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Joseph Lizier's team

Joseph Lizier -- Team

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PhD opportunities

Please contact me regarding PhD projects in complex systems at The University of Sydney. You will likely need a First-class honours equivalent undergraduate record in order to qualify for scholarships here.

Current team members

Conor Finn

Postdoc 2019-2020;
PhD Student - 2016-2019, under submission (primary supervisor)
Conor is exploring the partial information decomposition approach to information regression.
Home page and Google scholar page
Outcomes: Conor's work has resulted in a new pointwise and component-wise approach to information decomposition, with several key publications, and the 2019 Entropy journal Best Paper award.

Leonardo Novelli

PhD Student - 2017-ongoing (primary supervisor)
Leonardo is exploring the performance of effective network inference algorithms for large neural imaging data sets.
Google scholar page
Outcomes: Leo's work provided the first evidence of the efficacy of network inference using multivariate transfer entropy at realistic scales of brain imaging data.

David Shorten

PhD Student - 2018-ongoing (primary supervisor)
David is exploring how information processing properties develop in complex systems.

Previous team members / associates

Oliver Cliff

Postdoc 2019-2020 (primary supervisor, Mac Shine co-supervisor);
CSIRO - Summer Vacation Student - 2012/13 (co-supervised with Dr. Rosalind Wang and Dr. Mikhail Prokopenko)
Oliver is exploring information flows in brain imaging data, examining impact of data properties on information flow and network inference. During his vacation work (prior to PhD) Oliver explored information transfer between simulated robots in robotic football games (RoboCup), and the relationship of these dynamics to game outcomes.
Home page and Google scholar page
Outcomes: Oliver's work resulted in a paper at the RoboCup'2013 Symposium, which received the Best Paper Award. Oliver went on to study for a PhD in the Australian Centre for Field Robotics at The University of Sydney.

Mike Li

The University of Sydney - Capstone student 2017 and Research Assistant 2018-19 (co-supervsised with Mac Shine as primary)
Mike has been exploring empirical measurement of information transfer in neural spike trains, and relation of information transfer to underlying structure and dynamics in neural models.

Emanuele Crosato

The University of Sydney - PhD Student - 2015-ongoing (co-supervised, with Mikhail Prokopenko as primary supervisor)
Emanuele is exploring information dynamics and thermodynamics of swarming/flocking behaviour.
Google scholar page

Jean-Christophe Spiliotis

The University of Sydney - Summer Vacation Student - 2015/16
Jean-Christophe explored group-level network inference.

Rommel Ceguerra

The University of Sydney - Bachelor of Information Technology; Honours project - 2010 (co-supervised with Prof. Albert Zomaya)
Rommel studied the information dynamics of the synchronisation process in locally-connected networks.
Outcomes: Rommel achieved a High Distinction grade for his Honours thesis, and his work resulted in our paper at the IEEE Symposium on Artificial Life (IEEE ALife) 2011, which received the Best Paper Award.

Siddharth Prittam

CSIRO - Intern - 2010 (co-supervised with Dr. Mikhail Prokopenko)
Siddharth explored the relationship between emergent information dynamics and underlying small-world topologies in random Boolean networks.
Outcomes: Siddharth's work resulted in a paper in the Artificial Life journal, and an abstract at the European Conference on Artificial Life (ECAL) 2011.

Dany Pradhana

CSIRO - Summer vacation student - 2008/09 (co-supervised with Dr. Mikhail Prokopenko and Mahendra Piraveenan)
Outcomes: Dany's work resulted in our paper at the European Conference on Artificial Life (ECAL) 2009.