The Multi-Disciplinary International Conference on Artificial Intelligence


Artificial Intelligence (AI) research has broad applications in real world problems. Examples include control, planning and scheduling, pattern recognition, knowledge mining, software applications, strategy games and others. The ever-evolving needs in society and business both on a local and on a global scale demanding better technologies for solving more and more complex problems. Such needs can be found in all industrial sectors and in any part of the world.

This conference aims to be a meeting place where excellence in AI research meets the needs for solving dynamic and complex problems in the real world. The academic researchers, developers, and industrial practitioners will have extensive opportunities to present their original work, technological advances and practical problems. Participants can learn from each other and exchange their experiences in order to fine tune their activities in order to help each other better. The main purposes of the MIWAI series of conference are:

  • – To provide a meeting place for AI researchers and practitioners.
  • – To inform research students about cutting-edge AI research via the presence of outstanding international invited speakers.
  • – To raise the standards of practice of AI research by providing researchers and students with feedback from an internationally-renowned program committee.


  • Theoretical Foundation: Cognitive Science; Computational Philosophy; Game Theory; Graphical Models; Knowledge Representation and Reasoning; Logic; Fuzzy Logic; Multi-agent Systems; Neurosciences; Probabilistic Reasoning; Qualitative Reasoning; Uncertainty
  • -Cognitive Computing: Affective Computing; Computer Vision; Natural Language Processing; Self-aware Systems; Speech Recognition; Social Cognition
  • -Computational Intelligence: Artificial Intelligence; Deep Learning; Evolutionary Computing; Machine Learning; Pattern Recognition; Planning and Scheduling; Social Computing; Swarm Intelligence
  • -AI Applications: Ambient Intelligence; Big Data Analysis; Biometrics; Bioinformatics; Brain Machine Interface; Chatbots; Creative Computing; Decision Support Systems; E-commerce; Energy Management; Health Assessment; Industrial Applications of AI; Intelligent Information Systems; Knowledge Management; Telecommunications and Web Services; Security and Privacy Management; Surveillance; Spam Filtering; Software Engineering; Social Networking Security; Semantic Web; Robotics; Recommender Systems; Sport and Rehabilitation; Virtual Reality & Augmented Reality



Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance, and clarity. Each paper should have no more than twelve (12) pages in the Springer-Verlag LNCS style. The authors’ names and institutions should not appear in the paper. Unpublished work of the authors should not be cited.


We still accept short papers for MIWAI 2021. They may present work in progress, providing an opportunity for sharing valuable ideas, eliciting useful feedback on early-stage work, and fostering discussions and collaborations among researchers interested in the broad area of artificial intelligence.

We encourage contributions presenting thought-provoking ideas and promising (preliminary) results in realizing them. We also encourage researchers and practitioners to submit reports on work in progress to discuss ongoing research, practical experience, challenges or issues related to artificial intelligence. Short papers should not exceed 8 pages in length and should not have been submitted for review or published elsewhere.


  • Arun Agarwal, University of Hyderabad, India
  • Rajkumar Buyya, University of Melbourne, Australia
  • Patrick Doherty, University of Linkoping, Sweden
  • Rina Dechter, University of California, Irive, USA
  • Leon Van Der Torre, University of Luxembourg, Luxembourg
  • Peter Haddawy, Mahidol University, Thailand
  • Jérôme Lang, University Paris-Dauphine, France
  • James F. Peters, University of Manitoba, Canada
  • Somnuk Phon-Amnuaisuk, UTB, Brunei
  • Srinivasan Ramani, IIIT Bangalore, India
  • C Raghavendra Rao, University of Hyderabad, India


MIWAI Previous Conference


Since 2011, The proceedings of MIWAI published by Springer in LNAI, a topical subseries of LNCS focusing on artificial intelligence (Indexed in the ISI Conference Proceedings Citation Index, Scopus, EI Engineering Index, Springerlink, DBLP, etc.).