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. Tanya Mendez | Radiology Award | Best Researcher Award

Dr. Tanya Mendez | Radiology Award | Best Researcher Award

Dr. Tanya Mendez, NMAM Institute of Technology, Nitte, Karkala, India

Tanya Mendez is an accomplished researcher and educator in the field of Electronics and Communication Engineering, currently based in Mangalore, India. She earned her Ph.D. from Manipal Institute of Technology, MAHE, where her thesis focused on the development of ASIC-based computational units for stand-alone image processing applications, under the guidance of Prof. Dr. G. Subramanya Nayak. Tanya’s research expertise includes low-power VLSI techniques and ASIC implementation, particularly in error-tolerant adders, multiplier architectures, and digital image processing algorithms.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the Best Researcher Award:

  • Tanya Mendez specializes in VLSI and embedded systems, with a particular focus on developing ASIC-based computational units and low-power VLSI techniques. Her research includes designing error-tolerant adders, power-efficient multipliers, and optimized arithmetic units for digital image processing.

Education:

  • Ph.D. in Electronics and Communication Engineering
    Manipal Institute of Technology, MAHE, Manipal
    2020 – 2024
    Thesis: Development of ASIC Based Computational Unit for Stand-Alone Image Processing Applications
    Advisor: Prof. Dr. G. Subramanya Nayak
    Coursework Aggregate: 9.86 CGPA
  • Master of Technology in VLSI & Embedded Systems
    Model Engineering College, CUSAT University, Kerala, India
    2009 – 2011
    Project: Design and Implementation of an ETCO2 Disorder Detection System on an Embedded Platform with Ethernet Communication Capability
    Aggregate: 8.71 CGPA
  • Bachelor of Technology in Electronics and Instrumentation
    KMEA Engineering College, M.G University, Kerala, India
    2003 – 2007
    Main Project: Application of Linear Regression Model in Avionic Package Checkout System
    Mini Project: Centralized Electricity Billing
    Aggregate: 82.6%
  • CBSE 12th Board Exam
    Toc-H Public School, Vyttila, Kerala, India
    2002 – 2003
    Aggregate: 86.6%
  • CBSE 10th Standard Exam
    Toc-H Public School, Vyttila, Kerala, India
    2000 – 2001
    Aggregate: 81.6%

Professional Experience:

  • Research Scholar
    Manipal Institute of Technology, Manipal
    Sep 2020 – May 2024

    • Designed and developed low-power VLSI architectures and error-tolerant adders.
    • Implemented ASIC modifications and evaluated computational units for digital image processing.
    • Utilized tools such as Cadence Genus, Xilinx ISE, Vivado, and MATLAB.
    • Managed labs related to VLSI, microprocessor, and digital system design.
  • Assistant Professor
    Alva’s Institute of Engineering and Technology, Mangalore
    Jul 2015 – Sep 2020

    • Taught courses including Fundamentals of CMOS VLSI, Optical Fiber Communication, and Embedded Systems.
    • Managed labs for VLSI, microcontroller, and embedded system design.
  • Assistant Professor
    Shreedevi Institute of Technology, Mangalore
    Jul 2013 – May 2014

    • Handled subjects such as Basic Electronics, Analog Electronics, and Advanced Microcontrollers.

Publication top Notes:

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