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Member Profile
 Dr Romuald Jolivot

Dr Romuald Jolivot

Faculty member
romuald.j@bu.ac.th

Biography

Dr. Romuald Jolivot received a B.Eng degree in Electrical and Electronic Engineering and Computer Vision in 2006 from Université 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, Informatique 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. He is teaching courses on Research Methodology, Computer Programming and Optical Engineering.

Research Areas

Publications with BU-CROCCS

  1. Nur Aina’a Mardhiah Zainuddin, Antonin Laforgue, Sakoolkan Boonruang, Dr. Waleed Mohammed, Dr. Romuald Jolivot
    Solution-Based Fertilizer Detection Using Guided-Mode Resonance Optical Sensors: A Comparative Study with a Commercial Multispectral Sensor
    Engineering Journal, Volume 30, Issue 8,
    2026
  2. Sakoolkan Boonruang, Shu-Han Hsu, Chao-An Jong, Waleed S. Mohammad, Romuald Jolivot
    Guided-mode resonance sensor arrays using metal oxides for highly selective VOC detection
    SPIE/COS Photonics Asia Symposium, 24 - 26 October 2026, Nantong, Jiangsu China, 2026
    2026
  3. Khwanchai Tantiwanichapan, Romuald Jolivot, Apichai Jomphoak, Nantarat Srisuai, Chanunthorn Chananonnawathorn, Tossaporn Lertvanithpol, Mati Horprathum, and Sakoolkan Boonruang
    Demonstration of cross reaction in hybrid graphene oxide/tantalum dioxide guided mode resonance sensor for selective volatile organic compound
    Scientific Reports
    2023
  4. Kankan Swargiary, Romuald Jolivot, Waleed S Mohammed
    Demonstration of a Polymer-Based Single Step Waveguide by 3D Printing Digital Light Processing Technology for Isopropanol Alcohol-Concentration Sensor
    Photonic Sensors 12 (1), 10-22
    2022
  5. H Deb, N Srisuai, S Bonruang, R Jolivot, C Promptmas, WS Mohammed
    3D-printed Guided Mode Resonance Readout System for Biomedical and Environmental Applications
    Engineering Journal 25 (6), 35-43
    2021
  6. K. Swargiary, P. Jarutatsanangkoon, P. Suwanich, R. Jolivot and W. S. Mohammed
    Single step 3D printed integrated optical system and its implementation for sensing application using Digital Light Processing technology
    Applied Optics, Vol. 59 No. 1
    2020
  7. Hironmay Deb, Nantarat Srisuai, Romuald Jolivot, Chamras Promptmas, Waleed Mohammed and Sakoolkan Boonruang
    Enhanced Sensitivity of Guided Mode Resonance Sensor through Super-Mode Excitation at Near Cut-off Diffraction
    Optics and Laser Technology, Volume 132, December
    2020
  8. Eidi Mohammad Atef, Romuald Jolivot, Waleed Mohammed, Karel Sterckx
    Low Cost Solar Power System with Open Loop Tracking for Rural and Developing Areas
    Engineering Journal Volume 24 Issue 5
    2020
  9. Gael Robin, Anant K. Shukla, Romuald Jolivot
    Low-cost digital telescope remotely controlled
    Engineering Journal, May 2019, vol. 23, no. 3
    2019
  10. Samuel Lozachmeur, Pimrapat Thanusutiyaporn, Atthasit Sukham and Romuald Jolivot
    Safety monitoring and museum visitor behavior measurement using fisheye camera
    2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)
    2019
  11. Simran Agarwal, Romuald Jolivot, Waleed Mohammed
    An approach to realisation of a Radial Phase mask using 3-D printing in transparent PLA
    Accepted for ECTI Transactions on Electrical Engineering, Electronics, and Communications
    2018
  12. Manjunath Somarapalli, Romuald Jolivot, Waleed Mohammed
    Realization of Low-Cost Multichannel Surface Plasmon Resonance Based Optical Transducer
    Photonic sensors,December 2018, Volume 8, Issue 4, pp 289–302
    2018
  13. Boonrasri Seeleang; Waleed Mohammed; Sakoolkan Boonruang; Romuald Jolivot; Songpol Ongwattanakul; Chamras Promptmas
    Boronic acid Functionalized Guided Mode Resonance Sensor for HbA1c Detection
    accepted for the 2018 Biomedical Engineering International Conference BMEiCON
    2018
  14. S. Sachdeva, R. Jolivot and W. Choensawat
    Android Malware Classification Based on Mobile Security Framework
    IAENG International Journal of Computer Science, accepted in October 2018, to appear
    2018
  15. Pimrapat Thanusutiyaporn, Atthasit Sukkham, Eyael Phemius, Romuald Jolivot and Waleed Mohammed
    Controllable Hologram-Like Image of Late ban Chiang Pottery: Enhancement of storytelling in the Museum Exhibition Display
    ASEAN Museum Forum 2018: connecting museums converging people
    2018
  16. 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
  17. Boonrasri Seeleang,Sakoolkan Boonruang, Romuald Jolivot, Waleed Mohammed, Chamras Promptmas
    Label­free Guided Mode Resonance Sensor For Detection Of Glycated Hemoglobin
    in Proceedings of CLEO Pacific Rim, Singapore 2017
    2017
  18. M. Perrot, G. M. Htoo, W. S. Mohammed, R. Jolivot
    Detection of facial areas for digital make-up application on a 3-view display
    International Conference on Engineering Science and Innovative Technology (ESIT)
    2016
  19. A. Merlet, R. Jolivot
    Filter-less low cost multispectral imaging system
    International Conference on Engineering Science and Innovative Technology (ESIT)
    2016
  20. 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