Avatharam Ganivada | Medical Image Analysis | Best Researcher Award

Posted on by ScienceFather

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. 🏆 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. 🌟

Profile

Google Scholar

Education 🎓

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. 2009–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 💼

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 🧠

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 🏆

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 📚

  • “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

Posted on by ScienceFather

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