Andrew Eberhard

Professor Andrew Eberhard

Assistant AD Mathematical Science

Details

Open to

  • Masters Research or PhD student supervision

About

Professor Andrew Eberhard is Deputy Head – Mathematics and Statistics at RMIT University; Program Leader, Platform Technology Research Institute (Information and Networks); and the Director of the Australian Mathematical Sciences Institute, 2016 Summer School.

Professor Eberhard is an expert in the study of convergence and the approximation of convex and other nonlinear functions. This includes the study of the effect that approximations have on the differential and duality properties of optimization problems based on these functions. He has a broad interest in optimization theory and algorithms working in both continuous, nonsmooth optimization as well as integer programming.

Professor Eberhard has applied theory that he has developed to many applications, including control theory, nonsmooth optimality conditions, the theory of viscosity solutions of elliptic partial differential equations and the theory of optimization algorithms of various types. He has also used these methods to study the best fit problem for utility functions based on observations of a consumer's revealed preferences.

Professor Eberhard has also pioneered the use of various geometric structures from generalized convexity in nonsmooth analysis. Such methods have also proven very useful in the development of theories in second-order nonsmooth analysis and its application to optimization.

He has experience in the application of duality theory to the reformulation and solution of optimization problems. Recently, these techniques have provided a theory to explain and improve the Feasibility Pump for Mixed Integer Programming. Techniques for convex and functional analysis have also been exploited to great effect in obtaining qualitative and quantitative information for control design and signal processing problems. Professor Eberhard has an interest in monotone operator theory and convex analysis.


Industry Experience:
Professional interests and links to industry
• Access Grid Room Coordinator at RMIT
• Chair of the Access Grid Steering Committee of the Australian Mathematical Sciences Institute (AMSI)
• Reviewer for AMS Mathematical Reviews

Accomplishments and achievements:
• Invited speaker, Australian-Chinese workshops on optimisation, Ballarat University, 2004, 2009, 2010 and 2013
• Program Leader, Platform Technologies Research Institute (Information and Networks), 2012 – present
• Plenary Speaker, ANZIAM, Warrnambool, Victoria, 2012
• Deputy Director, Australian Mathematical Sciences Institute, 2010–2012
• Visiting Professor, University of Perpignan, France, 2010
• Invited teacher AMSI Summer Schools, 2004 and 2006
• Visiting Professor, Dalhousie University, Halifax, Nova Scotia, Canada, 2005
• Visiting Professor, Blaise Pascal University, Clermont-Ferrand, France, 1999
• Invited speaker, "Nonlinear Dynamics and Optimization" session at the joint meeting of the American and Australian Mathematical Societies, Melbourne, 12–16 July 1999

Supervisor projects

  • Enhancing Machine Learning Model Performance through Advanced Hyperparameter and Topology Optimization Techniques
  • 18 Jan 2024
  • Reboot sensing MIMO with machine learning and mathematical optimization
  • 21 Dec 2023
  • Improved Air Traffic Flow Optimisation using Weather Information
  • 1 Dec 2023
  • Frames of Fractals
  • 14 Mar 2023
  • Constrained DC optimization and it's application in clustering
  • 19 Dec 2022
  • Non-Convex Optimisation: A Finite-Time Dynamics Approach
  • 24 Mar 2021
  • Mathematical Modelling and Solution Approaches to Tackle Challenges in Real-life Routing Problems
  • 6 Nov 2020
  • Patient Classification with Ensemble Tree-Based Modelling for Decision Support in Acute Clinical Care Settings
  • 4 Nov 2020
  • Improving Neural Network Performance Through Accelerated Learning and Simplified Architecture for Big Data Applications
  • 30 Sep 2020
  • Analysis of the Dynamics of a Model Anaerobic Digester.
  • 2 Mar 2020
  • Enhancing Combinatorial Optimization through Solution Prediction Using Machine Learning
  • 26 Sep 2019
  • Exact Methods for Single and Multi-Objective Integer Programming Problems
  • 8 Dec 2017
  • Some Solution Methods in the Area of Multi-Objective Integer and Mixed Integer Programming Problems
  • 30 Aug 2017
  • Geometry in Structured Optimisation Problems
  • 20 Jul 2015
  • Decomposition and duality based approaches to Stochastic Integer Programming
  • 1 Jul 2014
  • Ensuring Blood is Available when it is Needed Most 
  • 3 Mar 2014
  • Multi-Criteria Air Traffic Flow Optimisation Including Uncertainty
  • 28 Jan 2014

Teaching interests

Supervisor interests
Nonsmooth analysis extends classical calculus to the domain of nondifferential functions and has application in diverse fields, including control theory, optimization, PDE theory and economic modelling

Research interests

Applied Mathematics, Numerical and Computational Mathematics, Pure Mathematics, Aerospace Engineering, Artificial Intelligence and Image Processing, Transportation and Freight Services
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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.