Prof Dr. Michel Jourlin | Brightness Inversion Award | Best Researcher Award

Prof Dr. Michel Jourlin | Brightness Inversion Award | Best Researcher Award 

Prof Dr. Michel Jourlin, Hubert Curien Laboratory, Jean Monnet University, Saint-Etienne, France

Michel Jourlin is an Emeritus Professor at the Hubert Curien Laboratory (UMR CNRS 5516) at Jean Monnet University in Saint-Etienne, France. He holds a State Doctorate in Pure Mathematics, which he earned with First Class Honours and special Congratulations in 1984. His academic career began as a senior lecturer at Jean Monnet University, where he established the Image Processing team at the TSI Laboratory, now part of the Hubert Curien Laboratory. In 1988, he became the head of the Electronics and Image Department at ICPI in Lyon and later, following the merger of ICPI and ESCIL to form CPE-Lyon, he served as the Scientific Director and head of the Electronics, Telecoms, and Computing section. He was instrumental in creating the LISA Laboratory (Image, Signal, and Acoustics), a CNRS-recognized research unit.

Professional Profile:

 

Summary of Suitability for Best Researcher Award

Michel Jourlin is a distinguished Emeritus Professor at the Hubert Curien Laboratory, Jean Monnet University, Saint-Etienne, France. With a State Doctorate in Pure Mathematics earned with First Class Honours and numerous contributions to the field of image processing, Professor Jourlin has demonstrated an exemplary academic and research career.

Education:

  • 1984: Achieved a State Doctorate in Pure Mathematics with First Class Honours and Congratulations.

Work Experience:

  • 1984: Began his academic career as a Senior Lecturer at Jean Monnet University, where he played a pivotal role in establishing the ‘Image Processing’ team at the TSI Laboratory, which later evolved into the Hubert Curien Laboratory.
  • 1988: Became the Head of the Electronics and Image Department at ICPI, Lyon.
  • 1992: After the merger of ICPI and ESCIL engineering schools to form CPE-Lyon, he was appointed Scientific Director of CPE and Head of the ETC section (Electronics, Telecoms, Computing). During this period, he was also instrumental in the creation of the LISA Laboratory (Image, Signal, and Acoustics), an EP CNRS unit.
  • 2000: Joined the ISTASE engineering school (which became Telecom Saint-Etienne in 2008) as a Professor. In 2001, he launched the ‘Digital Image and Vision’ course at the school.
  • 2003: Played a key role in bringing 3rd-year students from the Ecole Supérieure d’Optique, now IOGS, to Saint-Etienne to acquire image processing skills through a specialized ‘Image, Vision Signal’ Master’s course.
  • 2008: Contributed to the creation of the ERIS group (Eclairage, Rendu visuel, Imagerie optique, Sécurité opto-numérique) within the Laboratoire Hubert Curien (UMR 5516) in collaboration with Pierre Chavel. He was responsible for Axis 1, focusing on ‘Lighting, Visual Rendering.’
  • 2008-2015: Served as an Expert for the Ministry of Higher Education and Research.
  • 2011-Present: Continues to serve as an Emeritus Professor at Jean Monnet University. Over his career, he has supervised 42 PhDs and 4 HDRs. His work on the Logarithmic Image Processing (LIP) model has garnered over a thousand citations, leading to numerous publications and the publication of a book titled ‘Logarithmic Image Processing: Theory and Applications’.

Michel Jourlin’s contributions to image processing, especially the LIP model, are widely recognized in the scientific community, and he continues to be an active researcher and reviewer for prestigious journals.

 

Publication top Notes:

CITED: 471
CITED: 272
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CITED: 113

 

Dr. Ju Liu | Optical | Best Scholar Award

Dr. Ju Liu | Optical | Best Scholar Award

Dr. Ju Liu, Changchun University of Science and Technology, China

Liu Ju, born on October 23, 1990, in the vast and diverse land of China, is a dedicated and ambitious individual of Han Chinese ethnicity. He is currently a doctoral candidate at Changchun University of Science and Technology, where he specializes in Information and Communication Engineering.Liu Ju’s academic journey is marked by his enrollment in the full-time doctoral program at this prestigious institution on September 5, 2020. His diligent efforts and commitment are set to culminate in his graduation on June 30, 2023. Throughout his academic career, he has demonstrated an unwavering passion for his field, contributing to his development as a skilled and knowledgeable scholar.

Professional Profile

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Orcid

 

🎓 Education Journey:

Liu Ju embarked on his higher education journey at the prestigious Changchun University of Science and Technology. Enrolling as a full-time student, he began his doctoral studies in Information and Communication Engineering on September 5, 2020. He is a committed scholar in the realm of regular higher education and is expected to graduate on June 30, 2023.

🏫 Institution:

Changchun University of Science and Technology is renowned for its academic excellence and innovation. As a doctoral candidate, Liu Ju has been part of a vibrant academic community, engaging in cutting-edge research and contributing to the advancement of his field.

🔬 Major:

Information and Communication Engineering, a dynamic and rapidly evolving field, has been Liu Ju’s focus during his doctoral studies. His work in this area is expected to have a significant impact on the future of communication technologies.

📅 Enrollment and Duration:

Liu Ju’s journey at Changchun University of Science and Technology began in the fall of 2020. With a determined spirit, he has been pursuing his studies diligently and is on track to complete his program within the expected duration of three years.

🔍 Verification:

To verify Liu Ju’s academic credentials, the Ministry of Education’s online academic verification report can be accessed using the online verification code A2T8GUXCC7MWQZDV. The report provides detailed information about his academic status, ensuring transparency and authenticity.

Publications Notes:📄

Polarization image demosaicing and RGB image enhancement for a color polarization sparse focal plane array

Multiple Scattering Properties Based on Modified Microsurface pBRDF Model

Joint target geometry and polarization properties for polarization image fusion

Polarization image fusion method based on polarization saliency with generator adversarial network

DoLP and AoP Synthesis from division of focal plane polarimeters using CycleGAN