Mark Wallace — Monash University

Personal profile

Biography

Professor Mark Wallace is the Deputy Dean (Research) in the Faculty of Information Technology.

Professor Wallace graduated from Oxford University in Mathematics and Philosophy. He worked for the UK computer company ICL for 21 years while completing a Masters degree in Artificial Intelligence at the University of London and a PhD sponsored by ICL at Southampton University. For his PhD, Professor Wallace designed a natural language processing system which ICL turned into a product. He moved to Imperial College in 2002, taking a Chair at Monash University in 2004.

His research interests span different techniques and algorithms for optimisation and their integration and application to solving complex resource planning and scheduling problems. He was a co-founder of the hybrid algorithms research area and is a leader in the research areas of Constraint Programming (CP) and hybrid techniques (CPAIOR). The outcomes of his research in these areas include practical applications in transport optimisation.

He is passionate about modelling and optimisation and the benefits they bring. His focus both in industry and University has been on application-driven research and development, where industry funding is essential both to ensure research impact and to support sufficient research effort to build software systems that are robust enough for application developers to use.

He led the team that developed the ECLiPSe constraint programming platform, which was bought by Cisco Systems in 2004. Moving to Australia, he worked on a novel hybrid optimisation software platform called G12, and founded the company Opturion to commercialise it. He also established the Monash-CTI Centre for optimisation in travel, transport and logistics. He has developed solutions for major companies such as BA, RAC, CFA, and Qantas. He is currently involved in the Alertness CRC, plant design for Woodside planning, optimisation for Melbourne Water, and work allocation for the Alfred hospital.

Monash teaching commitment

Professor Mark Wallace has experience as the Lecturer for the following units in the Faculty of IT:

FIT5057 Project management
FIT2006 Business process modelling and workflow
FIT3022 Intelligent decision support systems
FIT4010 Advanced topics in algorithms and discrete structures

Keywords

Constraint Programming
Hybrid Techniques
Optimisation
Problem Modelling And Solving
Transport Applications

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Projects 2004 2020

2 Active
13 Finished

Learning from learning solvers

Garcia De La Banda, M. J., Wallace, M. & Tack, G.

1/01/18 → 31/12/20

Project: Research

Connectivity – From Sea to Rail, Sea to Road, Road to Rail

Ernst, A. T., Wallace, M., Widyastuti, H. & Krishnamoorthy, M.

1/07/16 → 31/12/18

Project: Research

Optimising Melbourne Water’s Bulk Water Supply System with a Five Year Horizon

Tack, G. & Wallace, M.

1/05/17 → 21/07/17

Project: Research

Development of Software System for Group Work Scheduling

Wallace, M., Krishnamoorthy, M., Ernst, A. T., Belov, G., de Koninck, L., Sletten, T., Howard, M. E., Wilson Rajaratnam, S. M. & Lockley, S.

1/05/16 → 30/06/18

Project: Research

Effective profiling of large scale combinatorial optimisation problems

Garcia De La Banda, M. J., Dwyer, T. G., Tack, G. & Wallace, M.

Australian Research Council (ARC)

27/11/14 → 30/01/18

Project: Research

Research Output 1984 2017

28 Article
26 Conference Paper
5 Chapter (Book)
3 Other
5 More

An optimization model for 3D pipe routing with flexibility constraints

Belov, G., Czauderna, T., Dzaferovic, A., de la Banda, M. G., Wybrow, M. & Wallace, M. 2017 Principles and Practice of Constraint Programming : 23rd International Conference CP 2017, Proceedings. Beck , C. (ed.). Cham Switzerland: Springer, Vol. 10416 , p. 321-337 17 p. (1Lecture Notes in Computer Science; vol. 10416 )

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper

Fast electrical demand optimization under real-time pricing

He, S., Wallace, M., Wilson, C. & Liebman, A. 2017 Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17). Singh, S. & Markovitch, S. (eds.). Palo Alto CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 4935-4936 2 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper

Open Access

File

Scenario-based learning for stochastic combinatorial optimisation

Hemmi, D., Tack, G. & Wallace, M. 2017 Integration of AI and OR Techniques in Constraint Programming : 14th International Conference, CPAIOR 2017, Padua, Italy, June 5–8, 2017, Proceedings. Salvagnin, D. & Lombardi, M. (eds.). Cham, Switzerland: Springer, p. 277-292 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10335 )

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper