Augmented Intelligence plays a significant role in automating the everyday activities of human lives. Augmented Intelligence not only creates new opportunities but also results in developing greater challenges in establishing the sustainable engineering applications. Augmented Intelligence assists the next generation real-time applications to reduce their environment and societal impact by improving the efficiency and developing new real-time models. Therefore, the further research exploration on understanding the relationship between augmented intelligence and sustainable systems will help to develop next-generation applications. To prioritize sustainable development, augmented intelligence is considered as a massive technological boost. Sustainability is the greatest challenge in a variety of areas like artificial intelligence, augmented/virtual reality, robotics, IoT, agriculture, health, transportation, etc. It is believed that augmented intelligence, data analytics and data science have significant roles to play in evidence based systems to support sustainability, as well as providing a tool to continuously monitor and achieve the sustainable engineering goals.

CALL FOR PAPER

ICAISS 2022 envisions the goal of gathering the researchers and participants from academia as well as industries to present their research ideas, innovations and applications to address a variety of sustainability challenges across various domains to discuss the opportunities and challenges on sustainable engineering, augmented intelligence and its supporting tools. The conference will focus on how the augmented intelligence is utilized in achieving the sustainable solutions by sharing innovative ideas and techniques via interdisciplinary research.

Track-1: Artificial Intelligence

• Artificial Immune Systems
• Cognitive Systems and Applications
• Computer Vision
• Fuzzy Computing and Intelligent Systems
• Multi-Agent Systems
• Neural Network Theory and Architectures
• Data Mining and Machine Learning Tools
• Pattern Recognition
• Knowledge-based Systems
• Artificial Life
• Advanced Optimization and Design
• Artificial Intelligence for Modeling and Simulation
• Evolutionary Computing Design
• Expert Systems
• Soft Computing

Track-2: Sustainable Systems

• Green Computing and Communication Systems
• Intelligent and Sustainable Networking
• Sustainable Development Goals
• Explainable Artificial Intelligence [XAI] for Sustainability
• Benchmarking Sustainability
• Green Data Centres
• Sustainable Supply Chain
• Sustainable Resource Scheduling, allocation, and management
• Energy Efficient Design and Implementation
• Cloud enabled AI for Sustainability
• AI on controlling systems
• AI for decision-support models
• Cognitive radio communication
• Deep learning for sustainable computing
• Senor network for environmental monitoring