Jurgo Preden

Jurgo Preden

Tallinn, Harjumaa, Estonia
4K followers 500+ connections

About

Reducing resource consumption and improving our society with cutting edge technology from…

Activity

Join now to see all activity

Experience

  • Tiensu AI / ThinFacility

    Tallinn, Estonia

  • -

    Sunnyvale, Ca; Tallinn, Estonia

  • -

    Tallinn, Estonia

  • -

    Tallinn, Harjumaa, Estonia

  • -

    Estonia

  • -

  • -

  • -

  • -

    Buffalo, New York, United States

  • -

  • -

    Redmond, USA

  • -

    Salutaguse, Estonia

  • -

    Tallinn, Estonia

  • -

    San Jose, Ca

Education

  • Tallinn University of Technology

    -

    "Enhancing Situation-Awareness, Cognition and Reasoning of Ad-Hoc Network Agents"

    I suggested that explicit introduction of the concept of situation awareness will help to describe and analyse the interactions and the behaviour of Cyber-Physical Systems. The situation awareness concept allows the system’s components and the system as a whole to maintain a coherent view of the world. I also proposed that the situational information should be associated with validity information, for…

    "Enhancing Situation-Awareness, Cognition and Reasoning of Ad-Hoc Network Agents"

    I suggested that explicit introduction of the concept of situation awareness will help to describe and analyse the interactions and the behaviour of Cyber-Physical Systems. The situation awareness concept allows the system’s components and the system as a whole to maintain a coherent view of the world. I also proposed that the situational information should be associated with validity information, for example in what area and for what period of time the situational information is valid.

  • -

Volunteer Experience

  • Safe motorcycle riding instructor

    Estonian Touring Motorcycle Club

    - Present 21 years 11 months

    Education

    I am one of the instructors of MotoSurvival, teaching motorcycle riders how to survive in the daily traffic, making motorcycle riding safer and more fun.

Publications

  • Solving Big Data​: Distributing Computation Among Smart Devices

    Databases and Information Systems VIII: Selected Papers from the Eleventh International Baltic Conference, DB&IS 2014 (IOS Press)

    Big data is one of the great challenges for the future Internet of Things applications. There is a vision to network millions of devices into a comprehensive network, however, currently there are no good solutions for doing this, neither are there feasible methods for exploiting the collected data. Collecting data to servers does not offer exploitation scenarios for the huge amounts of data that can be collected using the billions of sensing devices that may be deployed once the Internet of…

    Big data is one of the great challenges for the future Internet of Things applications. There is a vision to network millions of devices into a comprehensive network, however, currently there are no good solutions for doing this, neither are there feasible methods for exploiting the collected data. Collecting data to servers does not offer exploitation scenarios for the huge amounts of data that can be collected using the billions of sensing devices that may be deployed once the Internet of Things vision becomes a reality. Instead of collecting data to servers, the data could be processed by the devices collecting the data, utilizing the processing results right where they are created and used. Processing fewer data items autonomously in a large number of computing nodes results in much less complexity for a single computing node when compared to a scenario where all data is collected for processing to one capable computing node. However, in case of a distributed scenario the complexity is increased in some other areas such as communication and data validation as we can't assume a synchronous system with a fixed architecture and well defined data paths. The current paper presents an architecture based on the proactive middleware ProWare and some application examples that enable the construction of systems where the computation is distributed among individual computing nodes, thus alleviating the big data problem.

    Other authors
  • Simulating System of Systems Using MACE

    Processings of UKSim 15th International Conference on Mathematical/Analytical Modelling and Computer Simulation (IEEE)

    The advancement of complex System of Systems (SoS) presents many challenges in system design and development for which we are still lacking good solutions. We have developed a proactive middleware implemented in mediators as a solution for managing complexity of SoS engineering. So far, the tool support for developing this technology has been lacking. The paper presents the MACE simulation framework, consisting of a simulator application and a binding mechanism for agent and mediator code for…

    The advancement of complex System of Systems (SoS) presents many challenges in system design and development for which we are still lacking good solutions. We have developed a proactive middleware implemented in mediators as a solution for managing complexity of SoS engineering. So far, the tool support for developing this technology has been lacking. The paper presents the MACE simulation framework, consisting of a simulator application and a binding mechanism for agent and mediator code for simulating complex SoS that make use of a proactive middleware. We demonstrate the ability of MACE to handle multi-agent communication simulation within the new paradigm with a compelling test case.

  • Simulating System of Systems Using MACE

    Processings of UKSim 15th International Conference on Mathematical/Analytical Modelling and Computer Simulation (IEEE)

    The advancement of complex System of Systems (SoS) presents many challenges in system design and development for which we are still lacking good solutions. We have developed a proactive middleware implemented in mediators as a solution for managing complexity of SoS engineering. So far, the tool support for developing this technology has been lacking. The paper presents the MACE simulation framework, consisting of a simulator application and a binding mechanism for agent and mediator code for…

    The advancement of complex System of Systems (SoS) presents many challenges in system design and development for which we are still lacking good solutions. We have developed a proactive middleware implemented in mediators as a solution for managing complexity of SoS engineering. So far, the tool support for developing this technology has been lacking. The paper presents the MACE simulation framework, consisting of a simulator application and a binding mechanism for agent and mediator code for simulating complex SoS that make use of a proactive middleware. We demonstrate the ability of MACE to handle multi-agent communication simulation within the new paradigm with a compelling test case.

Projects

  • ATHENA - JIP Force Protection

    -

    ATHENA (Asymmetric Threat Environment Analysis) was a project of the Joint Investment Programme on Force Protection, coordinated by EDA (European Defence Agency). ATHENA aims for creating vital models and scenarios to enable training and planning missions in an asymmetric urban environment.
    Asymmetric and urban military operations are considered a common appearance on future’s battlefields. Missions grow more and more complex for the military. An important effect is that, mission success…

    ATHENA (Asymmetric Threat Environment Analysis) was a project of the Joint Investment Programme on Force Protection, coordinated by EDA (European Defence Agency). ATHENA aims for creating vital models and scenarios to enable training and planning missions in an asymmetric urban environment.
    Asymmetric and urban military operations are considered a common appearance on future’s battlefields. Missions grow more and more complex for the military. An important effect is that, mission success will be dependent of more than minimising one’s own casualties and undertaking a body count alone: asymmetry brings out the factor of winning “Hearts and Minds” as decisive.
    The own forces can influence mission success by interacting on one side with (asymmetrical) opponents and on the other side with the local population and (inter)national stakeholders (e.g. Non Governmental organizations). The third influence is to overcome asymmetric opponents by influencing the “Hearts and Minds” of the population. Consequently, ATHENA’s mission is to improve or create asymmetric urban threat models and scenarios, where the impacts on “Hearts and Minds” would be among the main criteria of mission success.

    Other creators

Honors & Awards

  • Fulbright Visiting Scholar

    The Fulbright Program

  • Boriss Tamm Scholarship

    Tallinn University of Technology

  • Young Scientist Scholarship

    Estonian Academy of Sciences

Languages

  • Estonian

    Native or bilingual proficiency

  • English

    Full professional proficiency

  • German

    Limited working proficiency

  • Finnish

    Limited working proficiency

  • Russian

    Elementary proficiency

Organizations

  • IEEE

    member

    - Present

Recommendations received

More activity by Jurgo

View Jurgo’s full profile

  • See who you know in common
  • Get introduced
  • Contact Jurgo directly
Join to view full profile

Other similar profiles

Explore collaborative articles

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Explore More

Add new skills with these courses