The Department of Measurement and Information Systems delivers dependable and intelligent services, devices, technologies and tools for Cyber-Physical Systems(CPS) to turn embedded systems into smart objects of everyday life by tightly combining computation, communication and signal processing approaches with physical processes of different nature (e.g., electrical, mechanical or biological) over a trustworthy Internet-of-Things. Our focus includes foundation research to provide core insights as well as applied research to innovatively exploit existing technologies and deliver business value in multiple application domains. Our research has translational potential so it can be used for cognitive and therapeutic services and diagnostics.

Brief description of R&D domains

  • Sensing and signal processing: intelligent medical image processing (X-ray image analysis), real-time signal processing (video and radar), biomedical sensing (blood pressure, motion-based monitoring),digital signal processing with acoustic applications (active noise control, digital sound synthesis), calibration (ADC testing);

  • Intelligence: machine learning, Big Data analysis (statistical exploratory and confirmatory), decision support systems, optimization and simulation, semantic knowledge representation & query processing, data and knowledge fusion (logic/systems/kernel-based);

  • Systems & software engineering concepts: model-based design, hardware-software co-design, verification & validation, testing, fault tolerance, deployment automation, runtime monitoring, certification, open source software projects

  • Computational technologies: Distributed computing over the Cloud, high-performance computation by reconfigurable FPGAs, dedicated technologies (DSP, real-time embedded operating systems), computational biomedicine;

  • Communication technologies: sensor networks, automotive & avionics communication protocols & architecture (AUTOSAR, ARINC653), protocols for smart devices & Internet;

  • Infrastructure technologies: Carrier-grade Cloud, Educational Cloud (Apache VCL), Virtualization, Microcontroller boards, Heterogeneous embedded computing (CPU, GPU, FPGA);

  • Application domains: ambient-assisted living, bioinformatics & biomedical, business intelligence and optimization, critical embedded systems (automotive, avionics, railway), IT systems infrastructure, telecommunications (infrastructure & software technology);

Selected projects (2010-2015)

  • EU (FP7): CECRIS, CONCERTO, E-Freight, MONDO, R3COP, R5COP, SecureChange;


  • Industrial projects with: Budapest Bank, Embraer, Ericsson, EvoPro, Innomed, IBM DSS, IBM Research Triangle Park, Morgan Stanley, Nokia-Siemens, National Instruments, Prolan, Xilinx;