Dolly A Sharma | Medical Imaging Technology | Women Researcher Award

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Dr. Dolly A Sharma | Medical Imaging Technology | Women Researcher AwardĀ 

Assistant Professor at BDIPS, CHARUSAT University, India.

Dr. Dolly A. Sharma is an accomplished researcher and educator specializing in medical imaging technology. With a Ph.D. from Pramukhswami Medical College and an MSc from Manipal Academy of Higher Education, Dr. Sharma has dedicated over a decade to advancing her field. Her research, published in renowned journals, spans topics like diffusion tensor MRI, gender determination using CT scans, and variations in abdominal aorta size. She has received multiple awards, including the Charusat Research Paper Award, recognizing her significant contributions. Dr. Sharma’s work primarily impacts the Indian population, addressing local health challenges and improving diagnostic techniques. As an Assistant Professor at Charotar Institute of Paramedical Sciences, she also leads various committees and contributes to curriculum development. Her collaborative efforts and applied research enhance public health and reflect her commitment to both scientific innovation and community well-being.

Profile

EducationšŸŽ“

Dr. Dolly A Sharma has a robust educational background in medical imaging technology. She completed her Ph.D. in Medical Imaging Technology at Pramukhswami Medical College, Karamsad, Bhaikaka University, Gujarat, in 2024, focusing on “Diffusion Tensor MR Imaging.” Prior to this, she earned her Master of Science in Medical Imaging Technology from Manipal College of Health Professions, Manipal Academy of Higher Education, Karnataka, in 2017. Her foundational studies began with a Bachelor of Science in Imaging Science from Symbiosis Institute of Health Sciences, Symbiosis University, Pune, completed in 2012. Dr. Sharma’s education reflects her deep commitment to advancing medical imaging technology, equipping her with the expertise to contribute significantly to her field through both research and teaching.

Professional Experience šŸ¢

Dr. Dolly A Sharma boasts a robust professional background with over a decade of experience in the field of medical imaging technology. Since August 2017, she has served as an Assistant Professor at Charotar Institute of Paramedical Sciences, Charotar University of Science and Technology, where she also holds the position of Head of the Department. Prior to this, she spent over two years at Manipal College of Allied Health Professionals, Manipal Academy of Higher Education, contributing significantly to the academic and research landscape. Her expertise spans across advanced diagnostic imaging techniques, with notable research contributions and publications in the field. Dr. Sharmaā€™s roles include supervising postgraduate students, coordinating various institutional cells, and participating actively in academic and research committees. Her career reflects a deep commitment to both education and research, underpinned by her leadership in advancing medical imaging technology.

Environmental Health

Dr. Dolly A Sharma’s research, while primarily focused on medical imaging technology, has significant implications for environmental health. Her work in developing and refining imaging techniques enhances the early diagnosis and management of health conditions that can be influenced by environmental factors. For instance, her studies on variations in abdominal aorta size and gender determination using CT scans contribute to a better understanding of health conditions that may be affected by environmental exposures. Additionally, her research on prenatal diagnostics helps in early detection of conditions potentially related to environmental factors, supporting better health outcomes for both mothers and infants. Although not directly targeting environmental health, Dr. Sharma’s contributions indirectly support efforts to mitigate health impacts from environmental issues through improved diagnostic capabilities and a better understanding of various health conditions. Her work underscores the importance of advanced imaging techniques in addressing and managing health challenges influenced by the environment.

Research Interests šŸ”¬

Dr. Dolly A Sharma’s research interests primarily focus on advancing medical imaging technology, with a particular emphasis on diffusion tensor MRI and its applications in diagnosing brain pathologies. Her work explores innovative imaging techniques to improve diagnostic accuracy and understanding of various health conditions. Dr. Sharma is also interested in forensic imaging and its role in gender determination and anatomical studies using computed tomography. Her research extends to the impact of imaging technology on prenatal diagnostics and public health, including studies on breast cancer awareness and the effects of COVID-19 on medical professionals. Her multidisciplinary approach combines medical imaging with applied research to address both diagnostic challenges and public health issues, reflecting her commitment to advancing healthcare through technological innovation and practical applications.

Award and Honors

Dr. Dolly A Sharma has garnered notable recognition for her contributions to the field of medical imaging technology. She received the Charusat Research Paper Award in January 2022 and again in January 2024, underscoring her excellence in research. Her work has been widely acknowledged for its impact on medical diagnostics and health education. Additionally, Dr. Sharma has played a significant role in drafting and reviewing model curricula for medical radiology and imaging technology, as part of the Ministry of Health and Family Welfare’s Allied Health Council in India. These accomplishments highlight her leadership and commitment to advancing her field. Her ongoing contributions to research, combined with her administrative roles and involvement in various professional committees, further reflect her dedication and influence in the academic and scientific communities.

Research Skills

Dr. Dolly A Sharma possesses a robust set of research skills, honed through years of experience in medical imaging technology and related fields. Her expertise includes advanced techniques in diffusion tensor MRI, which she applies to investigate brain structure and function. She is adept at utilizing computed tomography (CT) and magnetic resonance imaging (MRI) for diagnostic purposes, showcasing her proficiency in handling complex imaging equipment and software. Dr. Sharma demonstrates strong analytical skills through her detailed research on factors affecting liver volume and gender determination using CT scans. Her ability to conduct applied research is evident in her work on improving public health awareness and addressing prenatal conditions. Additionally, her collaborative nature is highlighted by her successful co-authorship of numerous publications, reflecting her capacity to work effectively within multidisciplinary teams. Overall, Dr. Sharmaā€™s research skills are characterized by technical expertise, analytical rigor, and a commitment to impactful, applied research.

Conclusion

Dr. Dolly A Sharmaā€™s extensive research portfolio, applied focus, and contributions to medical imaging technology make her a strong candidate for the Research for Women Researcher Award. Her work addresses significant health issues, contributes to community well-being, and showcases her commitment to advancing scientific knowledge. Her recognition through awards and her collaborative efforts further support her candidacy for this award.

Publications Top Notes šŸ“š
  • Knowledge of Handling the Personal Protective Equipment by Frontline Allied Health Professionals in COVID-19 Outbreakā€”A Web-Based Survey Study
    • Authors: S. Ojha, M. Debnath, D. Sharma, A. Niraula
    • Year: 2021
    • Citations: 21
  • Perceptions of medical and allied health students towards online education during the COVID-19 pandemic phases and its future impact in India
    • Authors: M. Debnath, S. Ojha, A. Niraula, D. Sharma
    • Year: 2021
    • Citations: 8
  • Gender Determination of an Individual by Scapula using Multi Detector Computed Tomography Scan in Dakshina Kannada Population-A Forensic Study
    • Authors: M. Debnath, R. P. Kotian, D. Sharma
    • Year: 2018
    • Citations: 7
  • Professional Quality of Life Among Medical Imaging Technologists and Radiologists During COVID-19 Pandemic in India
    • Authors: D. Sharma, A. Verma, M. Debnath, S. Ojha, A. Niraula
    • Year: 2022
    • Citations: 2
  • Diffusion Tensor MRI of Brain in Healthy Adult Population: Normative Fractional Anisotropy Values at 3 Tesla MRI
    • Authors: D. K. V. Mehta, D. A. Sharma
    • Year: 2023
    • Citations: 1
  • Prenatal diagnosis of anencephaly and acrania in pregnant femalesā€“Report series of eight cases
    • Authors: M. Debnath, D. Sharma, S. Mishra
    • Year: 2020
    • Citations: 1
  • Estimation of Gender Accuracy of an Individual by Zygomatic Bone Measurement Using Multi-Detector Computed Tomography Scan in Kannada Population – A Forensic Study
    • Authors: B. D. Manna Debnath, Dolly Sharma, Rahul P. Kotian
    • Year: 2019
    • Citations: 1
  • Estimation of Factors Affecting Volume of Liver Using Liver Analysis Software in Computed Tomography
    • Author: P. Dolly Sharma
    • Year: 2015
    • Citations: 1*
  • Influence of Age and Gender on Sacroiliac Joint Space Measured on Computed Tomography
    • Author: D. Sharma
    • Year: 2015
    • Citations: 1
  • Employing Computed Tomography to Assess Clavicle Symmetry in Healthy Adults in the Indian Population of Dakshina Karnataka
    • Authors: M. A. Barde, D. A. Sharma, S. Yadav
    • Year: 2024

 

Avatharam Ganivada | Medical Image Analysis | Best Researcher Award

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Assist Prof Dr. Avatharam Ganivada | Medical Image Analysis | Best Researcher Award

Asst. Professor, University of Hyderabad, India

Assistant Professor Dr. Avatharam Ganivada, renowned for his expertise in Medical Image Analysis, has been honored with the esteemed Best Researcher Award. šŸ† His exemplary contributions, particularly in the realm of analyzing medical images for diagnostic and therapeutic advancements, have garnered widespread acclaim. Hailing from the University of Hyderabad, India, Dr. Ganivada’s dedication to pushing the boundaries of medical research is truly commendable. His innovative approaches and groundbreaking discoveries continue to inspire both peers and students alike, shaping the future of medical imaging and healthcare. šŸŒŸ

Profile

Google Scholar

Education šŸŽ“

Dr. Avatharam Ganivada holds a Ph.D. in Computer Science and Engineering from Calcutta University, with research conducted at the Center for Soft Computing Research, Indian Statistical Institute, during Dec. 2009ā€“Aug. 2015. Additionally, she completed a certificate course on soft computing and machine learning at the same institute in 2009, and obtained her M.Tech. degree in Computer Science and Technology from the University of Mysore in 2008.

Experience šŸ’¼

Dr. Ganivada has a rich professional background, serving as an Assistant Professor at the School of Computer and Information Sciences, University of Hyderabad since March 2017. Prior to academia, she worked as a Data Scientist at ProKarma Soft. Pvt. Ltd., Hyderabad, from September 2015 to February 2017.

Research Interests šŸ§ 

Dr. Ganivada’s research interests encompass various aspects of computer science, including deep learning, neural networks, pattern recognition, and bioinformatics. She is particularly focused on developing innovative solutions for image processing, object detection, and classification, as evidenced by her extensive publication record.

Awards and Recognition šŸ†

Dr. Ganivada’s academic achievements have been recognized through prestigious fellowships, including the J.C. Bose Fellowship for her Ph.D. research and the AICTE GATE fellowship during her M.Tech. Additionally, she has served as a reviewer for esteemed journals and conferences in her field.

Publications šŸ“š

  • “Deep Learning and Genetic Algorithm-based Ensemble Model for Feature Selection and Classification of Breast Ultrasound Images”, Image and Vision Computing, Accepted, 2024.

Ammar Oglat | Medical Imaging | Best Researcher Award

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Assoc Prof Dr. Ammar Oglat | Medical Imaging | Best Researcher Award

Associate Professor at The Hashemite University, Jordan.

Dr. Ammar Oglat, an Associate Professor in Academic Radiology at the Hashemite University, Jordan, holds a PhD in Academic Radiology from the University Science Malaysia. His research focuses on advancing vascular imaging and blood flow analysis through innovative techniques and imaging modalities. Dr. Oglat’s contributions have been recognized with prestigious awards, including the SANGGAR SANJUNG AWARD and the Journal of Medical Ultrasound’s Visiting Scholarship Program prize. With a commitment to excellence, his work aims to improve diagnostic accuracy and treatment outcomes, driving advancements in medical imaging technologies and enhancing patient care.

Professional Profiles:

Education:

Dr. Ammar Oglat has pursued an illustrious academic journey culminating in a PhD in Academic Radiology from the University Science Malaysia (USM), Penang, Malaysia, in 2019. His doctoral research focused on the efficacy and compatibility of blood-mimicking fluid in vascular wall-less flow phantom for use in Doppler ultrasound applications. Prior to his PhD, Dr. Oglat earned an M.Sc. in Medical Physics and Radiological Applications, also from USM, where he conducted research on the study of blood flow parameters using laser Doppler imaging. His educational background also includes a B.Sc. in Radiologic Technology from the Jordan University of Sciences and Technology (JUST), Irbid, Jordan. This diverse academic journey has equipped Dr. Oglat with comprehensive expertise in academic radiology and medical diagnostic imaging, positioning him as a valuable contributor to the field.

Research Experience:

Dr. Ammar Oglat’s research experience is extensive and diverse, spanning various aspects of academic radiology and medical imaging. He has conducted pioneering research in areas such as blood flow dynamics, vascular imaging techniques, and the development of novel imaging phantoms. His doctoral research focused on investigating the efficacy and compatibility of blood-mimicking fluid in vascular wall-less flow phantoms for Doppler ultrasound applications, contributing valuable insights to the field. Additionally, his master’s thesis explored blood flow parameters in forehand skin vasculature using laser Doppler imaging, further enhancing our understanding of vascular physiology. Dr. Oglat’s research endeavors have not only advanced knowledge in academic radiology but have also paved the way for innovative applications in medical imaging technologies.

Research Interest:

Dr. Ammar Oglat’s research interests lie at the intersection of academic radiology, medical physics, and diagnostic imaging. He is particularly passionate about exploring innovative techniques and methodologies to enhance vascular imaging and blood flow analysis. His research endeavors focus on areas such as the development of advanced imaging phantoms, the optimization of imaging protocols for better diagnostic accuracy, and the exploration of novel imaging modalities for clinical applications. Dr. Oglat is also interested in the application of medical imaging in radiation therapy planning and dosimetry, aiming to improve treatment outcomes for patients. With a keen focus on both theoretical advancements and practical applications, Dr. Oglat’s research contributes to the ongoing evolution of medical imaging technologies and their critical role in healthcare delivery.

Award and Honors:

Dr. Ammar Oglat’s dedication and contributions to the field of academic radiology have been recognized through various prestigious awards and honors. He has been honored with the “SANGGAR SANJUNG AWARD” and “Hadiah Sanjungan AWARD” for his outstanding achievements in journal publications in the year 2018. Additionally, the Journal of Medical Ultrasound awarded him the best prize of the Visiting Scholarship Program in 2019, acknowledging his exceptional contributions to the field. These accolades reflect Dr. Oglat’s commitment to excellence in research and academic endeavors, underscoring his significant impact on advancing knowledge and innovation in academic radiology and medical imaging.

Research Focus:

Dr. Ammar Oglat’s research focus encompasses a broad spectrum of topics within academic radiology and medical imaging. His primary interests lie in investigating innovative techniques and methodologies to enhance vascular imaging and blood flow analysis. Through his research, Dr. Oglat aims to develop advanced imaging phantoms and optimize imaging protocols to improve diagnostic accuracy in clinical settings. Additionally, he explores novel imaging modalities and their applications in various medical disciplines, including radiation therapy planning and dosimetry. By combining theoretical advancements with practical applications, Dr. Oglat’s research contributes to the ongoing evolution of medical imaging technologies, ultimately striving to enhance patient care and treatment outcomes.

Publications:

  1. A review of medical doppler ultrasonography of blood flow in general and especially in common carotid artery
    • Authors: AA Oglat, MZ Matjafri, N Suardi, MA Oqlat, MA Abdelrahman, AA Oqlat
    • Year: 2018
    • Citations: 163
  2. Chemical characteristics, motivation and strategies in choice of materials used as liver phantom: a literature review
    • Authors: MS Ahmad, N Suardi, A Shukri, H Mohammad, AA Oglat, A Alarab
    • Year: 2020
    • Citations: 44
  3. Chemical items used for preparing tissue-mimicking material of wall-less flow phantom for doppler ultrasound imaging
    • Authors: AA Oglat, MZ Matjafri, N Suardi, MA Oqlat, MA Abdelrahman, AA Oqlat
    • Year: 2018
    • Citations: 42
  4. A study of the effects of aligned vertically growth time on ZnO nanorods deposited for the first time on Teflon substrate
    • Authors: OF Farhat, MM Halim, NM Ahmed, AA Oglat, AA Abuelsamen
    • Year: 2017
    • Citations: 37
  5. Rapid sonochemically-assisted synthesis of highly stable gold nanoparticles as computed tomography contrast agents
    • Authors: M Ali Dheyab, A Abdul Aziz, MS Jameel, P Moradi Khaniabadi, AA Oglat
    • Year: 2020
    • Citations: 36
  6. Focused role of nanoparticles against COVID-19: Diagnosis and treatment
    • Authors: MA Dheyab, PM Khaniabadi, AA Aziz, MS Jameel, B Mehrdel, AA Oglat
    • Year: 2021
    • Citations: 27
  7. Dynamic hepatocellular carcinoma model within a liver phantom for multimodality imaging
    • Authors: MS Ahmad, N Suardi, A Shukri, NNAN Ab Razak, AA Oglat, O Makhamrah
    • Year: 2020
    • Citations: 25
  8. A review of suspension-scattered particles used in blood-mimicking fluid for Doppler ultrasound imaging
    • Authors: AA Oglat, N Suardi, MZ Matjafri, MA Oqlat, MA Abdelrahman, AA Oqlat
    • Year: 2018
    • Citations: 22
  9. A new scatter particle and mixture fluid for preparing blood mimicking fluid for wall-less flow phantom
    • Authors: AA Oglat, MZ Matjafri, N Suardi, MA Abdelrahman, MA Oqlat, AA Oqlat
    • Year: 2018
    • Citations: 21
  10. Plastic fiber evanescent sensor in measurement of turbidity
    • Authors: S Yeoh, MZ Matjafri, KN Mutter, AA Oglat
    • Year: 2019
    • Citations: 20