ICMST-II (2025) – Theme
Research papers are invited not only from the following topics but also from all branches of Science, Engineering, and Management.
TOPICS NOT LIMITED TO…
Track-1 Science and Technology
- Artificial Intelligence – Augmented Reality / Virtual Reality
- Big Data & Analytics – Bio-Informatics & Applications – BlockChain Technology -Computer Architecture Applications
- Cloud Service, Computing & Applications
- Communication Engineering
- Computer Networks, Security & Applications
- Cyber Security & Intellectual property Rights
- Database & Data Mining Applications
- Data Science & Analytics – Decision Support Systems
- E-Commerce/e-Education/e-Business/e-Society/e-Learning
- Human-Computer Interaction
- IT-Project Management / IT-Security/IT-Education /Applications Tools – Intelligent computing
- Internet of Things, Internet of Drones
- Image Processing Applications in Engineering – Machine & Deep learning
- Natural Language Processing/Ontological Applications
- Predictive Analytics/Probabilistic/Statistical approaches
- Soft Computing/Software Engineering, – Online Language Translators/Online education
- Wireless & Mobile computing/Web Semantics
Track-2 Engineering
- Smart and Sustainable Engineering Systems
- – Focus on eco-friendly infrastructure, renewable energy systems, and sustainable design practices.
- Artificial Intelligence and Machine Learning in Engineering
- Integration of AI/ML in design, automation, predictive maintenance, and intelligent control systems.
- Internet of Things (IoT) and Cyber-Physical Systems
- Advancements in connected devices, real-time monitoring, and industrial automation.
- Advanced Materials and Nanotechnology
- Innovations in material science, nanomaterials, and their applications in engineering.
- Robotics, Automation, and Control Systems
- Emerging trends in robotic systems, autonomous technologies, and intelligent control mechanisms.
Track-3 Science
- Environmental and Earth Sciences
- Research on climate change, sustainability, biodiversity, and natural resource management.
- Computational and Data Science
- Innovations in big data, scientific computing, simulation, and algorithm development.
- Life Sciences and Biotechnology
- Advances in genetics, molecular biology, biomedical research, and biotech applications.
- Physical and Chemical Sciences Cutting-edge studies in physics, chemistry, materials science, and nanotechnology.
- Space and Atmospheric Sciences
- Research on space exploration, satellite technologies, and atmospheric phenomena.