AML-SINR 2027 Conference Banner
Date: 14 -15 July, 2027 Venue: Conference venue TBD Organized by: Organizing Committee
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AML-SINR 2027

The inaugural International Conference on Applied Machine Learning, Sustainable Infrastructure, and Network Resilience (AML-SINR 2027) is a prominent peer-reviewed global platform. The event brings together leading computer scientists, civil and electrical engineering experts, cybersecurity specialists, and industry innovators.

Modern society is fully dependent on interconnected, essential infrastructure systems, which range from smart grids and transportation networks to high-speed communication pipes. As these systems grow, they face two systemic vulnerabilities: the urgent need to shift to sustainable, zero-emission operations, and the growing threat of sophisticated cyberphysical attacks.

AML-SINR 2027 links these domains by emphasising how Advanced Artificial Intelligence and Machine Learning may be successfully applied to construct next-generation Sustainable Infrastructure and provide unbreakable Network Resilience.

Call for Papers (Technical Tracks)

Track 1: Applied Machine Learning & Intelligent Core Systems

  • Deep Learning Architectures, Neural Networks, and Large Foundation Models
  • Computer Vision, Object Detection, and Video Analytics for Infrastructure Inspection
  • Natural Language Processing (NLP) for Engineering Logs and Threat Intelligence
  • Explainable AI (XAI), Model Interpretability, and Trustworthy AI Systems
  • Reinforcement Learning for Real-Time Autonomous Control Loops
  • Big Data Engineering: Distributed Analytics, Cloud, and Multi-Modal Data Fusion

Track 2: Sustainable Systems & Smart Infrastructure Engineering

  • Smart Grids, Distributed Renewable Energy Systems, and Microgrid Control
  • IoT-Driven Structural Health Monitoring (SHM) for Bridges, Dams, and Buildings
  • Predictive Maintenance and Asset Lifecycle Management via Digital Twins
  • AI Analytics for Intelligent Water Systems, Automated Waste Management, and Traffic Optimization
  • Energy-Harvesting Micro-Sensors and Ultra-Low-Power Edge Networks
  • Climate-Resilient Infrastructure Planning and Predictive Disaster Modeling

Track 3: Network Resiliency, Edge Intelligence & Cybersecurity

  • Intrusion Detection and Prevention Systems (IDS/IPS) for Industrial Control Systems (ICS/SCADA)
  • Decentralized Inference, Edge Computing, and TinyML for Remote Sensor Nodes
  • Distributed Ledger Technologies (Blockchain) for Immutable Audit Trails and Smart Contracts
  • Software-Defined Networking (SDN) and Resilient 5G/6G Network Slicing
  • Adversarial Machine Learning: Defending AI Models from Data Poisoning and Evasion Attacks
  • Zero-Trust Architecture and Cryptographic Protocols for Cyber-Physical Systems (CPS)

Track 4: Cross-Disciplinary AI & Sustainable Development

  • Intelligent Transportation Systems (ITS) and Connected Autonomous Vehicles (CAVs)
  • Green Computing: Optimizing the Computational and Carbon Footprint of Large AI Models
  • Machine Learning for Macro-Level Environmental Forecasting and Emissions Tracking
  • Smart Agriculture, Precision Farming Matrix, and Automated Supply Chain Logistics
  • Data-Driven Policy Frameworks for Smart Cities and Circular Economy Operations

Important dates

Abstract submission opens

Open now

<p>Submit your work through the conference submission page.</p>

Full paper deadline

See submission page

<p>Follow the official instructions and submission format.</p>

Author notification

TBD

<p>Notifications will be shared after review.</p>

Early registration closes

TBD

<p>Register early once rates are published.</p>

Conference dates

2027

<p>Conference schedule will be announced soon.</p>

Sponsors