World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
6657
World Ranking
9320
National Ranking
287

Overview

Lin Padgham is affiliated with RMIT University in Australia, where their research spans multiple areas within social sciences and engineering. Their work primarily focuses on the intersection of demographic modeling, human mobility, and transportation systems, integrating interdisciplinary approaches to address complex societal and environmental challenges.

Padgham's main fields of study include:

  • Social Sciences
  • Engineering

Their subfields of study further specify areas such as:

  • Ocean Engineering
  • Transportation
  • Demography
  • Statistical and Nonlinear Physics
  • Automotive Engineering

Their research topics cover multiple aspects of human and environmental interaction, including:

  • Evacuation and Crowd Dynamics
  • Opinion Dynamics and Social Influence
  • Human Mobility and Location-Based Analysis
  • Transportation Planning and Optimization
  • Transportation and Mobility Innovations
  • Demographic Modeling and Climate Adaptation
  • Insurance, Mortality, Demography, Risk Management

Padgham has contributed to the scholarly community through publications in various venues. Notable frequent publication venues include:

  • Computers Environment and Urban Systems
  • arXiv (Cornell University)

Two recent papers illustrate the scope of their work:

  • "Multi-level simulation of the physical, cognitive and social," 2022, Computers Environment and Urban Systems
  • "Building a large synthetic population from Australian census data," 2020, arXiv (Cornell University)

Padgham collaborates frequently with several researchers, with some of their most frequent coauthors being:

  • Dhirendra Singh
  • Chaminda Bulumulla
  • Jeffrey Chan
  • Kai Nagel
  • Bhagya N. Wickramasinghe

Their interdisciplinary emphasis integrates social dynamics with engineering methods to address issues related to evacuation safety, transportation infrastructure, and demographic change. By combining computational simulations with statistical modeling, Padgham explores ways to enhance planning and risk management in urban and environmental contexts.

Best Publications

  • Developing Intelligent Agent Systems: A Practical Guide

    Lin Padgham;Michael Winikoff

  • Prometheus: a methodology for developing intelligent agents

    Lin Padgham;Michael Winikoff

  • Reframing social sustainability reporting: towards an engaged approach

    Liam Magee;Andy Scerri;Paul James;James A. Thom

  • Declarative and procedural goals in intelligent agent systems

    Michael Winikoff;Lin Padgham;James Harland;John Thangarajah

  • Prometheus: a methodology for developing intelligent agents

    Lin Padgham;Michael Winikoff

  • Representation and reasoning for goals in BDI agents

    John Thangarajah;Lin Padgham;James Harland

  • Hierarchical planning in BDI agent programming languages: a formal approach

    Sebastian Sardina;Lavindra de Silva;Lin Padgham

  • Detecting & avoiding interference between goals in intelligent agents

    John Thangarajah;Lin Padgham;Michael Winikoff

  • Debugging multi-agent systems using design artifacts: the case of interaction protocols

    David Poutakidis;Lin Padgham;Michael Winikoff

  • Prometheus: A Pragmatic Methodology for Engineering Intelligent Agents

    Lin Padgham;Michael Winikoff

  • A BDI agent programming language with failure handling, declarative goals, and planning

    Sebastian Sardina;Lin Padgham

  • Non-monotonic inheritance for an object-oriented knowledge-base

    Lin Padgham

  • Simplifying the Development of Intelligent Agents

    Michael Winikoff;Lin Padgham;James Harland

  • Tool support for agent development using the Prometheus methodology

    L. Padgham;John Thangarajah;M. Winikoff

  • Prometheus: a practical agent oriented methodology

    Lin Padgham;Michael Winikoff

  • Detecting & exploiting positive goal interaction in intelligent agents

    John Thangarajah;Lin Padgham;Michael Winikoff

  • Adding debugging support to the Prometheus methodology

    Lin Padgham;Michael Winikoff;David Poutakidis

  • Integrating BDI Agents with Agent-Based Simulation Platforms

    Dhirendra Singh;Lin Padgham;Brian Logan

  • First principles planning in BDI systems

    Lavindra de Silva;Sebastian Sardina;Lin Padgham

  • Avoiding resource conflicts in intelligent agents

    John Thangarajah;Lin Padgham

  • Prometheus design tool

    John Thangarajah;Lin Padgham;Michael Winikoff

Frequent Co-Authors

Michael Winikoff
Michael Winikoff Victoria University of Wellington
Bernhard Nebel
Bernhard Nebel University of Freiburg
Kai Nagel
Kai Nagel Technical University of Berlin
Wei Liu
Wei Liu Tencent (China)
Michael Luck
Michael Luck University of Sussex
Scott A. DeLoach
Scott A. DeLoach Kansas State University
Tim Miller
Tim Miller University of Queensland
Franco Zambonelli
Franco Zambonelli University of Modena and Reggio Emilia
Ana L. C. Bazzan
Ana L. C. Bazzan Federal University of Rio Grande do Sul
Mary Jane Irwin
Mary Jane Irwin Pennsylvania State University

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