Submissions

VAANI Conference, REC Chennai

The extended articles submitted to VAANI Confernce shall be submitted to this section.

Basic Sciences and Mathematics

This section publishes original research, reviews, and case studies in Physics, Chemistry, Biology, Environmental Science, Mathematics, and Statistics. It aims to advance fundamental knowledge and foster interdisciplinary connections with engineering and management.

Focus Areas:

• • Fundamental discoveries and theories in basic sciences.
  • Innovative applications of mathematical models and statistical methods.
  • Interdisciplinary studies linking basic sciences with engineering or management.

Computer Science Engineering

This section focuses on research in Computer Science that advances computational theory, software development, hardware innovations, and applications (excluding Data Science and AI/ML-specific studies).

Focus Areas:

• • Computer architecture, operating systems, and networks.
  • Software engineering and programming languages.
  • Computational theory and algorithms (excluding AI/ML algorithms).
  • Human-computer interaction and user interface design.

Architecture and Architectural Design

This section is dedicated to research and studies in Architecture and Architectural Design. It aims to publish innovative work that advances the theory and practice of architecture, urban planning, sustainable design, and related fields.

Focus Areas:

• • Architectural theory and design methodologies.
  • Sustainable architecture and green building technologies.
  • Urban planning and development.
  • Building technology, materials, and construction methods.
  • History and philosophy of architecture.
  • Digital architecture, Building Information Modeling (BIM), and computational design.
  • Interdisciplinary studies linking architecture with engineering, technology, or social sciences.

Engineering and Technology

This section covers all aspects of Engineering and Technology, including Mechanical, Industrial, Civil, Electronics, Instrumentation and Control, Telecommunication, Electrical, Chemical Engineering, Material Science and Technology, Energy Systems and Policies, Robotics, and Automation (excluding AI/ML-focused research).

Focus Areas:

• • Mechanical Engineering:
    • Dynamics, thermodynamics, fluid mechanics, heat transfer
    • Mechanical design, manufacturing processes, materials engineering
    • Mechanics of materials, computational mechanics, mechatronics
  • Civil Engineering:
    • Structural engineering, geotechnical engineering, transportation engineering
    • Environmental engineering, water resources engineering
    • Construction management, urban planning, infrastructure development
  • Electrical and Electronics Engineering:
    • Power systems, electrical machines, renewable energy systems
    • Electronics, microelectronics, embedded systems
    • Signal processing, telecommunications, microwave engineering
  • Chemical Engineering:
    • Chemical process engineering, reaction engineering
    • Separation processes, catalysis, petrochemical engineering
    • Biochemical engineering, nanotechnology applications
  • Industrial Engineering:
    • Operations research, systems engineering, quality control
    • Human factors and ergonomics, production planning
    • Industrial automation, supply chain and logistics engineering
  • Materials Science and Engineering:
    • Material synthesis and processing, nanomaterials
    • Composite materials, metallic and ceramic materials
    • Material characterization, corrosion and degradation
  • Energy Systems and Policies:
    • Renewable energy technologies (solar, wind, hydro, geothermal)
    • Energy storage systems, smart grids, energy efficiency
    • Energy policy analysis, sustainability assessments
  • Instrumentation and Control Engineering:
    • Control systems design, instrumentation technologies
    • Measurement and sensing technologies, process control
    • Robotics control (excluding AI/ML aspects)
  • Robotics and Automation (excluding AI/ML):
    • Robotic mechanisms and design, automation systems
    • Industrial robotics applications, robotic kinematics and dynamics
    • Automation in manufacturing and production systems
  • Telecommunication Engineering:
    • Wireless communication, network protocols, signal transmission
    • Optical communications, satellite communications
    • Communication system design and analysis
  • Environmental Engineering and Sustainable Technology:
    • Waste management, pollution control, environmental remediation
    • Sustainable design and green engineering practices
    • Climate change mitigation technologies
  • Aerospace and Aeronautical Engineering:
    • Aerodynamics, aerospace structures, propulsion systems
    • Avionics, spacecraft design, unmanned aerial vehicles (drones)
  • Marine and Ocean Engineering:
    • Offshore engineering, naval architecture, ocean energy
    • Marine structures, coastal engineering
  • Biomedical Engineering (excluding overlapping content with Biomedical Sciences section):
    • Medical device engineering, biomaterials
    • Biomechanics, rehabilitation engineering
  • Emerging Technologies:
    • Internet of Things (IoT), nanotechnology applications
    • Micro-electro-mechanical systems (MEMS), additive manufacturing (3D printing)
    • Quantum engineering, advanced sensor technologies

Data Science

This section is dedicated to the field of Data Science, covering methods and applications related to data analysis, big data technologies, and data-driven decision-making.

Focus Areas:

• • Data mining, data warehousing, and data visualization.
  • Big data technologies and scalable data processing.
  • Statistical methods for data analysis.
  • Data science applications in various domains (excluding AI/ML techniques).

Artificial Intelligence and Machine Learning (AI/ML)

This section focuses exclusively on Artificial Intelligence and Machine Learning, including theoretical developments, algorithm design, and practical applications across various domains.

Focus Areas:

• • Development of new AI/ML algorithms and models.
  • Deep learning, neural networks, and reinforcement learning.
  • AI applications in robotics, automation, natural language processing, computer vision, etc.
  • Ethical considerations and societal impacts of AI/ML.

Biomedical Sciences and Bioengineering

This section invites research in Biomedical Systems, Bioengineering, and Bioinformatics. It aims to contribute to the understanding of biological systems and the development of biomedical technologies.

Focus Areas:

• • Advances in biomedical engineering and healthcare technologies.
  • Computational biology and bioinformatics applications.
  • Interdisciplinary studies combining life sciences with engineering and technology.

Social Sciences and Humanities

This section includes studies in Psychology, Social Behavior, Management Science, and other related disciplines. It aims to deepen the understanding of human behavior, societal dynamics, and cultural studies.

Focus Areas:

• • Psychological studies and behavioral analysis.
  • Social impact assessments and cultural studies.
  • Interdisciplinary research connecting social sciences with technology, AI/ML, and management.
  • Innovative teaching methods in engineering, Professional ethics, accreditation, and standards in engineering.

Business Sciences

This section focuses on research related to Business Sciences, including studies in Marketing, Finance, Accounting, Entrepreneurship, and Business Law. It aims to publish work that advances theoretical and practical understanding of business operations and strategies.

Focus Areas:

• • Marketing: Consumer behavior, digital marketing, branding strategies.
  • Finance: Corporate finance, investment analysis, financial markets.
  • Accounting: Financial reporting, auditing, accounting information systems.
  • Entrepreneurship: Startup ecosystems, innovation management, venture capital.
  • Business Law: Corporate governance, compliance, intellectual property rights.

Economics

This section is dedicated to the field of Economics, encompassing both Microeconomics and Macroeconomics. It seeks to publish research that contributes to economic theory, policy analysis, and the understanding of economic behaviors and systems.

Focus Areas:

• • Microeconomics: Consumer theory, firm behavior, market structures.
  • Macroeconomics: Economic growth, monetary and fiscal policy, unemployment.
  • International Economics: Trade policies, globalization effects, exchange rates.
  • Development Economics: Poverty alleviation, economic development strategies.
  • Environmental Economics: Resource management, sustainability, ecological impacts.

Management Sciences

This section encompasses research in Management Sciences, including Operations Management, Human Resource Management, Supply Chain Management, Strategic Management, and Operations Research. It aims to enhance the understanding of management practices and decision-making processes within organizations.

Focus Areas:

• • Operations Management: Process optimization, quality management, lean systems.
  • Human Resource Management: Talent acquisition, performance management, organizational behavior.
  • Supply Chain Management: Logistics, inventory control, supply chain analytics.
  • Strategic Management: Competitive strategy, organizational structure, corporate strategy.
  • Operations Research: Mathematical modeling, simulation, decision analysis.

Intelligent Computing: AI and Cloud Innovations for a Safer Future

In an era of digital transformation, Intelligent Computing is redefining security and efficiency across sectors, with Artificial Intelligence and Cloud Computing at the forefront. This theme delves into the innovative fusion of AI with cloud technologies, focusing on cybersecurity, data privacy, and operational resilience. As organizations increasingly adopt cloud solutions, leveraging AI for predictive analytics, real-time threat detection, and automated compliance has become essential for safeguarding sensitive information. Attendees will explore the latest in AI-driven security, cloud-based data protection, and intelligent frameworks that ensure a safer, more secure, and future-ready digital environment.

Bioinformatics, AI, and Cognitive Computing for Biomedical Image Analysis

Navigating the Future: The Role of AI in Transforming Management Practices

AI is revolutionizing management practices across various sectors. By enhancing decision-making, streamlining HR processes, and optimizing customer relationships, AI empowers organizations to operate more efficiently. Its impact on strategic management and innovation fosters adaptability in a rapidly changing market. Moreover, AI enhances financial oversight, supply chain efficiency, and employee engagement, driving productivity and satisfaction. However, ethical considerations, such as bias and data privacy, must be addressed. As AI integrates into business models, it not only transforms operations but also reshapes leadership and change management, positioning organizations for success in an increasingly competitive landscape.