Track
AISEIS recognizes outstanding doctoral research across the following tracks:
- Artificial Intelligence & Machine Learning
Focuses on the development of intelligent systems and foundational AI methodologies:
- Generative AI and Large Language Models (LLMs)
- Computer Vision and Spatial Intelligence
- Explainable Artificial Intelligence (XAI)
- Edge AI and Intelligent Hardware Systems
- Software Engineering & Systems
Emphasizes the design, development, and maintenance of complex software systems:
- AI-driven Software Engineering (automation, testing, code generation)
- Digital Twins and Large-Scale System Modeling
- Software Security and Cyber Resilience
- Cyber-Physical Systems
- Virtual Systems & Digital Twins
Covers advanced virtual environments and infrastructure modeling:
- Digital Twin Architecture for smart cities and infrastructure
- Immersive Technologies (VR/AR) for industry, education, and healthcare
- Micro-to-Nano Intelligent Systems and Communication Technologies
- Information Systems & Governance
Explores the organizational and societal impact of technology:
- Governance of Spatial Information Systems
- Big Data Analytics and Data Engineering
- Natural Language Processing for Regional and Low-Resource Languages
- Information Systems Risk Management and IT Governance