Dong Ha Lee – New advance technology in osteoporosis diagnosis – Young Scientist Award 

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Assist Prof Dr. Dong Ha Lee - New advance technology in osteoporosis diagnosis - Young Scientist Award 

Busan Medical Center - South Korea

Author Profile

Early Academic Pursuits

Assist Prof Dr. Dong Ha Lee's journey in the medical field began with a solid foundation in academia. Graduating with a Doctor of Medicine (M.D.) degree from Pusan National University in Busan, South Korea, Lee exhibited a keen interest in orthopedic surgery from an early stage. His pre-medical education laid the groundwork for his future professional endeavors, emphasizing the importance of a comprehensive understanding of medical science and patient care.

Professional Endeavors

Assist Prof Dr. Lee's professional career as an orthopedic surgeon commenced at Busan Medical Center in 2019. Since then, he has demonstrated exceptional skills and dedication to his craft. As an orthopedic surgeon, Lee has been instrumental in diagnosing and treating a wide range of musculoskeletal conditions, with a particular focus on osteoporosis and osteoporotic fractures. His expertise extends to spine correction deformity and tumor surgeries, showcasing his versatility in addressing complex orthopedic issues.

Throughout his tenure, Lee has conducted thorough physical examinations, evaluated patient histories, and performed pre-operative and post-operative assessments with precision. His involvement in surgical procedures, including arthroscopic surgeries and joint replacements, underscores his proficiency in utilizing advanced techniques to optimize patient outcomes.

Contributions and Research Focus On New advance technology in osteoporosis diagnosis

Beyond his clinical responsibilities, Lee has actively contributed to the advancement of orthopedic knowledge through research and education. With over 10 published research papers as a corresponding author, Lee has made significant contributions to the scientific community, particularly in the realm of musculoskeletal health. His research endeavors have encompassed topics ranging from the management of osteoporosis to innovative surgical techniques for joint reconstruction.

Additionally, Lee has played a pivotal role in training and mentoring medical students, trainees, and residents, imparting his expertise and fostering competency within the field. His dedication to education underscores his commitment to shaping the next generation of orthopedic professionals.

Accolades and Recognition

Assist Prof Dr. Lee's exemplary contributions to the field of orthopedic surgery have garnered widespread recognition and accolades. Notably, his participation in research studies and presentations has earned him prestigious awards, including the ICO 2021 best oral presentation award. As a chief resident, Lee has been acknowledged for his leadership and outstanding contributions to patient care and academic excellence.

Furthermore, Lee's commitment to advancing orthopedic knowledge is evidenced by his involvement in esteemed organizations such as the FIFA Medical Network and his certification as an ACLS provider. His multifaceted achievements reflect a relentless pursuit of excellence in both clinical practice and academic pursuits.

Impact and Influence

Assist Prof Dr. Lee's impact extends beyond the confines of his clinical practice, leaving a lasting impression on colleagues, patients, and the broader medical community. Through his innovative research, compassionate patient care, and dedication to education, Lee has contributed to the advancement of orthopedic surgery while positively influencing the lives of countless individuals.

Legacy and Future Contributions

As Lee continues to make strides in the field of orthopedic surgery, his legacy as a skilled clinician, educator, and researcher will endure. With a steadfast commitment to excellence and a passion for improving patient outcomes, Lee's future contributions are poised to further elevate the standards of orthopedic care and leave a lasting impact on the field for years to come.

Notable Publication

Naif Majrashi | Best Researcher Award | medical fields/Image and data analysis/Infectious diseases (TB)

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 Naif Majrashi - Jazan University - medical fields/Image and data analysis/Infectious diseases (TB)🏆

Assist Prof Dr Naif Majrashi : medical fields/Image and data analysis/Infectious diseases (TB)

Professional profile:

Early Academic Pursuits:

Naif Ali Ahmed Majrashi's academic journey began with a Bachelor of Diagnostic Radiology from Jazan University, Saudi Arabia. Following this, he pursued a Master of Science in Medical Imaging from the University of Aberdeen, UK, where he graduated with commendation. He further enhanced his academic credentials by completing his Ph.D. in Medical Imaging from the same institution, the University of Aberdeen, in 2020. His early academic endeavors laid a solid foundation for his subsequent professional achievements in the field of medical imaging.

Professional Endeavors:

Naif Majrashi has made significant strides in his professional career. Currently serving as an Assistant Professor at Jazan University, Saudi Arabia, he has been instrumental in teaching, research, and administration within the Diagnostic Radiography Technology Department. Additionally, his experience extends to serving as a Laboratory Demonstrator at the University of Aberdeen, UK. Throughout his career, he has showcased expertise in areas such as brain imaging, medical image analysis, machine learning, and radiation protection. His commitment to academic excellence is evident through his involvement in curriculum design, research supervision, and publication in reputable journals.

Contributions and Research Focus:

NM's research focus encompasses several pivotal areas within medical imaging, including brain imaging, environmental effects on the brain, machine learning applications, systematic reviews, and radiation protection. His publications reflect his dedication to advancing the field, with topics ranging from the relationship between chest CT severity score and COVID-19 pneumonia to the impact of photoperiod on brain volume and depressive symptoms. His research contributions have been published in renowned journals, contributing to the broader understanding of medical imaging techniques and applications.

Accolades and Recognition:

Throughout his academic and professional journey, Naif Majrashi has garnered several accolades and certifications that underscore his expertise and commitment to the field. Notably, he holds a Certified Senior Health Specialist in Diagnostic Radiology from the Saudi Commission For Health Sciences, among other certifications. His accomplishments include achieving a Data Driven-Scientist designation from the Massachusetts Institute of Technology (MIT) and a Certified Trainer of Trainees from the Saudi Commission For Health Sciences.

Impact and Influence:

NM's impact extends beyond his research contributions and professional roles. His involvement in teaching, mentoring, and supervising students has shaped the next generation of professionals in medical imaging and related fields. By fostering collaborative research, attending academic conferences, and sharing his expertise, he has contributed to the academic community's growth and development.

Legacy and Future Contributions:

As Naif Ali Ahmed Majrashi continues to advance in his career, his legacy is marked by a dedication to excellence, innovation, and collaboration in the field of medical imaging. His future contributions are anticipated to further shape the landscape of diagnostic radiography, machine learning applications, and research methodologies. Through ongoing research, mentorship, and academic leadership, NM's legacy will continue to inspire advancements in medical imaging and related disciplines.

Notable Publication:

Citations:

A total of 28 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations      :28
  • h-index         :12
  • Documents  :3

Ch Rajyalakshmi | Deep learning using medical image data | Best Researcher Award

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Mrs Ch Rajyalakshmi - B V Raju Institute of Technology - Deep learning using medical image data

Mrs Ch Rajyalakshmi : Deep learning using medical image data

Professional profile:

Early Academic Pursuits:

Mrs. Ch. Rajyalakshmi's academic journey commenced with a Bachelor's degree in Computer Science and Information Technology from NEC, Narsaraopeta, in 2004. This laid the foundation for her pursuit of a Master's degree in Computer Science and Engineering at AVIET, Narsipatnam, in 2011. Building on her academic prowess, she is currently pursuing a Ph.D. at JNTU Kakinada, with her thesis focusing on "HIGH SPECTRAL SATELLITE IMAGE SEGMENTATION WITH DEEP LEARNING UNET BASED TECHNIQUES FOR GENERATING FLOOD INUNDATION."

Professional Endeavors:

With a teaching experience spanning 18 years, Dr. Rajyalakshmi has played pivotal roles in various academic institutions. She has been an Associate Professor at BVRIT, Narsapur, since 2011, following roles as an Assistant Professor at CMRIT Engg College, Hyderabad, and a Lecturer at Narsaraopeta Engineering College, Narsaraopeta, earlier in her career.

Contributions and Teaching Experience:

Mrs. Rajyalakshmi's expertise in computer science is evident through the diverse range of courses she has taught. From Artificial Intelligence and Machine Learning to Database Design and Operating Systems, she has contributed significantly to the education of students. Her teaching extends to areas such as Computer Networks, Software Engineering, Multimedia and Design, and Human-Computer Interaction.

Research Focus and Publications:

Mrs. Rajyalakshmi's research interests primarily revolve around the application of Deep Learning architectures for spatial data, particularly in processing high spectral satellite images for water body identification. Her publications in renowned journals and conferences reflect the depth of her contributions to the field. Some notable publications include works on satellite image data extraction using classification techniques and the detection of active attacks in Mobile Ad Hoc Networks (MANETs).

Accolades and Recognition:

Mrs. Rajyalakshmi's academic achievements include being FET Qualified in 2011 and GATE Qualified in 2006. Her commitment to excellence is also evident in her completion of various NPTEL courses and Coursera certifications, covering topics such as Machine Learning, Database Management Systems, Deep Learning, and Artificial Intelligence.

Impact and Influence:

Through her research and teaching endeavors, Mrs. Rajyalakshmi has made a significant impact on the academic community. Her publications and patents attest to her dedication to advancing knowledge in computer science and related domains.

Legacy and Future Contributions:

As a seasoned educator and researcher, Mrs. Rajyalakshmi continues to shape the academic landscape. Her administrative responsibilities, including course coordination, involvement in accreditation processes, and leadership roles in various committees, showcase her commitment to the holistic development of educational institutions. With an ongoing Ph.D. pursuit and an impressive list of publications and patents, she is poised to leave a lasting legacy in the realms of computer science, education, and research. Her multifaceted contributions highlight a career marked by continuous growth, learning, and impactful contributions to academia.

Notable Publications:

Citations:

A total of  8 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations     8
  • h-index         2