World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
12849
World Ranking
6070
National Ranking
366

Overview

Derek Long is a researcher affiliated with King's College London in the United Kingdom. Their work predominantly lies within the field of Computer Science, with a strong emphasis on Artificial Intelligence. Over their career, they have contributed to 24 publications in this area, exploring several specialized subfields such as Artificial Intelligence, Ocean Engineering, Safety Research, Software, and Computer Vision and Pattern Recognition.

The primary topics Derek Long has investigated include AI-based Problem Solving and Planning, Semantic Web and Ontologies, Explainable Artificial Intelligence (XAI), Ethics and Social Impacts of AI, Logic, Reasoning, and Knowledge, Adversarial Robustness in Machine Learning, and Model-Driven Software Engineering Techniques.

Frequent collaborators in Derek Long's work include Benjamin Krarup, Senka Krivić, Maria Fox, Laurence A. Nafié, and Hiro-o Hamaguchi, indicating sustained research relationships and joint projects.

Derek Long has publications in various venues, reflecting the interdisciplinary nature of their research. Key publication venues include arXiv (Cornell University), the Journal of Raman Spectroscopy, the Journal of Artificial Intelligence Research, PubMed, and AI Communications.

Representative recent papers authored or co-authored by Derek Long include:

  • Contrastive Explanations of Plans through Model Restrictions (2021, Journal of Artificial Intelligence Research)
  • Reasoning and Interaction for Social Artificial Intelligence (2022, AI Communications)
  • Towards Contrastive Explanations for Comparing the Ethics of Plans (2020, arXiv (Cornell University))
  • Optimization of Fermentation Processes in Intelligent Biomanufacturing: On Online Monitoring, Artificial Intelligence, and Digital Twin Technologies (2025, PubMed)
  • Understanding a Robot's Guiding Ethical Principles via Automatically Generated Explanations (2022, 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE))

The research topics covered in these works reflect an intersection between ethical considerations in AI, explainability, planning, and applied artificial intelligence in domains such as biomanufacturing. The scientific output shows engagement with contemporary issues in AI ethics and explainability alongside technical advancements.

Best Publications

  • PDDL2.1: an extension to PDDL for expressing temporal planning domains

    Maria Fox;Derek Long

  • The 3rd international planning competition: results and analysis

    Derek Long;Maria Fox

  • Deterministic planning in the fifth international planning competition: PDDL3 and experimental evaluation of the planners

    Alfonso E. Gerevini;Patrik Haslum;Derek Long;Alessandro Saetti

  • Plan Constraints and Preferences in PDDL3

    Alfonso Gerevini;Derek Long

  • Forward-chaining partial-order planning

    Amanda Coles;Andrew Coles;Maria Fox;Derek Long

  • The automatic inference of state invariants in TIM

    Maria Fox;Derek Long

  • Modelling mixed discrete-continuous domains for planning

    Maria Fox;Derek Long

  • Plan stability: replanning versus plan repair

    Maria Fox;Alfonso Gerevini;Derek Long;Ivan Serina

  • VAL: automatic plan validation, continuous effects and mixed initiative planning using PDDL

    R. Howey;D. Long;M. Fox

  • ROSPlan: planning in the robot operating system

    Michael Cashmore;Maria Fox;Derek Long;Daniele Magazzeni

  • The Detection and Exploitation of Symmetry in Planning Problems

    Maria Fox;Derek Long

  • Efficient implementation of the plan graph in STAN

    Derek Long;Maria Fox

  • COLIN: planning with continuous linear numeric change

    Amanda Coles;Andrew Coles;Maria Fox;Derek Long

  • IJCAI International Joint Conference on Artificial Intelligence

    Josef Bajada;Maria Fox;Derek Long

  • Preferences and soft constraints in PDDL3

    A. Gerevini;D. Long

  • Learning macro-actions for arbitrary planners and domains

    M. A. Hakim Newton;John Levine;Maria Fox;Derek Long

  • Proceedings of the National Conference on Artificial Intelligence

    Chiara Piacentini;Maria Fox;Derek Long

  • Planning with problems requiring temporal coordination

    Andrew Coles;Maria Fox;Derek Long;Amanda Smith

  • Exploiting a Graphplan framework in temporal planning

    Derek Long;Maria Fox

  • Explainable Planning

    Maria Fox;Derek Long;Daniele Magazzeni

  • Proceedings of International Conference on Automated Planning and Scheduling

    Andrew Coles;Maria Fox;Derek Long;Amanda Coles

  • ROSPlan: Planning in the Robot Operating System

    Michael Cashmore;Maria Fox;Derek Long;Daniele Magazzeni

  • Proceedings of OCEANS'13 MTS/IEEE

    Michael Cashmore;Maria Fox;Tom Larkworthy;Derek Long

  • Proceedings of IEEE International Conference on Robotics and Automation (ICRA 2014)

    Michael Cashmore;Maria Fox;Tom Larkworthy;Derek Long

  • Efficient Implementation of the Plan Graph in STAN

    M. Fox;D. Long

Frequent Co-Authors

Maria Fox
Maria Fox British Antarctic Survey
Chris Reed
Chris Reed University of Dundee
Jörg Hoffmann
Jörg Hoffmann Saarland University
Mark J. Weal
Mark J. Weal University of Southampton
Ruth Aylett
Ruth Aylett Heriot-Watt University
Timothy J. Norman
Timothy J. Norman University of Southampton
Nicholas R. Jennings
Nicholas R. Jennings Loughborough University
Michael Luck
Michael Luck University of Sussex
John P. Ryan
John P. Ryan Monterey Bay Aquarium Research Institute
Kostas J. Kyriakopoulos
Kostas J. Kyriakopoulos National Technical University of Athens

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying computer science in the USA opens doors to a wide range of related academic and career paths. For students seeking flexibility, there are many online options across STEM fields. For example, if you’re interested in physics, you might wonder, can you get a physics degree online? The answer is yes, with several accredited programs offering distance learning.

Data science is also a booming field—many universities offer data science degrees online, providing advanced skills in analytics and machine learning. If your interests lean toward technology and innovation, consider exploring electrical engineering degree online admissions for top-rated online programs that prepare you for dynamic industries.

For those looking for faster entry into the job market, there are also valuable short certificate programs that pay well. These certifications offer practical, in-demand skills geared for high-paying roles without the time commitment of a full degree. Exploring these pathways can help you customize your education and career in technology.

Best Scientists Citing Derek Long

Trending Scientists