WELCOME AUTHORS

The UEM National Conference on Innovation & Emerging Machines (UNCIEM 2026) cordially invites researchers, scholars, scientists, engineers, industry professionals, and students to contribute their original research to this esteemed event. Hosted by the University of Engineering and Management, Jaipur, UNCIEM 2026 stands as an energizing platform for exchanging knowledge and insights in the fields of Intelligent machines, Autonomous Technologies, Sustainability, Computational Technologies and many more.
We invite manuscripts presenting original, unpublished research and recent advancements aligned with the conference’s thematic areas. For clarity and fairness, authors are requested to submit under the appropriate Technical Track categories.
Track 1: Intelligent Machines, Embedded Systems, and Autonomous Technologies

Focus: Innovations in smart technologies, embedded design, and automation.
Topics include (but are not limited to): 

  • Artificial Intelligence & Machine Learning 
  • Robotics & Autonomous Systems 
  • Mechatronics & Embedded Systems 
  • Internet of Things (IoT) 
  • Human–Machine Interaction 
  • VLSI Design & Embedded Hardware 
  • Neural Networks & Deep Learning 
  • Edge and Fog Computing 
  • Real-Time Systems & Signal Processing 
  • Predictive Maintenance & Sensor Networks

Focus: Emerging mechanical systems, digital manufacturing, and interdisciplinary engineering solutions. 
Topics include (but are not limited to): 

  • Smart Manufacturing & Industry 4.0 
  • Emerging Trends in Mechanical Systems 
  • Additive Manufacturing & 3D Printing 
  • CAD/CAM/CAE Integration 
  • Cyber-Physical Systems 
  • Digital Twin Technology 
  • Innovative Engineering Designs 
  • Structural Health Monitoring 
  • Advanced Materials & Nanotechnology 
  • Microelectromechanical Systems (MEMS) 

Focus: Sustainable engineering, simulations, and data-driven technologies for a smarter future. 
Topics include (but are not limited to): 

  • Renewable Energy Technologies 
  • Computational Mechanics & Simulation 
  • Energy Harvesting Systems 
  • Green Energy Integration in Smart Grids 
  • Fluid Dynamics & Thermal Systems Modeling 
  • Simulation-based Design & Optimization 
  • Sustainable Product Design 
  • Data Analytics in Energy Systems 
  • Cloud-based Simulation Platforms 
  • AI in Energy Forecasting and Management 

 

Acknowledgement :

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
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