Call for Papers

Conference Tracks

The 2026 2nd IEEE International Conference on Emerging Trends in Engineering and Computing (ETECOM 2026) is a premier event, uniting researchers, professionals, and students to explore the latest advancements in engineering and computing. The conference serves as a platform to share innovative research, foster collaboration, and discuss emerging trends shaping the future of these fields. The conference will be hosted by the ENSTA Paris (École Nationale Supérieure de Techniques Avancées) on the 26th, 27th and 28th of October 2026. ENSTA Paris is a top-tier French grande école specializing in engineering, founded in 1741 and located in Palaiseau (Paris-Saclay). You are invited to submit your papers, which should be made on EDAS (https://edas.info/N35157) in the topics not limited to the tracks below:

Track 1: Artificial Intelligence (AI), Machine Learning (ML), and Cybersecurity

Deep learning algorithms and architectures
Foundation models and generative AI
Large language models (LLMs) and multimodal AI
Reinforcement learning for autonomous and intelligent systems
Explainable AI (XAI) and interpretable machine learning
Federated learning and distributed AI
Natural language processing and knowledge-based systems
Computer vision and image/video analytics
AI-driven optimization techniques
AI for decision support systems
Adversarial machine learning and secure AI
Cybersecurity, cyber threat intelligence, and digital forensics
Intrusion detection and prevention systems
Network security, privacy, and trust management
Data privacy and protection
Fraud detection, anomaly detection, and surveillance analytics
AI applications in healthcare, science, industry, and business
AI ethics, fairness, accountability, and governance
Public policy and regulation of AI technologies

Track 2: Data Science, Data Analytics, Digital Twins Applications, and Business Analytics

Data science methods and applications
Big data analytics and scalable data processing
Predictive, prescriptive, and descriptive analytics
Data mining and knowledge discovery
Data visualization and visual analytics
Time-series analysis and forecasting
Business intelligence and decision analytics
Financial analytics and risk modeling
Marketing analytics and customer behavior modeling
Supply chain and operations analytics
Smart city analytics and urban data intelligence
Digital twin modeling, simulation, and optimization
Digital twins for manufacturing and industry
Digital twins for smart buildings, infrastructure, and cities
Digital twins for healthcare and industrial systems
Data governance, quality, integration, and interoperability
Privacy-preserving analytics
AI-driven business transformation and intelligent enterprise systems

Track 3: Advanced Communication Systems, Networking, and Cloud Computing

Green communication systems and sustainable networking
Energy-efficient communication protocols for wireless networks
Next-generation wireless technologies and standards
5G, 6G, and beyond communication systems
Future Internet architectures and services
Optical communication networks and photonic systems
Fiber-optic systems and high-capacity backbone networks
Wireless communication theory and systems
Massive MIMO and millimeter-wave communications
Cognitive radio and dynamic spectrum access
AI-enabled and self-optimizing networks
Software-defined networking (SDN)
Network function virtualization (NFV)
Network slicing and virtualization
Cloud computing models, architectures, and services
Cloud-native networking and service orchestration
Edge-cloud continuum and distributed networking
Quality of Service (QoS) and Quality of Experience (QoE)
Security, privacy, and trust in communication networks
Sustainable cloud infrastructure and green data center

Track 4: Internet of Things (IoT), Sensor-Based Technologies, Smart Grid, Robotics, and Edge Computing

Internet of Things architectures and applications
IoT communication protocols and interoperability
IoT sensing, monitoring, networking, and routing
Sensor-based technologies and smart sensing systems
Wireless sensor networks and distributed sensing
IoT security, privacy, and trust management
Industrial IoT and Industry 4.0
Smart homes, smart cities, and smart environments
Internet of Vehicles and connected mobility systems
Smart grid communication and intelligent energy management
Energy-efficient IoT systems
Cloud, fog, and edge computing for IoT
Edge AI and intelligent edge systems
Real-time data processing at the edge
Robotics perception, planning, and control
Autonomous and collaborative robots
Human-robot interaction
Robotics in industrial, healthcare, and service applications
Cyber-physical systems and embedded intelligent systems
Digital twins for IoT, robotics, and smart infrastructure

Track 5: Smart Civil & Architectural Engineering, Intelligent Transportation Systems, and Geographic Information Systems

Smart construction materials and intelligent infrastructure
AI and data-driven methods for civil engineering
Building information modeling (BIM) and digital construction
Smart buildings and intelligent architectural systems
Green building design and sustainable architecture
Structural health monitoring and predictive maintenance
Resilient and sustainable urban infrastructure
Intelligent transportation systems and smart mobility
Traffic optimization and traffic safety
Intelligent traffic management and control
Autonomous and connected vehicles
Transportation planning and mobility analytics
Urban planning and smart infrastructure development
Geographic Information Systems (GIS) and geospatial technologies
Spatial analysis and geospatial modeling
Spatiotemporal data analysis and visualization
Remote sensing and GIS integration
Geospatial big data and analytics
GIS applications for sustainable development and smart cities
Disaster management, resilience, and environmental monitoring

Track 6: Emerging Trends in Mechanical and Industrial Engineering

Advanced manufacturing systems and smart factories
Industry 4.0 and Industry 5.0
Additive manufacturing and 3D printing
Digital manufacturing and cyber-physical production systems
Industrial automation and process optimization
Robotics and automation in manufacturing
Predictive maintenance and condition monitoring
Mechanical system design and optimization
Mechatronics and intelligent mechanical systems
Computational mechanics and simulation
Thermal systems and heat transfer applications
Renewable and sustainable energy systems
Energy storage systems and energy optimization
Sustainable production and circular manufacturing
Human factors and ergonomics in industrial systems
Operations research and industrial engineering analytics
Supply chain engineering and logistics optimization
Quality engineering and reliability analysis
Materials engineering and advanced engineering materials
AI applications in mechanical and industrial engineering

Track 7: Digital Transformation in Education, Business, Management & Finance

Digital transformation strategies and frameworks
Technology-enhanced learning and smart education
AI and analytics in education
Adaptive, personalized, and intelligent learning systems
Learning management systems and digital learning environments
Emerging technologies in classroom and academic management
Instructional design for digital education
Accessible and inclusive technology-enabled learning
Student engagement and learner support strategies
Ethics and responsible AI use in education
Digital business models and innovation management
Business process automation and enterprise transformation
Digital platforms, e-commerce, and platform ecosystems
FinTech, digital banking, and financial innovation
Blockchain applications in business and finance
Business analytics and intelligent decision-making
Digital leadership, governance, and organizational change
Risk management, cybersecurity, and compliance in digital business
Sustainability and ESG in digital transformation
Entrepreneurship and innovation in the digital economy