The rapid breakthroughs in information technologies have driven substantial developments in Artificial Intelligence applications, particularly the widespread use of deep learning techniques and Generative AI in domains such as speech, image, and text recognition. Nowadays, AI utilizes machine learning and deep learning techniques to construct Intelligent Media (IM) and provide sustainable technology solutions. Sustainable Technology Management (STM) refers to the practice of using technology in a way that minimizes environmental impact and maximizes long-term sustainability. Therefore, there is an increasing need for a more complete understanding of Intelligent Media and Sustainable Technology Management.
The term Intelligent Media (IM) encompasses the integration of AI and machine learning into media to create adaptive, interactive, and context-aware content and systems. It explores all computational issues and machine learning aspects related to evolutionary computation, bio-inspired computing, neuro-computing, and fuzzy computing, as well as other state-of-the-art computing paradigms. Intelligent Media seeks to enhance media platforms and experiences by leveraging AI technologies to improve functionality, adaptability, and user engagement. Importantly, innovative computing can be applied and adopted in different industries, such as business administration, sales and marketing, finance, social networks, e-commerce, healthcare, and other domains integral to daily life. The evolutionary mechanisms and real-world applications of innovative computing need to be investigated in greater depth to unlock their full potential.
Sustainable Technology Management (STM) is a field that integrates sustainability principles with the practice of managing technological resources. It focuses on planning, developing, implementing, and monitoring technologies that are environmentally friendly, economically sustainable, and socially beneficial. STM involves integrating environmental, economic, and social sustainability principles into all aspects of technology management to minimize negative impacts and promote long-term benefits. It includes considerations of resource efficiency, eco-friendly design, lifecycle assessment, pollution reduction, economic viability, and social responsibility. Research in this area is based on foundational disciplines such as economics, environmental science, engineering, management, sociology, and statistics, with a focus on sustainability-driven technology practices that contribute to environmental protection, resource conservation, and social well-being.
This conference aims to bring together researchers, engineers, and pioneers from both academia and industry to report on, review, and exchange the latest progress in Intelligent Media and Sustainable Technology Management, to explore future directions of research, and to promote better experiences in different fields. We welcome papers that focus on theoretical studies, practical applications, experimental prototypes, along with survey papers.
Authors are invited to submit articles that illustrate research results, projects, survey work, industrial experience, and creative ideas that describe significant advances in the following areas:
Adaptive Content Delivery: Media that adjusts in real-time based on user preferences, behaviors, and environmental contexts to provide personalized experiences.
Interactive Systems and Interfaces: Enhanced interaction between users and media through natural language processing, gesture recognition, and other AI-driven interfaces.
Automated Content Generation: Use of AI algorithms to create or modify media content, such as text, images, audio, and video, employing techniques like deep learning and generative models.
Context-Aware Services:Systems that understand and respond to the context in which media is consumed, including location, time, and user activity.
Enhanced Analytics and User Behavior Analysis: Advanced data analysis to gather insights on user engagement, preferences, and trends, enabling more informed decision-making in media production and distribution.
Infrastructure:Middleware systems and services; large-scale data management for intelligent media; cloud, cloudlet, and fog computing; integration of smart devices; device-to-device coordination applications; and heterogeneous pervasive and social data storage, models, and analytics.
Theories, Models, and Algorithms: Context modeling and reasoning; adaptive and context-aware computing; activity recognition; machine learning; deep learning; data mining; online data stream mining; location-based services; cognitive techniques; and fusion integration from multi-source social big data.
Intelligent Media Applications: Applications across various domains such as education, healthcare, transportation, business, agriculture, smart homes, daily living, sports, entertainment, and security, where intelligent media enhances user experiences through personalization and interactivity.
Environmental Sustainability:
Resource efficiency in technology development and use
Eco-friendly design and sustainable product development
Lifecycle assessment of technologies
Pollution reduction technologies and strategies
Economics:
Sustainable business models and long-term economic viability
Cost management through energy efficiency and waste reduction
Innovation in sustainable technologies and competitive advantage
Social Sustainability:
Stakeholder engagement in technology management
Ethical practices in technology development and deployment
Technologies for community development and social well-being
Strategic Management and Policy:
Integrated planning for sustainability in technology management
Risk management related to sustainability challenges
Compliance with environmental policies and regulations
Sustainable Supply Chains:
Sustainable practices in supply chain management
Green logistics and transportation
Responsible sourcing and procurement of materials
Waste Management and Circular Economy:
Technologies for recycling and waste reduction
Strategies for a circular economy in technology sectors
Renewable Energy Systems:
Management of renewable energy technologies
Integration of sustainable energy solutions
Information Technology and Sustainability:
Energy-efficient computing and data centers
Green IT practices
Responsible e-waste management
Case Studies and Best Practices:
Real-world implementations of sustainable technology management
Lessons learned from sustainable initiatives in various industries
All accepted papers will be included in the conference proceedings. In addition, IMSTM2025 features a special publication model for authors to extend their conference works to high-quality journals and books following the conference. Submitted papers will be carefully evaluated based on originality, significance, technical soundness, presentation, and clarity of exposition. Selected high-quality and presented papers, with 50-60% extension and revision, will be recommended for publication in top-ranked journals.