Applied AI & Data Intelligence
We develop and apply artificial intelligence solutions focused on real-world industrial and research use cases. Our work combines AI algorithms with sensor data, embedded systems, industrial IoT platforms, and large-scale information systems.
We specialize in transforming complex and heterogeneous data into predictive models, intelligent diagnostics, and decision-support tools that operate reliably in real environments.
Our AI solutions are designed to integrate seamlessly with existing systems and workflows, delivering measurable value through improved efficiency, reliability, and automation.
Specialization areas
Data analysis & Intelligent methods
We analyze industrial, operational, and research data using statistical methods, domain expertise, and machine learning. Our approach focuses on extracting meaningful insights, identifying patterns and anomalies, and supporting decision-making.
Multimodal data processing & Analysis
We process and integrate heterogeneous data from multiple modalities, including tabular data, time series, images, text, audio. We enable coherent analysis and interpretation of complex data across diverse sources and systems.
Intelligent information systems
We build information systems with integrated analytics, decision support, and automation capabilities. Our systems connect data sources, processing pipelines, and user interfaces into reliable platforms used in industry, research, and public institutions.
Predictive models & Reliability analysis
We develop predictive and reliability models based on historical and real-time data to support monitoring, diagnostics, risk assessment, and maintenance planning. These models help improve system availability, safety, and operational efficiency.
Embedded & Edge intelligence
We design efficient data processing and intelligent algorithms for embedded systems and industrial IoT devices operating under real-time, performance, and low-power constraints. Our solutions enable monitoring and control close to the data source.
Visualization & Digital twins
We combine data analysis and intelligent models with advanced visualization, simulation, and immersive technologies such as 3D and virtual reality. These solutions support data interpretation, training, and digital twin applications.
Ongoing projects
Reliability modeling
Reliability Modeling for Wide-Bandgap Power Electronics
Applied research on wide-bandgap (WBG) power semiconductor devices, integrating large-scale data analysis and artificial intelligence to develop predictive reliability models and support intelligent control of advanced power systems.
Document management system
Intelligent Document Management and AI-Based Knowledge Systems
Development of AI-enhanced document digitalization system, combining automated document ingestion, optical character recognition (OCR), and metadata extraction with intelligent content understanding. The project focuses on transforming large volumes of unstructured documents into structured, searchable knowledge assets.
Advanced language models and retrieval-augmented generation techniques are integrated to enable intelligent search, contextual information retrieval, and assisted content generation, supporting efficient access to information within complex document repositories.
