Leticia Peris | Neuroscience | Best Researcher Award

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Dr. Leticia Peris | Neuroscience | Best Researcher Award 

Inserm researcher | Grenoble Institut of Neurosciences | France

Dr. Leticia Peris is a distinguished neuroscientist and cell biologist whose research focuses on uncovering the molecular mechanisms that regulate the neuronal cytoskeleton and its dysfunction in neurodegenerative diseases. She serves as an Inserm Research Scientist at the Grenoble Institute of Neurosciences (UGA–INSERM U1216, France), where her work has significantly advanced the understanding of tubulin post-translational modifications and their role in neuronal morphogenesis, synaptic integrity, and neurodegeneration. Dr. Peris made pioneering contributions by identifying the tubulin carboxypeptidases VASH1/2–SVBP complex and elucidating their importance in neuronal organization and neurodevelopmental disorders. Her research further demonstrated how dysregulated tubulin modifications contribute to synaptic degeneration in Alzheimer’s disease and revealed new mechanisms of L-Dopa–induced synaptotoxicity in Parkinson’s disease. With an extensive record of publications in high-impact journals, international collaborations, and innovative patents, her work bridges fundamental neuroscience and translational medicine. She actively collaborates with leading researchers across France, Argentina, Germany, and the United States, including teams at Columbia University, Boston Children’s Hospital, and Humboldt University. A member of several international scientific societies and editorial boards, Dr. Peris is also deeply engaged in ethical and ecological initiatives promoting responsible and sustainable scientific practices. Her ongoing projects aim to rejuvenate neuronal cytoskeleton function as a therapeutic strategy against neurodegeneration, making her a leading voice in cellular neurobiology and a key contributor to the global fight against Alzheimer’s and Parkinson’s diseases. She has 2741 citations from 36 documents with an h-index of 24.

Profiles:  Scopus | ORCID

Publications

1. Zorgniotti, A., Sharma, A., Ramirez-Rios, S., Sanyal, C., Aleman, M., Ditamo, Y., Moutin, M. J., Bisig, C. G., & Peris, L. (2024). L-Dopa incorporation into tubulin alters microtubule dynamics and reduces dendritic spine invasion and synapse maintenance [Preprint].

2. Konietzny, A., Han, Y., Popp, Y., van Bommel, B., Sharma, A., Delagrange, P., Arbez, N., Moutin, M. J., Peris, L., & Mikhaylova, M. (2024). Efficient axonal transport of endolysosomes relies on the balanced ratio of microtubule tyrosination and detyrosination. Journal of Cell Science.

3. Konietzny, A., Peris, L., Han, Y., Popp, Y., van Bommel, B., Sharma, A., Delagrange, P., Arbez, N., Moutin, M. J., & Mikhaylova, M. (2023). Efficient axonal trafficking of endolysosomes depends on the balanced ratio of microtubule tyrosination and detyrosination [Preprint].

4. Peris, L. (2022). Crosstalk between acetylation and the tyrosination/detyrosination cycle of α-tubulin in Alzheimer’s disease. Frontiers in Cell and Developmental Biology.

5. Peris, L. (2022). Tubulin tyrosination regulates synaptic function and is disrupted in Alzheimer’s disease. Brain: A Journal of Neurology.

Dr. Leticia Peris’s research advances global neuroscience by uncovering cellular mechanisms that drive neurodegenerative diseases, paving the way for innovative therapeutic strategies. Her work bridges fundamental biology and translational medicine, contributing to improved brain health and societal well-being worldwide.

Premalatha S | Neuroscience | Best Researcher Award

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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.