Vojta Kopal

Vojta Kopal

Prague, Czechia
3K followers 500+ connections

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About

As a data and engineering leader with experience in managing both software engineering…

Activity

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Experience

  • Česká spořitelna Graphic

    Česká spořitelna

    Prague, Czechia

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    Prague, Czechia

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    Prague, Czechia

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    Prague / Manchester

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    Prague / Manchester

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    Prague, The Capital, Czech Republic

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    Prague

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    Praha

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    Prague

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    Praha

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    District Liberec, Czech Republic

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Education

  • Charles University Graphic

    Charles University in Prague, Faculty of Mathematics and Physics

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    Using Gaussian Processes as a surrogate model in evolution strategies for continuous optimisation.
    Distributed computations in Matlab using Torque clusters.
    Comprehensible rules extraction from accurate regression methods.

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    Strategy Execution is an 8-week, 45-hour online certificate program from Harvard Business School. Strategy Execution equips current and aspiring managers with the tools, skills, and frameworks to allocate resources, measure performance, manage risk, and successfully implement strategy.

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    Organizational Leadership is a 7-week, 40-hour online certificate program from Harvard Business School. Organizational Leadership equips experienced team leaders with the skills, strategies, and tools to set and communicate direction, influence through other managers, generate organizational alignment, drive innovation, and engineer change. The program was developed by leading Harvard Business School faculty and is delivered in an active learning environment based on the HBS signature…

    Organizational Leadership is a 7-week, 40-hour online certificate program from Harvard Business School. Organizational Leadership equips experienced team leaders with the skills, strategies, and tools to set and communicate direction, influence through other managers, generate organizational alignment, drive innovation, and engineer change. The program was developed by leading Harvard Business School faculty and is delivered in an active learning environment based on the HBS signature case-based learning model.

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    The master thesis "Modern regression methods in data mining" compared several non-linear regression methods on synthetic data sets generated using standard benchmarks for a continuous black-box optimization. The results have been turned into a paper "Comparing Non-linear Regression Methods on Black-box Optimization Benchmark" (see below).

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    As an exchange student I've took following courses: Intelligent Agent, Probabilistic Reasoning and Evolutionary Computing. I've also worked on an experimental research project focused on classifying time series.

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    Activities and Societies: Charles University Student Union, Academic Senate at Faculty of Mathematics and Physics

    Mostly I've focused on artificial intelligence and as my Bc thesis I've created a multi-agent simulation which compared different implementation of agent's memory and measured the lifespan of the population.

Licenses & Certifications

Volunteer Experience

  • Student Union Charles University in Prague Graphic

    PR Manager

    Student Union Charles University in Prague

    - 1 year 6 months

    Education

    In early years of Student Union my task was to rise the awareness of this student institution:
    - introduce the student union to students,
    - promote our events for freshmen,
    - prepare print materials,
    - complete redesign of the website as a center point for students at Charles University,
    - cooperate with University officials.

Publications

  • Comparing Non-linear Regression Methods on Black-box Optimization Benchmark

    ITAT 2015 conference proceedings / CreateSpace Independent Publishing Platform

    The paper compares several non-linear regression methods on synthetic data sets generated using standard benchmarks for continuous black-box optimization. For that comparison, we have chosen regression methods that have been used as surrogate models in such optimization: radial basis function networks, Gaussian processes, and random forests. Because the purpose of black-box optimization is frequently some kind of design of experiments, and because a role similar to surrogate models is in the…

    The paper compares several non-linear regression methods on synthetic data sets generated using standard benchmarks for continuous black-box optimization. For that comparison, we have chosen regression methods that have been used as surrogate models in such optimization: radial basis function networks, Gaussian processes, and random forests. Because the purpose of black-box optimization is frequently some kind of design of experiments, and because a role similar to surrogate models is in the traditional design of experiments played by response surface models, we also include standard response surface models, i.e., polynomial regression. The methods are evaluated based on their mean-squared error and on the Kendall’s rank correlation coefficient between the ordering of function values according to the model and according to the function used to generate the data.

    See publication

  • Komunikace a paměť pro plausibilní agenty

    Kognice a umělý život XII. Praha 2011

    To, že skupina komunikujících a spolupracujících agentů může dosáhnout lepších výsledků, než nezávislí agenti, je jedna ze základních myšlenek teorie multiagentních systémů. Výměna informací mezi agenty může přispět k rychlejšímu prozkoumávání prostředí a zároveň kompenzovat omezené znalosti a schopnosti jednotlivých agentů. V této práci zkoumáme vztah mezi komunikací a prostorovou pamětí situovaných agentů a vliv paměti a komunikace na schopnost agentů přežít v simulovaném prostředí…

    To, že skupina komunikujících a spolupracujících agentů může dosáhnout lepších výsledků, než nezávislí agenti, je jedna ze základních myšlenek teorie multiagentních systémů. Výměna informací mezi agenty může přispět k rychlejšímu prozkoumávání prostředí a zároveň kompenzovat omezené znalosti a schopnosti jednotlivých agentů. V této práci zkoumáme vztah mezi komunikací a prostorovou pamětí situovaných agentů a vliv paměti a komunikace na schopnost agentů přežít v simulovaném prostředí. Ukazujeme, že komunikace může významně zvýšit životaschopnost agentů a kompenzovat omezené vnímání a kapacitu paměti agentů.

    Other authors
    See publication

Courses

  • Applications of Neural Networks Theory

    NAIL013

  • Artificial Intelligence

    NAIL070

  • Data Mining

    NDBI023

  • Machine Learning

    NAIL029

  • Methods of Mathematical Statistics

    NMAI061

  • Neural Networks

    NAIL002

Projects

  • Druidly

    Web-to-mobile app converter

    Other creators
    See project

  • Beepcube

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    beepcube is a nifty small box which connects virtual worlds with the real one. Your event's visitors are given chips (RFID cards or bracelets) and you deploy the box in a desired location. Then we teach it to add discounts, count the attendees, let them enter attractions, post messages to Facebook or anything else that comes to your mind.

    Other creators

  • Infinitum Game

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    INFINITUM is an online massive mutiplayer strategy game, which allows you to rule a city in Czech Republic (more countries are coming) which have fallen into disarray after a war. You can choose only real cities on a real map so choose a city which is close to your heart.

    Other creators
    See project

  • Fotogalerie.cz

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    The online photogallery.

    Other creators
    See project

Languages

  • English

    Professional working proficiency

  • Czech

    Native or bilingual proficiency

  • German

    Elementary proficiency

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