Dr. Mateusz Winder | Radiology | Best Researcher Award

Dr. Mateusz Winder | Radiology | Best Researcher Award 

Dr. Mateusz Winder | Radiology | Medical University of Silesia | Poland

Dr. Mateusz Winder is a distinguished clinician and researcher at the Medical University of Silesia and affiliated hospitals in Katowice, Poland, with extensive expertise in radiodiagnostics, interventional radiology, internal medicine, and oncological chemotherapy. He obtained his medical degree from the Medical University of Silesia, with additional specialized training in anaesthetics at the University of Edinburgh and internal medicine and endocrinology at the American University of Beirut, complemented by studies in healthcare management at the University of Economics in Katowice, reflecting a strong interdisciplinary foundation. Dr. Winder’s professional experience spans over a decade in clinical practice and research, including leadership roles in radiology and nuclear medicine departments, where he has contributed to optimizing imaging protocols, advancing diagnostic accuracy, and improving physician ergonomics. His primary research interests encompass medical imaging innovations, ultrasound biomechanics, kinematic assessment of physicians during procedures, contrast-enhanced mammography, and patient-centered diagnostic optimization, highlighting a focus on the intersection of technology, human factors, and clinical outcomes. Dr. Winder possesses strong research skills in quantitative imaging analysis, data-driven evaluation of musculoskeletal loads, AI-assisted diagnostic systems, and design of observational clinical studies, enabling him to integrate cutting-edge technology with practical clinical applications. He has contributed more than 40 peer-reviewed publications indexed in Scopus, with citations reflecting growing academic influence, and has collaborated internationally to enhance knowledge exchange in radiology and oncology. Dr. Winder has been recognized for his innovative contributions to medical diagnostics, mentorship of emerging clinicians, and involvement in interdisciplinary projects promoting evidence-based healthcare practices.

Professional Profile: ORCID | Scopus

Selected Publications 

  1. Winder, M., et al. (2025). Breast neuroendocrine neoplasms – characteristics in contrast-enhanced mammography. Endokrynol. Pol.

  2. Winder, M., et al. (2025). Kinematic assessment of the physician’s body position and musculoskeletal loads during breast and abdominal ultrasound examinations. Journal of Clinical Medicine.

  3. Galus, W., Winder, M., et al. (2025). Does vitamin D supplementation slow brain volume loss in multiple sclerosis? A 4-year observational study. Nutrients.

  4. Suchoń, S., Burkacki, M., Chrzan, M., Winder, M. (2025). What ranges of probe pressure are applied during ultrasound examinations? A systematic review. Sensors.

  5. Winder, M., et al. (2024). Subcapital femoral neck fracture in a professionally active patient undergoing palliative treatment for endothelial cell-derived epithelioid haemangioendothelioma (EHE). Reports.

Dr. Francisco Maria Calisto | Medical Imaging | Best Researcher Award

Dr. Francisco Maria Calisto | Medical Imaging | Best Researcher Award 

Dr. Francisco Maria Calisto, Institute for Systems and Robotics, Portugal

Francisco Maria Calisto is a PhD candidate in Computer Science and Engineering at Instituto Superior Técnico, Universidade de Lisboa, Portugal, where he also completed his MSc and BSc degrees. His doctoral research, supervised by Prof. Jacinto Nascimento and Prof. Nuno Nunes, focuses on the human-centered design of personalized intelligent agents in medical imaging diagnosis, aiming to enhance clinical decision-making through the integration of AI. He has been a doctoral researcher at ISR-Lisboa, where he developed intelligent agents to assist in breast cancer diagnosis, and has held visiting scholar positions at Carnegie Mellon University, working on human-machine collaboration in healthcare. Francisco’s academic contributions include various scholarships, teaching assistant roles, and research fellowships, along with expertise in deep learning techniques and user-centered design approaches in healthcare technology. He is actively involved in research that bridges human-computer interaction and medical applications, aiming to improve diagnostic efficiency and clinician satisfaction.

Professional Profile:

SCOPUS

ORCID

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award

Based on the provided curriculum vitae of Francisco Maria Calisto, it is evident that he is an exceptionally qualified candidate for the Best Researcher Award in the field of Computer Science and Engineering. His extensive academic and research background highlights several key attributes that support his suitability for this recognition.

📚 Education:

  • 🎓 PhD in Computer Science and Engineering (2024) – Instituto Superior Técnico, Universidade de Lisboa, Portugal
  • 🎓 MSc in Information Systems and Computer Engineering (2018) – Instituto Superior Técnico, Universidade de Lisboa, Portugal
  • 🎓 BSc in Computer Science and Engineering (2017) – Instituto Superior Técnico, Universidade de Lisboa, Portugal

💼 Work Experience:

  • 🔬 Doctoral Researcher (2020 – 2024) – ISR-Lisboa, Lisbon, Portugal
  • 🌎 Visiting Scholar (2022 – 2023) – Carnegie Mellon University (CMU), USA
  • 🏥 Research Fellow (2018 – 2019) – Interactive Technologies Institute (ITI), Lisbon, Portugal
  • 🤖 Research Engineer (2016 – 2018) – ISR-Lisboa, Lisbon, Portugal
  • 🖥️ Online Editor & Web Developer (2016 – 2017) – Elsevier (Remote, UK)
  • 🧠 Research Assistant (2015 – 2017) – INESC-ID, Lisbon, Portugal
  • 💡 Summer Intern (2015) – INESC-ID, Lisbon, Portugal

🎓 Teaching Experience:

  • 👨‍🏫 Invited Teaching Assistant (2023 – Present) – Instituto Superior Técnico (IST), Lisbon, Portugal
  • 🏫 Teaching Assistant (2019) – Instituto Superior Técnico (IST), Lisbon, Portugal
  • 📖 Supporting Lecturer (2016 – 2019) – Instituto Superior Técnico (IST), Lisbon, Portugal

🏆 Achievements, Awards & Honors:

  • 🎖️ FCT Scholarship (2020 – 2024) – Fundação para a Ciência e a Tecnologia (PD/BD/150629/2020)
  • 🏅 CMU Portugal Program Scholarship (2018 – 2019) – (CMU/ECE/0005/2017)
  • 🎓 BL89/2017-IST-ID Scholarship (2017 – 2018)
  • 🌍 Developed BreastScreening-AI Framework – Enhancing breast cancer diagnosis using AI
  • 🏆 Published in Top Scientific Journals & Conferences – Google Scholar: KI0G_SUAAAAJ

Publication Top Notes:

BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions

Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification

BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis

Dimensions Of Trust Scale (DOTS) LaTeX Version: v1.0.2-alpha

Towards touch-based medical image diagnosis annotation

 

Prof. Kristen Meiburger | Muscle Sonography | Best Researcher Award

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