Departments

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.

The main research challenge of our laboratory is to derive precise abstract information or decisions from large complex noisy topological data sets captured by one or multiple optical sensors. We apply special optical arrangements such as different holographic setups and fluorescent illuminations for microscopic imaging, or multi-spectral camera-based patient monitoring systems or wide-angle multi-camera systems in monitoring. The heavy computational load is handled by many-core processor arrays, such as GPUs in desktop applications or embedded low-power systems.

SZTAKI DSD performs research and development to create flexible business and service models, offering the most advanced knowledge technologies to radically improve the integrated IT background to enhance the collaboration among and within enterprises. We primarily aim at ensuring the IT background for platform-independent access, information- and content-sharing, -forwarding and -storage, together with defining collaborational and operational tasks, the forms of task execution and workflows.

The department of Network Security and Internet Technologies has a long history of development in the field of computer networking since the seventies. The first packet-switched public network was developed and introduced as a public service by the end of eighties by our Institution. Since 1990, the de-partment’s focus has been Internet technology and applications in Hungary and abroad. One of the most important results was the development of a high-speed nation-wide research network for the Hungarian research and education community. Our development activity also includes the area of authentication and authorization infrastructures, including cloud systems and the use of semantic annotations as a technology for developing novel applications.

The eLearning Department of MTA SZTAKI has become a key player of the domestic eLearning market in the last decade, especially in innovative web and mobile development and different expert areas. The versatile application of the experiences in the areas of education, mobile applications, multimedia and R&D made it possible to reach our results.

Besides deploying eLearning systems, we can create specific and generic training materials very efficiently based on the experience obtained in the course of our development projects. Our colleagues were involved in the development of several

The research laboratory's mission is conducting research on parallel and distributed systems in order to support the highly parallel and/or distributed execution of grand challenge applications processing very large data sets. We also aim to elaborate new methods and tools for closing the gap between the abstraction level of current parallel and distributed platforms (like supercomputers, clusters, clouds and quantum computers) and the grand challenge applications.

Our key concept is Artificial Space Intelligence, where the goal of the Machine Perception research laboratory is the interpretation and organization of information coming from distributed multimodal sensors. Sensors can be dynamic or static imaging devices or other multimedia sources. By spatio-temporal analysis of information we recognize and classify events. These events are e.g. unusual motion patterns, behavior change in time series, voice patterns. We place special emphasis on machine learning, data mining, human perception, multiple view geometry, multimodal sensor fusion, optimization methods and variational analysis in areas such as image and video processing, Remote Sensing, biometrical identification, 3D geometrical optics, Localization and Mapping, connections with sensor networks, Geographical Information Systems, and computer graphics.

The main research activities of the Laboratory center around cyber-physical production systems and are aimed at developing such models, methods and techniques that are capable of handling complex production and business systems working in an uncertain, changing environment. Seeking a balance between the aspects of optimization, autonomy and co-operation, this research necessitates an interdisciplinary approach with special emphasis on computer science, operation research, manufacturing science and technology, as well as artificial intelligence.

The Systems and Control Lab (SCL) is the leading research entity in the field of control and mathematical systems sciences in Hungary. The scope of research involves advanced methods of systems modeling and control, analysis and synthesis of dynamical systems created by traditional and emerging technologies. Systems identification, detection and filtering, signal and image processing are parts of the research with special emphasis on operational robustness, safety and security of the solutions.