Fmic Smci

Key Themes

Key Themes for Paper Submission

Original research and developments on the following subjects, among others, are encouraged from authors:

Track 1: Sustainable, Affordable, and Clean Energy powered by AI

  • Renewable and Alternative Energy Sources
  • Energy Systems and Decarbonization
  • Energy Efficiency and Storage
  • Environmental Impacts and Sustainability
  • Fossil Fuels and Gas Energy

Track-2: AI for Sustainable Materials and Applications

  • Sustainable Materials and Lifecycle Engineering with AI
  • Innovative Materials and Applications by Machine learning
  • Advanced Processes and Optimization
  • Interdisciplinary Research and Simulation

Track 3: AI and Machine Learning in Sustainable Product Development

  • Sustainable Product Innovation and Design
  • Digital Technologies in New Product Development (NPD)
  • Sustainability Evaluation and Supply Chain Integration
  • Risk Management and Decision-Making with big data

Track-4: Sustainable Cities and Society

  • Sustainable Urban Infrastructure and Energy driven by AI
  • Environmental Quality and Climate Resilience with Machine Learning
  • Urban Planning and Smart Technologies (big data, AI, and machine learning)
  • Sustainable Resource Management and Health

Track 5: Good health, well-being, and sustainability through AI and machines.

  • Personalized and Preventive Healthcare
  • Pharmaceutical Development and Quality Control
  • Mental and Environmental Health
  • Sustainable Healthcare and Health Equity

Track-6: Advanced Sustainable Remanufacturing with AI

  • AI-driven sustainability assessment and design optimization
  • Energy and Material Efficiency Optimization
  • Remanufacturing, Recycling, and Waste Reduction
  • Advanced Manufacturing Process

Track 7: Sustainable Design and Production

  • AI-driven sustainable design strategies and innovation
  • Systems Design and Modeling
  • Life Cycle Design and Assessment
  • Digital and Virtual Design using AI and Machine

Track-8: AI driven Sustainable Agricultural Innovation

  • Smart technology integration: AI, robotics, sensors, IoT, decision-making tools.
  • Production Modeling and Planning
  • Soil and Crop Management with AI, Machine Learning, and Big Data.
  • Animal and Product Processing.

Track 9: AI-driven WASH (Water, Sanitation, and Hygiene) solutions

  • Sanitation and hygiene practices, water systems powered by AI.
  • Behavioral Change and Communication
  • Sustainable and Innovative Design Practices
  • Technological Innovations and Prototyping

Track 10: Advanced Materials Science, Manufacturing Processes, and Characterization Techniques

  • Advanced Materials Processing
  • Manufacturing Processes (Smart Manufacturing & Industrial Internet of Things (IIoT), AI/Soft Computing in Manufacturing, Green, Lean and Sustainable Manufacturing, Inclusive, Additive, Hybrid Manufacturing, Precision Manufacturing: Micro and Nano
  • Composite Materials (MMCs, HMMC’s, Polymer based, Biocomposites, nature inspired materials, Ceramic based etc)
  • Nanomaterials and Nanotechnology
  • Biomaterials and bio composites
  • Smart and Functional materials
  • Advanced Polymers, Composites, and Ceramics
  • Other related Materials Science-based works

Track 11: AI-driven sustainable manufacturing technologies

  • Sustainable and Energy-Efficient Manufacturing
  • Sustainable Material Management using big data
  • Sustainable Design and Supply Chain Management

Track 12: Advanced Computational Approaches

  • For optimization, modelling & simulation
  • Design and Agile for multifold engineering

Track 13: Industrial Engineering, Smart manufacturing and Production Technology.

  • Industry 4.0. , Industry 5.0., & Industry 6.0.
  • AI/ML based manufacturing technology.
  • Reliability, maintainability and availability analysis of complex industrial applications using different modeling approaches.
  • Logistic management, supply chain management.
  • Digital intelligent transformation in manufacturing industry.
  • Utilization of soft computing techniques in manufacturing industries.

Track 14: Mechanical System Design Analysis and Optimization.

  • Intelligent diagnostic and predictive maintenance.
  • Dynamic and control mechanism of mechanical systems
  • Robotics, automation, and Intelligent Mechatronics system.
  • Progressive emerging computational mechanism.
  • Design for sustainability.
  • AI/ML based designer mechanical system.
  • Design, analysis, optimization, engineering of automotive aviation and unman aerial vehicle
  • Vehicle based design and dynamics.
  • Mechanical behavior of materials.6.0.

Track 15: Sustainable Development Goals (SDGs) for Different Engineering Applications.

  • Power and Energy Applications.
    • Energy efficiency and system optimization.
    • AI/ML based renewable and non-renewable energy generation conversion and technologies.
    • AI/ML based energy storage, energy conversion and Power Grid Stability.
    • Application of hybrid integration of AI/ML
    • Smart sensors in power automation in power and energy sectors.
    • AI/ML based HVAC systems and cooling solutions.
    • AIML based climate change resilience, inbuilt environment and infrastructure.
  • Sustainable Energy Policy Frameworks.
    • Policy framework for sustainable energy and circular economy transition.
    • Policy framework for sustainable waste management and circular economy.
    • Policy framework for environmental impact mitigation.
    • AIML based sustainable supply chain management.
  • Utilization of AIML computational techniques in following domains.
    • AI/ML based cyber physical system.
    • AI/ML based resilient smart manufacturing.
    • AI/ML based human factors engineering and algorithm.
    • AI/ML based quality control and management.
    • AI/ML based decision support system.
    • AI/ML based vertical routing problem.
    • AI/ML based production, planning and operation scheduling.
    • AI/ML based resilient supply chain and logistic.
    • AI/ML based operation research and optimization.
    • AI/ML based big data analytics and approach applications.
    • AI/ML based applications and network technologies.
    • AI/ML based product process services and software design management.

Note

All the submitted article must match with the nature and scope of conference theme. While, if the articles are based on multidisciplinary /interdisciplinary applications but with the utilization of computational approaches (AI/ML and their related model or algorithm), can be considered for possible evaluations.

Submission Guidelines

SUBMISSION GUIDELINES

✔ All papers must be submitted exclusively through Article Submission Link (Mention in the Conference Webpage) or via email to the official conference email ID: fmic.smci2025@gmail.com. Submission Window: 10th December 2025 – 26th May 2026.

✔ Submissions must be entirely original, unpublished, and not under consideration by any other journal or conference at the time of submission.

✔ All papers must be written exclusively in English and submitted in word/PDF format with continuous line numbering.

✔ Each author is limited to a maximum of two (2) papers, regardless of authorship position.

✔ The conference enforces a strict plagiarism policy. Authors are advised to conduct a plagiarism check using reliable software (e.g., Turnitin or iThenticate) before submission.

✔ Each submission will be assigned a unique PAPER ID, which must be quoted in all future correspondence with the conference organizers.

✔ Authors will be notified of acceptance or rejection via email on or before the first week of June 2026.

✔ If revisions are required, authors will receive detailed feedback and instructions for resubmission.

✔ The final camera-ready version of the accepted paper must be submitted by June 10th, 2026, for inclusion in the official proceedings.

✔ Selected/accepted articles will be published in Scopus-indexed journals or conference proceedings, subject to editorial and peer review standards.

✔ Each paper should include a title, abstract (max 250 words), keywords, main text, and references.

Submission Guideline
INTRODUCTION

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