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Prof. Kristen Meiburger | Muscle Sonography | Best Researcher AwardĀ 

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 Masterā€™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) Masterā€™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.

šŸŽ“ Education & Work Experience

  • 2010 ā€“ Masterā€™s Degree in Biomedical Engineering, Politecnico di Torino šŸ‡®šŸ‡¹
  • 2011 (Jan ā€“ Dec) ā€“ Research Assistant in Biomedical Engineering, Politecnico di Torino šŸ”¬
  • 2012 (Jan) ā€“ 2014 (Dec) ā€“ Ph.D. in Biomedical Engineering, Scuola Interpolitecnica di Dottorato, Politecnico di Torino šŸŽ“
  • 2013 (Oct) ā€“ 2014 (Apr) ā€“ Visiting Ph.D. Student, Ultrasound Imaging & Therapeutics Lab, University of Texas at Austin šŸ‡ŗšŸ‡ø
  • 2015 (Jan ā€“ Mar) ā€“ Scholarship Holder in Biomedical Engineering, Politecnico di Torino šŸŽ–ļø
  • 2015 (Apr ā€“ May, Aug ā€“ Sep) ā€“ Visiting Researcher, Biomedical Simulation Lab, University of Toronto šŸ‡ØšŸ‡¦
  • 2016 (Mar) ā€“ 2018 (July) ā€“ Post-Doc Research Assistant in Biomedical Engineering, Politecnico di Torino šŸ”
  • 2018 (July) ā€“ 2021 (Dec) ā€“ Non-Tenure-Track Assistant Professor in Biomedical Engineering, Politecnico di Torino šŸ‘©ā€šŸ«
  • 2021 (Dec) ā€“ 2022 (Jan) ā€“ Research Assistant in Biomedical Engineering, Politecnico di Torino šŸ”¬
  • 2022 (Feb) ā€“ 2025 (Jan) ā€“ Tenure-Track Assistant Professor, Politecnico di Torino šŸ“š
  • 2025 (Feb ā€“ Present) ā€“ Associate Professor of Biomedical Engineering, Politecnico di Torino šŸ›ļø

šŸ† Achievements & Recognitions

  • Published and presented research at multiple national and international conferences šŸŒ
  • Contributed significantly to ultrasound imaging and biomedical research šŸ“Š
  • Played an active role in international research collaborations with universities in the U.S. šŸ‡ŗšŸ‡ø and Canada šŸ‡ØšŸ‡¦

šŸŽ– Awards & Honors

  • šŸ… IEEE Memberships ā€“ Member of IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society (UFFC) & IEEE Engineering in Medicine and Biology Society (EMBS)
  • šŸ† Masterā€™s Thesis Award ā€“ Awarded by Gruppo Nazionale di Bioingegneria (GNB)
  • šŸ„‡ Ph.D. Quality Award ā€“ Recognized by Politecnico di Torino for outstanding research work

PublicationĀ 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 intelligenceā€based color constancy on dermoscopical assessment of skin lesions: A comparative study

Prof. Kristen Meiburger | Muscle Sonography | Best Researcher Award

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