2nd International Conference on Innovations in Mechanical, Robotics, Computing and Biomedical Engineering

ICIMRBE’ 26

(Hybrid)

4, 5, 6 August 2026 | Adi Shankara Institute of Engineering and Technology, Kalady, Ernakulam

Thrust Areas

Dynamics, Control, Automation & Intelligent Robotics
Healthcare & Biomedical Systems
Data Science, Machine Learning & AI Applications
Cybersecurity, Privacy & Trust in CPS/AI Systems

Conference Theme & Tracks

Theme: “Synergizing Innovations: Bridging Mechanical, Robotics, Computing, and Biomedical Frontiers for a Sustainable Future”

The International Conference on Innovations in Mechanical, Robotics, Computing, and Biomedical Engineering (ICIMRBE’26) aims to promote co-creative multidisciplinary work and facilitate knowledge sharing to address global challenges through technological innovation. The conference provides a platform for researchers, educators, practitioners, industry professionals, and entrepreneurs to exchange ideas on emerging technologies, applications, and solutions spanning mechanical engineering, intelligent robotics, computing, and biomedical systems.

  • Generative Mechanical Design and Topology Optimization
  • Data-Driven Modeling and Simulation
  • Reduced-Order Modeling
  • Digital Twins and Predictive Maintenance

  • Cyber-Physical Production Systems (CPPS)
  • Smart Factories and Intelligent Supply Chains
  • Industrial IoT (IIoT) and Edge Computing
  • Augmented and Virtual Reality in Manufacturing
  • AI-Powered Quality Assurance and Predictive Maintenance

  • High-Performance Computing (HPC) for Engineering Simulations
  • Physics-Informed Machine Learning (PIML)
  • Big Data Analytics and Data Mining in Engineering
  • Cloud, Parallel, and Distributed Computing

  • Modeling, Estimation, and Control
  • Robust, Nonlinear, and Model Predictive Control
  • Perception, Planning, SLAM, and Localization
  • UAV, Mobile, Field, Space, and Underwater Robotics
  • Human-Robot Interaction and Safety

  • Rehabilitation and Assistive Robotics
  • Biomedical Imaging and Signal Processing
  • Wearable Devices and Biomedical Instrumentation
  • Biomaterials and Tissue Engineering
  • Lab-on-Chip and Clinical Validation

  • Predictive Models using AI/ML/DL
  • Edge and Cloud AI
  • Digital Twins
  • Computer Vision Applications
  • AI Applications in Manufacturing, Robotics, and Healthcare

  • OT and Industrial Control Systems Security
  • Secure Control Systems
  • Adversarial Machine Learning
  • Privacy-Preserving Analytics
  • Threat Modeling, Compliance, and Safety of AI