Prashan Madumal

Researcher and Engineer

Hello! I am a researcher exploring Trustworthy AI, Explainable AI and Reinforcement Learning. My PhD (University of Melbourne) thesis explored how actions, behaviors and decisions of sequential decision making agents (e.g. reinforcement learning agents) can be explained using causal models.

Interests

Explainable/Interpretable Artificial Intelligence
Causal Learning
Reinforcement Learning
Human-Agent Interaction

Education

PhD in Computer Science, 2017-
The University of Melbourne
BSc in Computer Science, 2016
University of Colombo

Recent News

Dec 2020 - Our paper is accepted at AAAI 2021, preprint coming soon!
Oct 2020 - Honored to be a recipient of the Google PhD Fellowship, in recognition of my work in explainability of reinforcement learning agents. More details here.
Sep 2020 - I will be organzing the Explainable Agency in Artificial Intelligence Workshop at AAAI-21, together with Silvia Tulli, David Aha and Rosina Weber. See https://sites.google.com/view/xaiworkshop for more details.
May 2020 - I will be giving a Aribus research techtalk on explainable reinforcement learning.
Feb 2020 - Our paper “Explainable Reinforcement Learning Through a Causal Lens” will be presented as an oral talk at AAAI 2020
Feb 2020 - I’m volunteering for the Undergraduate Consortium at AAAI 2020 as a graduate mentor.
Feb 2020 - I was selected to participate in the Doctoral Consortium at AAAI 2020.

Publications

Improving Interpretability of CNN Models Using Non-Negative Concept Activation Vectors

Pre-print (2020)

Ruihan Zhang, Prashan Madumal, Tim Miller, Kris Ehinger, Benjamin I. P. Rubinstein

PDF

Explainable Reinforcement Learning Through a Causal Lens

Proceedings of the 34th AAAI Conference on Artificial Intelligence (2020)

Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere

PDF Proceedings

Explainable Agency in Reinforcement Learning Agents

Proceedings of the 34th AAAI Conference on Artificial Intelligence (2020)

Prashan Madumal

PDF Proceedings

Distal Explanations for Explainable Reinforcement Learning Agents

Pre-print

Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere

PDF

Designing Interactions with Intention-Aware Gaze-Enabled Artificial Agents

Human-Computer Interaction - INTERACT 2019 - 17th IFIP TC 13 International Conference (2019)

Joshua Newn, Ronal Rajneshwar Singh, Fraser Allison, Prashan Madumal, Eduardo Velloso, Frank Vetere

PDF Proceedings

Nonverbal Communication in Human-AI Interaction: Opportunities and Challenges

Human Computer Interaction and Emerging Technologies - Adjunct Proceedings from the INTERACT 2019 Workshops (2019)

Joshua Newn, Ronal Rajneshwar Singh, Fraser Allison, Prashan Madumal, Eduardo Velloso, Frank Vetere

PDF Proceedings

A Grounded Interaction Protocol for Explainable Artificial Intelligence

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (2019)

Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere

PDF Proceedings

Explainable Agency in Intelligent Agents: Doctoral Consortium

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (2019)

Prashan Madumal

PDF Proceedings

Interaction design for explainable AI: workshop proposal

Proceedings of the 30th Australian Conference on Computer-Human Interaction, OzCHI (2018)

Prashan Madumal, Ronal Rajneshwar Singh, Joshua Newn and, Frank Vetere

PDF Proceedings

Towards a Grounded Dialog Model for Explainable Artificial Intelligence

Workshop on Socio-cognitive Systems - IJCAI (2018)

Prashan Madumal, Tim Miller, Frank Vetere, Liz Sonenberg

PDF Proceedings

Adaptive event tree-based hybrid CEP computational model for Fog computing architecture

Proceedings of the 16th International Conference on Advances in ICT for Emerging Regions (ICTer) (2016)

Prashan Madumal, DAS Atukorale, TMHA Usoof

PDF Proceedings

Indoor navigation framework for mapping and localization of multiple robotic wheelchairs

5th International Conference on Intelligent Systems, Modelling and Simulation (2014)

Yasith Lokuge, Prashan Madumal, Tharindu Kumara, Naveen Ranasinghe

PDF Proceedings

Awards & Scholarships

Google PhD Fellowship

Google Aug 2020

Google PhD Fellowship students are a select group recognized by Google researchers and their institutions as some of the most promising young academics in the world. The Fellowships are awarded to students who represent the future of research - link

Google PhD Travel Scholarship

Google May 2019

AAMAS Travel Scholarship

IFAAMAS Apr 2019

Melbourne Research Scholarship

The University of Melbourne Jul 2017

Available to high-achieving students undertaking graduate research at the University of Melbourne.

Hall of Fame Award

Sysco Labs Dec 2016

Hall of Fame award is awarded for the most outstanding engineering artifact of the year by Sysco Labs.

Microsoft Imagine Cup - World Citizenship - Local Finals 1st Runners Up

Microsoft Mar 2014

The Imagine Cup World Citizenship Competition is a global contest for the best new software to address social issues.

Motorola Inter University Innovations Championship - 1st Runners Up

Motorola Dec 2013

Contact

Write to me - chikuwaprashan [at] gmail [dot] com