Manolis Mylonas Email & Phone Number

Thessaloniki Metropolitan Area

Research in Deep Learning methods for multimodal video summarisation.

Brussels Metropolitan Area

Member of the Vehicle Quality Group in the Vehicle Performance Engineering Department.

Focused on projects involving time series classification and anomaly detection, Tasks included:- Designing and implementing machine and deep learning models, such as Random Forests and Variational Autoencoders.- Using Python and libraries such as pandas, scikit-learn and tensorflow on a daily basis.- Emphasising on the development of clean and reproducible code.- Regularly delivering presentations and producing reports of the work.

Thessaloniki Metropolitan Area

Participated in the "System Reliability" course by Prof. Alkis Hatzopoulos, by presenting lectures on product assurance and aerospace engineering, and authoring class assignments.

Member of the Communications Subsystem of the AcubeSAT project. - Designed the communications system of the satellite and the Ground Station- Worked on the Error Correction Codes of the system, using Python, Julia, and C++- Modelled topics such as space channels, and system synchronisation, using Python- Developed part of the on-board software using C++- Delivered training to new members

Member of the Attitude Determination and Control System (ADCS) of the open-source 3U nanosatellite AcubeSAT. - Designed tools such as the Kalman Filter and Wahba's Algorithm - Worked on sensors modeling- Contributed to the system simulations using MATLAB- Contributed to the Critical Design Review Document- Developed part of the on-board software of the system using C++

Master Of Engineering - Meng, Electrical, Electronic And Communications Engineering Technology/Technician, 8.71/10

Thesis Title: Consensus-based Graph Transformation Description: Proposed a novel approach to representing a signal as a weighted.

Master'S Degree, Telecommunications Engineering

Study Abroad Semester. Participated in courses such as Speech and Language Processing with Deep Learning, Network Theory and Quantum.