Dr. Keiichiro Kuronuma – Nuclear Imaging – Best Researcher Award

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Dr. Keiichiro Kuronuma - Nuclear Imaging - Best Researcher Award

National Hospital Organization Okayama Medical Center - Japan

Author Profile 

SCOPUS

Early academic pursuits 🎓

Keiichiro Kuronuma's academic journey began at nihon university, where he earned both his m.d. and ph.d., laying the foundation for his illustrious career in cardiology. his early studies focused on the intricacies of heart disease, providing him with the knowledge and skills needed to excel in this highly specialized field. his dedication to both medicine and research was evident from the beginning, paving the way for his future successes.

Professional endeavors 🏥

After completing his education, keiichiro embarked on a path of clinical excellence. he trained as a fellow in cardiology at nihon university, further sharpening his expertise. seeking to enhance his skill set in advanced imaging, he pursued a fellowship in advanced cardiac imaging at cedars-sinai medical center under the mentorship of dr. daniel berman. this prestigious training led to roles such as chief physician of cardiology at kawaguchi municipal medical center and assistant professor of cardiology at nihon university. today, he serves as the attending physician of cardiology at the national hospital organization okayama medical center.

Contributions and research focus 🔬

Keiichiro’s work is centered around improving diagnostic techniques in cardiology, with a particular focus on nuclear medicine and cardiovascular imaging. his Nuclear Imaging research delves into the use of advanced cardiac imaging techniques like cardiovascular computed tomography and nuclear imaging to enhance the early detection and treatment of heart diseases. through his research, he has contributed to the development of non-invasive methods that provide crucial insights into cardiovascular health.

Accolades and recognition 🏅

Keiichiro’s dedication to his field has earned him board certifications in multiple specialties, including internal medicine, cardiology, nuclear medicine, cardiovascular Nuclear Imaging computed tomography, and cardiovascular interventional therapeutics. these certifications reflect his extensive expertise and his commitment to both patient care and clinical innovation. his accomplishments in the field have positioned him as a respected figure in cardiology.

Impact and influence 🌍

Keiichiro kuronuma’s work has a significant impact on the field of cardiology, particularly in the realm of diagnostic imaging. his expertise in advanced cardiac imaging techniques has improved the accuracy of cardiovascular diagnoses, leading to better treatment outcomes for patients. his contributions have not only enhanced Nuclear Imaging clinical practice but have also inspired other physicians and researchers to explore innovative methods in cardiac care.

Legacy and future contributions 🔮

As Keiichiro continues his work at the national hospital organization okayama medical center, his legacy in cardiology grows. his dedication to improving diagnostic techniques and his commitment to patient care ensure that his influence will endure. future generations of cardiologists will undoubtedly benefit from his pioneering work in advanced cardiac imaging and his leadership in the field.

Notable Publications 

  • Title: Self-reported exercise activity influences the relationship between coronary computed tomography angiographic finding and mortality
    Authors: Natanzon, S.S., Han, D., Kuronuma, K., Berman, D.S., Rozanski, A.
    Journal: Journal of Cardiovascular Computed Tomography, 2024, 18(4), pp. 327–333
  • Title: Downward myocardial creep during stress PET imaging is inversely associated with mortality
    Authors: Kuronuma, K., Miller, R.J.H., Wei, C.-C., Berman, D.S., Slomka, P.J.
    Journal: European Journal of Nuclear Medicine and Molecular Imaging, 2024, 51(6), pp. 1622–1631
  • Title: Patient-Specific Myocardial Infarction Risk Thresholds from AI-Enabled Coronary Plaque Analysis
    Authors: Miller, R.J.H., Manral, N., Lin, A., Slomka, P.J., Dey, D.
    Journal: Circulation: Cardiovascular Imaging, 2024, e016958
  • Title: Automated Motion Correction for Myocardial Blood Flow Measurements and Diagnostic Performance of 82Rb PET Myocardial Perfusion Imaging
    Authors: Kuronuma, K., Wei, C.-C., Singh, A., Berman, D.S., Slomka, P.J.
    Journal: Journal of Nuclear Medicine, 2024, 65(1), pp. 1–8
  • Title: Cardiac Computed Tomography for Quantification of Myocardial Extracellular Volume Fraction: A Systematic Review and Meta-Analysis
    Authors: Han, D., Lin, A., Kuronuma, K., Berman, D.S., Tamarappoo, B.K.
    Journal: JACC: Cardiovascular Imaging, 2023, 16(10), pp. 1306–1317

Assoc Prof Dr. S. Mohsen Asghari – Cancer diagnosis – Best Innovation Award

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Assoc Prof Dr. S. Mohsen Asghari - Cancer diagnosis - Best Innovation Award

University of Tehran - Iran

Professional Profile

ORCID

EARLY ACADEMIC PURSUITS 🎓

S. Mohsen Asghari was born in 1978 and embarked on his academic journey at Gorgan University, Iran, where he earned his B.Sc. in Biology in 2000. He pursued further studies at Tarbiat Modares University, Tehran, completing his M.Sc. in Biochemistry in 2003 and his Ph.D. in 2008. His doctoral research included a significant stint at Utrecht University in the Netherlands, where he honed his expertise in protein engineering.

PROFESSIONAL ENDEAVORS 🏛️

Following his Ph.D., Dr. Asghari joined the University of Guilan in 2009 as an assistant professor, ascending to the role of associate professor in 2017. His academic career took a pivotal turn in 2020 when he joined the Institute of Biochemistry and Biophysics at the University of Tehran. Here, he has been instrumental in advancing research and teaching in the field of novel anticancer peptides. Dr. Asghari’s professional role extends beyond academia as he leads a knowledge-enterprise company focused on peptide-based industrial applications.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Asghari’s research is centered around developing novel peptides and peptidomimetics with potential medical applications. His work includes VEGF-mimicking peptides that interact with key tumor microenvironment receptors and endostatin-derived peptides that inhibit angiogenesis. These peptides are designed to enhance tumor imaging, targeted drug delivery, and the inhibition of pathological angiogenesis, providing Cancer diagnosis innovative solutions for cancer and age-related diseases. His ongoing projects include developing peptide-based technologies for tumor imaging and drug delivery, with a focus on improving therapeutic outcomes and diagnostic precision.

ACCREDITATIONS AND RECOGNITION 🏆

Dr. Asghari holds a US patent for a method of synthesizing antagonist peptides and has published over 80 articles on tumor-targeting peptides. His contributions have been recognized through various awards and fellowships, including the European Association for Cancer Research (EACR) travel fellowship and several industry grants. His editorial roles as Associate Editor for the Iranian Journal of Science and Topic Editor for Cancer diagnosis Frontiers in Oncology further highlight his esteemed position in the scientific community.

IMPACT AND INFLUENCE 🌍

Dr. Asghari’s innovative approach has had a profound impact on cancer research and peptide technology. His work has led to significant advancements in tumor imaging and targeted therapy, influencing both academic research and practical applications. The peptide-based growth supplement for aquaculture developed under his leadership demonstrates his commitment to translating scientific discoveries into real-world Cancer diagnosis solutions, enhancing food security and productivity in Iran.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Asghari’s legacy is defined by his pioneering work in peptide science and his contributions to cancer therapy and imaging. His innovative research continues to push the boundaries of biochemistry and biophysics, with ongoing projects aimed at expanding the applications of peptide technology. His role as CEO of a knowledge-enterprise company underscores his dedication to integrating scientific research with industrial practice, promising continued advancements and practical benefits in the future.

NOTABLE PUBLICATIONS

Novel Gd-DTPA-peptide for targeted breast tumor magnetic resonance imaging  2024

Synthesis, Radiolabeling, and Biodistribution Study of a Novel DOTA-Peptide for Targeting  2024

Design, Synthesis, and Functional Studies on Noscapine and Cotarnine Amino Acid Derivatives as Antitumor Agents  2023

Vascular endothelial growth factor antagonist peptides inhibit tumor growth and metastasis in breast 2023

A VEGFB-Based Peptidomimetic Inhibits VEGFR2-Mediated PI3K/Akt/mTOR and PLCγ/ERK Signaling 2023

Dr. Amina Benabid – Medical image analysis – Best Researcher Award

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Dr. Amina Benabid - Medical image analysis - Best Researcher Award

Zhejiang Normal University - China

Professional Profile

SCOPUS

Early Academic Pursuits

Amina Benabid embarked on her academic journey with a Bachelor's degree in Mathematics from Université Frères Mentouri - Constantine 1, Algeria, which she completed in July 2016. She continued her education with a Master's degree in Mathematics from the same university, focusing on Statistical Tests, and graduated in July 2018. Her academic pursuits culminated in a Doctor of Natural Science in Mathematics from Zhejiang Normal University, China, in June 2022. Her doctoral thesis, supervised by Prof. Dao-Hong Xiang, explored the Convergence Theory of Large Margin Learning.

Professional Endeavors

Dr. Amina Benabid has gained diverse professional experience in both research and academic roles. She served as a Research Assistant at the School of Data Science, City University of Hong Kong, under the supervision of Prof. Ding-Xuan Zhou in July 2019. Subsequently, she held a Medical image analysis Postdoctoral fellowship position at Zhejiang Normal University's College of Mathematical Medicine from August 2022 to August 2024, working under the guidance of Prof. Yuan Jing.

Contributions and Research Focus

Dr. Benabid's research interests are focused on Statistical Learning Theory, Medical Image Analysis, Deep Learning, and Semantic Segmentation. She has made significant contributions to these fields through several publications and ongoing research projects. Her work includes papers Medical image analysis such as "Comparison theorems on large-margin learning" and "CFNet: Cross-scale Fusion Network for Brain Tumor Segmentation on 3D MRI Scans." Her research emphasizes integrating contextual information for enhanced brain tumor classification and developing real-time semantic segmentation models.

Accolades and Recognition

Throughout her career, Dr. Benabid has been recognized for her academic achievements and contributions. She received the Outstanding Award for academic innovation in 2021 and was honored as an Excellent Student in 2022. Her work has been acknowledged at various international conferences, including the 4th International Symposium on Artificial Intelligence for Medical Sciences and the 6th International Symposium on Medical image analysis Image Computing and Digital Medicine.

Impact and Influence

Dr. Amina Benabid's research has had a profound impact on advancing the understanding and application of deep learning techniques in medical image analysis, particularly in the context of brain tumor segmentation. Her contributions to the development of real-time semantic segmentation models using innovative approaches like CFNet and P2AT have set benchmarks in the field.

Legacy and Future Contributions

Looking ahead, Dr. Benabid aims to continue her research endeavors, focusing on further advancements in medical image analysis and deep learning. Her commitment to leveraging artificial intelligence for improving healthcare outcomes underscores her dedication to making significant contributions to the field. Through ongoing research and mentorship, she seeks to inspire future generations of researchers and contribute to transformative innovations in medical imaging technologies.

NOTABLE PUBLICATIONS

P2AT: Pyramid pooling axial transformer for real-time semantic segmentation 2024

LARGE MARGIN UNIFIED MACHINES WITH NON-I.I.D. PROCESS 2022

Comparison theorems on large-margin learning 2021(4)

Dr. Abubakar Magaji – Geological engineering – Best Researcher Award

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Dr. Abubakar Magaji - Geological engineering - Best Researcher Award

China University of Geoscience Wuhan - China

Professional Profile

GOOGLE SCHOLAR

Early Academic Pursuits

Abubakar Magaji embarked on his academic journey at Abubakar Tafawa Balewa University in Bauchi, Nigeria, where he earned a Bachelor of Technology (Hons) in Applied Geophysics. Driven by a passion for engineering and a desire to broaden his expertise, he pursued a Master's degree in Civil Engineering at Cyprus International University in Turkey. Furthering his academic pursuits, he is currently working towards a Ph.D. in Geological Engineering at China University of Geosciences, Wuhan.

Professional Endeavors

Magaji has been an integral part of the academic staff at Federal Polytechnic Mubi in Adamawa State, Nigeria, since 2010. His role as an educator and researcher has allowed him to contribute significantly to the academic community, Geological engineering nurturing the next generation of engineers and geoscientists. His professional experience spans over a decade, marked by dedication to both teaching and research.

Contributions and Research Focus

Throughout his career, Abubakar Magaji has focused on integrating geotechnical and geophysical principles to address engineering challenges. His research has explored the correlation of electrical resistivity of soil with geotechnical engineering parameters in Gombe, Geological engineering northern Nigeria. Additionally, he has investigated the potential of transforming abandoned petroleum wells in the Nigerian sector of the Chad Basin into triplet borehole heat exchangers for sustainable power generation. His work also includes geotechnical investigations of probable aquifers in Gudum, Bauchi, Nigeria.

Accolades and Recognition

Abubakar Magaji's research has been published in various esteemed journals, reflecting the impact and significance of his work in the fields of geophysics and civil engineering. His dedication to advancing engineering science has earned him recognition within the academic community, Geological engineering where he is known for his rigorous research and innovative approaches.

Impact and Influence

Magaji's work has practical implications for infrastructure development and sustainable engineering practices in Nigeria and beyond. His research on soil resistivity and geotechnical parameters aids in the design and construction of safer, more reliable infrastructure. The innovative transformation of abandoned wells into heat exchangers highlights his commitment to sustainable engineering solutions. His contributions to material science through studies on self-healing concrete and alkali-silica reaction have the potential to enhance the durability and sustainability of construction projects.

Legacy and Future Contributions

Abubakar Magaji's legacy is defined by his commitment to education, research, and the application of engineering principles to solve real-world problems. As he continues his academic journey with a Ph.D. in Geological Engineering, his future contributions are poised to further advance the fields of geophysics, civil engineering, and sustainable energy. Magaji's work not only impacts current engineering practices but also paves the way for future innovations, ensuring a lasting influence on the engineering community.

NOTABLE PUBLICATIONS

A Review Paper on Alkali Silica Reactions in Concrete  2022

Correlation of Electrical Resistivity of Soil with Geotechnical Parameters (Atterberg Limits)   2020

Geotechnical Investigation of Probable Aquifers Using Electrical Resistivity Method inSabonkauraBauchi(Northern Nigeria)   2018

Dr. Yasser El-Sharkawy  – Hyperspectral imaging – Best Researcher Award

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Dr. Yasser El-Sharkawy  - Hyperspectral imaging - Best Researcher Award

Military technical college - Egypt

Professional Profile

SCOPUS

ORCID

Early Academic Pursuits

Dr. Yasser Hassan El-Sharkawy embarked on his academic journey with a Bachelor of Electrical Engineering from the Military Technical College in Cairo, Egypt, graduating in 1993. His passion for electrical engineering led him to pursue a Master's degree in the same field, followed by a Ph.D. in Biomedical Engineering from the Military Technical College in Cairo. During his doctoral studies, Dr. El-Sharkawy explored the ultra-structure effects caused by irradiation of YAG laser, pioneering research in surface photoacoustic techniques for discriminating between normal and malignant tissue.

Professional Endeavors

As a distinguished expert in the field of biomedical and optoelectronic engineering, Professor Yasser H. El-Sharkawy has held various prestigious positions throughout his career. Currently, he serves as a Professor in the Biomedical Engineering Department at the Military Technical College in Cairo, Egypt. He has also chaired the optoelectronic department's scientific council and held leadership roles in postgraduate affairs. Additionally, he has served as the former head of the biomedical department at the Military Technical College and as an editor for esteemed journals in the field.

Contributions and Research Focus

Dr. El-Sharkawy's research endeavors have focused on leveraging optoelectronic technologies for biomedical applications, particularly in medical imaging and diagnostics. He has made significant contributions to the development of innovative imaging techniques such as photoacoustic imaging for breast cancer detection and laser Doppler velocimetry for measuring blood flow and tissue perfusion. His pioneering work in these areas has paved the way for advancements in early disease detection and monitoring, with implications for both medical and military applications.

Accolades and Recognition

Professor El-Sharkawy's outstanding contributions to the field have been recognized through numerous accolades and awards. He has received recognition for his research excellence with Best Paper Awards at prestigious conferences and has published over 70 indexed papers in international journals. Hyperspectral imaging His work in biomedical engineering and optoelectronic technologies has garnered widespread acclaim within the scientific community, further solidifying his reputation as a leading expert in the field.

Impact and Influence

Dr. El-Sharkawy's research has had a profound impact on the fields of biomedical engineering and optoelectronics, contributing to advancements in medical imaging, diagnostics, Hyperspectral imaging and security technologies. His innovative approaches to imaging and detection techniques have the potential to revolutionize patient care and enhance security measures worldwide. Furthermore, his leadership roles and mentorship of postgraduate students have nurtured the next generation of researchers and engineers, ensuring a lasting legacy of innovation and excellence.

Legacy and Future Contributions

As Dr. El-Sharkawy continues to push the boundaries of biomedical engineering and optoelectronic technologies, his legacy as a pioneer in the field is assured. His ongoing research and commitment to advancing medical imaging technologies hold the promise of transformative impact on healthcare delivery and security applications. Dr. El-Sharkawy's multifaceted expertise, Hyperspectral imaging leadership, and dedication to research excellence position him as a driving force in shaping the future of biomedical engineering and optoelectronics.

NOTABLE PUBLICATIONS 

Multi-wavelength interference phase imaging for automatic breast cancer detection  2024(2)

Instant plastic waste detection on shores using laser-induced fluorescence and associated hyperspectral imaging  2024

Novel laser-induced linear polarization for facile diagnosis of hepatocellular carcinoma  2024

A novel visible and near-infrared hyperspectral imaging platform for automated breast-cancer detection  2024

Enhancing automatic inspection and characterization of carbon fiber composites through hyperspectral diffuse  2024