World Academy of Autonomous Driving Sciences

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 ( WAADS) :

Gyula Mester, Professor

University of Szeged, Hungary

Orcid ID: 0000-0001-7796-2820

The Secretary General and Public Body Member of the World Academy (WAADS):

Janos Santa, Researcher,

Szeged, Hungary         

Orcid ID: 0009-0002-3014-8295

Members:

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,

Orcid ID:

Public body members:

Predrag Dasic,

Academician, Serbia

Orcid ID: 0000-0002-9242-274X

Dániel Tokody, researcher

Óbuda University, Budapest,Hungary 

Orcid ID: 0000-0002-9984-0434

Boris Dumnic Profesor,

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