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Data Science, the Internet of Things, and Artificial Intelligence

Data Science, the Internet of Things, and Artificial Intelligence

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The research group deals with the design, development, implementation and monetization of solutions that include data science, the Internet of Things and artificial intelligence.

The group’s research expertise is in the field of data-efficient machine learning, modelling of structured and unstructured data, planning of infrastructure for working with large data sets, high-performance computing systems in conditions and autonomous decision-making systems. The topics of the group research are focused on understanding and formalizing aspects of data-based intelligent behaviour for use in complex systems.

Techniques, along with algorithms and software prototypes, are being developed for a variety of applications and represent an increasingly important element in building more robust and intelligent data-based technologies. The research topics of the group include data management, statistics, machine learning, application of machine learning to natural language processing, application of machine learning to unstructured data, thinking based on probability models and decomposition and application of artificial intelligence systems.

This is a comprehensive research group that combines technical and social sciences with prototyping, advanced data use, data modelling, perceptual research of data products, and experience design of these products.

Selection of the most relevant publications:

  1. Zajec Srečko, Mršić Leo, Kopal Robert Managing Human (Social) Capital in Medium to Large Companies Using Organizational Network Analysis: Monoplex Network Approach with the Application of Highly Interactive Visual Dashboards, Konferencijski rad, znanstveni, objavljen u cijelosti, Advances in Intelligent Systems and Computing, International Conference on Innovative Computing and Communications, Proceedings of ICICC 2020, Volume 1 and 2, DOI 10.1007/978-981-15-5113-0, DOI 10.1007/978-981-15-5148-2_81(2021)
  2. Nikola Modrušan, Kornelije Rabuzin, Leo Mršić Intelligent Public Procurement Monitoring System Powered by Text Mining and Balanced Indicators, Konferencijski rad, znanstveni, objavljen u cijelosti, Springer DATA 2020  DATA 2020, CCIS 1446, DOI 10.1007/978-3-030-83014-4_6(2021)
  3. “Sarancha Vitaliy, Leo Mirsic, Stjepan Oreskovic, Vadym Sulyma, Bojana Kranjcec, Ksenija Vitale” Life Cycle Assessment and Management in Hospital Units Using Applicable and Robust Dual Group Based Parameter Model, Konferencijski rad, znanstveni, objavljen u cijelosti, Information and Communication Technology for Intelligent Systems; Proceedings of ICTIS 2020 DOI 10.1007/978-981-15-7062-9_33(2020)
  4. Klpeac, Mršić, Kopal Advanced portfolio management in big data environment with machine learning and advanced analytical techniques, Poglavlje u knjizi Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning, DOI: 10.4018/978-1-7998-8686-0(2021)
  5. Mršić Leo Application of distance measurement NLP methods for address and location matching in logistics, Konferencijski rad, znanstveni, objavljen u cijelosti, Springer  Studies in Computational Intelligence, Intelligent Information and Database Systems, 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8–11, 2019, Proceedings, DOI 10.1007/978-3-030-14132-5_11(2020)
  6. Ramljak, Ana; Furdek Turk, Martina; Lučić, Mavro; Udiković Kolić, Nikolina; Matijević, Slavica; Fafanđel, Maja; Chatzinotas, Antonis; Morić, Zlatan; Kuzmanovski, Vladimir; Petrić, Ines, Changes in structure and function of benthic microbial communities as a consequence of anthropogenically induced pollution of the Adriatic coastal zones // ECSA 59 – Using the best scientific knowledge for the sustainable management of estuaries and coastal seas : Book of Abstracts / Borja, Angel ; Elliott, Mike ; Fraschetti, Simonetta ; Humphreys, John ; Jennerjahn, Tim ; Katsanevakis, Stelios ; Little, Sally ; Teixeira, Heliana ; Uyarra, María C. (ur.). Spain: Elsevier, 2022. (poster, podatak o recenziji nije dostupan, sažetak, znanstveni)

Projects:

  1. H2020 DT-SPACE-26-BIZ-2020 InnORBIT: Empowering innovation intermediaries to generate sustainable initiatives to incentivise and accelerate the commercialisation of space innovation
  2. HRZZZ Varijante u repetitivnim strukturama višeg reda u centromernim i NBPF dijelovima genoma čovjeka i viših primata IP-2019-04-2757
  3. HRZZZ Pleitropija, genske mreže i putevi u izoliranim ljudskim populacijama: 10.001 Dalmatinac IP-2013-11-8875
  4. HRZZZ Protein carbonylation in healthy ageing and age-related disease – CarboNyx DOK-2018-01-7406
  5. Interreg DTP3-657-4.1 MELIA Observatory – Media Literacy Observatory for Active Citizenship and Sustainable Democracy
  6. EUREKA 2021-17149/NP Smart-En-Route
  7. Erasmus+ KA226-HE-094780 Digital Empowering Trough HPC Education – HiPowerEd
  8. IP-2020-02-6510 ”Struktura i funkcija mikrobnih zajednica kao karika koja nedostaje pri procjeni stanja okoliša u obalnim zonama pod antropogenim opterećenjem”. Projekt je još u tjeku.
  9. KK.05.1.1.02.0001 „Potencijal rizosfernog mikrobioma u prilagodbi poljoprivrede klimatskim promjenama“ prijavljen u sklopu otvorenog Poziva na dostavu projektnih prijedloga „Shema za jačanje primijenjenih istraživanja za mjere prilagodbe klimatskim promjenama (Ref. oznaka: KK.05.1.1.02), voditeljica Ines Sviličić Petrić (https://perspire.eu/)