Aims and scope

Cybernetics is concerned with describing complex interactions and interrelationships between systems which are omnipresent in our daily life. Machine Learning discovers fundamental functional relationships between variables and ensembles of variables in systems. The merging of the disciplines of Machine Learning and Cybernetics is aimed at the discovery of various forms of interaction between systems through diverse mechanisms of learning from data. 

The International Journal of Machine Learning and Cybernetics (IJMLC) focuses on the key research problems emerging at the junction of machine learning and cybernetics and serves as a broad forum for rapid dissemination of the latest advancements in the area. The emphasis of IJMLC is on the hybrid development of machine learning and cybernetics schemes inspired by different contributing disciplines such as engineering, mathematics, cognitive sciences, and applications. New ideas, design alternatives, implementations and case studies pertaining to all the aspects of machine learning and cybernetics fall within the scope of the IJMLC. 

Key research areas to be covered by the journal include:

  • Machine Learning for modeling interactions between systems
  • Pattern Recognition technology to support discovery of system-environment interaction
  • Control of system-environment interactions 
  • Biochemical interaction in biological and biologically-inspired systems
  • Learning for improvement of communication schemes between systemsM

Journal metrics

Editors-in-Chief
  • Xi-Zhao Wang, 
  • Daniel S. Yeung



Article process charges: $1,000.00 USD

Journal Impact Factor: 3.1 (2023)
5-year Journal Impact Factor: 3.6 (2023)
Submission to publication (median)15 days
Downloads
404,546 (2024)

Editorial board

Editors-in-Chief

Xizhao Wang, PhD, Shenzhen University, China
Daniel S. Yeung, PhD, IEEE Systems Man and Cybernetics Society, Hong Kong

Associate Editors

Mohammad Aghababa, PhD, Urmia University of Technology, Iran
Patrick Chan, PhD, South China University of Technology, China
Rohitash Chandra, PhD, UNSW Sydney, Australia
Degang Chen, PhD, North China Electric Power University, China
Yiqiang Chen, PhD, Chinese Academy of Sciences, China
Hongtao Xie, PhD, University of Science and Technology of China, China
Laizhong Cui, PhD, Shenzhen University, China
Chenwei Deng, PhD, Beijing Institute of Technology, China
Ambra Demontis, PhD, University of Cagliari, Italy
Xiaozhi Gao, PhD, University of Eastern Finland, Finland
Ziyu Guan, PhD, Xidian University, China
Lifang He, PhD, Lehigh University, USA
Mustafa Kiran, PhD, Konya Technical University, Turkey
Zhihui Lai, PhD, Shenzhen University, China
Jinhai Li, PhD, Kunming University of Science and Technology, China
Ke Li, PhD, University of Exeter, United Kingdom
Hongmin Liu, PhD, Zhengzhou University, China
Zhiwei Liu, PhD, Salesforce AI Research, USA
Huimin Lu, PhD, Kyushu Institute of Technology, Japan
Marco Morana, University of Palermo, Italy
Jérôme Morio, Dr.-Ing, Office National d'Études et de Recherches Aérospatiales, France
Wing Ng, PhD, South China University of Technology, China
Yongping Pan, PhD, National University of Singapore, Singapore
Hao Peng, PhD, Beihang University, China
Pasindu Piumal, PhD, UNSW Sydney, Australia
Farhad Pourpanah, PhD, University of Windsor, Canada
K.C. Santosh, PhD, University of South Dakota, USA
M. Tanveer, PhD, Indian Institute of Technology Indore, India
Eric Tsang, PhD, Macau University of Science and Technology, Macau
Xuesong Wang, PhD, China University of Mining and Technology, China
Weizhi Wu, PhD, Zhejiang Ocean University, China,
Haoran Xie, PhD, Lingnan University, Hong Kong
Hongjie Xing, PhD, Hebei University, China
Ruifeng Xu, PhD, Harbin Institute of Technology, China
Weihua Xu, PhD, Southwest University, China
Dario Zanca, PhD, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
Jing Zhao, PhD, East China Normal University, China
Wei Zhao, PhD, Xidian University, China
Eddie Cheng, PhD, Oakland University, United States
Erik Cuevas-Jimenez, PhD, University of Guadalajara, Mexico
Daoyi Dong, PhD, University of New South Wales, Australia
Guangbin Huang, PhD, Nanyang Technological University, Singapore
Joshua Ignatius, PhD, Aston Business School, United Kingdom
Yanfei Lan, PhD, Tianjin University, China
Jian Wang, PhD, China University of Petroleum, China
Feng Liu, PhD, The University of Melbourne, Australia
Maura Pintor, PhD, University of Cagliari, Italy

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