Call for Papers

Interested authors are invited to submit full papers including results, figures and references. Papers will be accepted only by electronic submission through Microsoft CMT link given below

Submit Your Paper through Microsoft CMT

PLAGIARISM POLICY

All manuscripts submitted to ICICAI 2027 will follow the double-blind review process and authors are instructed not to add their details while submitting the manuscript.

ICICAI 2027 takes plagiarism very seriously and regard plagiarism as a professional misconduct. Papers will be screened for plagiarism and when identified the paper will be rejected. Only those papers will be carry forwarded to next step of the review which are initially detected for plagiarism of less than 20% (Including References and DOI Number). No AI Based Content like ChatGPT will be allowed. If at any stage find AI tool content, the paper will be rejected even after successful registration.

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Consent to Publish Form
PERMISSIONS AND ARTIFICIAL INTELLIGENCE (AI) VERIFICATION FORM

The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials. Only submit the softcopy of full-length paper not exceeding 06 pages (if exceeds the limit, then per page charge of 500/- is applicable) in specified format. Other papers on related topics mentioned below are also welcome.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results- projects, surveying works and industrial experiences that describe significant advances in the domains of Computer Technologies, industrial applications such as health sector, and other emerging technologies. Topics of interest for submission includes, but are not limited to recent topics under the following tracks as mentioned below:
  • Wireless and Optical Communication Systems
  • 5G/6G and Next-Generation Communication
  • Satellite and Space Communication
  • Antenna and Microwave Engineering
  • RF and Photonic Systems
  • Microelectronics and Nanoelectronics
  • Semiconductor Devices and Circuits
  • Embedded and Real-Time Systems
  • Sensor and Instrumentation Systems
  • Mechatronics and Automation
  • Signal Processing and Communication Engineering
  • Wireless Sensor Systems
  • Vehicular Communication Systems
  • Intelligent Electronic Systems
  • Hardware–Software Co-Design
  • Computational Engineering and Scientific Computing
  • Mathematical Modelling and Simulation
  • Numerical Methods and Optimization
  • High-Performance and Parallel Computing
  • Computational Physics
  • Engineering Data Analytics
  • Machine Learning for Engineering Applications
  • Deep Learning for Scientific and Engineering Problems
  • AI-Based Modelling and Prediction
  • Computer Vision for Engineering Applications
  • Image and Signal Analysis
  • Digital Twin and Virtual Engineering
  • Intelligent Decision Support for Engineering Systems
  • Simulation-Based Engineering
  • Computational Methods for Complex Systems
  • Smart Sensors and Instrumentation
  • Internet of Things for Engineering Applications
  • Cyber-Physical Systems
  • Intelligent Robotics and Autonomous Systems
  • Industrial Automation and Control
  • Embedded Intelligence
  • Edge Computing for Industrial Systems
  • Machine-to-Machine Communication
  • Intelligent Manufacturing
  • Industry 4.0 and Industry 5.0
  • Autonomous Vehicles and Robotic Platforms
  • Digital Manufacturing
  • Sensor Fusion and Perception
  • Intelligent Monitoring and Fault Diagnosis
  • Smart Infrastructure Systems
  • AI-Enabled Engineering Systems
  • Renewable Energy Systems
  • Solar and Wind Energy Technologies
  • Smart Grid and Power Systems
  • Energy Storage and Conversion
  • Power Electronics
  • Energy-Efficient Computing and Electronics
  • Sustainable Engineering Materials
  • Green and Sustainable Technologies
  • Environmental Sensing and Monitoring
  • Climate and Environmental Modelling
  • Water Resources Engineering
  • Smart Agriculture Technologies
  • Precision Agriculture and Sensing
  • Sustainable Manufacturing
  • Energy Management and Optimization
  • Resilient Infrastructure and Sustainable Engineering