MD Rabiul Islam – Biomedical Signal Processing Award – Best Researcher

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Mr. MD Rabiul Islam - Biomedical Signal Processing Award - Best Researcher

Texas A&M University - Bangladesh

Author Profile

Early Academic Pursuits

Mr. Md. Rabiul Islam embarked on his academic journey with a solid foundation in Electrical and Electronic Engineering (EEE) at Khulna University of Engineering & Technology (KUET), Bangladesh. He demonstrated exceptional academic prowess, achieving a remarkable CGPA of 4.00 out of 4.00 in his M.Sc. Eng. (EEE) and 3.63 out of 4.00 in his B.Sc. Eng. (EEE). His dedication and passion for learning were evident from his early years, as evidenced by his consistent academic excellence throughout his educational endeavors.

Professional Endeavors

Mr. Rabiul Islam's professional journey has been characterized by a blend of teaching, research, and leadership roles. He started as a Lecturer at the Department of EEE, North Western University, Khulna, Bangladesh, where he imparted knowledge in electrical circuits, digital signal processing, and measurement and instrumentation. His commitment to academia led him to progressively higher positions, culminating in his current role as an Assistant Professor (on Leave) at the Department of EEE, Bangladesh Army University of Engineering & Technology, Natore, Bangladesh.

Contributions and Research Focus

Driven by a passion for Artificial Intelligence (AI), Rabiul Islam has made significant contributions to the field of medical imaging, AI, machine learning, signal processing, computer vision, and pattern recognition. His research interests span a wide spectrum, including emotion recognition from EEG signals, fall detection systems, text detection, skin lesion classification, and more. His current focus lies in medical image analysis, particularly in cardiac imaging, exploring the application of AI in heart disease diagnosis and assessment.

Accolades and Recognition

Mr. Rabiul Islam's academic and research contributions have earned him prestigious accolades and recognition. He has authored numerous journal papers and conference papers, demonstrating his expertise in various domains. Notably, his paper titled "Multiple Regression Analysis Based Non-Invasive Blood Glucose Level Estimation Using Photoplethysmography" received the Best Paper Award at the 2021 International Conference on Automation, Control, and Mechatronics for Industry 4.0.

The Biomedical Data Analysis and Signal Processing Award recognizes outstanding contributions in the realm of biomedical signal processing and data analysis. This prestigious accolade celebrates advancements in techniques and methodologies utilized to extract meaningful insights from various biomedical signals and data sources. From intricate physiological signals to complex medical imaging data, recipients of this award demonstrate innovation and excellence in applying signal processing techniques, such as digital signal processing, time-frequency analysis, and pattern recognition, to analyze and interpret biomedical information.

Impact and Influence

Through his research endeavors, Rabiul Islam has contributed significantly to advancing knowledge and innovation in the fields of AI, machine learning, and biomedical signal processing. His work on emotion recognition, fall detection systems, and medical image analysis has the potential to revolutionize healthcare diagnostics and enhance patient care. His publications have been widely cited, indicating the impact and influence of his research within the scientific community.

Legacy and Future Contributions On Biomedical Signal Processing Award

As a dedicated scholar and educator, Rabiul Islam's legacy lies in his commitment to academic excellence, research innovation, and mentorship. He continues to inspire future generations of researchers through his teaching, supervision, and scholarly activities. Moving forward, he aims to further explore the intersection of AI, healthcare, and technology to address pressing societal challenges and improve the quality of life globally. His future contributions are poised to leave a lasting imprint on the fields of AI and medical imaging, shaping the landscape of healthcare and technology.

Citations

  • Citations   861
  • h-index       12
  • i10-index    14

Notable Publication

 

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

Snehashis Majhi – Computer Vision – Best Researcher Award

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Mr. Snehashis Majhi - Computer Vision - Best Researcher Award 

Institut National de Recherche en Informatique et en Automatique - France

Author Profile

Early Academic Pursuits

Mr. Snehashis Majhi embarked on his academic journey with a Bachelor of Technology in Computer Science and Engineering from the National Institute of Science and Technology, Berhampur, India. During this time, he delved into the realm of computer vision with his thesis titled "Design and Development of CBIR system using Classification Confidence," under the guidance of Dr. Jatindra Kumar Dash. This early exposure laid the foundation for his future endeavors in research and development.

Professional Endeavors

Mr. Majhi's professional journey commenced with an internship at INRIA, Sophia Antipolis Cedex BP 93, France, where he contributed to the development of a deep learning pipeline for human activity detection in smart home scenarios. This experience provided him with practical insights into real-world applications of deep learning technologies.

Following his internship, Majhi ventured into the field of glaucoma detection during his tenure as a Research Fellow at MNIT Jaipur, India. Here, he developed a deep convolutional neural network for detecting glaucoma diseases in fundus images, showcasing his versatility in applying deep learning techniques to healthcare domains.

Currently serving as a Research Scholar at INRIA Sophia Antipolis, France, Majhi's primary focus lies in developing human-scene centric video abnormality detection methods for smart-city surveillance systems. His research involves collaboration with Toyota Motor Europe and Woven Planet, demonstrating his ability to work on interdisciplinary projects with industry partners.

Contributions and Research Focus

Mr. Majhi's research contributions span various aspects of computer vision and deep learning. Noteworthy among his works is the development of the Human-Scene Network (HSN) and the Outlier-Embedded Cross Temporal Scale Transformer (OE-CTST) for video anomaly detection. These innovations address critical challenges in surveillance systems, showcasing Majhi's expertise in designing novel architectures and algorithms for complex tasks.

His research endeavors also encompass weakly-supervised learning techniques and optimization methods tailored for anomaly detection, underscoring his commitment to advancing the state-of-the-art in video analysis.

Accolades and Recognition

Mr. Majhi's contributions have been recognized through publications in reputable conferences and journals, including IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and International Conference on Neural Information Processing (ICONIP). His papers have received commendable rankings, reflecting the significance and impact of his research in the scientific community.

Impact and Influence

Through his research and academic pursuits, Mr. Majhi has made significant contributions to the fields of computer vision and machine learning. His innovative approaches to video anomaly detection have the potential to enhance surveillance systems' effectiveness, thereby contributing to the advancement of public safety and security measures.

Legacy and Future Contributions

Mr. Majhi's legacy lies in his pioneering work in video anomaly detection and deep learning applications. His research serves as a stepping stone for future advancements in smart-city surveillance, healthcare diagnostics, and beyond. As he continues his academic and professional journey, Majhi is poised to make further contributions to the field, driving innovation and addressing societal challenges through cutting-edge technologies.

Citations

  • Citations   97
  • h-index       5
  • i10-index   4

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

Nad Siroros | Best Researcher Award | Biomedical Engineering

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Nad Siroros | Best Researcher Award  Winner 2023  🏆

Mr Nad Siroros : Biomedical Engineering

Congratulations to Mr. Nad Siroros, Biomedical Engineering expert, on winning the Best Researcher Award at the International Research Data Analysis Excellence Awards. This prestigious accolade recognizes his outstanding contributions and excellence in the field. Well done, Mr. Siroros, on this remarkable achievement!

Professional profile:

Early Academic Pursuits:

Nad Siroros embarked on his academic journey with a strong foundation in Mechanical Engineering. His undergraduate studies, completed in 2012 at Chiang Mai University, Thailand, were complemented by international exposure, including a visiting student stint at the School of Energy and Power Engineering, Jiangsu University, China, in 2012. This early international experience set the stage for his future endeavors in the field.

Professional Endeavors:

In 2015, Nad earned a Master of Engineering in Biomedical Engineering from Chiang Mai University. This marked a pivotal moment in his academic career as he transitioned into the specialized realm of biomedical engineering. Following this, he undertook co-operative education at the French Institute for Advanced Mechanics (IFMA) in 2010, showcasing his commitment to diverse and comprehensive learning experiences.

Contributions and Research Focus:

From January 2016 to May 2019, Nad engaged in groundbreaking research at the Chair of Medical Engineering (mediTec), Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Germany. His work at this prestigious institute underscored his dedication to the intersection of engineering and medicine. Subsequently, from June 2019 to December 2023, he continued his impactful contributions in the Research Laboratory, specifically the Working Group Clinical and Experimental Orthopaedics Biomechanics, Department of Orthopaedics, Trauma, and Reconstructive Surgery at Uniklinik RWTH Aachen.

Nad's research has been primarily focused on experimental biomechanics, biomechanical modeling, and simulation. His specialization in the design of implants, prostheses, and medical devices showcases a commitment to advancing medical technology and improving patient outcomes.

Accolades and Recognition:

Throughout his academic and professional journey, Nad Siroros has undoubtedly garnered recognition for his exceptional contributions. While specific accolades may not be detailed, the pursuit of a Doctor of Theoretical Medicine at the Faculty of Medicine, RWTH Aachen University, Germany, signifies acknowledgment of his capabilities and potential in the field.

Impact and Influence:

Nad's impact is evident in the institutions and research groups where he has been actively involved. His work has likely contributed to advancements in clinical and experimental orthopaedics biomechanics, leaving a lasting impression on the academic and medical communities.

Legacy and Future Contributions:

As Nad moves towards completing his Doctor of Theoretical Medicine, his legacy in the field of biomechanics and biomedical engineering is solidifying. The interdisciplinary nature of his work suggests a future where his contributions will continue to bridge the gap between engineering and medicine, paving the way for innovative solutions in healthcare.

In summary, Nad Siroros's academic and professional journey is marked by a seamless integration of international experiences, a commitment to research excellence, and a focus on advancing medical technology. His legacy is poised to endure through ongoing and future contributions to the field of theoretical medicine.

Notable publication :

Citations:

A total of  16 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations    16
  • h-index        3