Christine Tang | Radiology | Best Researcher Award

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Dr. Christine Tang | Radiology | Best Researcher Award

Baylor College of Medicine | United States

Dr. Christine Tang is a Diagnostic Radiology Resident at Baylor College of Medicine, Houston, Texas (2024–2028), following a Transitional Year Residency at SSM St. Anthony Hospital, Oklahoma City (2023–2024). She earned her MD from Baylor College of Medicine (2019–2023) and graduated magna cum laude in Kinesiology–Sports Medicine from Rice University, receiving Phi Beta Kappa honors. Her extensive research spans radiology, neurology, oncology, and molecular imaging, with publications in Gynecologic Oncology, Brain and Behavior, Journal of Neuro-Ophthalmology, and Endoscopy International Open. Dr. Christine Tang has contributed to studies on immunotherapy-radiation synergy, neural stem cell metabolism, and health policy impacts. She has taught musculoskeletal radiology, developed electives on incarceration and climate change in health, and held leadership roles in the Radiology Interest Group and Curing Kids Cancer. Dedicated to research, education, and service, she exemplifies academic excellence and compassionate medical leadership

Profile: Google Scholar

Featured Publications

  • Sezen, D., Patel, R. R., Tang, C., Onstad, M., Nagarajan, P., Patel, S. P., Welsh, J. W., et al. (2021). Immunotherapy combined with high- and low-dose radiation to all sites leads to complete clearance of disease in a patient with metastatic vaginal melanoma. Gynecologic Oncology, 161(3), 645–652.

  • Tang, C., Chen, K., Bajic, A., Choi, W. T., Baluya, D. L., & Maletic-Savatic, M. (2018). Analytical platforms and techniques to study stem cell metabolism. In Somatic Stem Cells: Methods and Protocols (pp. 265–281). Humana Press.

  • Pham, C., Roy, C., Tang, C., & Maheshwari, A. (2022). Low recognition of attention deficit hyperactivity disorder in adult patients admitted to the Epilepsy Monitoring Unit. Brain and Behavior, 12(8), e32731.

  • Tang, C., Sadiq, M., Ravizzini, G., & Salem, A. E. (2025). Current applications of molecular imaging in adrenal imaging. Magnetic Resonance Imaging Clinics of North America.

  • Jacob, J. S., Than, J., Tang, C., Cano, J., Sheikh, R., Wolfson, S., Thrift, A. P., et al. (2025). Outcomes of retained gastrointestinal debris during upper endoscopy. Endoscopy International Open, 13.

Muhayman Sadiq | Radiology | Best Researcher Award

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Dr. Muhayman Sadiq | Radiology | Best Researcher Award

UTHealth Houston | United States

Dr. Muhayman Sadiq is an outstanding clinician–scientist specializing in diagnostic and musculoskeletal radiology, currently serving as a Preliminary Internal Medicine Resident at McGovern Medical School, UTHealth Houston, with an advanced specialty in Diagnostic Radiology, in collaboration with the MD Anderson Cancer Center. A Valedictorian and MBBS Gold Medalist from King’s College London, Dr. Sadiq has earned numerous accolades, including the Betuel Prize in Medicine, Cheselden Medal, Todd Prize, EFORT Jacques Duparc Award, and multiple distinctions for academic and research excellence. His scholarly portfolio includes 7 full-length manuscripts, 6 book chapters (Springer, ARRS, Medblend), and 40+ international conference presentations across RSNA, ARRS, ACR, ASER, and ECR. He has achieved 15 citations, 7 indexed documents, and an h-index of 2, reflecting early-career research impact. His areas of research encompass AI in radiology, musculoskeletal imaging, molecular imaging, and surgical sustainability. Beyond research, he contributes as a Junior Editor at ACORE, reviewer for PLOS One and Medblend Publishing, and Founder & President of the National Education and Mentorship Society (UK). Fluent in English, Urdu, and Hindi, Dr. Sadiq demonstrates a rare combination of clinical excellence, academic leadership, and humanitarian engagement, making him a highly deserving candidate for recognition among the next generation of global radiology innovators.

Profile: Scopus | Orcid

Featured Publications

Musbahi, O., Ahmed, A., Hall, T., Kutyla, K., Sadiq, M., Cobb, J., Bottle, A., Van Arkel, R., & Jones, G. (2025). Deep learning classification models demonstrate high accuracy and clinical potential in radiograph interpretation in the arthroplasty clinical pathway: A systematic review and meta‐analysis. Journal of Experimental Orthopaedics.

Ng, J., Sadiq, M., & Mansoor, Q. (2023). Ocular toxicity following carboplatin chemotherapy for neuroendocrine tumour of the bladder. Journal of Oncology Pharmacy Practice.

Yucheng li | Digital image processing | Best Researcher Award

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Mr. Yucheng li | Digital image processing | Best Researcher Award

Mr. Yucheng li, Aviation maintenance NCO academy of Air Force Engineering University, China

Mr. Yucheng Li is a lecturer and researcher at the Aviation Maintenance NCO Academy of Air Force Engineering University, specializing in digital image processing. His research focuses on image enhancement, pattern recognition, image segmentation, feature extraction, and hyperspectral imaging, with practical applications in computer vision. From 2023 to 2025, he authored three SCI-indexed papers and publicly disclosed three invention patents, showcasing a strong contribution to both academic research and innovation. Mr. Li teaches undergraduate courses in digital image processing, signal analysis, and machine learning, integrating advanced methodologies such as deep learning, wavelet transforms, and compressive sensing into his instruction and research. Technically skilled in MATLAB, Python (OpenCV, TensorFlow, PyTorch), and C++, he brings a multidisciplinary approach to engineering education and applied technology. Based in Xinyang City, Henan Province, China, Mr. Li continues to advance high-impact research while fostering the next generation of digital technology professionals.

Publication Profile

Scopus

Professional Experience

Mr. Yucheng Li serves as a lecturer and researcher at the Aviation Maintenance NCO Academy of Air Force Engineering University, where he plays a vital role in shaping the academic and technical competencies of future engineers. In this capacity, he is responsible for teaching core undergraduate courses, including digital image processing, signal analysis, and machine learning. His instructional approach combines theoretical foundations with hands-on applications, ensuring students gain both conceptual understanding and practical expertise. By incorporating real-world case studies and advanced tools into his curriculum, Mr. Li fosters a dynamic and forward-looking learning environment. His professional experience is rooted in a deep knowledge of cutting-edge technologies, which he uses to bridge the gap between academic instruction and modern technological demands. Mr. Li’s commitment to academic excellence and student mentorship makes him a valuable contributor to the university’s mission of advancing engineering education in critical technological domains.

Innovative Researcher in Digital Image Processing

Mr. Yucheng Li is a dedicated lecturer and researcher at the Aviation Maintenance NCO Academy of Air Force Engineering University, with a specialized focus on digital image processing. His professional expertise centers on critical areas such as image enhancement, pattern recognition, and computer vision applications. Over the past two years, Mr. Li has demonstrated significant contributions to the field through the publication of high-impact research papers and the disclosure of innovative patents. His work not only advances theoretical understanding but also supports practical implementations in technologically intensive environments, especially in defense and aviation contexts. Mr. Li’s academic role involves teaching advanced topics like digital image processing and signal analysis, where he integrates cutting-edge methods and tools to prepare students for real-world challenges. With a strong commitment to innovation and academic excellence, Mr. Li continues to play a pivotal role in advancing the application of digital imaging technologies.

Research Focus

Mr. Yucheng Li’s research, as reflected in his recent work titled “Experimental Study on Glass Deformation Calculation Using the Holographic Interferometry Double-Exposure Method,” highlights his specialized focus in optical measurement techniques, image analysis, and experimental mechanics. This study, published in Applied Sciences (Switzerland) in 2025, demonstrates his expertise in applying advanced imaging methodologies to structural analysis problems. The use of holographic interferometry for deformation calculation showcases his integration of physics-based measurement with digital image processing, reinforcing his proficiency in non-contact, high-precision optical diagnostics. This research falls under the broader categories of digital image processing, optical engineering, photomechanics, and applied physics. His work contributes to the development of accurate and innovative techniques for detecting material changes and structural deformations, essential in aerospace, materials science, and defense applications. Through such research, Mr. Li continues to bridge traditional mechanical analysis with modern computational imaging approaches

Publication Top Notes

Experimental Study on Glass Deformation Calculation Using the Holographic Interferometry Double-Exposure Method

Conclusion

Mr. Yucheng Li demonstrates solid academic and technical credentials, particularly with recent contributions to the field of digital image processing through high-quality publications and innovation. His background in defense education adds a layer of national relevance, while his use of modern AI tools and methodologies aligns with cutting-edge research practices. While global engagement and broader impact indicators could further support his candidacy, his trajectory and research productivity from 2023–2025 make him a highly suitable and promising nominee for the Research for Best Researcher Award.

 

 

Orit Jacobson | Molecular Imaging | Best Researcher Award

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Dr. Orit Jacobson | Molecular Imaging | Best Researcher Award

Staff Scientist, National Institutes of Health, United States 

Mesfin Dagne Asefa is a skilled Computer Science professional with diverse experience in academia and technology. He holds an M.Sc. in Computer Science from Central South University, China, and a B.Ed. in Computer Science from Adama University, Ethiopia. Mesfin is currently a Lecturer and Head of the Department of Computer Science and Engineering at Adama Science and Technology University. He has a strong background in programming languages (C, Java, C++, etc.), web development, and database management. 🌐💻

Publication Profile

Orcid

Educational Background

Mesfin Dagne Asefa holds an M.Sc. in Computer Science and Technology from Central South University, China, where he graduated with excellence (GPA 3.8/4) in June 2015. His thesis focused on “CCCenter: Energy-Efficient Continuous Context Sensing Middleware.” Prior to that, he completed his studies as a General Scholar at Hunan University, China, with a GPA of 3.87/4 in 2012. Mesfin also earned a B.Ed. in Computer Science and IT with Great Distinction (GPA 3.58/4) from Adama University (now Adama Science and Technology University), Ethiopia, where he developed a Human Resource Management System as part of his final project. 🌍💻

Work Experience

Mesfin Dagne Asefa has extensive teaching and administrative experience in Ethiopia’s higher education institutions. Since October 2018, he has been serving as a Lecturer and Head of the Department of Computer Science and Engineering at Adama Science and Technology University (ASTU), where he also coordinates the e-learning center and heads the School Registrar. He has held various leadership roles, including Acting Head of School Registrar and member of several key committees. Previously, Mesfin worked as a Lecturer and Head of the Department of Information Systems at Hawassa University and Jigjiga University, delivering courses and guiding students. His early career involved part-time work as a Help Desk Assistant at Adama University. 📚👨‍💻

 

Research Focus

Dr. Orit Jacobson’s research primarily focuses on molecular imaging and pharmacokinetics in the context of nanobody-based PET tracers. Her work involves exploring the comparative kidney uptake of these tracers when labeled with various fluorine-18-labeled prosthetic groups. This research plays a crucial role in enhancing the precision of molecular imaging, particularly in targeted drug delivery systems and cancer diagnosis. Her work contributes to advancing non-invasive imaging techniques, providing insights into radiopharmaceutical development, and improving therapeutic monitoring. 🧬🔬💉📡

 

Publication Top Notes

Comparative Kidney Uptake of Nanobody-Based PET Tracers Labeled with Various Fluorine-18-Labeled Prosthetic Groups

 

Navreet | Radio-imaging Techniques | Excellence in Research

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Mr. Navreet | Radio-imaging Techniques | Excellence in Research

Mr. Navreet, Teerthanker Mahaveer Nagar, India

Mr. Navreet appears to be a strong candidate for the “Excellence in Research” award based on the following factors:

Publication profile

Extensive Academic Experience

With over four years of experience as an Assistant Professor at multiple universities, he has demonstrated a commitment to both teaching and academic leadership.

Publications

  • Role of green and sustainable practices in shaping the future of medical imaging technology: A cross-sectional multi-stakeholder analysis among students, radiographers, and academic experts
  • Assessment of Knowledge of Radiography Students about Personnel Radiation Monitoring Devices and Their Use

Curriculum Design and Development

His contributions to curriculum design for both undergraduate and postgraduate programs in Radio Imaging Technology underscore his influence in shaping academic programs.

Professional Involvement

His roles in various committees, such as NAAC accreditation, examination, and alumni placement, highlight his active participation in academic governance and quality assurance.

Pursuing Ph.D.

His ongoing doctoral research in Radio Imaging Techniques further enhances his research credentials and aligns with the pursuit of excellence in his field.

Conclusion

Overall, Mr. Navreet’s combination of academic experience, publication record, and involvement in curriculum development and professional activities make him a suitable candidate for the “Excellence in Research” award.

Ammar Oglat | Medical Imaging | Best Researcher Award

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

researcher and academic, The Hashemite University, jordan

Ammar Anwar Khaled Oglat, born on July 6, 1992, is an Associate Professor with a PhD in Academic Radiology. He specializes in Academic Radiology with a focus on Medical Diagnostic Imaging. Currently affiliated with The Hashemite University in Zarqa, Jordan, his research interests span various aspects of medical imaging, particularly in ultrasound and Doppler ultrasound applications.

Profile

Google Scholar

Education 🎓

Dr. Oglat completed his PhD in Academic Radiology (Medical Diagnostic Imaging) at the University Science Malaysia (USM), Penang, Malaysia, in 2019. His thesis titled “Efficacy and Compatibility of Blood-Mimicking Fluid in vascular Wall-Less Flow Phantom for use in Doppler Ultrasound Applications” showcases his expertise in the field. Prior to his doctoral studies, he obtained his M.Sc. in Medical Physics and Radiological Applications, also from USM, and his B.Sc. in Radiologic Technology from the Jordan University of Sciences and Technology (JUST) in 2016 and 2014 respectively.

Experience 💼

With a rich blend of academic and practical experience, Dr. Oglat has served in various capacities. He has held teaching positions at USM, where he served as a Teaching Assistant from February 2017 to June 2019. Currently, he holds the position of Associate Professor at The Hashemite University since September 2023, where he previously served as an Assistant Professor from October 2019 to September 2023. Additionally, he served as the Chairman of the Medical Imaging Department at The Hashemite University from October 2021 to October 2023.

Research Interests 🔬

Dr. Oglat’s research interests revolve around the advancement of medical imaging technologies, particularly in the field of ultrasound and Doppler ultrasound. His work encompasses the development of novel blood-mimicking fluids, wall-less flow phantoms, and the exploration of various parameters influencing blood flow in different vascular regions.

Awards 🏆

In recognition of his scholarly contributions, Dr. Oglat has received several awards, including the “SANGGAR SANJUNG AWARD” and the “Hadiah Sanjungan AWARD” for excellent achievement in journal publications in 2018. Additionally, the Journal of Medical Ultrasound awarded him the best prize for the Visiting Scholarship Program in 2019.

Publication Top Notes📚

Dr. Oglat has published extensively in reputable journals, contributing significantly to the body of knowledge in medical imaging. Some notable publications include:

“A NEW BLOOD MIMICKING FLUID USING PROPYLENE GLYCOL AND THEIR PROPERTIES FOR A FLOW PHANTOM TEST OF MEDICAL DOPPLER ULTRASOUND” in the International Journal of Chemistry, Pharmacy& Technology, 2017.

“A review of medical doppler ultrasonography of blood flow in general and especially in common carotid artery” in the Journal of Medical Ultrasound, 2018.

“Chemical items used for preparing tissue-mimicking material of wall-less flow phantom for doppler ultrasound imaging” in the Journal of Medical Ultrasound, 2018.