ICITGSF-2025

Smart Technologies for Sustainable Manufacturing: Integration of Industry 6.0 in manufacturing processes, Artificial intelligence and machine learning in production optimization, Sustainable practices in smart factories.
Digital Twins and Simulation in Engineering: Applications of digital twin technology across engineering disciplines, Simulation techniques for product development and process improvement, Real-world case studies on the impact of digital twins.
Communication Technologies for Industry 6.0: 5G and beyond for industrial communication, IoT (Internet of Things) in industrial applications, Wireless sensor networks for smart manufacturing.
Advanced VLSI Technologies for Sustainable Electronics: Emerging technologies (e.g., beyond CMOS) for energy-efficient VLSI, Novel materials and fabrication techniques for sustainable electronics, VLSI for Edge Computing and Industry 6.0.
Innovations in Mechanical Engineering for Sustainability: Sustainable materials and manufacturing processes, Energy-efficient designs in mechanical systems, Circular economy principles in mechanical engineering.
Agricultural Engineering for Global Food Security: Precision agriculture and smart farming technologies, Sustainable practices in agricultural engineering, Robotics and automation in agriculture.
Green Chemistry and Sustainable Chemical Engineering: Sustainable chemical processes and manufacturing, Renewable energy sources in chemical production, Waste reduction and circular economy in the chemical industry.
AI for Sustainable Manufacturing: Precision agriculture with AI and machine learning, AI applications in renewable energy systems, Circular economy models supported by AI, AI-driven simulations for understanding climate change impact, Predictive health analytics using wearable devices, Integration of AI in smart factories for energy efficiency.
Cybersecurity Challenges in Industry 6.0: Cybersecurity risks in smart manufacturing, Secure communication in connected industrial systems, Case studies on cyber threats and preventive measures.
Data Analytics for Sustainable Decision-Making: Big data analytics in engineering and science, Predictive analytics for maintenance and process optimization, Data-driven decision-making for sustainability.
Environmental Impact and Resource Management: Life cycle assessments in engineering projects, Resource-efficient designs and practices, Environmental conservation in industrial processes.
Innovation and Entrepreneurship in Science and Technology: Startups and innovation ecosystems in science and engineering, Funding and support for sustainable technology ventures, Success stories of sustainable technology startups.
Project Management for Sustainable Engineering: Sustainable project planning and execution, Green project management methodologies, Stakeholder engagement for sustainable projects.
Corporate Social Responsibility in Industry 6.0: Ethical considerations in technological advancements, Social and environmental responsibility in industry practices, Corporate initiatives for community development.

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