Organising Institutions

Eötvös Loránd University Budapest

The predecessor of Eötvös Loránd University (ELTE) was founded in the rural town of Nagyszombat (today: Trnava, Slovakia) in 1635 by Cardinal Péter Pázmány, as a catholic university for teaching Theology and Philosophy. In 1770-1780, the University was transferred to Buda and later to Pest, and with the support of Maria Theresa, the Empress of Austria and Queen of Hungary, became the Royal Hungarian University.

In the second half of the 19th century, the University developed into a centre of modern higher education in today’s sense, covering nearly every scholarly field.

In 1950 the university was reorganized and adopted its present name. It was named after one of its professors, the world-famous physicist, Loránd Eötvös. Recently, a new campus has been built on the scenic banks of the Danube. This campus, Lágymányos Campus is now home to three faculties: Faculty of Informatics, Faculty of Science, and Faculty of Social Sciences.

Currently, the university has eight  faculties: Education and Psychology , Humanities, Informatics, Law, , Primary and Pre-School Education, Science, Social Sciences, and the Bárczi Gusztáv Faculty of Special Education.

Eötvös Loránd University is internationally recognized and its programs are accredited by the Hungarian Accreditation Board. The diplomas issued by Eötvös Loránd University are acknowledged worldwide, and its course credits are transferable in all countries in the European Union.

Over the last hundred years, Eötvös Loránd University (ELTE) has had many world famous scientists and four Nobel Prize laureates among its teachers and alumni. The current number of students enrolled yearly has reached 28,000, and there is an academic staff of 1,800 highly-qualified teachers and researchers

Read more about the history of the university.

ELUB Faculty of Informatics

This is the youngest faculty (2003) of the oldest Hungarian university (1635). Almost 3000 students decided to study computer science here. Usually, we have four times more student applications than available places. The high standard of training is guaranteed by the highly qualified academic staff. The teaching is supported by modern infrastructure and well equipped computer labs (artificial intelligence, databases and robotics). The library of the Faculty contains several thousand volumes. The students of higher years and PhD students help the first year students in a mentor system to come over their first challenges at the university.

In addition to the high level of theoretical training, our relationship with the business community, the joint research and development projects offer up-to-date practical knowledge and experience to the students. After completing any of the programmes, students may easily find employment at companies or institutions that deal with computer science development, map making, services or innovation (e.g., building integrated data processing systems for large companies and banks; managing electronic trade and electronic money transfer; solving telecommunication problems; programming networks and mobile phones; image recognition; computer assisted designing; image processing; preparing multimedia applications; computer graphics, animation and games).

The high scientific standard of PhD training is guaranteed by members of the Hungarian Academy of Sciences and Doctors of the Hungarian Academy of Sciences as well as many PhD holders taking part in the programmes as lecturers. Several internationally acknowledged scientist and experts participate in the work of the PhD School as lecturers of courses and seminars.


The MTA SZTAKI is a research institute, governed by the Hungarian Academy of Sciences. Upon the charge by the Secretary-general of the Academy, the supervision of the scientific activity pursued at the Institute is provided by the Board of the Institute.

MTA SZTAKI is the acronym of the Hungarian name of the institute, while its full English name is “Institute for Computer Science and Control, Hungarian Academy of Sciences”.

The Institute was founded in 1964. Its staff consists of more than 300 full-time employees,more than 200 with university diploma and more than 70 with scientific degrees.

The fundamental task of the Institute is to perform basic and application-oriented research in an interdisciplinary setting in the fields of computer science, engineering, information technology, intelligent systems, process control, wide-area networking and multimedia. Contract-based target research, development, training and expert support for domestic and foreign industrial, governmental and other partners are important activities at the Institute.

The Institute has wide external relationships in its R&Dprofile. ERCIM (European Research Consortium of Informatics and Mathematics) granted full membership to the Institute in 1994. The Institute is a member of the (World Wide Web) W3 Consortium led by the Massachusetts Institute of Technology (MIT) and of other international organizations.Our Institute won the title of “Centre of Excellence” of the EU, and the number of EU projects is also impressing.

The main fields of applied research and development:
Basic research – main domains: Computer Science, Systems- and control theory, Engineering and business intelligence, Machine perception and human-computer interaction
R&D Activities: Vehicles and transportation systems, Production informatics and logistics, Energy and sustainable development, Security and surveillance, Networks, networking systems and services, distributed computing

Informatics Laboratory

Society has reached a point of no return, one that leaves us completely reliant on omnipresent ICT-mediated communication. Mobile and sensor-rich portable devices connect millions of humans with Petabytes of data and numerous on-line services. However, tearing down the physical-digital barrier in a scalable fashion requires both radically novel algorithmic knowledge and in-depth understanding of humans and societies. We will deliver major theoretical advances in real-time intelligent information management of large datasets including online social networks, mobile devices and humans in physical space by delivering three functions: “alert”, by real-time location-aware knowledge acquisition, analysis and visualization; “response”, through on-demand composition and coordination of large teams; and effective “communication”, through recommendation and personalization.

“Big Data” is an emerging new research area for the methodologies of extreme large scale problems in business intelligence, e-science and Web mining. We concentrate on applications for social network mining, graph clustering, personalized and similarity search, recommendation and spam filtering, as well as security problems ranging from financial risk analysis or insurance fraud to people trafficking or organized crime.

We plan to conduct research ranging from theory to experimentation by building on the unique nature of our research lab. We cover the full chain from core research to industrial deployment, including unique access to data ranging from telecommunication logs to large scale Web crawls. As a particular strength in our previous results, we design algorithms that handle the explosive growth in data sizes and impose no artificial size limits for real-world applications. The highlights of our proposed research with both novel areas as well as related fields where we have the strongest existing results are listed next.

Research areas: Theory of algorithms, Complexity, Computer science, Data Mining, Search technologies, Visual Analytics, Big data, Business Intelligence