints. I also collaborated with a production team to optimise a deployment-level model, for integration to next generation Samsung devices.

I also joined Arm Research, Cambridge, during the summer of 2019, as an Emerging Technologies Research Intern, working on developing Deep Learning models for Machine Perception that target environmental and situational awareness, focusing on Action Recognition and investigated optimizations for the efficient deployment of such models to Arm hardware (CPU, ML Processor).

In the past I have also focused my work on Human-Robot Interaction (Collision detection and avoidance), autonomous mobile robots for fast and accurate line following, as well as in High-Performance Computing targeting numerical linear algebra kernels and kernels for data mining.


TLDR
  Sep 2021:   Elected Associate Fellow of the British Higher Education Academy.
  Mar 2021:  Joined Samsung AI Center, Cambridge as a Researcher.
  May 2020: Joined Samsung AI Center, Cambridge as a Reserach Intern in Machine Learning.
  May 2019: Joined Arm Research, Cambridge as an Emerging Technologies Research Intern.
  Oct 2016:  Started my Ph.D. at Imperial College, London under the supervision of Dr. Bouganis.
  Mar 2016: Graduated from Computer Engineering Dept. at University of Patras.
  Sep 2015:  Joined the Robotics Group of the Mechanical Engineering Dept. at University of Patras.
  Sep 2014:  Awarded position of Project Lead/Manager at Robotics Club, University of Patras.