http___www.iot.fer.hr_index.php_ivana-podnar-zarko__1.xml
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Official website with the list of all published papers Gordan Ježić is a professor at the Department of Telecommunications of the Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia. He received a B. Sc. and Ph.D. from the University of Zagreb in 1995, 1999 and 2003, respectively. Since 1996, he works at the Department of Telecommunications of the University of Zagreb Faculty of Electrical Engineering and Computing (FER). His research interest includes telecommunication networks and services focusing particularly on parallel and distributed systems, Machine-to-Machine (M2M) and Internet of Things (IoT) systems, communication networks and protocols, mobile software agents and multi-agent systems. Gordan Ježić is a project leader of the research project Machine-to-Machine Communication Challenges (M2MCC) (2010-2019) funded by the Ericsson Nikola Tesla. He was a project leader of the research project Looking to the Future funded by Croatian Regulatory Authority for Network Industries (HAKOM) (2010-2017), an investigator of the H2020 projects Symbiosis of smart objects across IoT environments (symbIoTe) (2016-2018) and DL-Tags: Decentralized, privacy-preserving and verifiable management of Smart Tags (2018) funded by EU and an investigator of the projects Human-centric Communication in Smart networks (HUTS) and Managing Trust and Coordinating Interactions in Smart Networks of People, Machines and Organizations funded by the Croatian Science Foundation (2014-2017). He participated in 3 scientific projects financed by the Ministry of Science, Education and Sports of the Republic of Croatia, 1 COST Action IC0801 Agreement Technologies (AT) (2009-2012) and continuously participate in research projects funded by Ericsson Nikola Tesla from 1996. He actively participates in numerous international conferences as a paper author, speaker, member of organizing and program committees or reviewer. He co-authored over 100 scientific and professional papers, book chapters and articles in journals and conference proceedings. Last six years he was an organizer and a general co-chair of the International KES Conference on Agents and Multi-agent Systems – Technologies and Applications (KES-AMSTA). He is a senior member of IEEE Communication Society, IEEE FIPA (The Foundation for Intelligent Physical Agents), KES International, member of technical committee of IEEE SMC on Computational Collective Intelligence, and leader of technical committee of KES Focus Group on Agent and Multi-agent Systems.
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Službena stranica s popisom radova Ivana Podnar Žarko je redoviti profesor na Sveučilištu u Zagrebu Fakultetu elektrotehnike i računarstva gdje predaje kolegije u području raspodijeljenih informacijskih sustava i Interneta stvari. Diplomirala je, magistrirala i doktorirala u polju elektrotehnike na FER-u, 1996., 1999. odnosno 2004. godine. Usavršavala se je na Tehničkom sveučilištu u Beču, Austrija i Ecole Polytechnique Fédérale de Lausanne, Švicarska. U prosincu 2017. godine izabrana je u zvanje redovitog profesora. Voditelj je FER-ovog Laboratorija za Internet stvari. Sudjelovala je u nizu istraživačkih projekata financiranih iz domaćih izvora i fondova EU te je bila tehnički koordinator H2020 projekta symbIoTe: Symbiosis of smart objects across IoT environments. Sudjeluje kao istraživač u radu Znanstvenog centra izvrsnosti za znanost o podatcima i kooperativne sustave koji je prvi je nacionalni centar izvrsnosti u području tehničkih znanosti u Hrvatskoj. Objavila je preko 60 znanstvenih radova u časopisima i zbornicima radova u području raspodijeljenih sustava, Interneta stvari i obrade velike količine podataka te je bila član programskog odbora većeg broja međunarodnih znanstvenih skupova. Prof. dr. sc. Podnar Žarko je član svjetske stručne udruge IEEE, a od 2011. do 2014. godine je bila predsjednica Odjela za komunikacije Hrvatske sekcije IEEE. Primila je nagradu Hrvatske sekcije IEEE za izniman inženjerski doprinos u 2013. godini. Objavljeni radovi: ResearchGate, Google Scholar