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. Dr. Zhongjie Guo | Photo Detector Awards | Best Researcher Award

Prof. Dr. Zhongjie Guo | Photo Detector Awards | Best Researcher Award

Prof. Dr. Zhongjie Guo, Xi’an University of Technology, China

Zhongjie Guo received his B.S. and M.S. degrees in Measurement and Control Technology and Instrumentation, and Circuit and System from Xidian University, China, in 2004 and 2007, respectively. He earned his Ph.D. degree in Microelectronics Engineering from Xi’an Microelectronic Technology Institute, China, in 2012. Currently, he is a professor at Xi’an Technological University, where his research focuses on the design of high-performance mixed-signal integrated circuits. With a strong academic background and expertise in microelectronics, Dr. Guo has contributed significantly to the field, advancing the development of integrated circuit technology.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Zhongjie Guo

Zhongjie Guo’s extensive academic background and ongoing contributions to the field of microelectronics make him a strong candidate for the Best Researcher Award. He earned his B.S. and M.S. degrees in measurement and control technology and instrumentation, and circuit and system from Xidian University in China, followed by a Ph.D. in microelectronics engineering from Xi’an Microelectronic Technology Institute in 2012. Currently, he serves as a professor at Xi’an Technological University, where his primary focus is the design of high-performance mixed-signal integrated circuits.

Education:

  • B.S. in Measurement and Control Technology and Instrumentation, Xidian University, China (2004)
  • M.S. in Circuit and System, Xidian University, China (2007)
  • Ph.D. in Microelectronics Engineering, Xi’an Microelectronic Technology Institute, China (2012)

Work Experience:

  • Current Position: Professor at Xi’an Technological University
    • Specializes in the design of high-performance mixed signal integrated circuits.

Publication top Notes:

Global Ramp Uniformity Correction Method for Super-large Array CMOS Image Sensors

Research on Fixed-Slope On-Chip Soft-Start Method Applied to Buck DC–DC Converter

Study on consistency driving method of stitching pixel array based on self-adaptive correction technique

Synchronous Driving Method for Stitching Pixel Arrays Based on an Adaptive Correction Technique

Column Level ADC Design Method of CMOS Image Sensor Based on Coarse and Fine Quantization Parallel and TDC Hybrid

Prof Dr. Michel Jourlin | Brightness Inversion Award | Best Researcher Award

Prof Dr. Michel Jourlin | Brightness Inversion Award | Best Researcher Award 

Prof Dr. Michel Jourlin, Hubert Curien Laboratory, Jean Monnet University, Saint-Etienne, France

Michel Jourlin is an Emeritus Professor at the Hubert Curien Laboratory (UMR CNRS 5516) at Jean Monnet University in Saint-Etienne, France. He holds a State Doctorate in Pure Mathematics, which he earned with First Class Honours and special Congratulations in 1984. His academic career began as a senior lecturer at Jean Monnet University, where he established the Image Processing team at the TSI Laboratory, now part of the Hubert Curien Laboratory. In 1988, he became the head of the Electronics and Image Department at ICPI in Lyon and later, following the merger of ICPI and ESCIL to form CPE-Lyon, he served as the Scientific Director and head of the Electronics, Telecoms, and Computing section. He was instrumental in creating the LISA Laboratory (Image, Signal, and Acoustics), a CNRS-recognized research unit.

Professional Profile:

 

Summary of Suitability for Best Researcher Award

Michel Jourlin is a distinguished Emeritus Professor at the Hubert Curien Laboratory, Jean Monnet University, Saint-Etienne, France. With a State Doctorate in Pure Mathematics earned with First Class Honours and numerous contributions to the field of image processing, Professor Jourlin has demonstrated an exemplary academic and research career.

Education:

  • 1984: Achieved a State Doctorate in Pure Mathematics with First Class Honours and Congratulations.

Work Experience:

  • 1984: Began his academic career as a Senior Lecturer at Jean Monnet University, where he played a pivotal role in establishing the ‘Image Processing’ team at the TSI Laboratory, which later evolved into the Hubert Curien Laboratory.
  • 1988: Became the Head of the Electronics and Image Department at ICPI, Lyon.
  • 1992: After the merger of ICPI and ESCIL engineering schools to form CPE-Lyon, he was appointed Scientific Director of CPE and Head of the ETC section (Electronics, Telecoms, Computing). During this period, he was also instrumental in the creation of the LISA Laboratory (Image, Signal, and Acoustics), an EP CNRS unit.
  • 2000: Joined the ISTASE engineering school (which became Telecom Saint-Etienne in 2008) as a Professor. In 2001, he launched the ‘Digital Image and Vision’ course at the school.
  • 2003: Played a key role in bringing 3rd-year students from the Ecole Supérieure d’Optique, now IOGS, to Saint-Etienne to acquire image processing skills through a specialized ‘Image, Vision Signal’ Master’s course.
  • 2008: Contributed to the creation of the ERIS group (Eclairage, Rendu visuel, Imagerie optique, Sécurité opto-numérique) within the Laboratoire Hubert Curien (UMR 5516) in collaboration with Pierre Chavel. He was responsible for Axis 1, focusing on ‘Lighting, Visual Rendering.’
  • 2008-2015: Served as an Expert for the Ministry of Higher Education and Research.
  • 2011-Present: Continues to serve as an Emeritus Professor at Jean Monnet University. Over his career, he has supervised 42 PhDs and 4 HDRs. His work on the Logarithmic Image Processing (LIP) model has garnered over a thousand citations, leading to numerous publications and the publication of a book titled ‘Logarithmic Image Processing: Theory and Applications’.

Michel Jourlin’s contributions to image processing, especially the LIP model, are widely recognized in the scientific community, and he continues to be an active researcher and reviewer for prestigious journals.

 

Publication top Notes:

CITED: 471
CITED: 272
CITED: 250
CITED: 157
CITED: 113