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
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.