Track 1: AI in Healthcare and Biomedical Innovation
AI for Early Disease Detection – Exploring AI models for diagnosing diseases like Alzheimer’s, cancer, and cardiovascular conditions.
Personalized Medicine and Genomics – Leveraging AI to tailor treatment plans based on genetic data and patient history.
AI in Drug Discovery and Clinical Trials – Using machine learning to accelerate the development of new drugs and optimize clinical trials.
Healthcare Robotics and Automation – Implementing robotic systems for surgeries, patient care, and medical logistics.
Track 2: Autonomous Systems and Robotics
Robotic Process Automation (RPA) in Industries – Automating repetitive tasks and processes using AI-driven robots across various industries.
Autonomous Vehicles and Drones – Advancements in self-driving cars, delivery drones, and their role in transportation and logistics.
Collaborative Robots (Cobots) in Manufacturing – Integration of human and robot workforces in industrial environments for enhanced productivity.
AI in Precision Engineering and Robotics – Enhancing robotics with AI for higher accuracy in complex engineering tasks.
Track 3: Generative AI and Creative Intelligence
AI in Art and Content Creation – The role of generative AI in producing artwork, music, and literature.
AI in Gaming and Virtual Worlds – Transforming interactive experiences in gaming and virtual reality using generative AI models.
Deep Learning and Neural Networks in Creativity – Understanding how neural networks power AI creativity and its future applications.
AI and the Future of Media – Impact of AI on news, journalism, and media production.
Track 4: AI for Smart Cities and Sustainable Development
Smart Urban Infrastructure and IoT – Integration of AI and IoT to optimize traffic management, waste management, and urban services.
Energy Efficiency and AI in Smart Grids – Using AI to improve energy consumption, renewable energy integration, and smart grid optimization.
AI for Sustainable Agriculture and Food Security – Employing AI in agriculture to optimize crop production, reduce waste, and improve food security.
AI for Environmental Protection – AI applications in monitoring climate change, pollution levels, and wildlife conservation.
Track 5: AI Ethics, Policy, and Governance
AI Fairness and Bias Mitigation – Addressing bias in AI systems and ensuring fairness in decision-making models.
Regulations and AI Governance – Exploring global frameworks for AI governance and the future of AI regulations.
Transparency and Accountability in AI Systems – Ensuring transparency in AI algorithms and models to build trust and reliability.
AI in the Workforce: Ethical Considerations – The impact of AI on job displacement, workforce skills, and ethical implications of automation.
Track 6: Science and Its Applications
Quantum Computing and AI
Quantum Machine Learning and Hybrid AI-Quantum Models
AI in Quantum Cryptography and Secure Computing
AI for Quantum Hardware Design and Simulation
Quantum-Inspired AI Algorithms and Computing Models
Quantum AI for Drug Discovery and Molecular Modeling
AI for Climate Science and Environmental Modeling
AI in Neuroscience and Brain-Computer Interfaces
Bioinformatics and Computational Biology
AI in Space Exploration and Astronomy
Bioinformatics and Computational Biology
AI in Material Science and Engineering
Track 7: Management and AI-Driven Decision-Making
AI for Business Strategy and Operations
AI in Human Resource Management
AI in Marketing and Consumer Analytics
Risk Management and AI in Financial Systems
Track 8: Corporate Management and AI
AI in Strategic Planning and Decision-Making
AI for Supply Chain and Logistics Optimization
AI-Driven Customer Relationship Management (CRM)
AI for Corporate Sustainability and ESG Compliance
Track 9: Public and Institutional Management
AI in Public Administration and Governance
Smart Cities and AI-Powered Infrastructure
Education and AI-Powered Learning Systems
AI in National Security and Law Enforcement
Track 10: Big Data Analytics and AI
Predictive Analytics and AI-Based Forecasting
Real-Time Data Processing and AI Applications
AI for Business Intelligence and Decision Support
Scalable AI Architectures for Big Data
Track 11: AI in Social Sciences and Human Behavior
AI for Social Research and Behavioral Analysis
AI in Political Science and Policy Analysis
AI for Social Media Monitoring and Trend Prediction
AI in Psychological and Cognitive Studies
Track 12: AI for Solar Energy and Sustainability
AI for Renewable Energy Optimization
AI-Driven Climate Change Monitoring and Environmental Protection
Smart Grid and Energy Efficiency Solutions using AI
AI for Sustainable Agriculture and Resource Management
Important Dates:
Full Paper Submission: 31st March, 2025
Acceptance Notification: 4th April, 2025
Registration: 7th April, 2025
Presentation Submission: 7th April, 2025
Conference ON: 16th – 18th April, 2025
Publication:
Series Name: Springer Proceedings in Information and Communication Technology (Scopus) – Springer Nature
Journal Name: Journal of Visualized Experiments (SCIE, IF: 1.2) ( Special Issue: Recent Advancements in Quantum Computing )
Volume Name: Internet of Vehicles: Scope and Application of Artificial Intelligence-based Technologies – Springer Nature
Nova Science Publications, USA
Contact:
All questions about submissions should be emailed to sandip.mandal@uem.edu.in.