Guido Tack

Personal profile

Biography

Guido Tack is a Senior Lecturer at the Faculty of Information Technology, Caulfield Campus, Monash University, and a member of the Data61 Decision Sciences Group.

His research focuses on combinatorial optimisation, in particular architecture and implementation techniques for constraint solvers, translation of constraint modelling languages, and industrial applications. Guido leads the development of the MiniZinc constraint modelling language and toolchain. He is one of the main developers of Gecode, a state-of-the-art constraint programming library.

Guido's broader research interests include programming languages and computational logic.

Guido graduated and received his doctoral degree (Dr.-Ing.) from the Department of Computer Science, Saarland University, Germany. Before joining Monash University as a Lecturer and Monash Larkins Fellow in February 2012, he worked as a post-doctoral researcher at NICTA Victoria Laboratory, Saarland University (Germany), and K.U. Leuven (Belgium).

Monash teaching commitment

Dr Guido Tack is the course director for the Master of Information Technology degree.

Guido has experience as the Chief Examiner for the following units in the Faculty of IT:

FIT5170 Programming for distributed, parellel and mobile systems
FIT9135 Data communications

Guido has experience as Lecturer for the following units in the Faculty of IT:

FIT1047 Introduction to computer systems, networks and security
FIT4010 Advanced topics in algorithms and discrete structures
FIT5170 Programming for distributed, parallel and mobile systems
FIT9135 Data communications

Keywords

optimisation
constraint programming
problem modelling and solving

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2012 2022

3 Finished
3 Active

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

Agilent Thought Leader Award

Bonnington, P., Marriott, K., Le Bodic, P. & Tack, G.

11/02/19 → 11/02/22

Project: Research

Learning from learning solvers

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

1/01/18 → 31/12/20

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

Effective profiling of large scale combinatorial optimisation problems

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

Australian Research Council (ARC)

27/11/14 → 30/01/18

Project: Research

Research Output 2005 2018

30 Conference Paper
8 Article
3 Chapter (Book)
2 Editorial
3 More

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.