Markus Schatten

Faculty of Organization and Informatics

PhD, Information and Communication Sciences

January 1, 2010 – January 1, 2010

University of Zagreb / Sveučilište u Zagrebu

MSc, information systems, knowledge management, modern organizations

January 1, 2000 – January 1, 2007

Faculty of Organization and Informatics

Associate Professor

May 1, 2017 – Present

Faculty of Organization and Informatics

Head of Artificial Intelligence Laboratory

April 1, 2013 – Present

Faculty for Information Studies, Novo Mesto

Assistant professor

January 1, 2012 – January 1, 2012

Faculty of Organization and Informatics

Assistant professor

September 1, 2011 – May 1, 2017

IP e-Discovery

Lecturer

January 1, 2011 – January 1, 2012

Faculty of Organization and Informatics

Lecturer

September 1, 2006 – September 1, 2011

Development of an open ontology for biometrics science

June 1, 2015 – Present

Development of a biometrics as science is no longer subject to sporadic dealing with a handful of scientists, but is increasingly becoming an interdisciplinary science. This is backed by a large number of scientific journals and books published both in and in the Republic of Croatia. However, there are elements that are not represented enough in addressing the They include standardization so far discovered knowledge on biometrics, biometric characteristics, systems and sensors. The modern approach to standardization of knowledge is the creation of ontology - formal presentation domains, concepts, individuals and relations. In previous studies, are formally described basic biometric concepts such as biometric systems, biometric models, biometric, biometric characteristics, biometric samples, biometric structure or characteristics, biometric (culled) structure or template, biometric sensors. Now it will be developed biometric database that will bititemelj for testing and further research in the field of biometrics istandardizacije biometric products and services.

Croatian textual analyzer

March 1, 2015 – Present

Web based tool for analysis of documents/content written in croatian.

ModelMMORPG - Large-Scale Multi-Agent Modeling of Massively On-Line Role-Playing Games

October 1, 2014 – Present

Massively multi-player on-line role playing games (MMORPGs) give us the opportunity to study two important aspects of computing: (1) large-scale virtual social interaction of people (players) and (2) the design, development and coordination of large-scale distributed artificial inteligence (AI). A common denominator for both aspects are the methods used to study them: social interaction can be descibed and simulated using agent-based models (ABM social science perspective) whilst distributed AI is commonly modelled in terms of multi-agent systems (MAS computer science perspective). The important question to ask in both perspectives is how do agents organize in order to perform their tasks and reach their objectives? Herein we will employ a combined empirical and theoretical approach towards finding the answer to this question. From the empirical side, we shall study the human behaviour on a number of venues across various gaming servers in order to find most suitable structures, cultures, processes, strategies and dynamics employed by most successful player communities. From the theoretical side, we shall test a multitude of organizational architectures from organization theory in various MMORPG settings, and compare them with methods found in empirical research. Our research is therefore aimed towards enriching the organizational design methods for the development of MMORPG to foster the development of self-organizing and adaptable networks of large-scale multi-agent systems. With this in mind, our main goals are: 1) To identify and formalize adequate organizational design methods for developing LSMAS in MMORPGs. 2) To couple them with real-life and future scenarios from industry. 3) To provide open and accessible tools, which will allow for design, development, implementation, control, simulation and maintenance of LSMAS in MMORPG. Supported fully by the Croatian Science Foundation (project number 8537).

UAVTraffic - Multi-agent based Traffic Control of Autonomous Unmanned Aerial Vehicles

August 1, 2014 – Present

The research in UAVTraffic is aimed towards making a first step in developing basic traffic rules for (autonomous) UAVs by using simulation models and small scale field studies. In accordance with this objective, UAVTraffic will make good use of advanced semantic Web technologies (especially of the ontology of cooperative intelligent transport systems developed at the University of Zagreb), multi-agent system methodology (especially proactive agents, automated planning and negotiation algorithms), technologies for machine vision (especially spatial object recognition), the Internet of Things or more specifically the Internet of Vehicles (a network of various devices like smart phones, watches, goggles, cars but also UAVs and other things that will allow for traffic control).

Organizational Design of Multi-agent Systems for the Internet of Things

October 1, 2013 – Present

The research is aimed towards the development and formalization of organizational design methods for multi-agent systems in the Internet of Things. The team will develop a semantic wiki about organizational design methods, as well as a formal ontology to foster further development of software engineering techniques for agent organizations. Supported by the University of Zagreb.