The International Conference on Computer and Knowledge Engineering (ICCKE) is an annual conference sponsored by and held at the Ferdowsi University of Mashhad. The ICCKE provides a forum for scientists and engineers in various fields of Computer and Knowledge Engineering domain to share their original work. This year, ICCKE2026 aims to bring together researchers and practitioners in various fields of the domain both online and in-person. In addition to keynote speeches and research paper presentations, there will be workshops relevant to both academia and the industry.
The scope of the ICCKE2026 includes (but not limited to) the following major topics:
Machine Vision and Applications
• Image Processing and Computer Vision
• Medical Image Processing
• Visual Recognition: Categorization, Detection and Indexing
• Video Analysis and Processing
Machine Learning*
• Machine Learning
• Neural Networks and Deep Learning
• Reinforcement Learning
• Pattern Recognition and Signal Processing
• Soft Computing and Evolutionary Computation
Speech and Language Processing
• NLP and Large Language Models
• Speech and Audio Processing
Software and Knowledge Engineering
• Computational Geometry
• Human Computation and Crowdsourcing Systems
• Software Engineering
• Semantic Web
• Bioinformatics
• Data Analytics
• Requirements Engineering
• Software Quality and Testing
Computer Network and Security
• Data and Network Security
• Cryptography
• Post-Quantum Cryptography
• Trust Management and Soft Security
• Blockchain
• Distributed Systems
• Wireless Ad-hoc and Sensor Networks
• Cellular Networks
• Applications of ICT in Smart Grid
• Internet of Things
• Smart City and Smart Telecommunication
Computer Architecture and Digital Design
• Parallel Programming and Architectures
• Domain-Specific Architectures
• Digital System Design
• Dependable and Real-time Embedded Systems
Computing Systems
• High-Performance Computing
• Could, Edge, and Fog Computing
• Parallel Computing
• Grid Computing
• Energy-Aware Computing
*Please submit articles on deep learning and machine learning applications to the relevant field, not to the machine learning track.
Paper Submission
Researchers are encouraged to submit original full papers on their latest work. Submitted papers must not have been published elsewhere, nor be under review by another conference or journal. Full papers will be reviewed by expert referees to ensure high quality and relevance to the conference. All submissions should be written in English with a maximum of six A4-sized pages.
No modifications to the authorship or author sequence are allowed after the paper submission deadline.
Paper Presentation
Accepted papers must be presented by the author(s) in order to be eligible for publication in the conference proceedings. All presentations will be in English and can be done either online or in-person. There are some limited registration grants for authors of outstanding papers, which will be awarded after notification of acceptance.
