ICE Industrial-AI 🧠🤖
About ICE Industrial-AI

The ICE Industrial-AI team as part of the OST Institute for Computational Engineering, is a specialized research and development unit focused on applied artificial intelligence in industrial environments. As part of the Institute for Computational Engineering (ICE), we bridge the gap between cutting-edge AI research and practical industrial applications.

Our mission is to empower industries with intelligent solutions that enhance efficiency, safety, and sustainability. We collaborate closely with industry partners to understand real-world challenges and develop AI-powered solutions that deliver measurable impact.

From database-driven and hybrid process modeling to advanced physical simulations, robotics, and intelligent agent systems, we harness the power of AI to transform industrial operations. Our expertise spans natural language processing, large language model integration, computer vision, and data analytics—enabling predictive maintenance, process optimization, quality control, and smart supply chain management. By combining machine learning with domain-specific physical modeling, we deliver solutions that drive efficiency, reliability, and innovation across the industrial landscape.

Our Team
🎯

Team Leader and Professors

PhD holders with extensive academic and industrial expertise

Guiding the research vision, supervising projects, and ensuring scientific excellence. Bringing decades of combined experience in AI, engineering, and applied research.
🧠

Senior Research Scientists

Experienced postdoctoral and senior-level researchers

Leading advanced research initiatives, mentoring junior team members, and driving innovation in AI methodologies and applications across multiple domains.
🔬

PhD Students and Junior Researchers

Emerging experts in AI and engineering

Engaging in cutting-edge research, contributing novel ideas, and collaborating closely with senior scientists to solve challenging real-world problems.
📚

Master Students (Thesis Support)

Graduate students working on research-driven master's theses

Developing specialized skills while contributing to ongoing research projects. Gaining practical experience in AI and data-driven engineering solutions.
Core Competences

Database & Hybrid Process Modeling

CORE

Data-driven and physics-informed models for industry

Development of AI models that integrate historical process data with physical simulations to accurately predict system performance. Our hybrid modeling approach enhances reliability, reduces calibration needs, and accelerates deployment.
Key Technologies:
Machine LearningHybrid AIProcess SimulationBig Data

Predictive Maintenance

ADVANCED

Advanced analytics for equipment health monitoring

AI-driven analysis of sensor data, vibration signals, and operational metrics to forecast equipment failures. These solutions minimize unplanned downtime, extend asset lifespan, and reduce maintenance costs.
Key Technologies:
Machine LearningIoTSignal ProcessingTime Series

Robotics & Intelligent Control

SPECIALIZED

AI-driven automation and adaptive control systems

Development of autonomous and semi-autonomous robotic systems with adaptive decision-making capabilities. Our solutions improve throughput, reduce errors, and enable safe human-robot collaboration in industrial environments.
Key Technologies:
RoboticsControl SystemsReinforcement LearningEdge AI

NLP & LLM Agent Systems

INNOVATIVE

Language-powered industrial intelligence

Integration of natural language processing and large language model agents for process monitoring, documentation automation, and intelligent decision support. These systems bridge human expertise with AI-driven insights for faster, more accurate operations.
Key Technologies:
NLPLLM IntegrationAI AgentsKnowledge Graphs

Computer Vision & Quality Control

SPECIALIZED

Automated inspection and defect detection

AI-powered visual inspection systems for real-time defect detection and process monitoring. Our solutions operate at industrial speeds with accuracy surpassing traditional QC methods.
Key Technologies:
Computer VisionCNNImage ProcessingEdge AI

Process Optimization

ADVANCED

Continuous improvement through AI

Implementation of adaptive AI algorithms that optimize energy usage, reduce waste, and improve yield. Our solutions dynamically adjust to changing production conditions for maximum efficiency.
Key Technologies:
OptimizationDeep LearningControl SystemsReal-time Analytics
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

Technologies & Tools

🧠 AI & Machine Learning

PyTorch PyTorch-Lightning NVIDIA-IsaacSim LangChain

⚡ Infrastructure

Docker GPU-Computing Ansys Comsol

🔧 Industrial

Edge Computing Process Integrated Developement Custom Solutions
Industry Partnerships

We maintain active collaborations with leading industrial companies across various sectors including manufacturing, energy, automotive, and process industries. These partnerships enable us to tackle real-world challenges and ensure our research has immediate practical applications.

Our collaborative approach involves joint research projects, technology transfer initiatives, and custom solution development. We work closely with industry partners from problem identification through solution deployment and ongoing support.