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[66] A. Voulodimos, N. Doulamis, A. Doulamis, and E.
Protopapadakis, "Deep learning for computer vision: a brief
review," Comput. Intell. Neurosci., vol. 2018, pp. 1-13, 2018.

mechatronic devices and solutions, design and implementation of interdisciplinary solutions as smart and assistive
devices, robotic systems.

[67] Y. LeCun, Y. Bengio, and G. Hinton, "Deep learning," Nature, vol.
521, no. 7553, pp. 436-444, May 2015.

Darius Plikynas (darius.plikynas@vgtu.lt) is Professor and
Chief Research Fellow at Vilnius Gediminas Technical University, Lithuania. He is also affiliated as a Professor at the
Institute of Data Science and Digital Technologies at Vilnius
University. He received his physics engineer degree in informatics and networks (1997) and the Ph.D. in economics (2003)
at Vilnius University. He is interested in multidisciplinary
fundamental and applied research, including computational
intelligence, complexity science, modeling of individual and
social behavior, development of smart and assistive devices,
etc.
Aru¯nas Žvironas (arunas.zvironas@vgtu.lt) is a Researcher at
Kaunas University of Technology, Institute of Mechatronics
and Senior Researcher at Vilnius Gediminas Technical University, Lithuania, in the Department of Business Technologies
and Entrepreneurship. He received the B.S. (1996) and M.S
(1999) degrees in informatics and the Ph.D. degree in informatics engineering (2006) from Kaunas University of Technology,
Lithuania. His interests include research and prototyping of
multi-purpose robotic systems, smart and assistive devices.
Marius Gudauskis (marius.gudauskis@vgtu.lt) is a Researcher at the Institute of Mechatronics, Kaunas University
of Technology, Lithuania, and a Project Researcher in the Department of Business Technologies and Entrepreneurship,
Vilnius Gediminas Technical University, Lithuania. He received the B.S. degree in informatics engineering (2007), the
M.S. degree in mechanics engineering (2009), and the Ph.D.
degree in mechanics engineering (2014) from the Kaunas
University of Technology. His interest fields are R&D of

Povilas Daniušis (povilas.daniusis@vgtu.lt) is working as the
Lead R&D Engineer at Neurotechnology's AI and Robotics
Division and as a Research Fellow at Vilnius Gediminas Technical University, Department of Business Technologies and
Entrepreneurship, Lithuania. He received the B.S. degree in
mathematics from Šiauliai University (2005), the M.S. degree
in mathematics from Vilnius University (2007), and the Ph.D.
degree in computer science from Vilnius University (2012),
Lithuania. His main research interests are deep learning, perception-action loop, adaptive robotics, causal inference, and
kernel methods in machine learning.
Andrius Budrionis (andrius.budrionis@vgtu.lt) is a Senior Research Fellow at the Norwegian Centre for E-health Research
in Norway and Vilnius Gediminas Technical University in
Lithuania. He received the B.S. (2008) and M.S (2010) degrees
in software engineering from Vilnius University, Lithuania
and a Ph.D. degree in computer science (2015) from the Arctic
University of Norway, Tromsø, Norway. His interests include
large scale e-health solutions, data-driven healthcare and advanced data analytics methods.
Ieva Sliesoraityte˙ (isliesoraityte@gmail.com) is currently
working as an Ophthalmologist and Senior Consultant at Institut Arthur Vernes, Paris, France. She is also affiliated as a
Senior Researcher at Vilnius Gediminas Technical University,
Lithuania. Her research interests are mostly related to ophthalmology. Dr. Sliesoraityte˙ received a Doctor of Medicine degree
(2005) at Vilnius University, Lithuania, her Ophthalmology
board certificate at the Kaunas University of Medicine (2008),
Lithuania, and a bachelor's degree in electrical and electronics engineering in Kaunas University of Technology (2008),
Lithuania.

IEEE Instrumentation & Measurement Magazine

June 2020

Instrumentation & Measurement Magazine 23-4

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