Mark Wallace

Personal profile

Biography

Professor Mark Wallace is a leader in discrete optimisation 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 2022

3 Active
16 Finished

Data61 CRP - "Optimisation technologies and datasets for energy systems"

Liebman, A., Tack, G., Wallace, M., Le Bodic, P., Dunstall, S., LANGRENÉ, N. & Schutt, A. S.

1/07/19 → 30/06/20

Project: Research

Personalised Public Transport

Wallace, M., Moser, I., Ronald, N. & Harabor, D.

1/04/19 → 31/03/22

Project: Research

Learning from learning solvers

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

1/01/18 → 31/12/20

Project: Research

Leverage Emerging Technologies To Drive Logistics and Warehousing Transformation

Nand, A., Wallace, M., Napper, R., Sohal, A. & Fridman, I.

Monash University – Internal University Contribution

1/07/18 → 30/06/19

Project: Research

ICU Nurse Allocation Project

Wallace, M. & Senthooran, I.

18/06/18 → 18/12/18

Project: Research

Research Output 1984 2019

40 Article
36 Conference Paper
6 Chapter (Book)
4 Editorial
9 More

Coordinated transit signal priority model considering stochastic bus arrival time

Truong, L. T., Currie, G., Wallace, M., De Gruyter, C. & An, K., Apr 2019, In : IEEE Transactions on Intelligent Transportation Systems. 20, 4, p. 1269-1277 9 p.

Research output: Contribution to journal › Article › Research › peer-review

A fast and scalable algorithm for scheduling large numbers of devices under real-time pricing

He, S., Wallace, M., Gange, G., Liebman, A. & Wilson, C., 2018, Principles and Practice of Constraint Programming : 24th International Conference, CP 2018 Lille, France, August 27–31, 2018 Proceedings. Hooker, J. (ed.). Cham Switzerland: Springer, p. 649-666 18 p. (Lecture Notes in Computer Science ; vol. 11008).

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

A recursive scenario decomposition algorithm for combinatorial multistage stochastic optimisation problems

Hemmi, D., Tack, G. & Wallace, M., 2018, Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18 ): New Orleans, Louisiana USA — February 2–7, 2018. McIlraith, S. & Weinberger, K. (eds.). Palo Alto CAL USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 1322-1329 8 p.

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

Process plant layout optimization: equipment allocation

Belov, G., Czauderna, T., de la Banda, M. G., Klapperstueck, M., Senthooran, I., Smith, M., Wybrow, M. & Wallace, M., 23 Aug 2018, Principles and Practice of Constraint Programming : 24th International Conference, CP 2018 Lille, France, August 27–31, 2018 Proceedings. Hooker, J. (ed.). Cham Switzerland: Springer, p. 473-489 17 p. (Lecture Notes in Computer Science; vol. 11008 ).

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