Call for Papers

The theme “Innovative Engineering Solutions for a Sustainable Future” of ICSFT 2027 reflects the critical role of engineering and technology in addressing the complex challenges of the twenty-first century. To serve increased demand of sustainable development, clean energy, resilient infrastructure, digital transformation, and resource-efficient systems, innovative engineering has become a key driver of economic growth, environmental stewardship, and societal well-being.

This conference offers a multidisciplinary platform for students, researchers, academicians, industry professionals, and innovators to exchange cutting-edge ideas, present original research, and foster collaborations across diverse engineering disciplines, including Mechanical, Electrical, Electronics, Computer Engineering, Information Technology, Artificial Intelligence & Data Science, and Engineering Sciences.

Through interdisciplinary research and technological innovation, the conference aims to accelerate the development of sustainable solutions that support smart industries, intelligent systems, advanced manufacturing, renewable energy, digital technologies, and Sustainable Development Goals (SDGs), ultimately contributing to a more sustainable, resilient, and prosperous future.

Conference Tracks

Important Dates

17th Aug
2026

Start Of Submission

07th Jan
2027

Camera Ready Opens

24th & 25th Apr
2027

Conference Dates

30th Nov
2026

Last Date of Submission

07th Jan
2027

Registration Opens

15th Dec
2026

Notification of Acceptance

15th Feb
2027

Last Date of Registration

Track Domains

Track 1: Computer Engineering

Artificial Intelligence and Data Science for Sustainable Development

  • Artificial Intelligence and Machine Learning
  • Data Science and Data Analytics
  • Sustainable Computing and Green IT
  • Intelligent Systems for Social Good
  • AI in Healthcare, Agriculture, and Smart Cities
  • IoT, Edge Computing, and Smart Systems
  • Cybersecurity and Data Privacy in Intelligent Systems
  • Deep Learning and Predictive Modeling
  • Computer Vision and Pattern Recognition
  • Human-Centered and Responsible AI

Track 2: Information Technology

Secure and Intelligent Computing for Sustainable Development

  • Artificial Intelligence and Machine Learning
  • Generative AI and Large Language Models
  • Explainable, Responsible and Ethical AI
  • Cybersecurity, Privacy and Digital Trust
  • Blockchain and Distributed Ledger Technologies
  • Secure Cloud, Edge and Fog Computing
  • Internet of Things and Smart Systems
  • Green Computing and Sustainable ICT
  • Intelligent Data Analytics and Big Data
  • Smart Cities and Intelligent Transportation
  • Smart Healthcare and Biomedical Informatics
  • Renewable Energy and Smart Grid Technologies

Track 3: Artificial Intelligence and Data Science

Responsible AI: Balancing Algorithmic Power with Carbon Footprints

  • Artificial Intelligence and Machine Learning
  • Data Science and Data Analytics
  • Sustainable Computing and Green IT
  • Intelligent Systems for Social Good
  • AI in Healthcare, Agriculture, and Smart Cities
  • IoT, Edge Computing, and Smart Systems
  • Cybersecurity and Data Privacy in Intelligent Systems
  • Deep Learning and Predictive Modeling
  • Computer Vision and Pattern Recognition

Track 4: Electronics and Telecommunication Engineering

Smart and Sustainable Electronics Systems

  • AI-Driven Smart Electronic Systems
  • 2Sustainable IoT and Edge Computing
  • Green 5G/6G Networks
  • Low-Power VLSI and Embedded Systems
  • Smart Healthcare Technologies
  • Renewable Energy
  • Electronics
  • Smart Sensors and Intelligent Instrumentation
  • Industry 5.0 and Intelligent Automation
  • Semiconductor Technologies for Sustainable Development

Track 5: Mechanical Engineering

Sustainable Energy, Materials, Design and Manufacturing

  • Sustainable Thermal and Energy Systems
  • Sustainable Transportation and Mobility
  • Advanced and Sustainable Materials
  • NVH and System Dynamics
  • Computational and Experimental Mechanics
  • Additive and Digital Manufacturing
  • Advanced Manufacturing Processes
  • AI-Driven Smart Manufacturing and Automation
  • Circular Economy and Supply Chain Management

Track 6: Electrical Engineering

Sustainable Energy Systems and Electrical Technologies

  • Renewable Energy Systems
  • Electrical Drives
  • Smart Grid
  • Industrial Automation

Track 7: Engineering Sciences and Humanities

Basic and Applied Sciences for Sustainable Development

  • Science for Sustainable Development Goals
  • Applied Physics and Chemical Sciences for Sustainability
  • Waste management, recycling, and circular economy
  • Nanoscience and Nanotechnology
  • Environmental Science and Climate Studies

Artificial Intelligence and Data Science for Sustainable Development

  • Artificial Intelligence and Machine Learning
  • Data Science and Data Analytics
  • Sustainable Computing and Green IT
  • Intelligent Systems for Social Good
  • AI in Healthcare, Agriculture, and Smart Cities
  • IoT, Edge Computing, and Smart Systems
  • Cybersecurity and Data Privacy in Intelligent Systems
  • Deep Learning and Predictive Modeling
  • Computer Vision and Pattern Recognition
  • Human-Centered and Responsible AI

Secure and Intelligent Computing for Sustainable Development

Responsible AI: Balancing Algorithmic Power with Carbon Footprints

Smart and Sustainable Electronics Systems

  • Smart grids and energy management
  • AI in signal processing and communication systems
  • Intelligent control systems for electrical devices
  • EV Technologies
  • Battery Management
  • Power Efficient systems
  • Autonomous Systems and UAVs
  • Renewable Energy
  • Mobile/Ad Hoc Wireless Networks
  • Image, Speech, and Video Processing
  • Bio-Medical Simulation
  • Communication and Networking
  • Sensor Placement
  • Hydrogen Vehicles
  • Strategic Planning for AI-Driven Sustainability
  • Change Management in the Age of AI
  • Data Management and AI for Sustainability
  • Financial Management and AI Investment for Sustainability
  • Optimization Methods in Finance
  • Emotional Intelligence
  • Business Management in Digital World
  • Digitized Entrepreneurship
  • E-commerce and Cryptocurrency
  • Development of Fintech
  • Emergence of startups and it’s sustainability
  • AI in Supply Chain Management for Sustainability
  • Predictive maintenance and fault detection
  • AI-driven design and optimization of mechanical systems
  • Robotics and automation in manufacturing
  • Thermal Engineering
  • Mechatronics, Robotics, Cybernetics
  • Vehicle Design, Design Thinking
  • Engineering Manufacturing control and automation
  • Additive Manufacturing
  • Alternative Fuels / Hydrogen Technology
  • Failure Mode and Effect Analysis (FMEA)
  • Advanced materials and applications
  • Refrigeration and Air Conditioning with applications
  • Industrial / Production Engineering

Sustainable Energy Systems and Electrical Technologies

  • Renewable Energy Systems
  • Electrical Drives
  • Smart Grid
  • Industrial Automation
  • E-mobility

Sustainable Materials and Design, Manufacturing and Thermal Systems

  • Sustainable Thermal and Energy Systems
    Sustainable
  • Transportation and Mobility
  • Advanced and Sustainable Materials
  • Computational Design and Engineering
  • Sustainable Transportation and Mobility
  • Additive Manufacturing and Digital Fabrication
  • Advanced Manufacturing Processes
  • AI-Driven Smart Manufacturing and Automation
  • Circular Economy in Engineering

Basic and Applied Sciences for Sustainable Development

  • Science for Sustainable Development Goals
  • Applied Physics and Chemical Sciences for Sustainability
  • Waste management, recycling, and circular economy
  • Nanoscience and Nanotechnology
  • Environmental Science and Climate Studies

Overarching theme of ICSFT-26 on AI Integration for Sustainable Development, the IEEE International Conference ICSFT-26 offers a global platform for professionals engaged in AI and sustainable development. This forum aims to delve into the transformative effects of AI across diverse engineering and management disciplines, fostering discussions and innovations that contribute to a sustainable future.

ICSFT-26 invites contributions covering all dimensions of AI-driven sustainable development, the creation and refinement of algorithms steering the future of Artificial Intelligence, and the practical implementation and real-world applications of AI technologies in fields of Computer, IT, AI&DS, E&TC, Mechanical, Electrical, Engineering Sciences and Management studies. 

Computational Technologies


Electrical and Electronics Technologies


Mechanical and Control Technologies


Management and Computer Applications


Engineering Sciences

Track Domains

  • AI in cybersecurity and network management
  • Natural language processing and human-computer interaction
  • Intelligent Embedded Systems and IOT
  • Big Data Analytics  and Data Visualization
  • Soft Computing and Hybrid Soft Computing
  • Artificial Intelligence & Machine Learning
  • Parallel and Distributed Architectures and Systems Optimization
  • Bioinformatics
  • Software Engineering and Development
  • Blockchain and Cryptocurrency
  • Data Science and Predictive Analytics
  • Cloud Computing and Virtualization
  • Quantum Computing
  • Smart grids and energy management
  • AI in signal processing and communication systems
  • Intelligent control systems for electrical devices
  • EV Technologies
  • Battery Management
  • Power Efficient systems
  • Autonomous Systems and UAVs
  • Renewable Energy
  • Mobile/Ad Hoc Wireless Networks
  • Image, Speech, and Video Processing
  • Bio-Medical Simulation
  • Communication and Networking
  • Sensor Placement
  • Hydrogen Vehicles
  • Strategic Planning for AI-Driven Sustainability
  • Change Management in the Age of AI
  • Data Management and AI for Sustainability
  • Financial Management and AI Investment for Sustainability
  • Optimization Methods in Finance
  • Emotional Intelligence
  • Business Management in Digital World
  • Digitized Entrepreneurship
  • E-commerce and Cryptocurrency
  • Development of Fintech
  • Emergence of startups and it’s sustainability
  • AI in Supply Chain Management for Sustainability
  • Predictive maintenance and fault detection
  • AI-driven design and optimization of mechanical systems
  • Robotics and automation in manufacturing
  • Thermal Engineering
  • Mechatronics, Robotics, Cybernetics
  • Vehicle Design, Design Thinking
  • Engineering Manufacturing control and automation
  • Additive Manufacturing
  • Alternative Fuels / Hydrogen Technology
  • Failure Mode and Effect Analysis (FMEA)
  • Advanced materials and applications
  • Refrigeration and Air Conditioning with applications
  • Industrial / Production Engineering 
  • AI in Resource Optimization
  • Reducing Environmental Impact
  • Promoting Sustainable Practices
  • Future Intelligent materials or smart materials
  • Nanotechnology
  • Biodegradable polymers
  • Sensors and actuators
  • Polymers and nanocomposites.
  • Sustainable environment
  • Nanomaterials
  • Computing and mathematics
  • Application of mathematics in various software
  • AI in Sustainable Construction
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