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