Group for smart IoT technologies and intelligent systems

PIoTIS

group leader

prof. Toni Perković, PhD

associates

prof. Joško Radić, PhD
prof. Maja Štula, PhD
prof. Petar Šolić, PhD
assoc. prof. Ivo Stančić, PhD

other researchers

Luka Kranjac, MScEng
Anamarija Mamić, MScEng
Marijan Šimundić-Bendić, MScEng
Ana Terzić, MScEng
Marija Zorić, MScEng
Marijana Čular
Ivan Ćaleta

Group description

The research group brings together expertise in smart IoT environments, digital health, and computer vision/artificial intelligence. It develops innovative solutions integrating the Internet of Things, wireless and networking technologies, signal processing, machine learning, deep learning, and computer vision, with applications in smart cities, Industry 4.0, eHealth, and intelligent sensor systems. The group collaborates on national and EU-funded research projects (Croatian Science Foundation – HRZZ, IRI, EuroHPC), develops prototypes for industrial and public-sector partners, and combines expertise in networking technologies, cybersecurity, biosignal processing, high-performance computing, and Edge AI into a multidisciplinary research environment.

Expertise and know-how

  • Networking Technologies
  • Wireless Networks
  • Internet of Things (IoT)
  • Machine Learning
  • Mobile Internet
  • Signal Processing
  • Network and System Security
  • Computer Forensics
  • Wireless Sensor Networks
  • Communication Systems
  • Data Analytics
  • Deep Learning
  • Cloud Computing
  • High-Performance Computing (HPC)
  • Bioinformatics
  • eHealth
  • Software Development
  • Computer Vision
  • Edge AI and Embedded Systems
  • Autonomous Robotic Systems

Research infrastructure

Laboratories

  • RFID Technology Laboratory
  • IoT Laboratory
  • Sensor IoT Systems Laboratory

Equipment

  • HF and UHF RFID readers
  • HF and UHF signal generators
  • Spectrum analyzer and Software-Defined Radio (SDR) systems
  • Digital oscilloscope
  • Arduino-based sensor systems
  • LPWAN-based systems (LoRaWAN, NB-IoT, Sigfox)
  • 3D printing equipment and printed circuit board (PCB) fabrication system
  • Nvidia T1000 GPU for developing deep learning models using diverse data sources
  • Nvidia Quadro RTX A5000 (24 GB VRAM)
  • EEG device
  • Indoor air quality sensors

Advanced computing resources

  • The group participates in the National Competence Centre for HPC/AI within the EuroCC2 (EuroHPC) project, providing access to advanced high-performance computing and AI infrastructure.

Key projects and references

  • SeaMate – AI-, LLM-, and IoT analytics-based virtual assistant for smart nautical management
  • Verification of Information Accuracy in the Fields of Energy and Computing
  • Digitalisation of the Civil Protection Plan through an IoT-Based Decision Support Platform
  • National Competence Centres in the Framework of EuroHPC Phase 2
  • SmartRideAI – Intelligent Systems for Safe and Sustainable Mobility

Collaboration opportunities

The group is open to collaboration with industry, the public sector, and research institutions in the development of solutions based on IoT technologies, artificial intelligence, and computer vision. Areas of particular interest include smart cities and smart buildings; digital health and wearable sensor systems; Industry 4.0 and the automation of manufacturing processes; cybersecurity and computer forensics; Edge AI and the deployment of algorithms on embedded and autonomous systems; high-performance computing (HPC) and access to HPC/AI infrastructure; as well as prototype development and digital transformation for industrial and public-sector partners. The group provides support throughout the entire innovation process – from research and concept development to implementation, validation, and technology transfer to end users.