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Vasileios S.
Dimakopoulos !

Electrical & Computer Engineer
Biomedical Signal Processing
Technical University of Crete

Mobirise

About Me

" The best preparation for tomorrow is doing your best for today". The aforementioned quote represents Vasileios' motivations and future goals. As senior student in Electrical Engineering he aims through Biomedical Field to harvest the seeds that is planting today. Specifically, he likes contributing in research area and in humanity.

The present and the near future


 Vasileios currently is an Electrical & Computer Engineer and he is going to work at CERN as technical student in Big Data Technologies aspects. He successfully completed a  research project for source reconstruction using combined EEG/MEG Data for Presurgical Epilepsy Diagnosis. Also he pursued an internship at CERN during summer 2018 as Intel Openlab fellow in Performance and Scalability Tests using Spark, Kubernetes - Openstack & Hadoop.  Furthermore he worked at Institute of BioMagnetism & BioSignanalysis in University of Muenster, Germany as Researcher for Computational Neuroscience and Epilepsy.

The future goals

It is worth mentioned that he would leverage the chance if he is suggested in a position of Biomedical Engineer, Image & Signal Processing Engineer, BioInformatics Engineer, Data Scientist & Machine Learning Engineer as well. Additionally, he would be pleased to be accepted as a PhD candidate for research in Neuroscience.

Education

Electrical & Computer Engineering

Technical University of Crete


Overall GPA:  8.17/10 


Thesis Title: Characterization of Epileptic Activity based on Integrated Functional Network from
MEG Data on a realistic Head Model

Abstract: In this research work combined EEG/MEG Data are being processed in order to extract information about epileptic foci. Epilepsy is characterized by spikes and these are indicators of activity in certain brain region. By applying sophisticated pipeline & algorithms it aims in exact localization of  epileptic sources in a non invasive way and in characterizing the interaction between them thus helping in presurgical epileptic diagnosis.

High School Degree

Pierre De Coubertin High School of Pirgos, Greece

Overall GPA: 19.1/20 (With Honors)

Work Experience

October 2018 - December 2018

Researcher


Institute of BioMagnetism & BioSignanalysis, University of Muenster

During this job topics such as source localization and applications of network science and machine learning on computational neuroscience are being investigated

June 2018 - August 2018

Data Engineer

CERN Openlab Internship

Intel Fellow

Performance & Scalability Tests over physics data using Spark and either Hadoop Yarn or Kubernetes and Openstack. This project aims in reducing processing time of 1 PetaByte Data to few hours

February 2017 - January 2018

IT - Network Engineer

Technical University of Crete

During this work the main issues resolved were:
▪ Shell Scripting
▪ Domain Authentication Customization using Kerberos
▪ Server Architecture for Printing Services
▪ NoMachine FreeNX Remote Virtual Environment Desktop Customization
▪ Group Policies and User Profiles Customization and Optimization.

July 2016 - August 2016

Business Intelligence Junior Engineer

IBM Hellas

The main tasks on the data warehouse project I was assigned to, were:
▪ Development of mappings
▪ Load Plans
▪ Load Scenarios 

Honours, Fellowships & Awards

Intel Fellowship

Cern Openlab internship fully funded by Intel.

IEEE/NSF Fellow 

Received IEEE/NSF Fellowship for participating in 16th IEEE International Summer School on Bio-X.

John Latsis
Scholarship

During studies received scholarship for excellent annual performance

IEEE Award


Award for Outstanding Contribution in IEEE IST conference

Mobirise

Academic Projects & Skills

Matlab

C

Java    

75%

SQL

75%

VHDL

100%

C#

Unity 3D Bowling Game

Development of a realistic 3D Bowling game with Unity by creating Graphics, Physics, Scripting, Audio & UI.

Sudoku Solver using
Machine Vision

Extraction of Sudoku grid by a smarthphone photo and mapping of the solution on the initial image.

Database for an airline

Using PostgreSQL functionalities and relations between various entities was implemented.

Design of a pipelined processor

Using VHDL a CPU with all of its components was implemented (such as ALU, Memory, Stall, Forward and Control Modules).

Biomedical Signal Processing

%

Machine & Deep Learning

%

Data Warehousing

%

Shell Scripting

%

Contact Form

Don't hesitate to contact                          

Phone: +(30) 6982693915 
Email: vdimakopoulos@isc.tuc.gr

© Copyright 2018  Vasileios S. Dimakopoulos - All Rights Reserved