Shan Ping Yu | Neuroscience | Lifetime Achievement Award

Published on by Health Scientists

Prof. Dr. Shan Ping Yu | Neuroscience | Lifetime Achievement Award 

Endowed Full Professor | Emory University | United States

Shan Ping Yu is an internationally recognized neuroscientist and Endowed Full Professor at Emory University School of Medicine, known for pioneering research in excitotoxicity, neuroprotection, and neural regeneration. With extensive training spanning premier institutions in China and the United States, he has advanced fundamental understanding of neuronal injury mechanisms, focusing on ionic and molecular pathways involving voltage-gated and ligand-gated channels in apoptotic and necrotic cell death. His laboratory has led groundbreaking innovations including preconditioning strategies to enhance survival and reparative potential of transplanted stem cells, the development of optochemogenetics for precision control of cellular functions, direct reprogramming of glioblastoma cells into neurons as a transformative anti-cancer strategy, and elucidation of inflammatory mechanisms linking early-life pain to neurodevelopmental disturbances. His work has significantly contributed to novel interventions in ischemic stroke, traumatic brain injury, Alzheimer’s disease, and neuropsychiatric-related cognitive deficits. He has secured sustained funding from national research agencies and veterans’ research programs, and contributed as principal investigator or key collaborator on numerous basic, translational, and interventional neuroscience projects. His publication record in leading peer-reviewed journals, high citation impact, and invited presentations at global scientific forums underscore sustained scholarly excellence. He has held leadership roles in national and international committees, including service for major federal funding agencies, advancing scientific priorities and peer-review standards in neurological research. Beyond scientific discovery, he has demonstrated strong commitment to research training and workforce development, mentoring a large cohort of clinical, graduate, and postdoctoral scholars who have progressed to influential roles in academia and biomedicine. His contributions have been recognized through multiple competitive honors and inclusion in media outlets spotlighting high-impact scientific advances. Through integrated basic and translational neuroscience, Shan Ping Yu continues to drive innovations with profound implications for brain repair, neurodegenerative disease treatment, and improved quality of life for patients worldwide. He has 13686 citations from 194 documents with an h-index of 62.

Profiles: Google Scholar | Scopus | ORCID

Publications

1. Hu, X., Yu, S. P., Fraser, J. L., Lu, Z., Ogle, M. E., Wang, J. A., & Wei, L. (2008). Transplantation of hypoxia-preconditioned mesenchymal stem cells improves infarcted heart function via enhanced survival of implanted cells and angiogenesis. The Journal of Thoracic and Cardiovascular Surgery.

2. Yu, S. P., Yeh, C. H., Sensi, S. L., Gwag, B. J., Canzoniero, L. M. T., Farhangrazi, Z. S., et al. (1997). Mediation of neuronal apoptosis by enhancement of outward potassium current. Science.

3. Sensi, S. L., Canzoniero, L. M. T., Yu, S. P., Ying, H. S., Koh, J. Y., Kerchner, G. A., et al. (1997). Measurement of intracellular free zinc in living cortical neurons: Routes of entry. Journal of Neuroscience.

4. Dugan, L. L., Gabrielsen, J. K., Shan, P. Y., Lin, T. S., & Choi, D. W. (1996). Buckminsterfullerenol free radical scavengers reduce excitotoxic and apoptotic death of cultured cortical neurons. Neurobiology of Disease.

5. Zhang, Z., Song, M., Liu, X., Kang, S. S., Kwon, I. S., Duong, D. M., Seyfried, N. T., et al. (2014). Cleavage of tau by asparagine endopeptidase mediates the neurofibrillary pathology in Alzheimer’s disease. Nature Medicine,

Premalatha S | Neuroscience | Best Researcher Award

Published on by Health Scientists

Dr. Premalatha S | Neuroscience | Best Researcher Award 

Assistant Professor | Karpagam College of Engineering | India

Dr. S. Premalatha is currently serving as an Assistant Professor in the Science and Humanities Department at Karpagam College of Engineering, Coimbatore, Tamil Nadu, India. She completed her M.Phil. in Mathematics in 2016 at Bharathiar University, Coimbatore, and earned her Ph.D. in 2025 from the same institution, demonstrating a sustained commitment to advancing mathematical research. Her key research areas include Neural Networks, Differential Equations, and the theoretical and applied aspects of memristive inertial neural networks (MINNs), with a particular focus on stability, synchronization, dissipativity analyses, and reduced-order modeling of complex dynamical systems. Over the years, Dr. Premalatha has published six high-impact research articles in reputed SCI and Scopus-indexed journals, significantly contributing to the understanding of nonlinear neural network behaviors and secure communication frameworks. Her work has been cited widely, reflecting her growing influence in the field, with a citation index of 143. She is an active member of professional bodies such as ISTE, and her dedication to academic excellence has earned her nominations for awards including the Best Researcher Award, Women Research Award, Young Scientist Award, and Best Paper Award. While she has not yet held formal editorial roles, her publications have contributed to shaping contemporary research directions in neural network theory and applied mathematics, and she continues to mentor and inspire the next generation of engineers and mathematicians through her teaching and scholarly endeavors.

Profile: Google Scholar

Publications

1. Rakkiyappan, R., Premalatha, S., Chandrasekar, A., & Cao, J. (2016). Stability and synchronization analysis of inertial memristive neural networks with time delays.

2. Rajan, R., Gandhi, V., Soundharajan, P., & Joo, Y. H. (2020). Almost periodic dynamics of memristive inertial neural networks with mixed delays.

3. Premalatha, S., Santhosh Kumar, S., & Jayanthi, N. (2022). Results on periodicity of memristive inertial neural networks with mixed delays. International Conference on Data Analytics and Computing.

4. Premalatha, S. S. K., Shanmugapriya, M. M., & Jayanthi, N. (2025). Dissipativity analysis of memristive inertial neural networks with time-varying and distributed delay via reduced order strategy.

5. Premalatha, S. S. K., Indumathi, P., & Aarthi, D. (2025). LMI approach to dissipative of memristive inertial neural networks with time-varying and distributed delay. Advances in Nonlinear Variational Inequalities.