ABOUT THE GROUP
The Research Group for High-Performance Computing and Data Analysis (IG02) was established in 2018 within the Department of Software Engineering at the Faculty of Electrical Engineering, Computer Science and Information Technology, Josip Juraj Strossmayer University of Osijek, Croatia.
IG02 brings together researchers with complementary expertise in high-performance computing, multimodal artificial intelligence, distributed systems, energy-efficient architectures, and blockchain technologies. The group develops powerful computing systems capable of processing heterogeneous and time-sensitive data in edge, distributed, and high-performance environments.
A central research direction of IG02 is the integration of AI models with advanced computing infrastructures, enabling real-time data analysis in complex and resource-constrained systems. The group works extensively on multimodal machine learning, anomaly detection, data fusion, and performance–energy optimisation across heterogeneous computing platforms.
IG02 is actively involved in European and national research initiatives, including Horizon projects such as NextAIRE, HRZZ-funded research activities, and EuroCC2, contributing to the European high-performance computing ecosystem. The group collaborates with industry partners on AIoT system prototyping, environmental monitoring solutions, and technology transfer initiatives, supporting the development and commercialisation of innovative data-driven products.
Through its interdisciplinary approach, IG02 advances secure, reliable, and computationally efficient AI-enabled systems for applications in environmental monitoring, industrial safety, smart infrastructures, biomedical analytics, and distributed digital ecosystems. The group also contributes to digital transformation initiatives, including AI-enhanced knowledge platforms and autonomous infrastructure management systems.
KEY RESEARCH AREAS
- High-performance and distributed computing infrastructures for AI systems
- Multimodal machine learning and real-time anomaly detection
- Resource-aware optimisation and evolutionary methods for intelligent systems
- Edge AI, AIoT, and digital platform architectures
- Secure distributed systems and blockchain-enabled infrastructures
RESEARCH AREAS
The IG02 group focuses on interconnected research domains that combine advanced AI methods with scalable and energy-aware computing systems, addressing challenges in environmental monitoring, digital transformation, intelligent infrastructure management, and industrial systems.
A major research line addresses multimodal artificial intelligence. The group develops deep learning models that integrate visual data, sensor streams, and temporal signals, with applications including air quality monitoring, fire hazard detection, anomaly detection in complex environments, as well as AI-enhanced decision-support and knowledge systems.
Another core domain is high-performance and energy-efficient computing. IG02 designs and evaluates distributed architectures, edge platforms, and cluster-based infrastructures for executing AI workloads. Research activities include benchmarking methodologies, workload modelling, scheduling optimisation, and performance–energy trade-off analysis.
The group also investigates distributed algorithms, as well as evolutionary and resource-aware optimisation strategies for time-critical systems, with emphasis on scalability and reliability in heterogeneous environments.
Blockchain architectures for resource-constrained and edge systems represent an additional research direction, ensuring data integrity, transparency, and secure distributed learning.
PROFESSIONAL EXPERTISE
The IG02 group combines strong theoretical foundations with advanced practical expertise in high-performance computing and AI-driven systems. Its members design, implement, and evaluate distributed and heterogeneous computing architectures, develop multimodal machine learning models, and optimise performance–energy trade-offs for time-critical applications. The group possesses proven capabilities in AIoT system prototyping, real-time data processing, and secure distributed infrastructures. Through participation in European and national competitive research programmes, including Horizon Europe projects, HRZZ-funded research, and EuroCC2 activities within the European HPC ecosystem, IG02 contributes to applied research, technology transfer, and reproducible experimental validation across academic and industrial environments.
KEY PROFESSIONAL EXPERTISE
- Design and optimisation of parallel and distributed computing systems
- Performance benchmarking and energy-efficiency analysis
- Development of multimodal AI models for real-time applications
- Edge AI system prototyping and AIoT integration
- Task scheduling and heuristic optimisation methods
- Blockchain system design and consensus mechanism evaluation
- Dataset construction, validation, and open science dissemination
- Experimental evaluation on HPC and heterogeneous platforms
