Prof. John Thangarajah

Prof. John Thangarajah

RMIT University

H-index: 27

Oceania-Australia

About Prof. John Thangarajah

Prof. John Thangarajah, With an exceptional h-index of 27 and a recent h-index of 14 (since 2020), a distinguished researcher at RMIT University, specializes in the field of Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Design Patterns for Explainable Agents (XAg)

Explainable Agents (XAg) by Design

SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning

Multi-agent intention recognition and progression

A Behaviour-Driven Approach for Testing Requirements via User and System Stories in Agent Systems

Intention progression with maintenance goals

Feedback-Guided Intention Scheduling for BDI Agents

Preliminary Study of Pseudo-PET Image Synthesis of Glucose Metabolism from Early-Phase PET Images of an Uncorrelated Radiotracer

Prof. John Thangarajah Information

University

Position

___

Citations(all)

2525

Citations(since 2020)

707

Cited By

2206

hIndex(all)

27

hIndex(since 2020)

14

i10Index(all)

62

i10Index(since 2020)

24

Email

University Profile Page

RMIT University

Google Scholar

View Google Scholar Profile

Prof. John Thangarajah Skills & Research Interests

Artificial Intelligence

Top articles of Prof. John Thangarajah

Title

Journal

Author(s)

Publication Date

Design Patterns for Explainable Agents (XAg)

Sebastian Rodriguez

John Thangarajah

Andrew Davey

2024/5/6

Explainable Agents (XAg) by Design

Sebastian Rodriguez

John Thangarajah

2024/5/6

SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning

Andrew Chester

Michael Dann

Fabio Zambetta

John Thangarajah

2023/11/27

Multi-agent intention recognition and progression

Michael Dann

Yuan Yao

Natasha Alechina

Brian Logan

Felipe Meneguzzi

...

2023/6/15

A Behaviour-Driven Approach for Testing Requirements via User and System Stories in Agent Systems

Sebastian Rodriguez

John Thangarajah

Michael Winikoff

2023/5/30

Intention progression with maintenance goals

Di Wu

Yuan Yao

Natasha Alechina

Brian Logan

John Thangarajah

2023/5/30

Feedback-Guided Intention Scheduling for BDI Agents

Michael Dann

John Thangarajah

Minyi Li

2023/5/30

Preliminary Study of Pseudo-PET Image Synthesis of Glucose Metabolism from Early-Phase PET Images of an Uncorrelated Radiotracer

Prabath Hetti Mudiyanselage

Ruwan Tennakoon

John Thangarajah

Robert Ware

Jason Callahan

...

2023/11/28

Quantifying the progress of goals in intelligent agents

International journal of agent-oriented software engineering

James Harland

John Thangarajah

Neil Yorke-Smith

2022

Oracle-SAGE: Planning Ahead in Graph-Based Deep Reinforcement Learning

Andrew Chester

Michael Dann

Fabio Zambetta

John Thangarajah

2022/9/19

Multi-Agent Intention Progression with Reward Machines.

Michael Dann

Yuan Yao

Natasha Alechina

Brian Logan

John Thangarajah

2022/7/30

Testing Requirements via User and System Stories in Agent Systems

Sebastian Rodriguez

John Thangarajah

Michael Winikoff

Dhirendra Singh

2022/5/9

Automated Story Sifting Using Story Arcs

Wilkins Leong

Julie Porteous

John Thangarajah

2022/5/9

Automated Sifting of Stories from Simulated Storyworlds.

Wilkins Leong

Julie Porteous

John Thangarajah

2022

Incidental detection of prostate cancer with computed tomography scans

Scientific Reports

Steven Korevaar

Ruwan Tennakoon

Mark Page

Peter Brotchie

John Thangarajah

...

2021/4/12

Multi-Agent Intention Progression with Black-Box Agents.

Michael Dann

Yuan Yao

Brian Logan

John Thangarajah

2021

Performance degrades less under increased workload with the addition of speech control in a dynamic environment

Applied Ergonomics

Maria Vukovic

Lawrence Cavedon

John Thangarajah

Sebastian Rodriguez

2021/10/1

Intention progression using quantitative summary information

Yuan Yao

Natasha Alechina

Brian Logan

John Thangarajah

2021/5/3

User and System Stories: an agile approach for managing requirements in AOSE

Sebastian Rodriguez

John Thangarajah

Michael Winikoff

2021/5/3

Adapting to Reward Progressivity via Spectral Reinforcement Learning

arXiv preprint arXiv:2104.14138

Michael Dann

John Thangarajah

2021/4/29

See List of Professors in Prof. John Thangarajah University(RMIT University)