AI2FUTURE2022 – 2 days, 40+ moving & inspiring discussion and presentations

13th & 14th of October 2022, Kraš Auditorium, Zagreb, Croatia
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FER – Faculty of Electrical Engineering and Computing

Stjepan Bogdan

Full professor, Department of Control and Computer Engineering

Stjepan Bogdan got BSEE, MSEE, and PhDEE in the field of electrical engineering at the University of Zagreb, Faculty of Electrical Engineering and Computing (FER).

Since June 1991, he has been working at the Department of Control and Computer Engineering at FER. He spent the school year 1996/97 as a visiting researcher at the Automation and Robotics Research Institute, University of Texas at Arlington. In December 2016, he was elected to the position of full professor in a permanent position. As a researcher, he participated in about thirty, and led a dozen development and research projects financed by the European Union, NATO, Min. science,  and domestic and foreign industry. He is currently participating in the implementation of 3 Horizon2020 projects (WatchPlant, ENCORE, AerialCore) and is the coordinator of the HorizonEurope project AeroSTREAM. He has published 4 books and more than 220 papers in journals and scientific conferences.

Prof. Bogdan is a member of professional associations and participates in dozens of program committees of scientific conferences, and is a member of editorial boards and reviewer of several scientific journals. He is an Associate Editor of 5 scientific journals. In 2013, he received the Science Award, awarded by the FER Faculty Council, in 2015, he received the Fran Bošnjaković Award, awarded by the University of Zagreb, and in 2021, he received the “Josip Lončar” gold plaque, awarded by the FER Faculty Council for scientific contribution in the field of autonomous systems, with an emphasis on the development of heterogeneous robotic systems.


Stjepan’s

Idea

The Watchplant

The lecture will present WATCHPLANT, a new Horizon 2020 EU Pathfinder project (EU-H2020-FETPROACTIVE), which proposes a radically new approach to the development of biohybrid system technology for in-situ monitoring of environmental parameters. This technology will enable the use of artificial intelligence to analyze the collected data in order to draw conclusions about the state of the environment based on the plant’s physiological response. The proposed solution will result in the creation of “smart biohybrid organisms” that will use plant sap (phloem) to detect changes in the environment at a very early stage. “Smart biohybrid sensors” will be integrated into complex networks that enable distributed information processing using artificial intelligence methods, distributed decision-making and environmental modelling, thus paving the way to “self-awareness” or “self-adjustment” of complex sensor networks.