Evolvable Hardware Research Group

Inspired by nature we develop highly optimized hardware and software. EHW group members have a strong expertise and international reputation in bio-inspired methods and models (such as genetic and evolutionary computing, neurocomputing and cellular computing), digital circuit design, FPGA technology, and approximate computing. Applications of these methods include automated logic synthesis and optimization, adaptive hardware, neural architecture search, and automated design and optimizations for image processing, security applications, road traffic systems and computer circuits.

Research interests

  • bio-inspired hardware and software
  • approximate computing
  • neural architecture search
  • evolutionary logic synthesis and optimization
  • evolvable hardware in FPGAs, neurocomputers
  • cellular automata and their applications
  • applications of evolutionary algorithms in computer engineering

Current research topics

Evolutionary design, optimization and approximation of digital circuits, neural architecture search, hardware accelerators for neural networks, evolvable hardware in FPGAs, evolution of cellular automata, genetic programming. 

Significant results

  • Best Student Paper Award - DDECS 2022 (J. Klhůfek, V. Mrázek)
  • Best Paper Award - DDECS 2021 (Z. Vašíček)
  • Czech head - Doctorandus of Technical Science (V. Mrázek, 2019)
  • Czech Science Foundation President Award 2017 for excellent results of the Advanced Methods for Evolutionary Design of Complex Digital Circuits project (press info, youtube video)
  • 1 Gold, 3 Silver and 1 Bronze medals from the Humies competitions annually organized at GECCO conference series.
  • Best paper/presentation awards on international conferences: DDECS 2022 (student), DDECS 2021, DATE 2017, ECTA 2016, EuroGP 2015, AHS 2013, FC 2009, MEMICS 2009, EvoHOT 2005, ICES 2003, DDECS 2002.
  • Joseph Fourier Prize for research in computer science (1st place, Z. Vašíček, 2011)
  • The Prize of Antonín Svoboda for the Best Dissertation Thesis of 2018 (V. Mrázek)
  • Czech patent no. 304181 (2013) - image filter that was automatically designed by evolutionary algorithm



Lukáš Sekanina, sekanina@fit.vutbr.cz
Web presentation: https://ehw.fit.vutbr.cz/

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