Oleksandr Artemenko



Mailing Address:
Computer Science Dept
420 Westwood Plaza
Los Angeles, CA, 90095

UCLA Boelter Hall,


Phone Number:

Personal Webpage:

Personal Information

Education History

Oleksandr Artemenko (Alex) is a research assistant at the Faculty of Computer Science and Automation of the Ilmenau University of Technology (TU-Ilmenau), Germany, in the Integrated Communication Systems Group. Additionally, he is a member of the International Graduate School on MOBILE COMMUNICATIONS (GS-MobicoM) in Ilmenau since March 2009.
M.Sc. Artemenko received his B.Sc. and second M.Sc. degree from the Dept. of Intellectual Computer Systems and Networks, Odessa National Polytechnic University, Ukraine, in 2005 and 2010 respectively. His first M.Sc. degree he received from the Dept. of Applied Computer Sciences, University of Applied Sciences Erfurt, Germany, in 2008 (DAAD two years scholarship 2006-2008). After that he was participating in the three years PhD program at the University of Applied Sciences Erfurt in the period from 2008 till 2011.
The focus of his PhD is the development of improvement algorithms for localization in wireless networks.
His research activities are focused on self-organizing location estimation issues in wireless networks, security techniques and embedded systems. He also teaches on wireless networks, network security, embedded systems and industrial control and automation technology.


Research Interest

Wireless networks
Localization in wireless networks


Indoor Localization and Navigation of Wheelchair Users

Localization indoor is a great challenge.
The proposed here localization system consists of the wheelchair, mounted magnets (8 on each wheel), two reed switches (one per wheel), and a Bluetooth mouse. Both reed switches are connected to the mouse buttons. Ones the mouse is connected to a smartphone via Bluetooth the proposed system begins to operate. Each time a magnet comes closer to a reed switch a “mouse button is clicked” event occurs. Knowing the diameter of the wheels, the distance that the wheelchair made can be estimated. We get a relative localization.
To enhance the provided accuracy, an accelerometer of a smartphone can be used.

Recent Publications