Assist. Prof. Dr. Seo Young Park | Radiology | Best Researcher Award

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Assist. Prof. Dr. Seo Young Park | Radiology | Best Researcher Award 

Assist. Prof. Dr. Seo Young Park | Radiology | Kyungpook National University | South Korea

Assist. Prof. Dr. Seo Young Park is a distinguished radiologist and academic researcher at Kyungpook National University Hospital, Republic of Korea, specializing in diagnostic imaging, radiological sensing, and image-guided interventions. She earned her Ph.D. in Radiological Sciences from a leading Korean university, where her doctoral work centered on the integration of advanced imaging modalities for improved disease detection and clinical decision-making. Dr. Seo Young Park possesses a strong professional background in radiology, with expertise spanning breast imaging, PET/CT diagnostics, and interventional radiology. She has been actively engaged in translational research that bridges medical imaging, sensor-assisted diagnostics, and image processing, contributing significantly to the advancement of clinical radiology practices. Her professional experience encompasses hospital-based research collaborations, imaging-based case studies, and mentorship roles that enhance both academic and clinical communities. Dr. Park’s research interests include the development of ultrasound and MRI-based sensing systems, radiomics, and the diagnostic application of artificial intelligence in oncology imaging. Her research skills encompass diagnostic image analysis, contrast-enhanced ultrasonography, PET/CT scanning, 3D imaging reconstruction, and case-based clinical assessment, which have led to a series of high-quality publications in peer-reviewed international journals. She has authored and co-authored more than 13 research papers indexed in Scopus, PubMed, and IEEE Xplore, with publications in leading journals such as Ultrasonography, Diagnostics, Journal of Breast Cancer, and Journal of the Korean Society of Radiology. Her scholarly contributions have been recognized by peers and institutions for their originality and impact on medical diagnostics. In recognition of her academic excellence and scientific contribution, Dr. Seo Young Park has received institutional honors and is an active member of professional societies including the IEEE and Korean Society of Radiology, participating in international conferences and clinical research collaborations.

Professional Profiles: ORCID  

Featured Publications 

  1. Park, S. Y., & Cho, H. (2024). A solid pseudopapillary tumor arising in ovary with multiple metastasis: A case report. Investigative Magnetic Resonance Imaging. (Citations: 5)

  2. Park, S. Y., et al. (2024). Primary invasive ductal carcinoma arising in axillary accessory breast: A case report. Journal of the Korean Society of Radiology. (Citations: 8)

  3. Park, S. Y., et al. (2024). Diagnostic accuracy of contrast-enhanced ultrasonography for the assessment of small renal mass: A prospective study. Journal of Urologic Oncology. (Citations: 6)

  4. Park, S. Y., et al. (2024). Clinical role of upfront F-18 FDG PET/CT in determining biopsy sites for lung cancer diagnosis. Diagnostics. (Citations: 10)

  5. Park, S. Y., et al. (2023). A radiation-induced low-grade myofibroblastic sarcoma in the retropectoral area after breast conserving surgery: A case report. Journal of Breast Cancer. (Citations: 7)

  6. Park, S. Y., & Jeon, G. (2023). Assessment of diagnostic performance of risk factors affecting extraprostatic extension: Role of zonal level of prostate cancer. Current Medical Imaging. (Citations: 4)

  7. Park, S. Y., et al. (2022). Unexpected hyperechoic lesions of the breast and their correlations with pathology: A pictorial essay. Ultrasonography. (Citations: 12)

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

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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

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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:

CITED : 7
CITED : 7
CITED : 4
CITED : 4
CITED : 3