Supports open access

15.0
CiteScore

|

4.6
Impact Factor

Supports open access

15.0
CiteScore

4.6
Impact Factor

Gender diversity of editors and editorial board members

Data represents responses from 67% of 147 editors and editorial board members

147 editors and editorial board members in 27 countries/regions
  1. United Kingdom (20)
  2. United States (19)
  3. China (16)

Sylvie Thiebaux, PhD

Australian National University, Canberra, Australia
Artificial Intelligence

Michael Wooldridge

University of Oxford, Department of Computer Science, Oxford, United Kingdom

Maria Gini, PhD

University of Minnesota Twin Cities, Department of Computer Science and Engineering, Minneapolis, Minnesota, United States
Artificial Intelligence, Robotics, Distributed decision making

Sven Koenig

University of California Irvine, Irvine, California, United States

Meir Kalech, Professor

Ben-Gurion University of the Negev, Be'er Sheva, Israel
Artificial Intelligence, Model-Based Diagnosis, Multi-Agent Systems, AI for Software Engineering

Natasha Alechina, Professor

Open University of The Netherlands, Heerlen, Netherlands
Verification and synthesis of AI systems, Safe Artificial Intelligence, Multi-agent systems

Leila Amgoud, PhD

Toulouse Institute of Computer Science Research, Toulouse, France
Knowledge representation and reasoning, Argumentation, Nonmonotonic logics, Explainability

Bo An

Nanyang Technological University, Singapore, Singapore

Haris Aziz

University of New South Wales, Sydney, New South Wales, Australia

Yoram Bachrach, PhD

Meta Platforms Inc, Menlo Park, California, United States
Machine Learning, Deep Learning, Multiagent Systems, Game Theory

Salem Benferhat

Computer Science Research Institute of Lens, Lens, France

Sara Bernardini, PhD

University of Oxford, Department of Computer Science, Oxford, United Kingdom
Planning, Combinatorial Optimisation, Robotics, Autonomous Decision-Making

Meghyn Bienvenu, PhD, HDR

Bordeaux Computer Research Laboratory, Talence, France

Markus Brill, Dr.

University of Warwick, Coventry, United Kingdom
Computational Social Choice

Ioannis Caragiannis, PhD in Computer Science and Engineering

Aarhus University, Aarhus, Denmark
Algorithms and complexity, algorithmic game theory, computational social choice, fair division, multi-agent systems

Louise Dennis, PhD

The University of Manchester, Manchester, United Kingdom
Quality assurance / verification techniques, Languages and programs, Multi-Agent Systems, Machine Ethics

Bistra Dilkina

University of Southern California, Los Angeles, California, United States
integration of discrete optimization algorithms and machine learning, ML for combinatorial optimization, decision-focused learning

Christos Dimitrakakis

University of Neuchâtel, Neuchâtel, Switzerland

Esra Erdem, PhD

Sabanci University, İstanbul, Türkiye
Artificial intelligence, knowledge representation, automated reasoning, logic programming, robotics, planning

Piotr Faliszewski, PhD

AGH University of Krakow, Faculty of Computer Science Electronics and Telecommunications, Kraków, Poland
computer science, algorithms, computational social choice, computational complexity

Alessandro Farinelli, PhD

University of Verona, Verona, Italy
Robotics, Multi-Agent Systems, Reinforcement Learning

C. Lee Giles

The Pennsylvania State University, University Park, United States
Fields of specialization-Recurrent networks, symbolic processes, time series

Marco Gori

University of Siena, Siena, Italy
Fields of specialization, Pattern recognition, web computing, complexity of learning, integration of symbolic models with continuous learning systems

Gianluigi Greco, PhD

University of Calabria, Arcavacata di Rende, Italy

Quanquan Gu

University of California Los Angeles, Los Angeles, California, United States

Yuhong Guo, PhD

Carleton University, Ottawa, Ontario, Canada
supervised learning, semi-supervised learning, reinforcement learning, representation learning, adversarial learning, federated learning, continual learning, machine learning, computer vision

Patrik Haslum

Australian National University, Canberra, Australia

Malte Helmert

University of Basel, Basel, Switzerland

Willem-Jan van Hoeve, PhD

Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Operations Research, Constraint Programming, Mathematical Optimization, Integer Programming, Vehicle Routing, Scheduling, Network Design

Xuanjing Huang

Fudan University, Shanghai, China

Luca Iocchi, PhD

University of Rome La Sapienza, Rome, Italy

Jing Jiang, PhD

Australian National University, Canberra, Australia
natural language processing, text mining, machine learning, social media analysis

Meir Kalech, Professor

Ben-Gurion University of the Negev, Be'er Sheva, Israel
Artificial Intelligence, Model-Based Diagnosis, Multi-Agent Systems, AI for Software Engineering

Irwin King

The Chinese University of Hong Kong, Hong Kong, Hong Kong
Machine learning, Social computing, Data mining, Information retrieval

James Kwok

The Hong Kong University of Science and Technology, Hong Kong, Hong Kong
Fields of specialization - Machine learning, data mining

Maurizio Lenzerini, PhD

University of Rome La Sapienza, Rome, Italy
Data modelling, knowledge, representation and reasoning techniques

Jiaoyang Li, PhD

Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
multi-agent planning

Alessio Lomuscio, PhD

Imperial College London, London, United Kingdom

Mingsheng Long

Tsinghua University, Beijing, China

Emiliano Lorini

Toulouse Institute of Computer Science Research, Toulouse, France

Carsten Lutz, PhD

University of Bremen, Bremen, Germany

Ines Lynce, PhD

University of Lisbon Higher Technical Institute, Lisboa, Portugal
Artificial Intelligence, Automated Reasoning, Constraint Programming, Automated Planning

Nicholas Mattei, PhD

Tulane University, New Orleans, Louisiana, United States
Artificial Intelligence, Computational Social Choice, Algorithms, Preferences, Decision Making

Denis Mauá, PhD

University of Sao Paulo Institute of Maths and Statistics, Department of Computer Science, São Paulo, Brazil
probabilistic logic programming, probabilistic graphical model, probabilistic reasoning, knowledge compilation, tractable probabilistic models, neurosymbolic reasoning, bayesian networks

Tomasz P. Michalak, PhD

University of Warsaw, Warsaw, Poland
computer science

Henryk Michalewski

DeepMind Technologies Ltd, London, United Kingdom

Tim Miller, PhD

The University of Melbourne, Melbourne, Victoria, Australia

Vincent Ng, PhD

The University of Texas at Dallas, Richardson, Texas, United States

Frans Oliehoek

Delft University of Technology, Delft, Netherlands

Sinno Jialin Pan, PhD

The Chinese University of Hong Kong, Hong Kong, Hong Kong
Machine learning

Andrea Passerini, PhD

University of Trento, Trento, Italy

Hamid Rezatofighi, PhD

Monash University, Melbourne, Victoria, Australia
Computer Vision, Vision for robotics, 3D Vision

Louis-Martin Rousseau, PhD

Polytechnique Montréal, Montreal, Quebec, Canada
Operations Research, Combinatorial Optimisation.

Horacio Saggion, PhD

Pompeu Fabra University, Barcelona, Spain
Natural Language Processing, Text Summarization, Text Simplification, Text Accessibility, Text Readability, Sign Language, Information Extraction, NLP Evaluation

Sebastian Sardiña, PhD

RMIT University, Melbourne, Victoria, Australia
AI, Knowledge Representation, Automated Planning

Renate Schmidt, PhD

The University of Manchester, Manchester, United Kingdom
Computer science, Artificial Intelligence, Knowledge representation and reasoning, Automated reasoning, Computational logic

Martina Seidl, PhD / Prof. Dr.

Johannes Kepler University Linz, Linz, Austria
Symbolic AI, Automated Reasoning, QBF, Software Verification

Nisarg Shah, PhD

University of Toronto, Toronto, Ontario, Canada
Algorithmic Fairness, Computational Social Choice, Multiagent Systems, Fair Division, Voting Theory, AI Safety, Cooperative AI

Chunhua Shen

Zhejiang University, Hangzhou, Zhejiang, China

Yangqiu Song, PhD

The Hong Kong University of Science and Technology, Hong Kong, Hong Kong
Natural Language Processing, Knowledge Graphs

Peter J. Stuckey, PhD

Monash University, Melbourne, Victoria, Australia
Artificial Intelligence, Discrete Optimisation, Programming Languages

Long Tran-Thanh, PhD

University of Warwick, Coventry, United Kingdom
Online learning, game theory, multi-agent systems, Artificial Ingelligence

Ivan Varzinczak, Doctorate

Sorbonne North Paris University, Villetaneuse, France

Hao Wang, PhD

Rutgers University Newark, Newark, New Jersey, United States
Machine learning

Carsten Witt, PhD

Technical University of Denmark, Kongens Lyngby, Denmark
Theory of Evolutionary Computation

Stefan Woltran

TU Wien University, Vienna, Austria

Zhihua Zhang, PhD

Peking University, Beijing, China
machine learning, Machine learning

Wei-Shi Zheng, PhD

Sun Yat-Sen University, Guangzhou, Guangdong, China
computer vision, pattern recognition, AI Robotic Learning, Imitation Learning, Human in the loop

Ofra Amir, PhD

Technion Israel Institute of Technology, Haifa, Israel
Human-agent interaction, Explainable Artificial Intelligence, Human-computer interaction

Carlos José Ansótegui Gil, PhD

University of Lleida, Lleida, Spain
Automated Reasoning, Constraint programming, Satisfiability

Ringo Baumann, Prof. Dr.

Leipzig University, Leipzig, Germany
Formal Argumentation, Formal Logic, Formal Ontology

Francesco Belardinelli, PhD

Imperial College London, London, United Kingdom
Logic-based formalisms for AI, Safe AI, Formal Methods

Wendelin Böhmer, PhD

Delft University of Technology, Delft, Netherlands
Deep Reinforcement Learning, Generalization in Neural Networks, Uncertainty in Neural Networks

Richard Booth, PhD

Cardiff University, Cardiff, United Kingdom
Knowledge Representation and Reasoning, Belief Revision

Zied Bouraoui

Artois University, Arras, France
Machine Learning, NLP, Knowledge representation

Pedro Cabalar, PhD

University of A Coruña, A Coruña, Spain
Artificial Intelligence, Knowledge Representation, Logic Programming, Computational Logic

Jesus Cerquides, PhD

Artificial Intelligence Research Institute, Bellaterra, Spain
Machine Learning, Probabilistic learning, Causality, Bayesian learning

Jianlin Cheng, PhD

University of Missouri, Columbia, Missouri, United States
Fields of specialization-Deep learning, bioinformatics, artificial intelligence, machine learning

Amanda Coles, PhD

King's College London, London, United Kingdom

Jesse Davis

KU Leuven, Leuven, Belgium

Marina De Vos, PhD

University of Bath, Bath, United Kingdom
Normative agent systems/KR, Legal Reasoning, answer set programming

Michelangelo Diligenti, PhD

University of Siena, Siena, Italy
Neurosymbolic AI with Neural Networks

Xiuyi Fan, PhD

Nanyang Technological University, Singapore, Singapore
Computational Argumentation, Uncertainty Estimation, Digital Health, Explainable AI

Fei Fang

Carnegie Mellon University, Pittsburgh, Pennsylvania, United States

Yang Feng, Dr.

Chinese Academy of Sciences, Beijing, China
Natural Language Processing, Machine Translation, large language model

Ferdinando Fioretto, PhD

University of Virginia, Charlottesville, Virginia, United States
Constraint Satisfaction, Machine Learning, Privacy, Fairness, trustworthy AI, Optimization

Michele Flammini, PhD

Gran Sasso Science Institute, L'Aquila, Italy
Algorithmic game theory, Computational Social Choice

Alex Fukunaga

The University of Tokyo, Bunkyo City, Japan

Wei Gao, PhD

Nanjing University, Nanjing, China
Learning Theory

Martin Gebser, PhD

University of Klagenfurt, Klagenfurt am Wörthersee, Austria
KRR, Declarative problem solving, Answer set programming

Umberto Grandi

University Toulouse Capitole, Toulouse, France

Davide Grossi, PhD

University of Groningen, Groningen, Netherlands
Logics for AI, computational social choice, algorithmic game theory

Barbara Hammer

Bielefeld University, Bielefeld, Germany
SOMs, LVQ, Learning theory, Bioinformatics, Recurrent neural networks

Frank van Harmelen, PhD

VU Amsterdam, Faculty of Sciences, Amsterdam, Netherlands
Knowledge Representation, Ontologies, neuro-symbolic AI

Fredrik Heintz

Linköping University, Linköping, Sweden

Yufang Hou

IBM Research Europe - Ireland, Dublin, Ireland
Natural Language Processing, Discourse, Scientific Document Processing and Argument Mining

Enda Howley, B.Sc, PhD

University of Galway, Galway, Ireland
Reinforcement Learning

Sheng-Jun Huang

Nanjing University of Aeronautics and Astronautics, Nanjing, China
active learning

Shujian Huang

Nanjing University, Nanjing, China
Natural Language Processing, Machine Translation and Multilingualism

Alexey Ignatiev, PhD

Monash University, Melbourne, Victoria, Australia
Satisfiability, Computational Logic, Automated Reasoning, Explainable Artificial Intelligence

Michael Kaisers, PhD

DeepMind Technologies Ltd, London, United Kingdom
multiagent reinforcement learning

Erez Karpas

Technion Israel Institute of Technology, Haifa, Israel

Sébastien Konieczny, PhD

CNRS Hauts-de-France Delegation, Lille, France
Knowledge Representation and Reasoning

Akshat Kumar

Singapore Management University, Singapore, Singapore

Matteo Leonetti, PhD

King's College London, London, United Kingdom
Reinforcement Learning, Autonomous Robots

Yu-Feng Li, PhD

Nanjing University School of Artificial Intelligence, Nanjing, China
Fields of specialization - Weakly supervised learning, Semi-supervised learning

Guosheng Lin

Nanyang Technological University, Singapore, Singapore

Viliam Lisý, PhD

Czech Technical University in Prague, Prague, Czech Republic
Game Theory, Multiagent Reinforcement Learning, Cybersecurity, LLM Agents

Fei Liu

Emory University, Atlanta, Georgia, United States
Large Language Models, Automatic Summarization, Generative AI, Natural Language Processing

Wei Liu, PhD

Tencent, Shenzhen, China
Statistical machine learning, deep learning, reinforcement learning, computer vision, pattern recognition, big data, information retrieval, AI.

Brian Logan

University of Aberdeen, Aberdeen, United Kingdom
Multi-Agent Systems, KR

Michele Lombardi, PhD in Computer Science and Engineering

University of Bologna, Bologna, Italy
Constrained Optimization, Machine Learning, Scheduling, Artificial Intelligence, Combinatorial Optimization

Manuel López-Ibáñez, PhD

The University of Manchester Alliance Manchester Business School, Manchester, United Kingdom
Mathematical optimization, Combinatorial optimization, Multi-objective optimization, Automatic algorithm configuration, Heuristics, Local search, Evolutionary algorithms, Swarm intelligence.

A. Rupam Mahmood, PhD

University of Alberta, Edmonton, Alberta, Canada
Reinforcement Learning, Robotics, Continual learning

Marco Maratea, PhD

University of Calabria, Arcavacata di Rende, Italy
Planning, Answer-Set Programming, Satisfiability

Pasquale Minervini, PhD

The University of Edinburgh, Edinburgh, United Kingdom
Natural Language Processing, Neuro-Symbolic Integration, Machine Learning

Christian Muise

Queen's University, Kingston, Ontario, Canada

Brendan O'Donoghue, PhD

DeepMind Technologies Ltd, London, United Kingdom
Reinforcement Learning, Convex Optimization, Deep Learning

Magdalena Ortiz

TU Wien University, Vienna, Austria

Fabio Patrizi

University of Rome La Sapienza, Rome, Italy

Federico Pecora, PhD

Amazon Robotics LLC, North Reading, Massachusetts, United States
Planning, Scheduling, Robotics, Constraint-Based Reasoning

Wojciech Penczek, PhD

Polish Academy of Sciences Institute of Computer Sciences, Sopot, Poland
Logical foundations of artificial intelligence, Specification and verification of systems

Gauthier Picard, PhD, Hab.

ONERA Toulouse, Toulouse, France
Multi-agent systems, distributed optimisation, constraint reasoning, resource allocation

Chi-Man Pun, PhD

University of Macau, Taipa, Macau
Image Processing and Pattern Recognition, Multimedia and AI Security

Jiajun Zhang, PhD

Chinese Academy of Sciences Institute of Automation, Beijing, China
Natural Language Processing, Machine Translation, Large Language Models

Dongruo Zhou, PhD

Indiana University Bloomington, Bloomington, Indiana, United States
Machine learning

Joey Tianyi Zhou, PhD

A STAR Centre for Frontier AI Research, Singapore, Singapore
machine learning, Dataset Condensation, Transfer Learning

Difan Zou, PhD

The University of Hong Kong, Hong Kong, Hong Kong
Machine Learning, Deep Learning

All members of the Editorial Board have identified their affiliated institutions or organizations, along with the corresponding country or geographic region. Elsevier remains neutral with regard to any jurisdictional claims.