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Centre for Dependable Computing Systems

The research in the Centre for Dependable Computing Systems covers a wide range of topics in the areas of design, reliability, security, verification and testing of nanoelectronic systems (including multi-/many-core systems). The centre is the initiator of several pan-European actions. The centre coordinates the Horizon2020 Marie Skłodowska Curie ITN RESCUE project and is a partner in the national ICT centre of research excellence EXCITE.

Head of the center: prof.  Jaan Raik

Core competences:

  • Study of aging and rejuvenation in nanometer technologies (cooperation with TU Delft, Politecnico di Torino and PUCRS, Brazil)
  • Hardware security (cooperation: Airbus, Frankfurt UAS, TU Delft, Intrinsic-ID, Riscure)
  • Cross-layer resilience (cooperation: Testonica Lab OÜ)
  • Assertion mining (cooperation: EPFL/Lausanne, TU Hamburg, DLR, University of California Irvine)
  • Diagnostic test generation and microprocessor testing (cooperation: Politecnico di Torino)
  • Multi-aspect verification of computing systems (cooperation: iROC Technologies)
  • Optimisation of fault injection campaigns (cooperation: Cadence)

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Centre for Intelligent Systems

Centre for Intelligent Systems focuses on control systems, artificial neural networks, fractional-order modeling and control, and virtual reality. The research of the group focuses on development and implementation of novel efficient control techniques for Industry 4.0 applications based on the combination of classical industrial controllers with computational intelligence methods and knowledge based reasoning.

Head of the center: prof. Eduard Petlenkov

Core competences:

  • Modelling, control, and analysis of complex nonlinear dynamic systems
  • Computational Intelligence based algorithms: Artificial Neural Networks, Genetic Algorithms, Fuzzy Logic, etc.
  • Self-learning and adaptation methods in control systems
  • Fractional-order modelling and control
  • Distributed control systems
  • Modelling and analysis of complex power systems with high integration of renewable energy sources
  • Data analysis
  • Development of research software
  • Virtual and Augmented Reality applications

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Centre for Hardware Security

The Centre for Hardware Security conducts research in all applied aspects of hardware security: the aim is to validate security techniques in real silicon. The Centre's research on integrated circuit (IC) design, electronic design automation (EDA), and cryptographic hardware enables trustworthy IC-based systems to be built. Threats such as hardware Trojans, reverse engineering, circuit (de)obfuscation, IP piracy, IC overbuilding, side-channel attacks, etc., are addressed through an array of technical countermeasures. The centre was established in late 2019. 

Head of the centre: prof. Samuel Nascimento Pagliarini

Core competences:

  • Design of Application Specific Integrated Circuits
  • Circuit obfuscation by design partitioning (Split-Chip and Split-Fab)
  • Trustworthy electronic design automation tooling (from RTL to layout)
  • Countermeasures to reverse engineering, side channel attacks, and piracy
  • Crypto hardware

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Centre for Biorobotics

The Centre for Biorobotics focuses on underwater technologies, more specifically on underwater robotics inspired by biological principles, underwater sensing and underwater sensor networks. 

Head of the center: prof. Maarja Kruusmaa

Core competences:

  • Underwater robotics
  • Robot locomotion in fluid environment
  • Underwater sensing
  • Experimental fluid mechanics
  • Sensor networks for environmental monitoring

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Centre for Environmental Sensing and Intelligence

The Centre for Environmental Sensing and Intelligence is specialized in the development and deployment of rugged multi-modal sensors for measurement in extreme environments, data-driven modeling and eco- and ethohydraulics. In a world where decisions are made based on available information, it makes sense to improve the quality and reliability of environmental information.

Head of the center: prof.  Jeffrey A. Tuhtan

Core competences:

  • Underwater sensing in extreme environments including hydropower turbines, rivers, coastlines and glaciers
  • Real-time signal processing for rugged and reliable multi-modal autonomous sensors
  • Data-driven modeling and assimilation of outdoor sensor network data with numerical models
  • Eco- and ethohydraulic sensing and modelling, with a focus on fish and hydropower
  • Underwater multispectral cameras and automated vision methods for fish detection and tracking

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Centre for Trustworthy and Efficient Computing Hardware (TECH)

The Research Centre focuses on cross-layer reliability and self-health awareness technology for tomorrow's complex intelligent autonomous systems and IoT edge devices in Estonia and EU. The team studies advanced cyber-physical systems characterized by their heterogeneity and the emerging computing architectures employing AI-based autonomy. The centre generates knowledge to equip engineers with design-phase solutions and in-field instruments for industry-scale systems to facilitate system’s crashless operation.

Head of the centre: prof. Maksim Jenihhin

Core competences:

  • Hardware design
    • VHDL and Verilog designs
    • EDA tools (Cadence, Siemens, Synopsys platforms)
    • Application-specific computing platforms (Unmanned Aerial Vehicles)
  • FPGA-based solutions and methodologies
    • FPGA SoCs (Zynq, CycloneV)
    • EDA tools (Xilinx Vivado, Altera/Intel Quartus, Lattice Diamond)
  • Software and embedded SW development
    • Bare-metal applications, bootloaders, Linux drivers and Userspace applications
    • Petalinux, Yocto, FreeRTOS and embedded SDKs, ELDK
  • Cross-layer reliability and fault management
    • ML-based solutions
    • Functional Safety (ISO26262)
  • Test strategy development and troubleshooting instrumentation
    • JTAG/IJTAG based solutions (standards IEEE-1149.1, IEEE-1149.6, IEEE-1687)

Embedded AI Research Lab

The Embedded AI Research Lab focuses on developing machine learning solutions in the embedded systems. The laboratory collaborates internationally with research teams and companies from the maritime, medical, smart city, autonomous vehicles and industrial automation sectors.

Head of the lab: Mairo Leier

Core competences:

  • Embedded hardware design and prototyping
  • Real-time operating systems
  • Machine learning model optimization for embedded hardware
  • Communication solutions in embedded systems, sensory solutions

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