Manos Stergiadis

Manos Stergiadis

Amsterdam, Noord-Holland, Nederland
988 volgers Meer dan 500 connecties

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Info

I am a passionate data scientist, with a strong background in software engineering.
My…

Activiteit

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Ervaring

  • Booking.com grafisch

    Booking.com

    Amsterdam, North Holland, Netherlands

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    Amsterdam, North Holland, Netherlands

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    Amsterdam Area, Netherlands

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    Den Bosch, Netherlands

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    Greece

Opleiding

  • Technische Universiteit Eindhoven grafisch

    Eindhoven University of Technology

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    My degree comprises of intergrated 1st and 2nd cycle studies. The undergraduate part provided basic courses on programming, mathematics and engineering while my graduate coursework is based on computer science and machine learning. I graduated with a high grade (8/10) ranking within the top 11% of students.

Licenties en certificaten

Ervaring als vrijwilliger

  • Coursera grafisch

    Course Beta tester

    Coursera

    - heden 10 jaar 1 maand

    Opleiding

    My role as a coursera beta tester is to check prospective new courses in my domain (computer science - data science) from various universities. This way I help make sure that the content is of high quality and bug free in order to ensure an optimal learning experience for the rest of the learners.

Publicaties

  • A Scalable Grid Computing Framework for Extensible Phylogenetic Profile Construction

    AIAI 2016: Artificial Intelligence Applications and Innovations

    Current research in Life Sciences without doubt has been established as a Big Data discipline. Beyond the expected domain-specific requirements, this perspective has put scalability as one of the most crucial aspects of any state-of-the-art bioinformatics framework. Sequence alignment and construction of phylogenetic profiles are common tasks evident in a wide range of life science analyses as, given an arbitrary big volume of genomes, they can provide useful insights on the functionality and…

    Current research in Life Sciences without doubt has been established as a Big Data discipline. Beyond the expected domain-specific requirements, this perspective has put scalability as one of the most crucial aspects of any state-of-the-art bioinformatics framework. Sequence alignment and construction of phylogenetic profiles are common tasks evident in a wide range of life science analyses as, given an arbitrary big volume of genomes, they can provide useful insights on the functionality and relationships of the involved entities. This process is often a computational bottleneck in existing solutions, due to its inherent complexity. Our proposed distributed framework manages to perform both tasks with significant speed-up by employing Grid Computing resources provided by EGI in an efficient and optimal manner. The overall workflow is both fully automated, thus making it user friendly, and fully detached from the end-users terminal, since all computations take place on Grid worker nodes.

    Andere auteurs
    Publicatie weergeven

Cursussen

  • Advanced data structures in Java - Coursera

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  • Big Data with Apache Spark and Python - Udemy

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  • Intro to Parallel Programming - Nvidia via Udacity

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  • Machine Learning - Standford via Coursera

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  • Programming Massively Parallel Processors - Illinois via Coursera

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Projecten

  • Grid Computing for Bioinformatics

    A scalable and modular Grid computing framework for Comparative Genomics, developed as part of my master Thesis.

    This project encompasses a large-scale data analysis tool, aiming towards similarity detection between protein sequences, employing the computational resources offered by EGI.

    Project weergeven

  • A simple, flexible and scalable 2D multi-robot simulator.

    Solved some bugs regarding visualization with the RVIZ module and implemented several design optimizations in the code base. I significantly reduced code duplication by introducting inheritance in the data sources hierarchy and secured the code against memory leaks by enforcing RAII in the XML parser.

    Project weergeven

  • Parallel (GPU) computing: Image recognition using Neural Networks

    This program presents a Neural Network capable of recognizing hand written digits. The goal is to create 2 version of a neural network, one that is trained serially (written in C++) and one that is trained using one or more GPGPUs (written in CUDA), then prove the accerelation that HPC offers.

    Andere bijdragers
    Project weergeven

Onderscheidingen

  • Xomnia Datathon on Security

    Xomnia - Your big data partner

    Xomnia, Ministry of Safety and Justice and the Politie sponsored a datathon with the purpose of creating a "safety monitor". This tool should be usable by the law enforcement to fight crime in the Netherlands. Our team (JADS) got the 2nd place award by designing a web application able to highlight locations on a real map, where crimes have a high probability to happen in the near future. We achieved that by combining historic spatial data about crimes, as well as external features such as…

    Xomnia, Ministry of Safety and Justice and the Politie sponsored a datathon with the purpose of creating a "safety monitor". This tool should be usable by the law enforcement to fight crime in the Netherlands. Our team (JADS) got the 2nd place award by designing a web application able to highlight locations on a real map, where crimes have a high probability to happen in the near future. We achieved that by combining historic spatial data about crimes, as well as external features such as demographics. or the weather forecast.

  • JADS Data Challenge Week 2nd place

    Jheronimus Academy of Data Science

    My team won the 2nd place award by providing useful insights into a previously unexplored dataset provided by Heijmans.

Talen

  • English

    Moedertaal of tweetalig

  • German

    Beperkte werkvaardigheid

  • Greek

    Moedertaal of tweetalig

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