10ᵗʰ International Research Conference onSmart Computing and Systems Engineering (SCSE)
University of KelaniyaSri Lanka

The papers published in SCSE 2019 - SCSE 2026 conferences are indexed in SCOPUS and available in IEEE Xplore Digital Library.

Themes

The SCSE 2027 conference invites papers from worldwide researchers in applied computing domains attempting to address myriad issues in business and society. The authors can submit their papers to one of the eight tracks, which are as follows:

Software Engineering

Continuous Integration/Continuous Deployment (CI/CD), micro services, cloud-native architectures, Design patterns & architectural style, Test Automation, DevSecOps

Artificial Intelligence

Machine Learning, Multi-Agent Systems, Big Data Analytics / Data Science, Image Analytics, Computer Vision, Artificial Neural Network & Deep Learning, Generative AI, Explainable AI

Health Analytics

Medical Imaging and Signal Analytics, Smart Clinical Systems,Wearable data analytics, Epidemic/pandemic forecasting, Smart medical training and rehabilitation, Virtual health assistants

Text Analytics

Natural Language Processing, Text Mining, Multilingual Text Analytics, Natural Language Generation, Large Language Models, Web Content Analysis

Smart Logistics and Supply Chain Solutions

Smart Warehousing and Inventory Systems, Digital Supply Chain Transformation, Smart Logistics and Multi modal Systems, Sustainable Supply Chain and Reverse Logistics, Distribution Management and Optimization, Smart Mobility and Intelligent Transport Systems, Freight Transport Solutions, Supply Chain Collaboration and Optimization

Industrial Engineering and Management

Industrial Engineering & Management, Smart Manufacturing and Industry 5.0Cybersecurity/information security, Information Systems, IT Strategy, IT Management

Smart Systems Engineering

Internet of Things (IoT), Robotics and Autonomous Systems, Augmented Reality (AR), Virtual Reality (VR), Blockchain Systems

IT and Education

Technology-Enhanced Learning (TEL), Virtual Learning Environments, Mobile Learning, Learning Analytics, Intelligent Tutoring Systems, AI-Powered Assessment and Feedback, Smart Classrooms and Learning Spaces

KEY NOTE SPEAKER

Professor Athula Ginige graduated with B.Sc. first class honours in Mechanical Engineering from the University of Moratuwa, Sri Lanka. In 1987 he won a Cambridge Commonwealth Scholarship to read for a PhD at the University of Cambridge where he developed a computer vision system for a robot working in a semi-structured environment. After finishing his PhD he joined the University of Technology, Sydney (UTS). At the time of leaving UTS he was an Associate Professor and the Head of Computer Systems Engineering Group. At UTS he conducted research in the field of Multimedia and Hypermedia Engineering. His work received international recognition and he was invited to join the Editorial Boards of IEEE Multimedia.

In 1998 Professor Athula joined the University of Western Sydney as Head of School and Professor of Information Technology. In 2001 he guest edited two special issues of IEEE Multimedia on Web Engineering, which provided the foundation for the evolvement of this new discipline area. At present he is researching Web Engineering, eTransformation and how to provide remote healthcare. He is also the Editor-in-Chief of The International Journal on Advances in ICT for Emerging Regions (ICTer) and an Associate Editor of the International Journal on Web Engineering.

Pre-Conference Workshops

Workshop 1: n8n for workflow automation

The workshop covers the fundamentals and practical applications of n8n for workflow automation, including workflow design, triggers, nodes, API integration, data processing, AI integration, and the development of automated and intelligent workflows.

Objectives

The workshop aims to enable participants to understand workflow automation concepts and develop practical skills in building automated workflows using n8n. Participants will learn to connect applications and services, process data, integrate APIs and AI tools, and design efficient end-to-end automation workflows.

Workshop 2: Agentic AI in MongoDB

The workshop covers the fundamentals and practical implementation of AI Agents using MongoDB, including LLMs, RAG, Vector Search, agent memory, knowledge retrieval, and tool integration. Participants will explore how MongoDB can support the development of intelligent, context-aware, and data-driven AI agent applications.

Objectives

The workshop aims to enable participants to understand AI Agent concepts and develop practical skills in building AI-powered applications using MongoDB. Participants will learn to use Vector Search, RAG, agent memory, knowledge retrieval, and tool integration to design intelligent and context-aware AI agents.

Arrangements

The workshops will be conducted for 100 physical participants. The necessary resources, facilities, and workshop materials will be provided to support an effective hands-on learning experience.

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