People: Members

Dr Romuald Jolivot

Faculty member


Dr. Romuald Jolivot received a B.Eng degree in Electrical and Electronic Engineering and Computer Vision in 2006 from Univerisité de Bourgogne, France. In 2008, he received a joined Erasmus Mundus Master in Computer Vision and Robotics (ViBot) from Heriot-Watt University (UK), Universitat de Girona (Spain) and Université de Bourgogne (France). He then joined Laboratoire Electronique, Informationque et Image (LE2I) at Université de Bourgogne where he obtained a Ph. D. degree in Instrumentation and Computer Vision in 2011. During 2012-2013, he served as a Postdoctoral Researcher at Photonic Technology Laboratory (PTL) from NECTEC, Thailand where he worked on biomedical imaging project. Since April 2014, he is a research scholar at the School of Engineering at Bangkok University, Thailand. Research interests Computer vision; Image processing; Medical imaging; Multi/hyperspectral imaging; Biomedical instrumentation

Research areas

Image Processing,

Publications with BU-CROCCS

  1. Simran Agarwal, Romuald Jolivot, Michael Komodromos, Waleed Mohammed , Optical Beam Shaping Design through Optimization of a Radial Phase Mask, Accepted for ECTI CON 2017, Thailand(2017)
  2. Boonrasri Seeleang,Sakoolkan Boonruang, Romuald Jolivot, Waleed Mohammed, Chamras Promptmas , Label­free Guided Mode Resonance Sensor For Detection Of Glycated Hemoglobin, Accepted for CLEO Pacific Rim, Singapore 2017(2017)
  3. M. Perrot, R. Jolivot, W. S. Mohammed , Detection of facial areas for digital make-up application on a 3-view display, International Conference on Engineering Science and Innovative Technology (ESIT)(2016)
  4. A. Merlet, R. Jolivot , Filter-less low cost multispectral imaging system, International Conference on Engineering Science and Innovative Technology (ESIT)(2016)
  5. N. Khemthongcharoen, A. Ruangphacha, P. Sarapukdee, S. Rattanavarin, R. Jolivot, U. Jarujareet, K. Plaimas, P. Bhattarakosol, S. Patumraj and W. Piyawattanametha , Novel p16 binding peptide development for p16-overexpressing cancer cell detection using phage display, Journal of Peptide Science(2015)