About the Journal

The urgent need for sustainable solutions to global environmental challenges
demands innovation across all engineering disciplines. While the foundation of
sustainability lies in physical technologies—such as new materials, energy systems, and
waste management—modern engineering increasingly relies on computational tools and
earth observation data to optimize these systems.

Sustainable Engineering and Intelligent Systems (SEIS) addresses this dual need. Its
primary focus is on Engineering Sustainability and Green Technologies. However, it
adopts a forward-looking scope by accepting high-quality submissions
regarding Intelligent Systems specifically when applied to environmental and
engineering problems.

This unique positioning fills a void in the current academic landscape, offering a
dedicated platform for researchers who are applying the power of the "Digital
Revolution" to the crisis of climate change and resource scarcity.

Scope and Focus:
Sustainable Engineering and Intelligent Systems (SEIS) publishes original, high
quality research that advances sustainable engineering practices and the development of
green technologies. The journal welcomes contributions from the fields of IT, AI, and
Remote Sensing, provided they are applied strictly to sustainability or environmental
engineering.

The journal’s scope is organized into four key areas:

a. Smart Energy and Power Systems
• Renewable Energy Technologies: Technological advancements in solar, wind,
hydro, geothermal, biomass, and hydrogen energy, including the use of AI for
predictive maintenance of energy assets.
• Smart Grids and Energy Management: Integration of IT and power electronics for
grid stability, demand-side management, microgrid control, and decentralized
energy trading.
• Energy Storage Systems: Development of advanced battery technologies, thermal
storage, and intelligent control systems for hybrid energy storage.

b. Sustainable Design, Manufacturing, and Infrastructure
• Industry 4.0 and Sustainable Manufacturing: Integration of cyber-physical
systems to reduce waste, optimize production lines, and enforce circular economy
principles.
• Sustainable Construction and Intelligent Buildings: Green building design,
Building Information Modeling (BIM) for sustainability, smart HVAC control
systems, and resilient infrastructure.
• Green Materials: Development and computational simulation of environmentally
friendly materials, biodegradable products, and sustainable composites.
• Sustainable Transportation: Electric vehicles (EVs), charging infrastructure
optimization, and intelligent logistics for green supply chains.

c. Environmental Management, Remote Sensing, and Policy
• Remote Sensing and GIS: Utilization of satellite imagery, aerial drones, and
Geographic Information Systems (GIS) for environmental monitoring, land-use
planning, and resource assessment.
• Water Resources and Smart Agriculture: Precision agriculture using drones and
AI, smart irrigation systems, and advanced wastewater treatment technologies.
• Waste Management: Automated waste sorting technologies using robotics and
computer vision, waste-to-energy conversion, and e-waste management
strategies.
• Life Cycle Assessment (LCA): Computational methodologies and data-driven
models for evaluating the environmental impacts of products and processes.

d. Intelligent Systems and Green Computing
• AI and Machine Learning for Sustainability: Application of AI to model climate
change, optimize resource allocation, and predict environmental risks.
• Internet of Things (IoT) for Environmental Monitoring: Use of sensor networks
and edge computing for real-time monitoring of air quality, water resources, and
pollution.
• Green Computing and Software: Development of energy-efficient algorithms,
low-power computing architectures, and green data center technologies.
• Smart Cities and Digital Twins: Digital modeling of urban environments to
optimize traffic flow, waste management, and energy distribution using Big Data
analytics.
• Blockchain for Green Economy: Transparent supply chain tracking for the circular
economy and secure carbon credit management systems.

Justification and Significance:
The establishment of SEIS is driven by critical scientific and global needs:
• Currently, research on sustainability is often fragmented. Engineering journals
focus on hardware, while Computer Science journals focus on algorithms. SEIS
bridges this gap, providing a unified platform for interdisciplinary research where
physical engineering meets digital intelligence.
• The journal directly supports the UN Sustainable Development Goals (SDGs),
particularly SDG 7 (Clean Energy), SDG 9 (Innovation), and SDG 11 (Sustainable
Cities). It serves as a repository for actionable research that can influence global
policy and industrial practice.
• With the inclusion of Remote Sensing, the journal acknowledges that we cannot
manage what we cannot measure. It provides a vital outlet for research on
monitoring climate change, deforestation, and urbanization through advanced
technology.
• Promoting Evidence-Based Solutions: By combining engineering rigor with data
science, SEIS promotes solutions that are not only theoretically sound but
optimized through intelligent modeling and real-world data analysis.