Profile image for Nadezda Sukhorukova

Dr Nadezda Sukhorukova

PhD, Applied Mathematics and Optimisation, St-Petersburg State University, Russian Federation; PhD, Applied Mathematics, Federation University Australia (former University of Ballarat), Australia

Research interests

Mathematical modelling

PhD candidate and honours supervision

Higher degrees by research

Accredited to supervise Masters & Doctoral students as Principal Coordinating Supervisor.

PhD topics and outlines

An optimisation-based framework for non-classical Chebyshev approximation (ARC discovery project DP180100602). : Scholarship 26,300 per year (tax free).In this project you will work on extending classical results in approximation theory by developing a methodology that lies at the crossroads between analysis, algebra and geometry.  You will work on these challenging topics with an international team of researchers with a variety of mathematical expertise.

Remez algorithm for free knot splines:

Uniform polynomial approximation for multivariate functions


Available to supervise honours students.

Fields of Research

  • Optimisation - 010303
  • Operations Research - 010206
  • Approximation Theory And Asymptotic Methods - 010201

Teaching areas

Mathematical modelling


  • 2016, National, Cheryl Praeger Travel award, AustMS
  • 2010, Other, Transportation Industry Skills Innovation award, IBM


Also published as: Sukhorukova, Nadezda; Sukhorukova, N.; Soukhorokova, N.; Soukhoroukova, N.; Soukhoroukova, N. S.; Soukhoroukova, N. V.; Soukhoroukova, Nadejda ; Soukhoroukova, Nadejda S.; Soukhoroukova, Nadejda; Soukhoroukova, Nadezda; Soukhoroukova, Nadezda S.; Sukhorukova, N. S.; Sukhorukova, Nadejda; Sukhorukova, Nadejda S.; Sukhorukova, Nadezda S.
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Recent research grants awarded

  • 2018: Solving hard Chebyshev approximation problems through nonsmooth analysis *; ARC Discovery Projects Scheme

* Chief Investigator

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