32nd LISBON International Conference on Advances in Engineering & Technology: LAET-26

Call for papers/Topics

Topics of Interest for Submission include, but are Not Limited to:


1. Digital Transformation & Information Technology

This category focuses on how we process data and automate intelligence. It is the "brain" behind most modern engineering.

  • Artificial Intelligence & Machine Learning

    • Generative AI and Large Language Models (LLMs)

    • Neural Networks and Deep Learning

    • Computer Vision and Natural Language Processing (NLP)

  • Cybersecurity & Cryptography

    • Blockchain and Decentralized Ledgers

    • Zero-trust Architecture

    • Quantum-resistant Encryption

  • Quantum Computing

    • Quantum Bit (Qubit) Development

    • Cryogenic Engineering for Computing

  • Internet of Things (IoT)

    • Edge Computing

    • Smart Sensors and Actuators

2. Sustainable Energy & Environmental Engineering

As global priorities shift toward decarbonization, these topics focus on how we power the planet without destroying it.

  • Renewable Energy Systems

    • Next-gen Photovoltaics (Perovskite Solar Cells)

    • Offshore Wind Turbine Technology

    • Tidal and Geothermal Energy Extraction

  • Energy Storage & Grid Tech

    • Solid-state Batteries

    • Hydrogen Fuel Cells and Green Hydrogen Production

    • Smart Grids and Microgrids

  • Carbon Management

    • Direct Air Capture (DAC)

    • Carbon Sequestration and Storage (CCS)

3. Advanced Materials & Nano-Engineering

This is an "interrelated" foundation; breakthroughs here enable better batteries, stronger buildings, and faster chips.

  • Nanotechnology

    • Carbon Nanotubes and Graphene Applications

    • Nanomedicine (Targeted Drug Delivery)

  • Smart Materials

    • Shape-Memory Alloys

    • Self-healing Concrete and Polymers

    • Piezoelectric Materials (Energy-harvesting surfaces)

  • Biomaterials

    • Synthetic Biology Scaffolds

    • Bio-compatible Implants

4. Robotics & Autonomous Systems

This involves the physical manifestation of AI, focusing on movement, precision, and interaction.

  • Autonomous Vehicles

    • LiDAR and Sensor Fusion

    • Unmanned Aerial Vehicles (UAVs/Drones)

  • Human-Robot Collaboration

    • Cobots (Collaborative Robots) in Manufacturing

    • Exoskeletons for Rehabilitation and Labor

  • Swarm Robotics

    • Collective Intelligence Algorithms

5. Aerospace & Space Exploration

Engineering for extreme environments requires a blend of propulsion, materials, and communication.

  • Space Infrastructure

    • Reusable Launch Vehicles (Rocketry)

    • Satellite Constellations (Low Earth Orbit)

  • Propulsion Systems

    • Ion and Plasma Thrusters

    • Hypersonic Flight Technology