Caulfield Sch of Info Technology

    Research areas

  • Collective Behaviour and Collective Decision Making, Simulation and Modelling, Intelligent Systems, Natural Computing, Nature Inspired Algorithms, Optimisation and Constraint Solving, Biomimicry in Computing

Biography

Bernd Meyer is a Professor in the Faculty of Information Technology at Monash University.

Research interests

  • Self-Organized Systems and Natural Computation
  • Collective Behaviour and Collective Decision Making
  • Optimization in Nature
  • Nature-inspired Algorithms (specifically Meta-Heuristics for Stochastic Optimization)

Supervision interests

  • collective behaviour and decision making
  • natural computation

Monash teaching commitment

Professor Bernd Meyer has experience as the Chief Examiner for the following units in the Faculty of IT:

  • FIT1042 Algorithms, computation and intelligence
  • FIT9059 Algorithms and data structures
  • MON1002 The changing face of science: how computational science helps us make sense of the world
  • FIT2004 Data Structures and Algorithms

Bernd has experience as the Lecturer for the following units in the Faculty of IT:

  • FIT1042 Algorithms, computation and intelligence
  • FIT9059 Algorithms and data structures
  • FIT4012 Advanced Topics in Computational Science
  • MON1002 The changing face of science: how computational science helps us make sense of the world
  • FIT2004 Data Structures and Algorithms
  • FIT3082 (Programming languages and paradigms)

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