Evripidis (or Evri) is a post-doctoral Research Associate at the University of Edinburgh, School of Informatics, and the University of Groningen, Faculty of Science and Engineering.
He is interested in bio-accurate artificial intelligence and information theory, and he currently studies the effectiveness of different forms of working memory constrained by insect neuroscience and nanotechnology hardware, aiming to build an anatomically-accurate polirised light compass circuit.
Scientific questions he is curretly working on:
PhD, Bio-inspired Robotics & Autonomous Systems, 2022 (expected)
University of Edinburgh
MSc, Artificial Intelligence, 2016
University of Edinburgh
BSc, Computer Science, 2013
Aristotle University of Thessaloniki
Modelling differential roles for identified dopaminergic and output neurons of the fruit-fly mushroom bodies combined with a novel dopaminergic plasticity rule explains neural and behavioural phenomena in olfactory learning tasks.
I explore the effectiveness of different forms of working memory constrained by the biology and nanotechnology hardware and build an anatomically-accurate polarised light compass circuit.
Advisors: Dr Michael Mangan (Sheffield), Prof Barbara Webb (Edinburgh).
Project: Invisible Cues, Funding: Engineering and Physical Sciences Research Council.
I was responsible for investigating the information content of polarised light in relation to animal navigation before using the outcomes to develop a technical specification / design for manufacture of a novel robot sensor.
I focus on trying to imitate the learning mechanism of the larval Drosophila, which creates associations among odours and tastes. The goal is to create such a mechanism in neural level and put it on a robot platform. The robot will try to find the gustatory source following the gradients of the associated odour.
My main task was to implement a toolbox, using C# and the WPF subsystem, which could be used to analyse and compare human gestures, tracked using different capturing devices, i.e., Microsoft Kinect, Vicon, WIMUs. I also implemented an extension of it, which was compatible with Unity3D.
I have been tutoring, demonstrating and marking for a variety of courses including:
Introductory Applied Machine Learning: tutor, demonstrator, marker
Instructors: Dr Amos Storkey & Prof Chris Williams
Reinforcement Learning: tutor
Instructors: Dr Pavlos Andreadis & Dr Stefano Albrecht
System Desighn Project: Machine Vision and Quantitative Analysis expert
Instructors: Dr Steve Tonneau, James Garforth & Prof Barbara Webb
Heterogeneous Parallel Programming: I was responsible for answering students' questions regarding the course material and assignments
Instructor: Prof Wen-mei W. Hwu