The International Conference on Emerging Trends and Innovations in Engineering and Data Science
(ICETIEDS–2026)

Flagship global event hosted by the Royal School of Engineering and Technology,
The Assam Royal Global University

Scheduled for 13–14 November 2026 in a hybrid mode (In-person + Online)

About the Conference

The conference brings together leading minds from academia, industry, and research organizations to explore the rapid advancements transforming engineering and data-driven technologies.

As the world advances into the era of Industry 4.0, the convergence of traditional engineering with Artificial Intelligence, IoT, Big Data, and intelligent automation is reshaping design, development, and decision-making across all sectors.

This conference aims to bridge the widening gap between conventional engineering practices and disruptive digital innovations, offering a platform for collaboration, discussion, and knowledge sharing.

Aligned with national initiatives such as Digital India, Smart Cities Mission, Viksit Bharat, and global goals under the UN Sustainable Development Goals (SDG 9, 11, and 13), ICETIEDS–2026 emphasizes sustainable, resilient, and future-ready engineering solutions.

Conference Vision

ICETIEDS–2026 envisions fostering a dynamic environment where researchers, engineers, scientists, industry professionals, and students can share cutting-edge ideas, explore interdisciplinary applications, and build long-term collaborations that drive innovation.


Conference Objectives

Conference Themes

ICETIEDS–2026 will feature a wide range of tracks covering Core Engineering, Data Science & Emerging Technologies, and Interdisciplinary Innovations, including but not limited to:

A. For Core Engineering Focus

  • Sustainable Infrastructure and Smart Cities
  • Advanced Materials, Smart Materials and Construction Technologies
  • Renewable and Clean Energy Systems
  • Automation, Robotics, Mechatronics, Green Manufacturing and Industrial Sustainability
  • Advanced Transportation and Pavement Engineering
  • Water Resources Management and Climate-Resilient Infrastructure
  • Smart Grids and Power Systems Optimization
  • Structural Health Monitoring
  • Disaster-Resilient Design and Geotechnical Innovations
  • 3D Printing for Engineering Applications

B. For Data Science & Emerging Technologies Focus

  • Artificial Intelligence and Machine Learning Applications in Engineering
  • Big Data Analytics and Cloud Computing
  • Internet of Things (IoT) and Edge Computing for Smart Systems
  • Cybersecurity, Blockchain, and Digital Trust
  • Computer Vision and Deep Learning for Engineering Diagnostics
  • Predictive Maintenance and AI in Smart Manufacturing
  • Data-Driven Urban Planning and Smart Infrastructure
  • Human–AI Collaboration and Ethical AI Frameworks
  • Generative AI and Large Language Models in Engineering Design
  • Data Science Applications for Climate and Environmental Studies

C. Interdisciplinary Themes

  • AI-Integrated Sustainable Engineering Solutions
  • Digital Twins and Smart Infrastructure Management
  • Smart Manufacturing and Industrial IoT
  • Green Technology and AI for Sustainable Development Goals (SDGs)
  • Deep Learning Applications in Mechanical Engineering
  • Artificial Intelligence, Machine Learning Applications in Civil Engineering
  • Slope Stability, Landslide Prediction
  • Rock and Soil Behaviour Analysis using AI
  • Sustainability
  • Sustainability and Social Entrepreneurship

Conference Structure

Day 1:

  • Inauguration
  • International Keynote Address
  • Plenary Talks

Day 2:

  • Parallel Technical Sessions
  • Panel Discussion: “Engineering for a Data-Driven Future”
  • Valedictory Session

Proceedings will be submitted to reputed publishing partners including Springer & Taylor & Francis.

Who Should Attend?

  • Academicians & Researchers
  • Industry Professionals & Engineers
  • Data Scientists & Technology Innovators
  • Postgraduate & Doctoral Students
  • Government & Policy Experts
  • Startups & Innovators in Engineering and AI

Why Attend?

  • Opportunity to publish in Scopus-indexed proceedings
  • Interactions with global experts and industry leaders
  • Exposure to cutting-edge tools, technologies, and methodologies
  • Networking for collaborative research, MoUs, and funded projects
  • Insight into the future of engineering driven by AI and data science
  • Engagement with themes supporting national and global sustainability goals

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