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.

Luca Faes | Computational neuroscience | Best Researcher Award

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Prof. Luca Faes | Computational neuroscience | Best Researcher Award

Professor, University of Palermo, Italy

Prof. Luca Faes is a Full Professor at the Department of Engineering, University of Palermo, Italy. He earned his MSc in Electronic Engineering (1998) from the University of Padova and a PhD in Electronic Devices (2003) from the University of Trento. His research focuses on biomedical signal processing, information dynamics, and physiological networks. He has held positions at institutions such as the Bruno Kessler Foundation, University of Trento, and has been a visiting researcher in the USA, Belgium, and Brazil. A recipient of multiple awards, including the IEEE Senior Member recognition, Prof. Faes has been named among the World’s Top 2% Scientists by Stanford University. He actively contributes to academic programs, Erasmus+ initiatives, and editorial boards in biomedical engineering.

Publication Profile

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Education

Prof. Luca Faes earned his Master’s degree (Italian Laurea) in Electronic Engineering cum laude from the University of Padova, Italy, in 1998 ⚙️. He then pursued a PhD in Electronic Devices at the University of Trento, Italy, in 2003 🏅. His academic journey laid the foundation for his expertise in biomedical engineering, signal processing, and complex system analysis 📡. With a strong background in electronic systems and bioengineering applications, he has made significant contributions to research and academia, shaping the field of biomedical signal processing and physiological network dynamics 🔬📊.

Professional Experience

Prof. Luca Faes has had a distinguished career in biomedical engineering and bioinformatics. He began as a Research Fellow (1999-2000) at ITC-irst, Trento, followed by a PhD at the University of Trento (2000-2003) 🎓. He held postdoctoral positions (2003-2013) at Trento’s Biophysics and BIOtech labs 🧬. Later, he became a Researcher (2014-2017) at FBK and Professor at the University of Palermo (2018-present) 🏅. His global research collaborations span USA, Belgium, and Brazil 🌍. Recognized as an IEEE Senior Member (2019) and among the World’s Top 2% Scientists (2021-2022), he is an esteemed expert in bioengineering and complex systems ⚙️📊.

Academic Contributions

Prof. Luca Faes has played a pivotal role in academic development and international collaborations. He has been a Doctorate Committee Member at CiMeC, University of Trento (2016-2017) and later at Palermo’s ICT Department (2018-present) 📚. He co-organized the Biomedical Engineering Master’s Program and serves as Vice Coordinator & Tutor for the Bachelor’s Program 🎓. As an Erasmus+ Coordinator, he has fostered partnerships with universities across Europe 🌍. He also leads the Biomedical Information Technologies Curriculum (2021-present) and organizes seminars with global scholars, strengthening biomedical and cybernetics engineering education 📡📊.

Teaching Contributions

Prof. Luca Faes has been actively involved in teaching since 1999, starting as a Teaching Assistant in General Physics II and Signal & Image Processing at the University of Trento 🎓. He has delivered specialized courses internationally, including Brazil 🇧🇷 (2015), IEEE MOOC (2016), and Portugal 🇵🇹 (2017). Since 2018, he has been a Tenured Professor at the University of Palermo, teaching Sensors, Biomedical Devices, and Statistical Analysis of Biomedical Signals 📊. His expertise in biomedical signal processing and sensor technology continues to shape future engineers in cybernetics and biomedical fields 🤖🔬.

🧠 Research Focus

Prof. Luca Faes specializes in computational neuroscience, biomedical engineering, and physiological signal processing. His research focuses on brain-heart interactions ❤️🧠, nonlinear dynamics 🔄, entropy measures 📊, and causal inference in physiological systems. He applies Granger causality and transfer entropy to analyze cardiovascular variability, cerebrovascular function, and neural synchronization. His work contributes to wearable health technology ⌚, autonomic regulation studies, and physiological stress assessment ⚡. He collaborates on machine learning 🤖 and high-order statistical modeling for biomedical applications. His interdisciplinary approach bridges neuroscience, physics, and AI-driven healthcare solutions. 🌍✨

Publication Top Notes

📄 Measures and Models of Brain-Heart Interactions – IEEE Reviews in Biomedical Engineering, 2025  🧠❤️

📄 Chaotic Dynamics and Synchronization under Tripartite Couplings – Chaos, Solitons and Fractals, 2024  🔄⚡

📄 Comparison of Feature Selection Methods for Physiological Stress Classification – Physiological Measurement, 2024  📊📈

📄 Disentangling High-Order Effects in Transfer Entropy – Physical Review Research, 2024 | 3 citations 🔗📡

📄 Assessing Granger Causality in Cerebrovascular Variability – IEEE Transactions on Biomedical Engineering, 2024 | 2 citations 🏥🧠

📄 Entropy Rate Measures for Time Series Complexity – Biocybernetics and Biomedical Engineering, 2024 | 4 citations 🔢📉

📄 Wearable Ring-Shaped Biomedical Device for Physiological Monitoring – Biosensors, 2024 | 3 citations ⌚📡

📄 Describing Cerebral Autoregulation via State Space Methods – Conference Paper, 2024 🏥📈

📄 Decomposing Transfer Entropy in Cardiovascular Interactions – Conference Paper, 2024 ❤️📊

📄 Gender Differences in Cardiovascular Variability Entropy – Conference Paper, 2024  🚻🫀

 

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

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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 🩻📊

 

Philip Pavlovsky | Neuroscience | Young Scientist Award

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Mr. Philip Pavlovsky | Neuroscience | Young Scientist Award

Mr. Philip Pavlovsky, N.N.Semenov Federal research center for chemical physics, Russia

Philip Pavlovsky is a PhD student with an impressive academic and research background in neurobiology, particularly focusing on electrophysiological studies. His experience spans across international research institutions, where he has contributed to studies on neurodegenerative disorders and human electrophysiology. His curiosity and collaboration skills make him a standout candidate for research awards.

 

Publication profile

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Scientific Interests

Philip’s interests include single-cell and multicellular activity, neurodegenerative disorders, and human electrophysiology. His research aligns closely with the innovative exploration of brain function, which is a crucial focus for the Research for Young Scientist Award.

 

Professional Experience

Philip’s work as a junior researcher in the Federal Research Center for Chemical Physics (RAS) highlights his expertise in pathological cellular activity in Parkinsonian patients. His international internships reflect a strong commitment to multidisciplinary research, enhancing his candidacy for the award.

Awards & Conference Participation

Philip has won several awards for his oral presentations and has been granted prestigious travel and training grants. His participation in global neuroscience conferences further establishes him as a promising young scientist.

Conclusion

Philip Pavlovsky’s extensive research background, international collaborations, and numerous accolades make him an ideal candidate for the Research for Young Scientist Award. His contributions to neurodegenerative disease research, particularly Parkinson’s disease, demonstrate significant potential for impactful future discoveries.

Lin Yuan | Neuroscience | Best Researcher Award

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Lin Yuan | Neuroscience | Best Researcher Award

Prof Dr Lin Yuan, Peking University Shenzhen Hospital, China

Prof. Dr. Lin Yuan: Evaluation for Best Researcher Award.

Publication profile

Scopus

Positions and Experience

Prof. Dr. Lin Yuan is currently a Professor at the Institute of Biomedical Sciences, Peking University Shenzhen Hospital, China (since March 2021). His previous roles include serving as an Associate Professor at the Systems Biomedicine Research Institute, Peking University, from 2015 to 2017. His academic journey is bolstered by his Ph.D. and M.Sc. in Biochemistry and Molecular Biology from the Chinese People’s Liberation Army Academy of Military Medical Sciences. Additionally, he has gained valuable research experience as a Postdoctoral Fellow at UT Southwestern Medical Center (2017-2020).

Research Grants and Projects

Prof. Yuan has been actively involved in prestigious research projects funded by the National Natural Science Foundation of China (NSFC). His notable projects include studying the tumor microenvironment’s role in breast cancer progression and drug resistance, as well as exploring the regulation of p53 in lipid metabolism. His work has also focused on deubiquitinases for the tumor suppressor PTEN and its protein stability, highlighting his commitment to understanding tumorigenesis mechanisms.

Awards and Honors

Prof. Yuan’s research excellence has been recognized through various accolades. Noteworthy among these are the Outstanding Scientific Research Award from UT Southwestern Medical Center in 2020 and the First Prize of the Beijing Municipal Science and Technology Progress Award in 2017 for his research on protein homeostasis regulation. These honors underscore his contributions to advancing biomedical research.

Publications and Impact

Prof. Yuan’s research findings have been published in high-impact journals, showcasing his contributions to cancer biology, neurodegenerative diseases, and molecular biology. His work on mitochondrial regulation as a potential Alzheimer’s therapy, chemoresistance mechanisms in colorectal cancer, and neural stem cell differentiation through signaling pathways is evidence of his expertise and versatility. His publications have received citations, reflecting the academic and clinical relevance of his research.

Conclusion

Given his significant academic background, successful acquisition of competitive research grants, impactful publications, and prestigious awards, Prof. Dr. Lin Yuan is a strong candidate for the Best Researcher Award. His work not only advances scientific understanding but also contributes to developing innovative therapeutic approaches, particularly in oncology and neurobiology. Prof. Yuan’s commitment to excellence in research and his demonstrated ability to lead high-impact projects make him well-suited for recognition as a top researcher.

Publication top notes

Regulating Lars2 in mitochondria: A potential Alzheimer’s therapy by inhibiting tau phosphorylation

mTORC2-driven chromatin cGAS mediates chemoresistance through epigenetic reprogramming in colorectal cancer

Regulatory patterns analysis of transcription factor binding site clustered regions and identification of key genes in endometrial cancer

HIF-1α Affects the Neural Stem Cell Differentiation of Human Induced Pluripotent Stem Cells via MFN2-Mediated Wnt/β-Catenin Signaling

PPP2R1B is modulated by ubiquitination and is essential for spermatogenesis

Downregulated hsa_circ_0036988 promotes proliferation and metastasis in oral squamous cell carcinoma

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

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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

 

Ji Li | Neuroscience | Best Researcher Award

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Prof. Ji Li | Neuroscience | Best Researcher Award

Prof. Ji Li, University of Mississippi Med Center, United States

🎓 Prof. Ji Li is a distinguished educator and researcher with expertise spanning physiology, molecular medicine, and cell biology. With a Ph.D. from Lanzhou University and postdoctoral training at Yale University and the NIH, Prof. Li has held academic positions at renowned institutions including Yale University, University of Buffalo, and University of South Florida. Their contributions have been recognized with numerous awards, including the Gold level of Excellence in Research at the University of Mississippi Medical Center. Currently a Professor of Physiology at UMMC, Prof. Li continues to advance scientific knowledge in cardiovascular research. 🏥

Publication profile:

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Education and qualifications:

📚 Prof. Ji Li’s academic journey commenced at Lanzhou University, China, where they earned a Bachelor’s, Master’s, and Ph.D. in Biology, laying a solid foundation for their illustrious career. With a Bachelor of Science degree completed in 1989, Prof. Li pursued further studies culminating in a Master of Science in 1992 and a Doctorate in 1998. This extensive academic training equipped Prof. Li with a deep understanding of biological sciences, fostering their subsequent research endeavors and teaching pursuits. Their alma mater, Lanzhou University, remains an integral part of their academic identity, shaping their scholarly path and contributions to the field. 🎓

Employment:

🏫 Prof. Ji Li’s academic career has been marked by a diverse range of appointments at esteemed institutions worldwide. Beginning as an Instructor at Xiamen University’s Cancer Research Center in China, Prof. Li embarked on a journey that led them to pivotal roles at prominent universities and research centers. From their tenure as a Visiting Fellow at the National Institutes of Health to serving as an Associate Research Scientist at Yale University, Prof. Li’s trajectory reflects their commitment to advancing scientific knowledge. Presently, as a Professor of Physiology at the University of Mississippi Medical Center, Prof. Li continues to inspire and educate the next generation of scholars. 🌟

Awards & Honors:

🏆 Prof. Ji Li’s outstanding contributions to research have been recognized with a multitude of prestigious awards and honors. From receiving the Gold level of Excellence in Research at the University of Mississippi Medical Center to securing the 1st place Young Investigator Award at the South China International Congress of Cardiology, Prof. Li’s accolades underscore their exceptional achievements in cardiovascular science. Notable distinctions include the New Investigator Award and Travel Award from the University of Wyoming, along with Fellow status in the American Heart Association. These accolades, coupled with research excellence acknowledgments from esteemed institutions like the NIH, highlight Prof. Li’s significant impact on advancing medical knowledge. 🌟

Research Focus:

🔬 Prof. Ji Li’s research focuses on elucidating molecular mechanisms underlying cardiovascular health and disease. Their work spans various aspects, including investigating the role of Sestrin2 in mediating metformin’s effects on age-related cardiac dysfunction, targeting Nrf2/Sesn2 signaling to mitigate cardiac dysfunction in obesity, and exploring the interaction between mTOR and Nrf2 in neurogenesis and neurodegenerative diseases. Additionally, Prof. Li’s studies delve into the modulation of redox homeostasis during ischemia/reperfusion injury in the aging heart, as well as the cardioprotective signaling activity of activated protein C in heart failure and ischemic heart diseases. Their research contributes significantly to advancing understanding and potential treatments for cardiovascular conditions. 🧬

Publication Top Notes:

Sestrin2 Mediates Metformin Rescued the Age-Related Cardiac Dysfunctions of Cardiorenal Syndrome Type 3

Targeting on Nrf2/Sesn2 Signaling to Rescue Cardiac Dysfunction during High-Fat Diet-Induced Obesity

The Interaction of <i>mTOR</i> and <i>Nrf2</i> in Neurogenesis and Its Implication in Neurodegenerative Diseases

SIRT1/SIRT3 Modulates Redox Homeostasis during Ischemia/Reperfusion in the Aging Heart

The Cardioprotective Signaling Activity of Activated Protein C in Heart Failure and Ischemic Heart Diseases