Call for Papers
Guidelines
Authors are required to submit their manuscript under the designated track mentioned in the submission portal.
The manuscript should be written within a limit of 4 to 6 pages.
The page count includes figures, tables, and references.
The paper must strictly follow the prescribed format/template available in the website.
Submissions not adhering to the format may not be considered for review.
The manuscript must maintain a similarity index of less than 20%.
Papers exceeding this threshold will be rejected without review.
Tracks
Sustainable Engineering and Green Infrastructure
Green construction materials and sustainable design
Smart transportation and traffic management systems
Water resource management and rainwater harvesting
Waste management in construction and demolition (C&D)
Robotics, Mechatronics, Control system.
Intelligent and Secure Computing
Digital Signal Processing & Communication
AI & Machine Learning
Cloud & High-Performance Computing
IoT & Smart Systems
Cybersecurity & Blockchain
Computer Vision & Image Processing
VLSI & Embedded Systems
Robotics & Control Systems
Life Sciences, Biomedical, and Pharmaceutical Innovations
Biomedical Imaging
Medical Image Analysis
Thermal Analysis in Biological Systems
Protein Chemistry
Solid-State Forms of Pharmaceuticals
Smart Materials for Healthcare
Biophysics Applications
Advanced Materials and Fundamental Sciences
Nanomaterials & Quantum Dots
Smart & Energy-Harvesting Materials
Semiconductor & Q-bit Devices
Applied Optics & Photonics
Astroparticle Physics
Particle Physics
Liquid Crystals
Magnetism & Dielectric Properties
Non-Equilibrium Statistical Mechanics
Sustainable Energy, Power, and Infrastructure Systems
Sustainable Energy and Power Systems
Renewable and Alternative Fuels
Industrial and Composite Materials
Fluid Dynamics & Turbulence Modeling
Smart Grids and Wind Energy
Resilient Infrastructure including Earthquake Engineering, Geotechnical Solutions, and Sustainable Construction & Waste Management
AIML& Future Tends
AIML in Engineering research
AIML in data analysis
AIML in Scientific research
AIML in Humanities & Social Sciences
