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
To provide a global platform for exchanging ideas on emerging technologies in engineering and data science.
To foster academia–industry partnerships for sustainable technological growth.
To promote interdisciplinary research across civil, mechanical, electrical, computer science, and related domains.
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