People

Dr. Pakorn Ubolkosold
Associate Dean for Research and Academic Affairs
E-mail : pakorn.u@bu.ac.th
Phone :
Link : none
Address : 2nd floor, school of Engineering, Rangsit campus
Keyword : Image processing, Mobile applications, Software Defined Communication Systems,
3D display, Optical wireless communication
Recent Publications : 1. P. Ubolkosold , An Improved Method for DOA Estimation of GPS Signals, 4-th ECTI-CARD, Thailand, Jun(2012)
2. P. Saengudomlert and P. Ubolkosold , Software defined communication labs using the audio interface of laptop computers, in Proc. EECON-37, Thailand, 19-21 Nov (2014)
3. P. Ubolkosold , An Improved Frequency Estimation Method for LTE in Idle Mode, 34th Electrical Engineering Conference (EECON), Thailand(2011)
4. P. Ubolkosold, P. Tiawongsombat , A Study of Otsu Local Optimal Thresholding Algorithm, International Conference on Engineering Science and Innovative Technology (ESIT), Thailand(2014)
5. N. Nimpitiwan, P. Ubolkosold , Sensor Fusion for Balancing Robot, 36th Electrical Engineering Conference (EECON), Thailand(2013)
Biography : Pakorn Ubolkosold received the B.Eng. degree in electrical engineering in 2000 from Thammasat University (SIIT). In 2003 he received the M.Sc. degree in communications technology from Ulm University and the Dr.-Eng. degree in electrical engineering in 2009 from Siegen University. While working on his doctoral thesis he was the principle investigator in a project funded by the German research foundation in the area of data fusion technique using Kalman filters for integrated navigation systems.

From 2008 to 2011 he joined technical staff at the ST-Ericsson, Germany. He worked on several algorithms and functional design for LTE Physical layer. In 2011, he joined the electronics and telecommunication department, school of engineering, Bangkok University. His currently research interests include wireless communications, applied estimation theory, and integrated navigation systems.

My research is in the area of parameters estimation and data fusion techniques for communication and navigation systems. Nonlinear filtering algorithms i.e., Kalman filter and its variants are applied to solve synchronization problems in communications where estimation and tracking of phase and frequency errors are crucial, and they are also used for the integrated GPS/INS (Inertia Navigation Systems) in navigation systems where two data sets of fundamentally different navigation sensors are combined.