Dr. Spyridon Kosionis | Quantum Dot | Research Excellence Award

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Dr. Spyridon Kosionis | Quantum Dot | Research Excellence Award 

Dr. Spyridon Kosionis | Quantum Dot | University of Patras | Greece

Spyridon G. Kosionis is an accomplished physicist and researcher in the fields of quantum photonics, nonlinear optics, and theoretical plasmonics. His career reflects a strong commitment to advancing scientific understanding of optical phenomena in quantum and nanostructured materials. He has actively contributed to both academic research and scientific training, with experience spanning university-level laboratory instruction, postdoctoral scientific work in international research centers, and computational modeling projects in advanced physics. His dedication to scientific excellence has been recognized through prestigious honors that highlight his impactful contributions to nanotechnology and photonics. As a scientist who successfully integrates theoretical physics with emerging material technologies, he serves as a strong role model for the modern research community.

Professional Profile

Google Scholar

Summary of Suitability for Research Excellence Award

Dr. Spyridon G. Kosionis is a highly accomplished researcher in Physics with a strong specialization in Quantum Nonlinear Optics, Photonics, and Theoretical Plasmonics. He has demonstrated consistent academic excellence throughout his education, completing his PhD, MSc., and BSc. degrees with top honors at the University of Patras. His early recognition as the highest-ranked student in his cohort reflects his strong scientific foundations and commitment to academic distinction.

Education

He has built an exceptional academic foundation in physics with continuous excellence throughout his career. He completed his Bachelor’s studies in Physics with top rankings and recognition for outstanding academic performance. Driven by a passion for advanced photonics, he pursued a Master of Science in Photonics and Laser Physics, achieving an exceptional final grade and conducting research on quantum control in semiconductor nanostructures. His academic journey culminated in a Ph.D. in Physics with specialization in Quantum Nonlinear Optics. His doctoral work focused on nonlinear optical processes in semiconductor quantum wells, supervised by distinguished experts in the field. Throughout his education, his research contributions consistently demonstrated high theoretical rigor, innovation, and practical applicability to emerging quantum technologies.

Professional Experience

His professional experience reflects a balanced blend of teaching, research leadership, and international scientific collaboration. He has served as a key instructor in physics and materials science laboratories, where he mentors undergraduate and graduate students, designs modern experimental curricula, and supports the integration of computational physics in education. His selection as representative in academic committees underscores his leadership in university governance and strategic planning. His research career includes focused postdoctoral work at a renowned European photonics institute, where he explored plasmonic structures and their optical properties under the guidance of leading scientists. Alongside his university research roles, he has contributed to national scientific projects addressing quantum computation and nanostructured material behavior, showcasing his strong capabilities in theoretical exploration and computational modeling.

Research Interest

His research specialization lies at the intersection of quantum optics, nanotechnology, and computational photonics. He investigates nonlinear optical effects in nanomaterials, quantum wells, and quantum dots, contributing to advancements relevant to quantum communication, laser technology, and optical signal processing. His interest extends to theoretical plasmonics, where he studies light–matter interactions occurring at subwavelength scales, a key direction shaping future photonic devices. He continues to focus on quantum system control, dynamics of excitations in semiconductor structures, and photonic functionalities with potential impacts across sensing, information technology, and nanoscale materials engineering.

Award

He has been honored with an international research award in nanotechnology, recognizing his outstanding contributions to quantum photonics research and scientific excellence.

Publication Top Notes

1. Optical response of a quantum dot–metal nanoparticle hybrid interacting with a weak probe field
Authors: SG Kosionis, AF Terzis, SM Sadeghi, E Paspalakis
Year: 2012
Cited by: 112

2. Strongly modified four-wave mixing in a coupled semiconductor quantum dot–metal nanoparticle system
Authors: E Paspalakis, S Evangelou, SG Kosionis, AF Terzis
Year: 2014
Cited by: 105

3. Nonlinear optical susceptibilities of semiconductor quantum dot–metal nanoparticle hybrids
Authors: AF Terzis, SG Kosionis, J Boviatsis, E Paspalakis
Year: 2016
Cited by: 91

4. Nonlocal effects in energy absorption of coupled quantum dot–metal nanoparticle systems
Authors: SG Kosionis, AF Terzis, V Yannopapas, E Paspalakis
Year: 2012
Cited by: 78

5. Optimal control of a symmetric double quantum-dot nanostructure: analytical results
Authors: SG Kosionis, AF Terzis, E Paspalakis
Year: 2007
Cited by: 50

6. Control of self-Kerr nonlinearity in a driven coupled semiconductor quantum dot–metal nanoparticle structure
Authors: SG Kosionis, E Paspalakis
Year: 2019
Cited by: 38

7. Pump-probe optical response of semiconductor quantum dot–metal nanoparticle hybrids
Authors: SG Kosionis, E Paspalakis
Year: 2018
Cited by: 37

8. Intrinsic optical bistability in a two-subband system in a semiconductor quantum well: analytical results
Authors: SG Kosionis, AF Terzis, C Simserides, E Paspalakis
Year: 2011
Cited by: 26

Prof. Zuofeng Zhou | Optical Imaging | Best Researcher Award

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Prof. Zuofeng Zhou | Optical Imaging | Best Researcher Award 

Prof. Zuofeng Zhou, Xi’an Institute of Optics and Precision Mechanics of CAS, China

Dr. Zuofeng Zhou is a Professor at the Xi’an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences, and the Chief Engineer of XIOPM Holdings Co., Ltd. He is recognized as an Outstanding Young Scholar in Shaanxi Province, China. His research interests span image denoising, computer vision, machine learning, hyperspectral remote sensing image processing, and scientific and technological achievements industrialization. Over the past decade, he has published more than 80 research papers in esteemed journals and conferences and holds 14 technology and product patents. Dr. Zhou is an IEEE Member and serves as a reviewer for multiple international journals, including IEEE Transactions on Image Processing and Neurocomputing. He is actively involved in the industrialization of scientific and technological innovations, leading efforts in technology commercialization, startup incubation, and investment in high-tech enterprises, particularly in optoelectronics and military-civilian integration.

Professional Profile:

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award

Dr. Zuofeng Zhou is a highly accomplished researcher with extensive contributions in the fields of image processing, computer vision, and machine learning. His expertise spans both theoretical research and practical industrial applications, particularly in hyper-spectral remote sensing image processing and image/video analysis.

🎓 Education

  • Ph.D. in a relevant field (Details not specified)

💼 Work Experience

  • Full Professor – XIOPM, Chinese Academy of Sciences
  • Chief Engineer – XIOPM Holdings Co., LTD
  • Referee – Reviewer for top journals including:
    • IEEE Transactions on Image Processing
    • Neurocomputing (Elsevier)
    • IET Image Processing
    • Signal Processing (Elsevier)
    • Conferences: CVPR, ICIP, ECCV

🏆 Achievements & Contributions

  • 📜 Research Contributions:
    • Published 80+ research papers in renowned journals and conferences (e.g., Signal Processing, ICIP, IET Image Processing)
    • Authored book chapter in Wavelet Transform and Some of Its Real-World Applications (ISBN: 978-953-51-2230-2)
  • 🔬 Research Interests:
    • Image denoising & computer vision
    • Machine learning & hyperspectral remote sensing
    • Image/video analysis
    • Industrialization of scientific and technological achievements
  • 📌 Patents:
    • Obtained 14 technology and product patent authorizations
  • 🚀 Industrialization Initiatives:
    • Led the commercialization of S&T achievements at XIOPM
    • Established 280+ hi-tech enterprises
    • Created 7,000+ jobs
    • Developed industry clusters in laser equipment, optoelectronic integrated circuits, and healthcare
  • 💰 Investment & Entrepreneurship:
    • Co-founded CAS Star Incubator Co., Ltd.
    • Managed funds totaling ~5 billion CNY
    • Invested in 150+ projects, attracting over 630 million CNY in social investment

🏅 Awards & Honors

  • 🌟 Outstanding Young Scholar – Shaanxi Province, China
  • 🎖 IEEE Member
  • 🏆 Recognitions:
    • “CAS Pilot Unit for S&T Achievement Transformation”
    • “Shaanxi Pilot Unit for Building an Innovative Province”
    • “State-level S&T Enterprise Incubator”

Publication Top Notes:

Satellite Pose Measurement Using an Improving SIFT Algorithm

ViBe algorithm based on background fusion and channel calculation

The Application of a Pavement Distress Detection Method Based on FS-Net

Image Enhancement Technology in Pavement Disease Detection System

High-Precision Volume Measurement of Potholes in Pavement Maintenance

 

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. Nataraj Vijapur | Digital Imaging Awards | Best Researcher Award

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Dr. Nataraj Vijapur | Digital Imaging Awards | Best Researcher Award

Dr. Nataraj Vijapur, RV Institute of Technology and Management, India

Dr. Nataraj Vijapur is an accomplished academic with over 22 years of teaching experience in Electrical and Electronics Engineering. He is currently serving as the Head of the Department of Electronics and Communication Engineering at RV Institute of Technology and Management in Bangalore since September 2020. Prior to this role, Dr. Vijapur spent 16 years at KLE Dr. M. S. Sheshgiri College of Engineering and Technology in Karnataka, where he held various positions, including Associate Professor and PG Coordinator. He completed his Ph.D. at Visvesvaraya Technological University in 2017, focusing on “Efficient Glaucoma Detection based on Image Processing Techniques.” Dr. Vijapur also holds a Master of Technology in VLSI Design and Embedded Systems and a Bachelor of Engineering in Electronics and Communication, both from Visvesvaraya Technological University and Karnataka University, respectively. His commitment to advancing engineering education is reflected in his extensive academic and administrative contributions throughout his career.

Professional Profile:

SCOPUS

Summary of Suitability for the Research for Best Researcher Award: 

Dr. Nataraj Vijapur is a highly qualified and experienced academic with over 22 years of teaching and research experience in Electrical and Electronics Engineering. His extensive career spans several reputable institutions, including the RV Institute of Technology and Management and KLE Dr. M. S. Sheshgiri College of Engineering & Technology. Throughout his career, he has held various positions, demonstrating leadership and commitment to academic excellence, notably as the Head of the Department of ECE at his current institution.

Education 🎓

  1. Ph.D. in Electrical & Electronics Engineering
    Visvesvaraya Technological University, Karnataka, India
    Thesis: “Efficient Glaucoma Detection based on Image Processing Techniques”
    Completed: June 28, 2017
  2. Master of Technology in VLSI Design & Embedded Systems
    Visvesvaraya Technological University, Karnataka, India
    CGPA: 8.68
    Completed: 2009
  3. Bachelor of Engineering in Electronics & Communication
    Karnataka University, Karnataka, India
    Distinction: 71.00%
    Completed: 2001
  4. Pre-University Graduation (PCM)
    PU Board, Karnataka, India
    Percentage: 81.00%
    Completed: 1997
  5. S.S.L.C. (10th Grade)
    Karnataka State Board, Karnataka, India
    Percentage: 81.92%
    Completed: 1995

Work Experience 💼

  • Head of Department of ECE
    RV Institute of Technology and Management, Bangalore
    2024 – Present
  • Associate Professor, PG Coordinator, Department NBA Coordinator
    KLE Dr. M. S. Sheshgiri College of Engineering & Technology, Karnataka, India
    2016 – 2020
  • Assistant Professor
    KLE Dr. M. S. Sheshgiri College of Engineering & Technology, Karnataka, India
    2010 – 2016
  • Senior Lecturer
    KLE Dr. M. S. Sheshgiri College of Engineering & Technology, Karnataka, India
    2010
  • Lecturer
    KLE Dr. M. S. Sheshgiri College of Engineering & Technology, Karnataka, India
    2004
  • Lecturer
    Karnataka Law Society’s Vasantrao Potdar Polytechnic, Belagavi, Karnataka, India
    January 20, 2003 – April 18, 2003 & July 1, 2003 – March 22, 2004

Achievements 🏆

  • Developed innovative image processing techniques for glaucoma detection.
  • Contributed significantly to curriculum development and academic program coordination in engineering.
  • Led various departmental initiatives and projects aimed at enhancing student learning experiences.

Awards and Honors 🎖️

  • Recipient of the Best Research Paper Award at the National Conference on Emerging Technologies, 2018.
  • Outstanding Faculty Award for excellence in teaching and contribution to student development, 2019.
  • Scholarship for academic excellence during Master’s program at Visvesvaraya Technological University.

Publication Top Notes:

Levenberg-Marquardt-optimized neural network for rainfall forecasting

DRN-DSA: A hybrid deep learning network model for precipitation nowcasting using time series data

A Simple and Flexible Higher-order 2D Triangle Mesh Generator with MATLAB

IOT and Embedded Based Smart Baby Cradle

A versatile cubic-curved triangle mesh generator using subparametric transformation for FEM and image processing applications

Assist. Prof. Dr. Ni Jiacheng | Radar Imaging Awards | Best Researcher Award

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Assist. Prof. Dr. Ni Jiacheng | Radar Imaging Awards | Best Researcher Award 

Assist. Prof. Dr. Ni Jiacheng, Air Force Engineering University, China

Jia-cheng Ni. He earned both his M.S. and Ph.D. degrees in electrical engineering from the Air Force Engineering University (AFEU) in Xi’an, China, in 2014 and 2018, respectively. Currently, he is affiliated with the Radar and Signal Processing Laboratory at the Institute of Information and Navigation, AFEU, as well as the Collaborative Innovation Center of Information Sensing and Understanding. His research interests focus on sparse signal processing, Synthetic Aperture Radar (SAR) imaging, and Automatic Target Recognition (ATR), contributing to advancements in radar technology and its applications in various fields.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Dr. Jia-cheng Ni

Profile: Dr. Jia-cheng Ni, born in Shaanxi, China, in 1990, is a prominent researcher in the field of electrical engineering. He holds both a Master’s degree and a Ph.D. from the Air Force Engineering University (AFEU), where he has established a robust academic and research foundation. Currently associated with the Radar and Signal Processing Laboratory at AFEU, Dr. Ni is also a member of the Collaborative Innovation Center of Information Sensing and Understanding.

Education and Work Experience

  • M.S. Degree in Electrical Engineering
    • Institution: Air Force Engineering University (AFEU), Xi’an, China
    • Year: 2014 🎓
  • Ph.D. Degree in Electrical Engineering
    • Institution: Air Force Engineering University (AFEU), Xi’an, China
    • Year: 2018 🎓
  • Current Position:
    • Affiliation: Radar and Signal Processing Laboratory, Institute of Information and Navigation, AFEU
    • Collaboration: Collaborative Innovation Center of Information Sensing and Understanding 🏢

Achievements, Awards and Honors

  • Research Focus:
    • Sparse Signal Processing 📊
    • Synthetic Aperture Radar (SAR) Imaging 🌌
    • Automatic Target Recognition (ATR) 🎯
  • Awards and Honors:
    • Received recognition for contributions to research in signal processing and imaging technology 🏆
    • Published multiple papers in renowned journals and conferences, showcasing advancements in SAR imaging techniques 📚
    • Honored for collaboration in innovative projects within the Collaborative Innovation Center of Information Sensing and Understanding 🤝

Publication Top Notes

Nonsparse SAR Scene Imaging Network Based on Sparse Representation and Approximate Observations

An ISAR Shape Deception Jamming Method Based on Template Multiplication and Time Delay

Correction of Range-Variant Motion Error and Residual RCM in Sparse Regularization SAR Imaging

Sparse SAR Imaging Method for Ground Moving Target via GMTSI-Net

Omega-KA-Net: A SAR Ground Moving Target Imaging Network Based on Trainable Omega-K Algorithm and Sparse Optimization

 

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

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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

 

Ms. Rumi Iwai | Non-Contact Imaging | Best Researcher Award

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Ms. Rumi Iwai | Non-Contact Imaging | Best Researcher Award 

Ms. Rumi Iwai, Kyushu University, Japan

Ms. Rumi Iwai is an accomplished clinical engineer and researcher currently pursuing a Doctor of Philosophy in Dental Anesthesiology at the Faculty of Dental Science, Kyushu University, in Fukuoka, Japan. She completed her initial training as a clinical engineer at Osaka College of High Technology in 2014. Since 2017, Ms. Iwai has been working at Hyogo Medical University Hospital in the Department of Clinical Engineering. Her professional responsibilities encompass a wide range of tasks including operating room management, hemodialysis, arrhythmia monitoring, intensive care, and the management of medical electronic equipment. She holds certifications as a respiratory therapist, arrhythmia clinical engineer, and implantable device technician.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Ms. Rumi Iwai is an accomplished researcher in the field of clinical engineering, with a strong background in dental anesthesiology and medical electronics. Her contributions to extracorporeal circulation therapy and cardiac implantable devices, along with her awards and recognitions, highlight her as a promising candidate for the Best Researcher Award.

Education:

  1. Clinical Engineer
    • Institution: Osaka College of High Technology
    • Address: 1-2-43 Miyahara, Yodogawa-ku, Osaka-shi, Osaka, Japan
    • Year: 2014
  2. Doctor of Philosophy (Ph.D.)
    • Current Institution: Department of Dental Anesthesiology, Faculty of Dental Science, Kyushu University
    • Address: 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, JAPAN
    • Status: Currently attending

Work Experience:

  1. Department of Clinical Engineering
    • Institution: Hyogo Medical University Hospital
    • Position: Clinical Engineer
    • Duration: April 2017 – Present
    • Responsibilities:
      • Management of operating room equipment
      • Hemodialysis
      • Arrhythmia monitoring and management
      • Intensive care unit equipment management
      • Medical electronics equipment management
    • Certifications:
      • Certified Respiratory Therapist
      • Arrhythmia Clinical Engineer
      • Implantable Device Technician
    • Research Interests:
      • Extracorporeal circulation therapy
      • Cardiac implantable devices

Publication top Notes:

Reliable Stenosis Detection Based on Thrill Waveform Analysis Using Non-Contact Arteriovenous Fistula Imaging

A Study on Stenosis Detection Based on Non-contact Thrill Wave Imaging and Gradient-Boosting Decision Tree