T.L. McCluskey

T.L. McCluskey

University of Huddersfield

H-index: 32

Europe-United Kingdom

About T.L. McCluskey

T.L. McCluskey, With an exceptional h-index of 32 and a recent h-index of 19 (since 2020), a distinguished researcher at University of Huddersfield, specializes in the field of Artificial Intelligence.

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

Deployable yet Effective Traffic Signal Optimisation via Automated Planning

PDDL+ Models for Deployable yet Effective Traffic Signal Optimisation

Ontology-guided knowledge graph construction to support scheduling in a train maintenance depot

Towards Rolling Stock Preventive Maintenance Scheduling-Short-term Scheduling Optimisation

Automated planning for generating and simulating traffic signal strategies

An efficient heuristic for ai-based urban traffic control

Traffic strategy system and method of implementing the same

On-the-Fly Knowledge Acquisition for Automated Planning Applications: Challenges and Lessons Learnt.

T.L. McCluskey Information

University

Position

Professor of Software Technology

Citations(all)

3922

Citations(since 2020)

1911

Cited By

2903

hIndex(all)

32

hIndex(since 2020)

19

i10Index(all)

68

i10Index(since 2020)

33

Email

University Profile Page

University of Huddersfield

Google Scholar

View Google Scholar Profile

T.L. McCluskey Skills & Research Interests

Artificial Intelligence

Top articles of T.L. McCluskey

Title

Journal

Author(s)

Publication Date

Deployable yet Effective Traffic Signal Optimisation via Automated Planning

Anas El Kouaiti

Francesco Percassi

Alessandro Saetti

Lee McCluskey

Mauro Vallati

2024/3/25

PDDL+ Models for Deployable yet Effective Traffic Signal Optimisation

Anas El Kouaiti

Francesco Percassi

Alessandro Saetti

Thomas Leo McCluskey

Mauro Vallati

2024/2/12

Ontology-guided knowledge graph construction to support scheduling in a train maintenance depot

CEUR Workshop Proceedings

Emmanuel Papadakis

Lee McCluskey

Hassna Louadah

Gareth Tucker

2023/5/1

Towards Rolling Stock Preventive Maintenance Scheduling-Short-term Scheduling Optimisation

CEUR Workshop Proceedings

Hassna Louadah

Lee McCluskey

Gareth Tucker

Emmanuel Papadakis

2023/4/29

Automated planning for generating and simulating traffic signal strategies

Saumya Bhatnagar

Rongge Guo

Keith McCabe

Thomas McCluskey

Francesco Percassi

...

2023/4/19

An efficient heuristic for ai-based urban traffic control

Francesco Percassi

Saumya Bhatnagar

Rongge Guo

Keith McCabe

Thomas L Mccluskey

...

2023/6/14

Traffic strategy system and method of implementing the same

2022/3/24

On-the-Fly Knowledge Acquisition for Automated Planning Applications: Challenges and Lessons Learnt.

Saumya Bhatnagar

Sumit Mund

Enrico Scala

Keith McCabe

Thomas Leo McCluskey

...

2022/2/3

On the challenges of on-the-fly knowledge acquisition for automated planning applications

14th International Conference on Agents and Artificial Intelligence

Saumya Bhatnagar

Sumit Mund

Enrico Scala

Keith McCabe

Lee McCluskey

...

2022

Verification of numeric planning problems through domain dynamic consistency

Enrico Scala

Thomas L McCluskey

Mauro Vallati

2022/11/28

Leveraging artificial intelligence for simulating traffic signal strategies

Saumya Bhatnagar

Rongge Guo

Keith McCabe

Thomas L McCluskey

Enrico Scala

...

2022/10/8

Knowledge engineering for planning and scheduling in the context of ontological engineering: An application in railway rolling stock maintenance

Knowledge Engineering for Planning and Scheduling Workshop

Thomas L McCluskey

Hassna Louadah

Emmanuel Papadakis

Gareth Tucker

Adam Bevan

...

2021/8/5

On the importance of domain model configuration for automated planning engines

Journal of Automated Reasoning

Mauro Vallati

Lukáš Chrpa

Thomas Leo McCluskey

Frank Hutter

2021/8

A Quality Framework for Automated Planning Knowledge Models.

Mauro Vallati

Thomas Leo Mccluskey

2021/4/19

Plan2Know: Constructing Plans for Guiding Data Collection

Alan Lindsay

Lee McCluskey

Ronald PA Petrick

2021/12/20

Translating ontological knowledge to PDDL to do Planning in Train Depot Management Operations

36th Workshop of the UK Planning and Scheduling Special Interest Group

Hassna Louadah

Emmanuel Papadakis

Thomas L Mccluskey

Gareth Tucker

Peter Hughes

...

2021/12/20

In defence of design patterns for AI planning knowledge models

Mauro Vallati

Thomas L McCluskey

2020/11/24

An Exploration of the Use of AI Planning for Predicting Stock Market Movement

FinPlan 2020

Sumit Mund

Mauro Vallati

Thomas McCluskey

2020/10

Refining process descriptions from execution data in hybrid planning domain models

Proceedings of the International Conference on Automated Planning and Scheduling

Alan Lindsay

Santiago Franco

Rubiya Reba

Thomas L McCluskey

2020/6/1

Improving Task Planning Knowledge Robustness for Autonomous Robots

Available at SSRN 4390651

Hadeel Jazzaa

Thomas McCluskey

David Peebles

2020

See List of Professors in T.L. McCluskey University(University of Huddersfield)