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

 

Dr. Marco Favetta | Radiation Physics Awards | Best Researcher Award

Dr. Marco Favetta | Radiation Physics Awards | Best Researcher Award 

Dr. Marco Favetta, ASP Trapani, Italy

Marco Favetta is an accomplished medical physicist currently serving as the Head of the Medical Physics and Trapani Radiotherapy Departmental Unit at A.S.P. Trapani since 2024. he has built a robust career in medical physics, with prior roles as Dirigent Physicist at the University Hospital Consortium Company Polyclinic of Bari and ASST-Lodi. Marco obtained his Diploma of Specialization in Medical Physics from the University of Catania with top honors, and he holds a PhD in Physics focused on medical applications. He has extensive teaching experience, having lectured on medical physics and applied physics at the University of Catania. Marco is also recognized for his contributions to research, including collaboration with ELI Beamlines in Prague, where he led projects in innovative radiotherapy technologies. His professional expertise extends to HR and economic management within healthcare, showcasing his managerial skills in resolving complex issues and fostering collaboration among multidisciplinary teams. Marco is dedicated to advancing medical physics through research, education, and innovation, making significant contributions to the field and mentoring future professionals.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Based on the impressive qualifications and contributions of Marco Favetta, I believe he is exceptionally suitable for the Best Researcher Award. His extensive research background, particularly in the field of Medical Physics and laser-driven technologies, demonstrates a strong commitment to advancing knowledge and innovation in photonics and radiation therapy.

Education 🎓

  • Specialization in Medical Physics
    University of Catania
    Date: 15 July 2014
    Grade: 70/70
    Thesis: “Special Techniques of Radiotherapy: from planning to treatment verifications”
  • PhD in Physics, Medical Physics
    University of Salento
    Date: 2 May 2007 – 30 April 2010
    Thesis: “MR image analysis for the early diagnosis of Alzheimer’s dementia: identification of a template base for the hippocampus area”
  • Degree in Physics
    University of Catania
    Date: 20 December 2006
    Grade: 110/110
    Thesis: “Detection of neutrinos of very high energy: study of underwater acoustic background noise”

Work Experience 💼

  • Head of Medical Physics and Trapani Radiotherapy Departmental Unit
    A.S.P. Trapani
    Date: 2024 – Present
  • Dirigent Physicist, Medical Physics
    University Hospital Consortium Company Polyclinic of Bari
    Date: 2017 – 2024
  • Dirigent Physicist, Medical Physics (on leave)
    A.S.P. Siracusa
    Date: 2020 – 2021
  • Dirigent Physicist, Medical Physics
    ASST-Lodi
    Date: 2015 – 2017
  • Senior Post Doc
    IMM-CNR, Catania, Italy
    Date: 2014 – 2015
  • Scientific Associate
    CNR – IMM
    Date: 2013 – 2015
  • Junior Post Doc
    INFN, National Laboratories of the South, Catania, Italy
    Date: 2011 – 2012
  • Graduate School of Medical Physics
    University of Catania, Italy
    Date: 2010 – 2014
  • Scientific Associate
    INFN
    Date: 2005 – 2014

Achievements 🏆

  • Notable managerial skills demonstrated at the Polyclinic of Bari, with recognition from the head of the U.O.S.D. of Health Physics.
  • Collaboration with the ELI Beamlines research center in Prague, coordinating experiments and overseeing a diverse team.
  • Developed international collaborations and networks in oncology, dosimetry, and X-ray imaging.
  • Participated in the Megatalenti project, presenting a business idea and creating a corresponding business plan.

Awards and Honors 🥇

  • Recognized for dedication and passion for research and innovation.
  • Solid reference point for colleagues, demonstrating leadership and the ability to inspire.

Publication Top Notes:

Characterization of kHz Repetition Rate Laser-Driven Electron Beams by an Inhomogeneous Field Dipole Magnet Spectrometer

BIOESOnet: A Tool for the Generation of Personalized Human Metabolic Pathways from 23andMe Exome Data

Silicon nitride surfaces as active substrate for electrical DNA biosensors

Development of Si-based electrical biosensors: Simulations and first experimental results

ELIMED: a new hadron therapy concept based on laser driven ion beams