World Academy of Autonomous Driving Sciences (WAADS)
Artificial intelligence is fundamental to the advancement of autonomous driving systems. This research explores the core Artificial Intelligence technologies, including machine learning and computer vision, that enable vehicles to perceive their environment, make decisions and navigate safely.
The World Academy of Autonomous Driving Sciences, WAADS, investigates the challenges and future directions in developing robust and reliable Artificial Intelligence for fully autonomous vehicles. Headquarter is at: Hungarian Academy of Engineering, Budapest, Hungary.
The founder and president of the World Academy is:
Gyula Mester, Professor
University of Szeged, Hungary
Orcid ID: 0000-0001-7796-2820
The Secretary General of the World Academy is :
Janos Santa, Researcher
Szeged, Hungary
Orcid ID: 0009-0002-3014-8295
Members of the World Academy are :
Jianbing Shen, Professor
University of Macau, China
Orcid ID: 0000-0002-4343-623X
Shai Shalev-Shwartz, Professor
The Hebrew University, Israel
Orcid ID: 0000-0002-4893-2910
Jay Xiao, CEO of Tensor
Researcher, USA
Public body members:
Predrag Dasic, Academician, Serbia
Orcid ID: 0000-0002-9242-274X
Dániel Tokody, Óbuda University
Budapest Hungary
Orcid ID: 0000-0002-9984-0434
Boris Dumnic, Professor
University of Novi Sad, Serbia
Orcid ID: 0000-0002-1846-1986
Jelena Pisarov, Researcher
University of Novi Sad, Serbia
Orcid ID: 0000-0003-2757-9780
Sergiy Kovalevskyy, Professor
State Engineering Academy, Ukraina
Orcid ID: 0000-0002-4708-4091
Dalma Zilahy, Researcher
Óbuda University, Budapest, Hungary
Orcid ID: 0000-0001-9614-5498
Berek László, Researcher,
Óbuda University, Budapest Hungary
Orcid ID: 0000-0002-4126-1528
Cesar Bautista, Researcher
Óbuda University,Budapest, Hungary
Orcid ID: 0000-0002-1906-6961
Janos Santa, Researcher, Secretary General of the World Academy
Szeged, Hungary
Orcid ID: 0009-0002-3014-8295
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