Curriculum Vitae
Education
PhD Computational Neuroscience - Université de Lorraine, Nancy - 2014 / 2017
Project Title: Mathematical Modelling of Neural Oscillations in Hippocampal Memory Networks during Waking and under General Anaesthesia
MSc Computing (Artificial Intelligence) - Imperial College, London - 2011 / 2012
Dissertation Project: Stabilising Reverberating Persistent Activity in a Reentrant Memory Network: Feedback inhibition, Spike-Timing-Dependent Plasticity and detailed synapse modelling.
BEng Hons Computer Systems Engineering - Brunel University, London - 2007 / 2011
Dissertation Project: Relevance and Similarity of Short Text Snippets through the Projection on a Space of Concepts
Employment
Assistant Professor - University of Luxembourg, Luxembourg - Sep. 2020 / present
I teach courses, and supervise tutorials and laboratory sessions on various Computer Science and Engineering undergraduate and postgraduate subjects.
New Technologies R&D Project Manager - GCL Technologies, Luxembourg - Sep. 2018 / Dec. 2022
I led a team of five Research & Development Engineers.
I oversaw the design, development, and implementation of production machines employing intelligent and adaptable systems for vision, manipulation, handling, and processing of components.
My responsibilites included:
- Management of several high-value and high-priority projects with concurrent deadlines
- Budgeting, resource allocation, time management, progress tracking
- Identifying, successfully obtaining, and managing of governmental research funding (FNR, RDI, Bridges)
- Implementing robotic solutions for flexible automation – PLC’s, IPC’s, Robots, Flexible Feeding
- Developing and deploying intelligent computer vision systems
- Analysing industrial process data using artificial intelligence, machine learning, deep networks
- Devising machine learning models for predictive maintenance and failure detection
- Developing and deploying intelligent computer vision systems – image segmentation, object recognition and localisation, 6-D pose estimation
- Analysing industrial process data using artificial intelligence, machine learning, deep learning – pytorch, keras, tensorflow
- Devising models for predictive maintenance and failure detection
I taught courses, and supervise tutorials and laboratory sessions on various Computer Science and Engineering undergraduate and postgraduate subjects.
Research Assistant - INRIA, Nancy - Oct. 2014 / Dec. 2017
Laboratory: Loria Team: Neurosys
Project Title: Mathematical Modelling of Neural Oscillations in Hippocampal Memory Networks during Waking and under General Anaesthesia
Visiting PhD Student - Ruhr-Universität, Bochum - Oct. 2014 / Nov. 2014
Laboratory: Neural Dynamics Lab @ Ruhr-Universität Bochum
One month visiting Prof. Motoharu Yoshida’s Neural Dynamics Lab at the Ruhr-Universitat Bochum
Research Assistant - INRIA, Nancy - May 2014 / Sep. 2014
Laboratory: Loria Team: Neurosys
Project Title: Mathematical Modelling of ICAN-mediated Persistent Firing in Hippocampal Neurons, using Hodgkin-Huxley Spiking Neurons
Laboratory: iCub Facility
Project Title: Tactile Exploration for Object Recognition with the iCub Robot
Software Development Intern - MEGA International, Paris - Jun. 2009 / Jun. 2010
Project Title: Design and Developmet of a Report Builder Tool for MEGA’s Governance Risk and Compliance Suite
Honours and Awards
2018 - Associate Professor Qualification (Maître de Conférences) - Computer Engineering and Automation
2014 / 17 - CORDIS PhD Scholarship
