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CCEM Conference - 2025

Overview

The top-rated CCEM conference series, which was introduced in 2012, is now hosting the Thirteenth International Conference on Cloud Computing in Emerging Markets (CCEM).

In information technology, cloud computing has become a dominating and revolutionary paradigm. Over the past few years, cloud computing has become a dominating and revolutionary paradigm in information technology, and it is starting to have an impact on a wide range of sectors, including government, finance, telecommunications, education, retail, energy and utilities, and transportation. This field's research has become quite active and covers a wide range of topics, such as networking, storage, security, virtualization, efficient cloud architectures, enormous multi-tenancy, cloud application and service design, and cloud service administration. With AI algorithms evaluating massive amounts of data to create content specifically for target audiences, content production has become more dynamic and focused.

Deep Learning, IoT and Intelligent Systems, AI and Cloud Computing - Design of cloud services for emerging markets, Business process DevOps and Performance optimization Monitoring, management, maintenance; Automation in cloud environments Security, privacy, E-governance - Trust and data protection, Compliance and affordable security in cloud Sensor networks, and IoT, AI-driven fraud detection and cybersecurity, AI-driven predictive analytics - AI algorithms Agent systems, expert systems, AI Infused Automation & Autonomous Systems, AI and ethical issues, Computational Management including Optimization for Operations, Smart Governance & Policy Modelling, Risk Management & Computational Finance, Digital Transformation in Organizations, Human Resource Analytics Retail, Manufacturing Applications; Molecular Modelling, Chemical simulations, Computational Materials Science, Nanomaterials, Computational Fluid Dynamics & Engineering Simulations, Chemical reaction prediction, Quantum Computing in Chemistry & Physics are thematic areas of research worth an investigation.

Cloud computing continues to be the way of the future and many studies indicate that more than 50% of all information technology will be in this new paradigm within the next five to ten years. AI in the media and entertainment industry has seen a rise in innovation in this area too. AI is becoming increasingly important in gaming, podcasts, content suggestions, sentiment analysis, speech recognition, book publishing, film production, and marketing. This transformation has great implications for emerging markets which have the potential to leap frog mature markets in their adoption of cloud computing, combine cloud computing and mobile technologies, AI, Gen AI & Meta AI etc to introduce unique services that can transform the lives of billions, drive a much larger scale of adoption and challenge existing price points, while presenting unique challenges in areas such as security and user interfaces to Industry 4.0. AI in Language and Learning Cognition, AI in Legal and Justice Administration, AI in Arts and Computational Media Design, AI in Sustainability, ESG, CSR and Social Impact are thematic areas of research that demands an exploration.

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13th CCEM 2025

Conference tracks and topics

We invite both paper and demo submissions on relevant themes/ tracks and topics/ areas to explore under each theme, including but not limited to:

AI and Cloud Computing

SDG 3: Good Health & Well-being SDG 4: Quality Education SDG 8: Decent Work & Economic Growth SDG 9: Industry & Innovation SDG 16: Peace & Justice
Cloud infrastructure, Virtualization and Networking
Storage and architecture - Hybrid and multi-cloud
Edge and distributed cloud
Cloud as a Service (IaaS / PaaS / SaaS)
Database, Software and network services
Design of cloud services for emerging markets
Business process
DevOps and Performance optimization
Monitoring, management, maintenance
Automation in cloud environments
Security, privacy, E-governance - Trust and data protection
Compliance and affordable security in cloud
Sensor networks, and IoT
AI-driven fraud detection and cybersecurity
AI-driven predictive analytics - AI algorithms
Agent systems, expert systems
AI-Infused Automation & Autonomous Systems
AI and ethical issues
AI applications in engineering, finance, healthcare
AI-powered diagnostics and telemedicine platforms

Deep Learning, IoT and Intelligent Systems

SDG 3: Good Health & Well-being SDG 9: Industry & Innovation SDG 11: Sustainable Cities SDG 12: Responsible Consumption
Deep Learning models for big data
Deep Learning and cybersecurity in cloud environments
IoT enabled by cloud
Big data and AI
Sensor networks in IoT applications for smart cities, healthcare, environment, automation
Intelligent automation
Adaptive control systems
Collective computational intelligence
Intelligent monitoring and control
Knowledge management systems
Data-driven circular economy solutions

AI in Legal and Justice Administration

SDG 16: Peace & Justice SDG 17: Partnerships
Legal aspects of AI implementation
Service level agreements for AI systems
E-governance frameworks
Regulatory implications of AI
Policy analysis for AI adoption
Cloud-Based Administrative Systems
AI Policy simulation and impact assessment
Regulatory compliance automation
AI-driven data entry, report generation, and analysis
Cloud-Enabled Public Services
Citizen portals and digital identity management
Cloud-Based Collaboration for Administration

Computational Management

SDG 8: Decent Work & Growth SDG 9: Industry & Innovation SDG 16: Peace & Justice SDG 17: Partnerships
Business Analytics & Decision Science
AI in Strategic Management
Computational Optimization for Operations
Smart Governance & Policy Modeling
Risk Management & Computational Finance
Digital Transformation in Organizations
Human Resource Analytics
Retail and Manufacturing Applications
AI-Driven Customer Insights

AI in Language and Learning

SDG 4: Quality Education SDG 16: Peace & Justice
Cognitive aspects of language processing
Computational linguistics
Natural language processing (NLP)
AI for language understanding
Cognitive linguistic modeling
Speech and text analytics
Cloud-based e-learning platforms
Adaptive learning systems
AI-driven personalized education
Intelligent tutoring systems
Language processing tools for inclusive education

AI in Arts and Computational Media Design

SDG 9: Industry & Innovation SDG 10: Reduced Inequalities
AI-Driven Design Principles
AI-Augmented Visual Communication
AI for User Experience (UX) Design
Generative Design Tools
Algorithmic Music Composition
Cloud-Enabled Multimedia Production
Cloud-Based Media Distribution Systems
Automated Fact-Checking & Content Moderation
AI in Media Personalization
Cloud-Based Digital Asset Management
AI for Creative Automation
AI-driven Analytics for Equitable Resource Distribution
Cloud-Enabled Collaborative Media Projects

Computational Physical and Pure Sciences

SDG 3: Good Health SDG 7: Clean Energy SDG 9: Industry & Innovation SDG 12: Responsible Production SDG 13: Climate Action
Molecular Modeling and Simulation
Chemical Reaction Prediction
Computational Materials Science
Nanomaterials Design and Analysis
Computational Fluid Dynamics
Engineering Simulations
Quantum Computing in Chemistry & Physics
Machine Learning for Scientific Research
AI-Driven Scientific Discovery
Computational Approaches to Sustainable Energy
Climate Modeling and Simulation

AI in Sustainability, ESG, CSR and Social Impact

SDG 2: Zero Hunger SDG 3: Good Health SDG 6: Clean Water SDG 11: Sustainable Cities SDG 13: Climate Action
Cloud-based health data analytics for disease prediction
IoT-enabled remote patient monitoring
Cloud solutions for e-health records and interoperability
AI for clean and green environments
Agri-Tech & Precision Farming solutions
AI-driven digital payment systems
Smart city applications for civil services
AI in education accessibility
Environmental Intelligent Modeling
AI for Crisis Management and disaster response
Sustainable Livelihoods through AI
Equitable education technologies
Ecosystem restoration monitoring
ESG analytics and reporting
CSR impact measurement with AI

The goal

This research driven innovation conference has established itself as a unique conference that combines top notch peer-reviewed research papers (acceptance rate less than 10%), invited talks from renowned industry and government leaders, posters and demos showcasing latest innovations, a startup showcase highlighting the vibrant and fast growing business ecosystem around cloud, tutorials on cutting edge topics, and a doctoral symposium featuring some of the deep research topics being pursued by academic leaders.

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Conference Format

The conference will be a Three-day event that spans invited talks, peer reviewed paper presentations, tutorials, technology showcase followed by panel discussion.