Call For Papers

    Artificial Intelligence (AI) stands at the forefront of technological advancements, making significant contributions across academia and industry. The increasing volume of research papers and tangible progress in cutting-edge applications underscore the transformative potential of AI. Notably, recent research highlights the pivotal role AI can play in sustainable development, offering a strategic approach for industries to design solutions that balance present needs with the imperative to secure a sustainable future.

    This intersection of AI and sustainability extends beyond environmental considerations, influencing economic, social, and governance dimensions. Industries are increasingly leveraging AI to optimize processes, reduce resource consumption, and enhance overall efficiency. This not only aligns with sustainable practices but also contributes to the creation of a more resilient and adaptive industrial landscape.

    Ongoing research in this interdisciplinary space is producing innovative methodologies and frameworks, ranging from AI-powered environmental trend predictions to decision support systems that integrate long-term sustainability considerations. Collaborative efforts between researchers, industry leaders, and policymakers are essential to foster a holistic approach in addressing global challenges. In essence, the amalgamation of AI and sustainable development signifies a powerful alliance, equipping industries with the tools necessary to navigate contemporary challenges responsibly and ensuring a legacy of positive and sustainable change for current and future generations.

Register as a Reviewer

Al for Sustainable cities

  • Al in Energy Sector
  • Al based Smart Transportation Systems
  • Al based Smart Cities
  • Al for Climate and Environment Monitoring

Al for Agriculture

  • Al-based Decision Support Systems
  • AI-based Precision Agriculture
  • Smart Sensors and Internet of Things
  • Agricultural Robotics and Automation Equipment
  • Agricultural Knowledge-Based Systems
  • Computational Intelligence in Agriculture, Food and Bio-systems
  • AI in Agricultural Optimization Management
  • Intelligent Interfaces and Human-Machine Interaction

AI for Healthcare and Life Science

  • Decision Support System
  • Electronic Health Record
  • Neural and Rehabilitation Engineering
  • Computational Systems
  • Modelling and Simulation in Medicine
  • Multiscale Modelling and Synthetic Biology
  • Biomedical Sensors and Wearable Systems
  • Therapeutic and Diagnostic Systems and Technologies
  • Biorobotics and Biomechanics

AI for Metaverse

  • Embodied Agents, Virtual Humans and (self-)avatars in Video Games and other Interactive Media
  • Computer Vision in Metaverse
  • Gaming with Natural Language Processing in Metaverse
  • Computer Graphics Techniques
  • Ethical Issues
  • Immersive Analytics and Visualization
  • Collaborative AI and predicting patterns in Virtual Social interactions
  • Virtual Content Creation
  • Gesture and Emotion Recognition in Virtual Reality
  • User Experience and Usability

Al, Big Data and Data Analytics

  • Semantics of Big Data
  • Streaming Data Analytics
  • Summarization and Materialized views
  • Topic Modelling
  • Big Data Analytics for Governance
  • Conceptual/Cognitive/Programming Models for Big data analytics
  • Data Fusion and Multi Modal Analytics
  • Data Models for Big Data Analytics
  • Machine Learning and AI Techniques for Big Data
  • Large-scale recommendation systems and graph analysis
  • Model Discovery from Big Data
  • Predictive Modelling
  • Scalability and Performance Issues
  • Security, Privacy and Legal issues specific to Big Data

Al for Blockchain and Security

  • Automated Security Analysis
  • Authentication and Biometric Security/Privacy
  • Blockchain Security/Privacy
  • Data Protection
  • Digital Rights Management
  • Distributed Security and Consensus Protocols
  • Email, App and Web Security/Privacy
  • Data Protection
  • Digital Rights Management
  • Distributed Security and Consensus Protocols
  • Email, App and Web Security/Privacy

Al for Cloud Computing

  • Natural Language Processing
  • Pattern Recognition
  • Data Mining and Machine Learning tools in Cloud Computing
  • Heuristic and Al planning strategies and tools
  • Hybrid Intelligent Systems in the Cloud Intelligent system Architectures
  • Data Mining and Knowledge Discovery in the Cloud
  • Security Evaluation and Benchmarks based on Cloud Security Policy

AI For education

  • Al-Assisted and Interactive Technologies in an Educational Context
  • Game-Based Learning
  • Al-assisted Tutoring and Scaffolding
  • AI based Assessment
  • Ethics and AI in Education
  • Innovative Applications for Education

NOTE

  • All accepted, registered, and presented papers will be submitted to IEEE for possible inclusion in IEEE Xplore® digital.

  • Workshop Proposals on the latest trends related to conference theme are to be invited. Submit a proposal at socicon@mituniversity.edu.in in pdf format.