Prof. Kristen Meiburger | Muscle Sonography | Best Researcher Award

Prof. Kristen Meiburger, Politecnico di Torino, Italy

Dr. Kristen M. Meiburger is an Associate Professor of Biomedical Engineering at the Department of Electronics and Telecommunications, Politecnico di Torino, Italy, a position she has held since February 2025. She earned her Master’s Degree in Biomedical Engineering from Politecnico di Torino in 2010, followed by a Ph.D. in Biomedical Engineering in 2014 from the Scuola Interpolitecnica di Dottorato at the same institution. Over the years, she has progressed through various academic roles, including Research Assistant, Postdoctoral Researcher, and Tenure-track Assistant Professor. Her research primarily focuses on ultrasound imaging, biomedical signal processing, and computational modeling in biomedical engineering. Dr. Meiburger has actively contributed to international research collaborations, including serving as a Visiting Ph.D. Student at the University of Texas at Austin and a Visiting Researcher at the University of Toronto. She is a member of the IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society (UFFC) and the IEEE Engineering in Medicine and Biology Society (EMBS). Her contributions have been recognized with several prestigious awards, such as the Gruppo Nazionale di Bioingegneria (GNB) Master’s Thesis Award and the Politecnico di Torino Ph.D. Quality Award.

Professional Profile:

ORCID

Suitability of Dr. Kristen M. Meiburger for the Best Researcher Award

Dr. Kristen M. Meiburger is an accomplished biomedical engineer specializing in ultrasound imaging, biophotonics, and medical image processing. Her research contributions, international collaborations, and prestigious academic trajectory position her as a strong candidate for the Best Researcher Award. Below are key factors supporting her nomination.

🎓 Education & Work Experience

2010 – Master’s Degree in Biomedical Engineering, Politecnico di Torino 🇮🇹
2011 (Jan – Dec) – Research Assistant in Biomedical Engineering, Politecnico di Torino 🔬
2012 (Jan) – 2014 (Dec) – Ph.D. in Biomedical Engineering, Scuola Interpolitecnica di Dottorato, Politecnico di Torino 🎓
2013 (Oct) – 2014 (Apr) – Visiting Ph.D. Student, Ultrasound Imaging & Therapeutics Lab, University of Texas at Austin 🇺🇸
2015 (Jan – Mar) – Scholarship Holder in Biomedical Engineering, Politecnico di Torino 🎖️
2015 (Apr – May, Aug – Sep) – Visiting Researcher, Biomedical Simulation Lab, University of Toronto 🇨🇦
2016 (Mar) – 2018 (July) – Post-Doc Research Assistant in Biomedical Engineering, Politecnico di Torino 🔍
2018 (July) – 2021 (Dec) – Non-Tenure-Track Assistant Professor in Biomedical Engineering, Politecnico di Torino 👩‍🏫
2021 (Dec) – 2022 (Jan) – Research Assistant in Biomedical Engineering, Politecnico di Torino 🔬
2022 (Feb) – 2025 (Jan) – Tenure-Track Assistant Professor, Politecnico di Torino 📚
2025 (Feb – Present) – Associate Professor of Biomedical Engineering, Politecnico di Torino 🏛️

🏆 Achievements & Recognitions

Published and presented research at multiple national and international conferences 🌍
Contributed significantly to ultrasound imaging and biomedical research 📊
Played an active role in international research collaborations with universities in the U.S. 🇺🇸 and Canada 🇨🇦

🎖 Awards & Honors

🏅 IEEE Memberships – Member of IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society (UFFC) & IEEE Engineering in Medicine and Biology Society (EMBS)
🏆 Master’s Thesis Award – Awarded by Gruppo Nazionale di Bioingegneria (GNB)
🥇 Ph.D. Quality Award – Recognized by Politecnico di Torino for outstanding research work

Publication Top Notes:

CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound Images

Softmax-Driven Active Shape Model for Segmenting Crowded Objects in Digital Pathology Images

Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm

Segmentation and Multi-Timepoint Tracking of 3D Cancer Organoids from Optical Coherence Tomography Images Using Deep Neural Networks

Impact of artificial intelligence‐based color constancy on dermoscopical assessment of skin lesions: A comparative study

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.

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.

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.