SCI

ICIMES-2026

7th International Conference on Intelligent Manufacturing and Energy Sustainability

Theme: Innovation Ecosystems for Industry 6.0

25 - 26 August 2026

Organized By:

Department of Mechanical Engineering
Anil Neerukonda Institute of Technology and Sciences (ANITS)
Near Three Temples Bheemunipatnam, Sanghivalasa, Bheemunipatnam, Andhra Pradesh, India.
International Managing Partner
Publication Partner
AI Partner
Paper Submission for ICIMES-2026 is Open Now
ICIMES-2026

Call for Papers

ICIMES-2026 invites high-quality, original research submissions from scholars, practitioners, and students in the areas of INTELLIGENT MANUFACTURING AND ENERGY SUSTAINABILITY. ICIMES welcomes contributions across theoretical and applied dimensions of intelligent manufacturing and energy systems, with a focus on interdisciplinary innovation, real-world impact, and Innovation Ecosystems Industry 6.0. Topics of interest under different tracks (but not limited to) are enumerated below:

ICIMES-2026

Tracks and Conference Topics: (Not Limited To)

Track-1

Intelligent Manufacturing Systems

Advanced Manufacturing

Additive Manufacturing

Digital Twin in Manufacturing

Energy-Efficient Manufacturing

Sustainable and Nano Materials

AI-Driven Manufacturing

IoT-Enabled Smart Manufacturing

Track-2

Automation and Robotics

Collaborative Robotics (Cobots)

Computer Vision

Intelligent Modeling

Simulation and Optimization

Digital Twin

Human Centric Product Design

Product Life Cycle Strategies

Track-3

Computational Fluid Dynamics

Energy Efficient Thermal Systems

Cryogenics and Jet Propulsion

CO2 Capture and storage

Biomass and Biofuels

Hydrogen Fuel and Storage

Energy Storage Systems

Intelligent Thermal Management

Track-4

Smart Factory Systems

Smart Grid Integration

Microgrids for Industrial Applications

Net-Zero Recycling Technologies

Intelligent Transport Systems

Electric, Hybrid and Autonomous Vehicles

Recycling Technologies

Battery Management System

Track-5

Industrial Energy Management

Renewable Energy for Industry

Intelligent Quality Inspection

Intelligent Process Control

Predictive Maintenance Systems

Industrial IoT

Intelligent Supply Chain & Logistics

Smart Sensing and Data Analytics

Submitted papers must be original, unpublished, and not under consideration elsewhere. All manuscripts will undergo a rigorous peer review process, and accepted papers must be registered to be included in the final proceedings. All accepted and registered papers shall be published in SPRINGER SCOPUS indexed book series.