Calculated based on number of publications stored in Pure and citations from Scopus
20022024

Research activity per year

Personal profile

Personal profile

Dr Ivan Maksymov is a polymath scientist educated at Kharkov physics school founded by the Nobel prize laureate Lev Landau and at the leading optics and photonics research centre in Tarragona, Spain. Ivan was an Australian Research Council Future Fellow from 2018 to 2022 and now he is an Associate Professor at the AI and Cyber Futures Institute, where he conducts both theoretical and experimental research on physical foundations of AI. He made significant contributions in the fields of electron devices, plasma physics, optics and nanophotonics, nanomagnetism, acoustics, fluid mechanics, biophysics and brain-computer interfaces. His famous experiment involving living sedated earthworms vibrated on a subwoofer in his backyard in Seymour, VIC earned him global popularity after the award of the IgNobel prize in 2020. As a former national level cyclist and basketball player, in his free time he rides a road bike and plays tennis. He also learns playing euphonium and enjoys eating very hot chilli peppers. He is a dual citizen of Australia and Ukraine.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 4 - Quality Education
  • SDG 8 - Decent Work and Economic Growth
  • SDG 9 - Industry, Innovation, and Infrastructure

Education/Academic qualification

Physics and mathematics, PhD, NURE University

Award Date: 07 Jun 2008

Electronic Engineering, PhD, Universitat Rovira i Virgili

Award Date: 16 Nov 2006

Subject keywords

  • fluid mechanics
  • nanophotonics
  • nanomagnetism
  • hydrogen gas sensing
  • nonlinear acoustics
  • nonlinear optics
  • solitary waves
  • plasmonics
  • biophysics
  • Faraday waves
  • computational physics
  • reservoir computing
  • machine learning

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