4.9
Impact Factor

5.4
Impact Factor

Gender diversity of editors and editorial board members
Data represents responses from 86% of 57 editors and editorial board members
57 editors and editorial board members in 25 countries/regions
 
  1. United States (9)
  2. Italy (7)
  3. China (6)

Prof. Dr. Binshan Lin, PhD

Louisiana State University Shreveport, Shreveport, Louisiana, United States
Data Analytics, Information Systems, Machine Learning, Business Intelligence, Data Science

Professor Paulo Ricardo Lisboa de Almeida, PhD

Federal University of Parana, Curitiba, Brazil
Machine learning, Concept drift, Dynamic classifier selection, Ensembles, Computer vision

Dr. Hadis Anahideh, PhD

University of Illinois Chicago, Department of Mechanical and Industrial Engineering, Chicago, Illinois, United States
Machine learning, Black-box optimization, Algorithmic fairness, Bayesian optimization

Prof. Dr. Xiao Bai, PhD

Beihang University School of Computer Science and Engineering, Beijing, China
Computer Vision, Stereo Vision, Pattern Recognition, 3D Vision

Assist. Prof. Dražen Bajer, PhD

Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering Computer Science and Information Technology, Osijek, Croatia
Evolutionary computation, Swarm intelligence, Classical machine learning

Dr. Ariel E. Baya, PhD

National Scientific and Technical Research Council, Buenos Aires, Argentina
Machine learning, Non-supervised learning, Clustering, Custering validation, Computer vision

Dr. Yolanda Blanco-Fernandez, PhD

University of Vigo Research Center for Telecommunication Technologies, Vigo, Spain
Semantic web, Intelligent systems, linked open data, Natural processing language, Cloud-based mobile augmentation, Crowd computing, Machine learning, VANETs, Deep learning, Personalisation systems, E-learning, Vehicular networks

Professor Thierry Bouwmans, PhD

La Rochelle University, La Rochelle, France
Background Subtraction, Foreground Detection, Background Modeling, Machine Learning

Dr. Irene Brito, PhD

University of Minho, Department of Mathematics, Braga, Portugal
General relativity, Mathematical modelling, Data science, Risk theory, Clustering

Professor Luca Cagliero, PhD

Polytechnic of Turin, Department of Control and Computer Engineering, Turin, Italy
Natural Language Processing, Machine Learning, Data Science

Professor Guglielmo Maria Caporale, MSc, PhD

Brunel University London, London, United Kingdom
International finance, Monetary and financial economics, Macroeconomics, Econometrics

Dr. Jyotismita Chaki, PhD

Vellore Institute of Technology, Vellore, Tamil Nadu, India
Machine Learning, Artificial Intelligence, Neural networks, Fuzzy systems, Neuro-fuzzy systems, Deep learning, Image processing, Pattern recognition, Medical Imaging

Prof. Dr. Vincent Charles, PhD

Pontifical Catholic University of Peru CENTRUM Graduate Business School, Lima, Peru
Management Science, Artificial Intelligence, Data Science, Big Data

Dr. Dmytro Chumachenko, PhD

National Aerospace University Kharkiv Aviation Institute, Kharkiv, Ukraine
Agent-based modelling, Machine learning, Time-series analysis, Forecasting, Data-driven medicine

Professor Anna Corazza, PhD

University of Naples Federico II, Department of Electrical Engineering and Information Technology, Naples, Italy
Natural language processing, Machine learning, Statistical models, data science, information retrieval, machine learning in medicine, machine learning in software engineering

Dr. Antonio D'Ambrosio, PhD

University of Naples Federico II, Naples, Italy
Data science including statistical learning, data mining, supervised classification, clustering, linear and non-linear regression, unsupervised learning, statistic computing, data driven optimization, preference learning including preference rankings theory and modeling, rank aggregation methods

Prof. Dr. Pierpaolo D'Urso, PhD

University of Rome La Sapienza, Department of Social and Economic Sciences, Rome, Italy
fuzzy clustering, clustering of spatial data, clustering of time series, clustering of spatio-temporal data, clustering of complex structures of data, imprecise data science

Professor Zhi-Hong Deng, PhD

Peking University School of Electronics Engineering and Computer Science, Beijing, China
Machine learning, Natural language processing, Data mining

Dr. Agostino Forestiero, PhD

National Research Council, Rome, Italy
Computational Intelligence, eHealth, Internet of Things, Cybersecurity, swarm intelligence, explainable AI, Internet of Things, multi-agent systems

Professor Liang Gao, PhD

Huazhong University of Science and Technology, Wuhan, Hubei, China
Machine learning, Optimization, Scheduling, Topology optimization

Dr. Tatiana Gherman, PhD

University of Northampton, Northampton, United Kingdom
Artificial intelligence, Machine learning, Natural language processing, Big data, Soft/behavioural operations management, Business intelligence

Dr. Yulin He, PhD

Guangdong Laboratory of Artificial Intelligence and Digital Economy Shenzhen, Shenzhen, China
Big Data Computing Technologies, Data Mining and Machine Learning Algorithms

Dr. Hajar Homayouni, PhD

San Diego State University, Department of Computer Science, San Diego, California, United States
Machine learning, Data science, Data quality assurance, Anomaly detection

Dr. Jiman Hong, PhD

Soongsil University School of Computer Science and Engineering, Seoul, Korea, Republic of
Wireless sensor networks, Embedded systems, Internet of things, Cloud computing, Security, Machine learning, Mobile computing, Tiny OS, Distributed computing, Virtualization

Dr. Shi-Ming Huang, PhD

National Chung Cheng University, Minxiong, Taiwan
Computer auditing, Data science, Regtech, AI for SDGs, Accounting Information System, Machine Learning in Accounting

Dr. Carmela Iorio, PhD

University of Naples Federico II, Naples, Italy
Machine learning, Data mining, Linear and non-linear regression, Supervised and unsupervised learning, Time series analysis, Statistics for finance

Dr. Xinglong Ju, PhD

Southern Utah University, Cedar City, Utah, United States
Artificial Intelligence, Data Mining, Optimization, Statistical Modeling

Prof. Dr. Jan Komorowski, PhD, Docent

Uppsala University, Department of Cell and Molecular Biology, Uppsala, Sweden
ML in Life Sciences, especially Explainable and interpretable ML, Genomics, Viral diseases

Professor Sathish Kumar, PhD

Cleveland State University, Cleveland, Ohio, United States
Machine learning, Natural language processing, Deep learning

Dr. Salim Lahmiri, PhD

Concordia University, Department of Supply Chain and Business Technology Management, Montreal, Quebec, Canada
Data science, Data analytics, Signal processing, Intelligent systems, Pattern recognition, Deep learning and real-world applications, Applications of chaos theory and fractals, Image processing, Speech recognition, Forecasting, Artificial Intelligence, Predictive Analytics

Assoc. Professor Weng Siew Lam, PhD, CMILT

Tunku Abdul Rahman University, Faculty of Science, Kampar, Malaysia
Data Analytics, Machine Learning, Optimization, Statistical Modelling

Assist. Prof. Ngan Le, PhD

University of Arkansas, Fayetteville, United States
Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Image Understanding, Biomedical Imaging, Computer Graphics

Prof. Dr. Ickjai Lee, PhD

James Cook University - Cairns Campus, Cairns, Queensland, Australia
Data mining, Geo-computation, Trajectory mining, Applied machine learning

Dr. Luis Leiva, PhD

University of Luxembourg, Esch-sur-Alzette, Luxembourg
Machine Learning, Human-Computer Interaction, Bio- signal processing

Dr. Feng Liu, PhD

Stevens Institute of Technology, Department of Systems and Enterprises, Hoboken, New Jersey, United States
Brain computer interface, Brain imaging, Machine learning

Dr. Yuan Long, PhD

Georgia State University, Department of Computer Information Systems, Atlanta, Georgia, United States
Deep Learning for Business Decisions, FinTech, High Performance Computing, Unstructured Data Analytics

Dr. Francesco Mercaldo, PhD

University of Molise, Campobasso, Italy
Cybersecurity, Malware analysis, Computer vision

Dr. Yalda Mohsenzadeh, PhD

Western University, Department of Computer Science, London, Ontario, Canada
Computer vision, Machine learning, Cognitive computational neuroscience, brain imaging data analysis methods, EEG/MEG/fMRI

Dr. Elena Montañés, PhD

University of Oviedo, Oviedo, Spain
Machine learning, Data mining, Classification, Regression

Dr. Damijan Novak, PhD

University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia
Machine learning, Game agents, Game domain, Reinforcement learning

Dr. Joanna Isabelle Olszewska, Dr

University of the West of Scotland School of Computing Engineering and Physical Sciences, Paisley, United Kingdom
Artificial intelligence, Knowledge representation, Trustworthy software, Autonomous systems, Intelligent vision systems

Prof. Dr. Aytuğ Onan, PhD

Izmir Institute of Technology, Department of Computer Engineering, İzmir, Türkiye
Natural language processing, Sentiment analysis, Deep learning, Machine learning, Ensemble learning

Dr. Zsuzsanna Onet-Marian, PhD

Babeş-Bolyai University, Faculty of Mathematics and Computer Science, Cluj-Napoca, Romania
Machine Learning, Data Mining, Search-Based Software Engineering, Software Defect Prediction, Association Rule Mining

Prof. Dr. María-Luisa Pérez-Delgado, PhD

University of Salamanca, Department of Computer Science and Automation, Salamanca, Spain
Image processing, Swarm-based methods, Routing problems, Deep learning

Prof. Dr. Biswajeet Pradhan, PhD

University of Technology Sydney, Sydney, Australia
Machine learning, spatial intelligence, geospatial information systems, spatial data mining, geoinformatics, neural networks

Dr. Syafeeza Ahmad Radzi, PhD

Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia
Artificial Intelligence, Machine Learning, Deep Learning, Pattern Recognition

Professor Roozbeh Razavi-Far, PhD

University of Windsor, Windsor, Ontario, Canada
Machine Learning, Data Science, Big Data Analytics, Intelligent Systems, Cyber-Physical Systems, and Cybersecurity

Dr. Cristina Requejo, PhD

ISEG Lisbon School of Economics and Management, Lisbon, Portugal
Network optimization, Machine learning and mathematical optimization, Data science and big data optimization, Operational research, ML applications to network optimization

Dr. Sriparna Saha, PhD

Indian Institute of Technology Patna, Patna, Bihar, India
Machine Learning, Deep Learning, Natural Language Processing, Text Mining, Bioinformatics, Multiobjective optimization, Biomedical information extraction, ,

Prof. Dr. Rubén San-Segundo, PhD

Polytechnic University of Madrid, Madrid, Spain
Speech technology, Wearable sensors, Human activity recognition, Signal processing, Accessibility, Machine learning, Deep learning

Dr. Avik Santra, PhD

Infineon Technologies AG, Neubiberg, Germany
Machine learning, Deep learning, Computer vision, Human machine interface, Sensor processing

Dr. Sobhan Sarkar, PhD

Indian Institute of Management Ranchi, Ranchi, India
Machine learning, Data Science, Operations Research, Data Analytics, Business Analytics

Dr. Guojie Song, PhD

Peking University, Beijing, China
Data mining, Social network analysis, Intelligent transportation system

Prof. Dr.-Ing. Ying Tan, PhD

Peking University, Beijing, China
Deep Neural Networks, Deep Learning, Swarm Intelligence, Fireworks Algorithms, Data Mining, Financial Predication, Computational intelligence, Swarm intelligence, Machine learning for FinTech, Data mining for big data

Professor Andrew Teoh, PhD

Yonsei University, Seodaemun-gu, Korea, Republic of
Machine Learning, Biometrics, Multimedia Security

Prof. Dr. habil. Marcin Wozniak, Full Prof., D.Sc., Ph.D., Eng.

Silesian University of Technology, Gliwice, Poland
Deep learning, fuzzy systems, heuristics, applications of machine learning, recurrent neural networks, convolutional neural networks, image processing, learning models, neural networks

Assist. Prof. Jing Yuan, PhD

University of North Texas, Department of Computer Science and Engineering, Denton, Texas, United States
Stochastic optimization, Social computing, Machine 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.

Dr. Binshan Lin is the BellSouth Corporation Professor and Director of Research at College of Business, Louisiana State University Shreveport. He received his Ph.D. from the Louisiana State University in 1988. He is a nine-time recipient of the Outstanding Faculty Award at LSUS. Dr. Lin receives the Computer Educator of the Year by the International Association for Computer Information Systems (IACIS) in 2005, Ben Bauman Award for Excellence in IACIS 2003, Distinguished Service Award at the Southwest Decision Sciences Institute (SWDSI) in 2007, SWDSI Outstanding Educator Award in 2004, and Emerald Literati Club Awards for Excellence in 2003. He has published over 280 articles in refereed journals since 1988. Dr. Lin serves as President of Southwest Decision Sciences Institute (2004-2005), President of Association for Chinese Management Educators (2003-2004), President of International Chinese Information Systems Association (2000), Program Chair of IACIS Pacific 2005 Conference in Taipei, Taiwan. In addition, he serves as a Vice President (2007-2009; 2010-2012) of Decision Sciences Institute (DSI).