Apoorva Safai | Neuroscience | Best Researcher Award

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Dr. Apoorva Safai | Neuroscience | Best Researcher Award 

Postdoctoral Research Associate, at University of Wisconsin-Madison, United States.

Dr. Apoorva Safai is a distinguished researcher specializing in neuroimaging, with a focus on deep learning applications in medical imaging and multimodal MRI analysis. She is currently a Postdoctoral Research Associate at the Integrating Diagnostics and Analytics (IDiA) Lab at the University of Wisconsin–Madison. Throughout her career, Dr. Safai has contributed significantly to understanding neurological disorders, particularly Parkinson’s disease and Alzheimer’s disease. Her research integrates advanced imaging techniques with machine learning to uncover intricate patterns in brain connectivity and structure. Dr. Safai’s work has been recognized through various awards and grants, underscoring her commitment to advancing medical imaging and neurodegenerative disease research. ​Idia Labs

Professional Profile

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ORCID

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Education 🎓

Dr. Safai’s academic journey began with a Bachelor of Engineering in Electronics Engineering from P.V.P.I.T College, University of Pune, where she graduated with 65.4% marks in 2012. She pursued a Master of Technology in Biomedical Engineering at VIT University, Vellore, achieving a CGPA of 8.49 in 2015. Her passion for research led her to earn a PhD in Engineering from Symbiosis International University, Pune, between 2018 and 2023. Her doctoral research focused on developing a multimodal brain connectomic framework employing graph attention networks on structural and functional brain data, aiming to enhance the prediction and understanding of neurological disorders. ​Idia Labs

Experience 🧠

Dr. Safai’s professional experience is rich and diverse. Since April 2023, she has been serving as a Postdoctoral Research Associate at the IDiA Lab, University of Wisconsin–Madison, focusing on deep learning applications in optical coherence tomography and neuroimaging. Prior to this, she was a Senior Research Fellow and PhD Scholar at the Symbiosis Centre for Medical Image Analysis, Pune, from September 2021 to May 2022, where she worked on multimodal MRI analysis and deep learning models for neurological disorders. She also held the position of Technical Assistant in Imaging at the Department of Neuroimaging, NIMHANS, Bangalore, from May 2017 to August 2018, contributing to the Indo-UK project cVEDA, focusing on fMRI data acquisition and analysis. ​Idia Labs+1Google Scholar+1

Research Interests 🔬

Dr. Safai’s research interests lie at the intersection of neuroimaging and artificial intelligence. She specializes in multimodal MRI analysis, aiming to integrate various imaging modalities to provide a comprehensive understanding of brain structure and function. Her work in deep learning in medical imaging seeks to develop algorithms that can assist in the early detection and monitoring of neurological disorders such as Parkinson’s and Alzheimer’s diseases. By leveraging advanced computational techniques, Dr. Safai aims to uncover biomarkers and patterns that can lead to better diagnosis and treatment strategies for these conditions. ​

Awards 🏆

Dr. Safai’s contributions to neuroimaging and medical imaging have been recognized through several prestigious awards. She received the Alzheimer’s Association Research Fellowship to Promote Diversity (AARF-D) grant for 2025–2027, supporting her project titled “Multimodal AI-based Predictor of Alzheimer’s Disease (MAP-AD).” In 2020, she was awarded the ISMRM student research exchange grant for her proposal on high temporal resolution fMRI acquisition and advanced analysis for identifying reliable imaging markers for Parkinson’s disease. Additionally, she received a travel grant from the Movement Disorder Society for the MDS Conference in 2019 and an educational stipend from ISMRM for the same year’s conference, highlighting her active engagement and recognition in the scientific community. ​

Top Noted Publications 📚

  • Microstructural abnormalities of substantia nigra in Parkinson’s disease: A neuromelanin sensitive MRI atlas-based study

    • Year: 2020

    • Journal: Human Brain Mapping

    • Citations: 35 (PubMed)

    • Summary: This study investigates microstructural changes in the substantia nigra of Parkinson’s disease patients using neuromelanin-sensitive MRI, providing an atlas-based approach for assessing disease-related abnormalities.

  • Multimodal brain connectomics-based prediction of Parkinson’s disease using graph attention networks

    • Year: 2022

    • Journal: Frontiers in Neuroscience

    • Citations: 16 (Google Scholar)

    • Summary: The research utilizes graph attention networks (GATs) to analyze multimodal brain connectomics data for predicting Parkinson’s disease, demonstrating the effectiveness of deep learning in neurological disorder classification.

  • Disrupted structural connectome and neurocognitive functions in Duchenne muscular dystrophy: classifying and subtyping based on Dp140 dystrophin isoform

    • Year: 2022

    • Journal: Journal of Neurology

    • Citations: 11 (Loop)

    • Summary: This study explores the relationship between structural brain connectivity disruptions and neurocognitive deficits in Duchenne muscular dystrophy, with a focus on the Dp140 dystrophin isoform for patient subtyping.

  • Developing a radiomics signature for supratentorial extra-ventricular ependymoma using multimodal MR imaging

    • Year: 2021

    • Journal: Frontiers in Neurology

    • Citations: 5 (Google Scholar)

    • Summary: The research develops a radiomics-based approach using multimodal MRI to characterize supratentorial extra-ventricular ependymoma, enhancing tumor classification and diagnosis.

  • Quantifying Geographic Atrophy in Age-Related Macular Degeneration: A Comparative Analysis Across 12 Deep Learning Models

    • Year: 2024

    • Journal: Investigative Ophthalmology & Visual Science

    • Summary: This study compares the performance of 12 deep learning models in quantifying geographic atrophy in age-related macular degeneration, assessing their accuracy and reliability for clinical applications.

Conclusion

Apoorva Safai is a highly qualified candidate for the Best Researcher Award based on her strong academic background, impactful research, prestigious grants, and leadership in medical imaging and deep learning. Addressing minor improvements in authorship and funding scale would further elevate her profile. Overall, she is an excellent contender for the award.

Kiyohisa KAMIMURA | Neuroscience | Best Researcher Award

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Assoc. Prof. Dr. Kiyohisa KAMIMURA | Neuroscience | Best Researcher Award

Assoc. Prof. Dr. Kiyohisa KAMIMURA, Kagoshima University Graduate School of Medical and Dental Sciences, Japan

Dr. Kiyohisa Kamimura is a renowned radiologist and Specially Appointed Associate Professor at the Department of Advanced Radiological Imaging, Kagoshima University, Japan. He holds an M.D. and Ph.D. from Kagoshima University, with over two decades of experience in radiology, including leadership roles such as Chief Radiologist at Kirishima Medical Center. Dr. Kamimura is a board-certified member of multiple prestigious radiology societies, specializing in advanced imaging techniques. His active research collaborations with Shin Nippon Biomedical Laboratories (SNBL) highlight his commitment to medical innovation. He is recognized for his expertise in neuroradiology and magnetic resonance imaging. 🌟📡

 

Publication Profile

Orcid

Education Journey

Dr. Kiyohisa Kamimura pursued his extensive medical education at Kagoshima University, Japan. He began with a premedical program (1992–1994) before advancing to an undergraduate degree in medicine (1994–1998). He further honed his expertise by completing an M.D. and Ph.D. at Kagoshima University Graduate School of Medical and Dental Science (2000–2008). His academic journey reflects a steadfast dedication to medical excellence and radiological research, laying the foundation for his impactful career in advanced imaging and radiology. 🩺📖

 

Professional Experience

Dr. Kiyohisa Kamimura has an illustrious career in radiology spanning over two decades. Starting at Kagoshima University Medical and Dental Hospital (1998–2000), he worked at several esteemed institutions, including Kagoshima Prefectural Oshima Hospital and Nanpuh Hospital. He served as Chief Radiologist at Kirishima Medical Center (2013–2014) and Assistant Professor at Kagoshima University (2014–2023). Currently, he is a Specially Appointed Associate Professor in the Department of Advanced Radiological Imaging at Kagoshima University. His roles demonstrate expertise in radiology and a commitment to advancing medical imaging technologies. 🌟📡

 

Research Focus

Dr. Kiyohisa Kamimura specializes in advanced radiological imaging, with a focus on brain and tumor imaging. His research includes time-dependent MRI diffusion for differentiating pituitary tumors, glioblastomas, brain metastases, and primary CNS lymphomas. He also explores MR amide proton transfer imaging and dynamic contrast-enhanced MRI for tumor evaluation. Dr. Kamimura’s work contributes significantly to neuroimaging, oncology diagnostics, and imaging biomarkers. His expertise extends to pancreatic ductal adenocarcinoma imaging and intravoxel incoherent motion studies in the pituitary gland, advancing precision diagnostics and treatment planning. 🌟🩺📈

 

Publication Top Notes 📚

 

  • Time‐dependent MR diffusion analysis of functioning and nonfunctioning pituitary adenomas/pituitary neuroendocrine tumors (2025) – DOI: 10.1111/jon.13254 🧠📅
  • Differentiating primary CNS lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient (2023) – DOI: 10.1186/s40644-023-00639-7 🧠📈
  • Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI (2023) – DOI: 10.1186/s40644-023-00595-2 🧠🔍
  • Differentiation of hemangioblastoma from brain metastasis using MR amide proton transfer imaging (2022) – DOI: 10.1111/jon.13019 🩻🔬
  • Consistency of Pituitary Adenoma: Prediction by Pharmacokinetic Dynamic Contrast-Enhanced MRI (2021) – DOI: 10.3390/cancers13153914 🧠⚡
  • Visual enhancement pattern during the delayed phase of enhanced CT as a prognostic factor in stage IV pancreatic ductal adenocarcinoma (2020) – DOI: 10.1016/j.pan.2020.07.009 🩺✨
  • Large Intraosseous Schwannoma in Petrous Apex Presenting with Intratumoral Hemorrhage (2019) – DOI: 10.1016/j.wneu.2019.07.179 🦴🩹
  • Amide proton transfer imaging of tumors: theory, clinical applications, pitfalls, and future directions (2019) – DOI: 10.1007/s11604-018-0787-3 🔍💡
  • Intravoxel Incoherent Motion in Normal Pituitary Gland: Initial Study with Turbo Spin-Echo Diffusion-Weighted Imaging (2016) – DOI: 10.3174/ajnr.A4930 🧠🌀
  • Contrast-enhanced CT and diffusion-weighted MR imaging as prognostic factors in pancreatic ductal adenocarcinoma (2014) – DOI: 10.1016/j.ejrad.2013.12.016 🩻📊

 

Aqsa Munir | Neuroscience | Best Researcher Award

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Ms. Aqsa Munir | Neuroscience | Best Researcher Award

Student,  Dow Medical College,  Pakistan

Aqsa Munir, a 5th-year MBBS student at Dow Medical College, showcases an exceptional blend of clinical exposure and research experience, making her a strong candidate for the Research for Best Researcher Award. Her diverse clinical electives in leading institutions like Aga Khan University Hospital, NICVD, and the Trauma Centre have equipped her with hands-on medical experience. Moreover, her contribution to various research projects, including systematic reviews, meta-analyses, and clinical audits, further highlights her academic commitment and research acumen.

Publication Profile

Orcid

Educational Background

Aqsa Munir is currently a 5th-year MBBS student at Dow Medical College, expected to graduate in 2025. She completed her high school education with a Pre-Medical focus at PECHS Government College in 2019. Aqsa has gained valuable hands-on experience through electives in renowned institutions, including Aga Khan University Hospital, where she worked in obstetrics and gynecology, and the Trauma Centre, specializing in vascular surgery. Additionally, her tenure at the National Institute of Cardiovascular Diseases allowed her to deepen her understanding of cardiology, enhancing her clinical skills and patient care capabilities.

Professional Experience

Aqsa’s clinical experience spans several critical areas of medicine, including obstetrics and gynecology, vascular surgery, and cardiology. Through her elective placements, she has gained significant exposure to surgical procedures, patient care, and clinical diagnostics. Her role in conducting patient assessments, assisting in surgeries, and participating in comprehensive post-operative care reflects her dedication and practical medical knowledge. This strong foundation in clinical medicine is complemented by her compassion for patients and a keen eye for detail.

Research Contributions

Aqsa’s research portfolio stands out, with multiple contributions to high-impact areas like cardiovascular disease prevention, telemedicine, and statin therapy. Her involvement in conducting systematic reviews and meta-analyses demonstrates her strong analytical skills and her ability to handle complex data. The projects she has worked on, such as the safety and efficacy of cardiovascular therapies and telemedical strategies, are both timely and relevant, showcasing her commitment to advancing medical science. Her work has already been recognized through international conference presentations and awards, marking her as a promising researcher.

Recognition and Awards

Aqsa has been acknowledged for her contributions through several awards and recognitions, including first prize at the 3rd Internal Medicine Conference at Aga Khan University Hospital. She has also received certifications from the Research Council of Pakistan and letters of recommendation from leading institutions. These accolades reflect her dedication, skill, and leadership in both clinical practice and research.

Conclusion

In conclusion, Aqsa Munir is a highly qualified candidate for the Research for Best Researcher Award. Her blend of clinical experience, research achievements, and recognition from prestigious institutions illustrates her potential to make significant contributions to the field of medicine. She demonstrates a strong commitment to advancing healthcare through both her practical medical work and her research, making her a deserving recipient of this award.

Publication Top Notes

  • Title: Telemedical Strategies for Improving Systolic Blood Pressure Control in Secondary Prevention of Cerebrovascular Events – A Systematic Review and Meta-Analysis
  • Authors: Aqsa Munir, Hanzala Ahmed Farooqi, Rayyan Nabi, Ummulkiram Hasnain, Marium Khan
  • Year: 2024
  • Journal: Journal of Stroke and Cerebrovascular Diseases

Aqsa Munir | Neuroscience | Best Researcher Award

Published on by Global Academic Awards

Ms.Aqsa Munir | Neuroscience | Best Researcher Award

Student, Dow Medical College,  Pakistan

Aqsa Munir, a 5th-year MBBS student at Dow Medical College, showcases an exceptional blend of clinical exposure and research experience, making her a strong candidate for the Research for Best Researcher Award. Her diverse clinical electives in leading institutions like Aga Khan University Hospital, NICVD, and the Trauma Centre have equipped her with hands-on medical experience. Moreover, her contribution to various research projects, including systematic reviews, meta-analyses, and clinical audits, further highlights her academic commitment and research acumen.

Publication Profile

Orcid

Educational Background

Aqsa Munir is currently pursuing her Bachelor of Medicine, Bachelor of Surgery (MBBS) degree at Dow Medical College, with an expected qualification in 2025. She completed her high school education in the Pre-Medical stream from PECHS Government College, graduating in 2019. Throughout her academic journey, Aqsa has excelled in both theoretical and practical aspects of medical science, which has built a strong foundation for her future career in clinical medicine and research. Her education has equipped her with the skills necessary to advance in the medical field.

Professional Experience

Aqsa Munir has gained diverse clinical experience through elective placements in prestigious institutions. At Aga Khan University Hospital, she worked closely with OB/GYN consultants, assisting in Caesarean sections, patient assessments, and antenatal care. During her elective at the Trauma Centre, she participated in vascular surgeries, gaining hands-on experience with bypass grafting and aneurysm repairs. At NICVD, she assessed cardiovascular patients, managed emergencies, and interpreted ECGs. These experiences have equipped her with practical skills in surgical techniques, patient care, and clinical diagnostics, laying a strong foundation for her future medical career.

Research Contributions

Aqsa’s research portfolio stands out, with multiple contributions to high-impact areas like cardiovascular disease prevention, telemedicine, and statin therapy. Her involvement in conducting systematic reviews and meta-analyses demonstrates her strong analytical skills and her ability to handle complex data. The projects she has worked on, such as the safety and efficacy of cardiovascular therapies and telemedical strategies, are both timely and relevant, showcasing her commitment to advancing medical science. Her work has already been recognized through international conference presentations and awards, marking her as a promising researcher.

Recognition and Awards

Aqsa has been acknowledged for her contributions through several awards and recognitions, including first prize at the 3rd Internal Medicine Conference at Aga Khan University Hospital. She has also received certifications from the Research Council of Pakistan and letters of recommendation from leading institutions. These accolades reflect her dedication, skill, and leadership in both clinical practice and research.

Conclusion

Aqsa Munir is a highly qualified candidate for the Research for Best Researcher Award. Her blend of clinical experience, research achievements, and recognition from prestigious institutions illustrates her potential to make significant contributions to the field of medicine. She demonstrates a strong commitment to advancing healthcare through both her practical medical work and her research, making her a deserving recipient of this award.

Publication Top Notes

📝 Telemedical strategies for improving systolic blood pressure control in secondary prevention of cerebrovascular events – A systematic review and meta-analysis | Journal of Stroke and Cerebrovascular Diseases | Published: 2024 | DOI: 10.1016/j.jstrokecerebrovasdis.2024.108046 | Contributors: Aqsa Munir, Hanzala Ahmed Farooqi, Rayyan Nabi, Ummulkiram Hasnain, Marium Khan | Cited by: (awaiting citation data)

Hai-Long Zhang | Neuroscience | Best Researcher Award

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Hai-Long Zhang | Neuroscience | Best Researcher Award

Dr Hai-Long Zhang, The Fourth Affiliated Hospital of Soochow University ,China

🎓 With a keen focus on electrical engineering, Hai-Long Zhang pursued their academic journey with zeal and dedication. Graduating with a Master’s degree from Tianjin Chengjian University in Building Electrical and Intelligent systems in 2021, they laid a strong foundation for their career. Prior to that, they completed their Bachelor’s degree at Shanghai University of Electric Power in Power System and Automation. This diverse educational background equipped them with a comprehensive understanding of both theoretical concepts and practical applications in the field. Now, armed with knowledge and innovation, they are poised to make significant contributions to the realm of electrical engineering.

Publication Profile

orcid

google scholar

Education

🎓 Embarking on a journey of academic excellence, Hai-Long Zhang began their pursuit of knowledge at Tsinghua University in Beijing, China. Graduating with a Bachelor of Science in Chemical Engineering in 2013, they laid the groundwork for their future endeavors. Undeterred by challenges, they continued their scholarly pursuits, delving deeper into the intricacies of their field. In 2018, [Person’s Name] achieved the pinnacle of academic success, earning a Ph.D. in Chemical Engineering from Tsinghua University. Their years of dedication and hard work have equipped them with a profound understanding of chemical processes and a passion for innovation in their field.

 

Professional Experience

👩‍🏫 Building upon their academic achievements, [Person’s Name] transitioned seamlessly into the realm of academia, serving as an Associate Professor at the School of Food Science and Engineering, South China University of Technology, Guangzhou, China since 2021. Prior to this, they honed their expertise as a Postdoctoral Fellow at the same institution from 2018 to 2021. In both roles, [Person’s Name] has demonstrated a commitment to advancing knowledge in the field of food science and engineering. Their contributions have not only enriched the academic community but also paved the way for innovative solutions to challenges in the food industry.

Research Focus

Dr. Hai-Long Zhang focuses on neuroscience research, particularly in understanding the molecular and cellular mechanisms underlying synaptic plasticity, memory, and pain. 🧠 His work includes studying the roles of astrocytes, glutamatergic circuits, and various proteins such as calmodulin and steroid receptor coactivators in brain function and behavior. 🔬 Dr. Zhang’s research spans from exploring pain processing pathways to investigating the genetic factors contributing to neurological disorders like Alzheimer’s disease and schizophrenia. 🌟 His significant contributions aim to unravel the complexities of brain function and develop therapeutic strategies for neurological conditions. 💡

 

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Publication top Notes