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  • Writer's pictureVishnupriya murugesan

The International Conference on Intelligent Systems Design and Applications (ISDA)

Welcome to ISDA 2022!

The International Conference on Intelligent Systems Design and Applications (ISDA) is a major international conference bringing together researchers, engineers, and practitioners who work in the areas of intelligent systems and its applications in industry and the real world. Every year, ISDA attracts authors from over 30 countries. After the success of the 21st conference, which was held online, this year's event will be held during December 12-14, 2022.

ISDA 2022 is expected to provide an opportunity for researchers to meet and discuss the latest solutions, scientific results and methods in solving intriguing problems in the fields of artificial intelligence and its real world applications. The conference programme will include workshops, special sessions and tutorials, along with prominent keynote speakers and regular paper presentations in parallel tracks. All submitted papers will be reviewed by experts in the field based on the criteria of originality, significance, quality and clarity. Conference contents will be submitted for inclusion in Springer as well as other Abstracting and Indexing (A&I) databases.

ISDA 2022 - Organizing Chairs


The International Conference on Intelligent Systems Design and Applications (ISDA) is a major annual international conference bringing together researchers, engineers, developers and practitioners from academia and industry working in all interdisciplinary areas of computational intelligence and system engineering to share their experience, and exchange and cross-fertilize their ideas. The first day will include tutorials and workshops, organized by leading experts in the field. Proceedings are expected to be published by Springer Verlag in one of the series. Details will be available soon. Papers maximum length is 10 pages. - Papers must be formatted according to Springer format (Latex/word). Topics A. Intelligent Systems Architectures and Applications (but not limited to):

  • Artificial Neural Networks

  • Mathematical foundations of neural networks

  • Architectures and algorithms

  • Learning theory (supervised/ unsupervised/ reinforcement learning)

  • Knowledge based networks

  • Implementation issues of neural networks

  • Support Vector Machines

  • Neural network applications

  • Fuzzy Systems, fuzzy logic and possibility theory

  • Fuzzy expert systems

  • Fuzzy system design using evolutionary algorithms

  • Fuzzy system modeling and simulation

  • Fuzzy systems and applications

  • Evolutionary Algorithms

  • Genetic algorithms, evolution strategies, genetic programming and evolutionary programming

  • Learning Classifiers

  • Hybrid evolutionary algorithms

  • Evolutionary algorithms and applications

  • Fusion of neural network- fuzzy systems

  • Fusion of fuzzy systems- evolutionary algorithms

  • Fusion of neural network  evolutionary algorithms

  • Fusion of neural network- fuzzy systems- evolutionary algorithms

  • Intelligent agents (architectures, environments, adaptation/ learning and knowledge management)

  • Bayesian networks and probabilistic reasoning

  • Rough sets

  • Statistical learning techniques

  • Fusion of statistical methods and soft computing techniques

  • CAD systems

  • Intelligent optimization techniques

  • Intelligent techniques in Bioinformatics

B. Intelligent Image and Signal Processing (but not limited to):

  • Design and implementation of intelligent signal processing systems

  • Image, video and multidimensional signal processing

  • Multimedia signal processing

  • Speech processing

  • Features and classification

  • Texture analysis

  • Document analysis

  • Stereoscopic vision

  • Shape processing

  • Object recognition

  • Image and video retrieval

  • Image and video compression

C. Intelligent Internet Modeling (but not limited to):

  • Web intelligence

  • Search engines

  • Information retrieval (web mining)

  • Database querying

  • Ontology

  • XML mining

  • Intelligent networking between Web Sites

  • Network security, intrusion detection

  • Information aggregation and fusion

  • Interaction with intelligent agents

  • Intelligent agents and interfaces for personalization and adaptivity

  • Intelligent tutoring systems on the WWW

  • Adaptive hypermedia systems

  • Agents for digital cities, virtual communities and agent societies

D. Intelligent Data mining (but not limited to):

  • Discovering patterns in continuous data

  • Uncertainty management for data mining

  • Clustering algorithms and applications

  • Classification trees

  • Mining time series