We encourage the submission of high-quality papers reporting original work in both theoretical and experimental research in computing. The following tracks are hereby solicited.
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Artificial Intelligence and Machine Learning : Machine Learning, Deep Learning & AI, Fuzzy Logic and Fuzzy Systems, Hybrid Intelligent Systems, Information Retrieval, Robotics, Soft Computing and Applications, Probabilistic Reasoning, Evolutionary Computing, Hybrid Intelligent Systems, Software Agents, Soft Computing Theory and Applications, Web Intelligence Applications & Search.
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Data Science and Applications : Natural Language Processing, Sentiment Analysis, Statistics, Data Storage, Management and Innovation, Big Data Analytics, Business Analytics, Data Science Techniques for Handling Epidemics and Pandemics.
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Parallel and Distributed Computing : Parallel Algorithms, Parallel and Distributed Micro-Architectures, Performance Modelling for Parallel and Distributed Processing, Parallel and Distributed Programming Models, Middleware and System Software, Applications in Blockchain and Cryptocurrency, Bioinformatics, Cybersecurity, Computer Networks and Cloud Computing.
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Human-Computer Interaction and Computer Vision : Human-computer Interaction, Speech, Graphic, Haptic and Multimodal Interaction, Cross-Cultural Design, Virtual, Mixed and Augmented Reality Interfaces and Systems, Artificial Intelligence in HCI, Image acquisition & Medical Image Processing, Pattern Recognition and Analysis, Visualization, Image Coding and Compression, Image and Video Analysis.
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Knowledge Management and Information Systems : Information Systems Management, Information Systems and Technology, Knowledge Acquisition and Management, Information Systems Security, Knowledge Base Systems, Business Intelligence and CRM, KM Strategies and Implementations Knowledge Management Projects, Tools and Technology for Knowledge Management.
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Software Engineering : Software Engineering Methodologies, SOA and Service-Oriented Systems, AI and software engineering, Testing and analysis, Empirical software Engineering, Software Evolution, Formal Methods Applied to Software Engineering, Social Aspects of Software Engineering, Requirements Modeling and Design, Dependability.
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Technology-enhanced Learning and Teaching : eLearning Specifications and Standards, Large-scale Learning Systems, Personalization, User Modelling and Adaptation, Computer-supported Collaborative Learning, Adaptive Learning Systems, Collaborative Knowledge Building, Digital Divide and Learning, Education Policies, Learning Analytics, New forms of e-Assessment, Learning Design and Aesign Approaches, Teaching Techniques and Strategies for Online Learning.
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Industry R&D : Research and Development works conducted by industry can be submitted here.
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Open : Computing research papers which are not categorized under the above tracks are welcomed here.
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All papers submitted to this conference will go through a double-blind peer review process handled by the programme committee. Acceptance will be based on originality, significance, technical soundness, presentation, and references. The conference programme committee makes the final decision on the acceptance or rejection of a paper. Papers submitted and presented at the conference will be published in conference proceedings, subject to their acceptance by the editorial board. Selected papers will be published in Sabaragamuwa University Journal of Computer Science.