This page provides an overview of the ICE Industrial-AI team, their mission, expertise, and key areas of focus. It is structured to highlight the team's core competences, research areas, technologies, tools, and industry partnerships.
The ICE Industrial-AI team is a specialized research and development unit focused on applying artificial intelligence in industrial environments. As part of the Institute for Computational Engineering (ICE), the team bridges the gap between cutting-edge AI research and practical industrial applications.
- Empower industries with intelligent solutions to enhance efficiency, safety, and sustainability.
- Collaborate with industry partners to address real-world challenges and deliver impactful AI-powered solutions.
- Database-driven and hybrid process modeling.
- Advanced physical simulations.
- Robotics and intelligent agent systems.
- Natural language processing (NLP) and large language model (LLM) integration.
- Computer vision and data analytics.
The team is composed of experts with diverse roles and responsibilities:
- PhD holders with extensive academic and industrial expertise.
- Guide research vision, supervise projects, and ensure scientific excellence.
- Experienced postdoctoral and senior-level researchers.
- Lead advanced research initiatives and mentor junior team members.
- Emerging experts in AI and engineering.
- Contribute novel ideas and collaborate on solving real-world problems.
- Graduate students working on research-driven master's theses.
- Gain practical experience in AI and data-driven engineering solutions.
The team's core competences include:
- Database & Hybrid Process Modeling: Data-driven and physics-informed models for industry.
- Predictive Maintenance: Advanced analytics for equipment health monitoring.
- Robotics & Intelligent Control: AI-driven automation and adaptive control systems.
- NLP & LLM Agent Systems: Language-powered industrial intelligence.
- Computer Vision & Quality Control: Automated inspection and defect detection.
- Process Optimization: Continuous improvement through AI.
The team focuses on the following research areas:
- 🔗 Edge AI for Industrial IoT: Lightweight AI models for real-time processing at the edge.
- 🛠 Hybrid AI & Physics Modeling: Combining domain knowledge and data-driven learning for process simulation.
- 🤖 Robotics & Autonomous Systems: AI-driven adaptive control and decision-making in robotics.
- 🗣 LLM Agents for Industry: Industrial workflow automation using intelligent language agents.
- 📊 Predictive Maintenance & Optimization: Proactive equipment health monitoring and process improvement.
- 👁 Advanced Computer Vision: Automated inspection, defect detection, and visual process analytics.
The team leverages cutting-edge technologies and tools, including:
- PyTorch
- PyTorch-Lightning
- NVIDIA-IsaacSim
- LangChain
- Docker
- GPU-Computing
- Ansys
- Comsol
- Edge Computing
- Process Integrated Development
- Custom Solutions
The ICE Industrial-AI team collaborates with leading industrial companies across various sectors, including manufacturing, energy, automotive, and process industries. These partnerships enable the team to:
- Address real-world challenges.
- Ensure research has immediate practical applications.
- Engage in joint research projects, technology transfer initiatives, and custom solution development.