javad Fahanik babaei | Neuroscience | Best Researcher Award

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Dr. javad Fahanik babaei | Neuroscience | Best Researcher Award

Faculty member | Tehran University of Medical Sciences | Iran

Dr. Javad Fahanik Babaei is an accomplished Iranian physiologist currently affiliated with the Iran University of Medical Sciences in Tehran, Iran. He earned his Ph.D. in Physiology by research from the same institution in 2018, following an M.Sc. in Developmental Biology (2005) and a B.Sc. in Botany (2003). His extensive research focuses on neurophysiology, electrophysiology, mitochondrial bioenergetics, neurodegeneration, and the pathophysiological mechanisms underlying Alzheimer’s disease and epilepsy. Dr. Babaei has contributed significantly to the understanding of ion channels, synaptic plasticity, and mitochondrial function, with over 40 peer-reviewed publications in prestigious journals such as Biochimica et Biophysica Acta (BBA), Metabolic Brain Disease, Neurophysiology, Journal of Chemical Neuroanatomy, and Scientific Reports. His studies on the electrophysiological and biochemical effects of compounds like trigonelline, apigenin, and riluzole in experimental models of neurodegenerative and epileptic disorders have been widely recognized. Beyond research, he has served as a referee for the Basic and Clinical Neuroscience Journal (2017–2019) and has been a committee member for national physiology and neuroscience congresses in Iran. Dr. Babaei has also contributed to academia as a translator of several foundational physiology and histology textbooks, including Bern and Levy Physiology. His distinguished work in neuroscience and physiology has positioned him as a key contributor to advancing experimental neurobiology in Iran, particularly in the areas of mitochondrial physiology, electrophysiological methodologies, and translational neuroscience research. He has 627 citations from 66 documents with an h-index of 13.

Profiles: Google Scholar | Scopus | ORCID

Publications

1. Erratum to “Cognitive impairments induced by repeated sevoflurane exposure during pre-adolescence in adult male and female rats: Involvement of biochemical, histological and neuroplasticity approaches.” (2023). Journal of Cellular and Molecular Anesthesia.

2. Sex-specific behavioral impairments and neuronal alterations in Wistar rats following repeated sevoflurane exposure during developmental stages. (2025). Neurological Research.

3. Protective effects of licofelone on scopolamine-induced spatial learning and memory impairment by enhancing parkin-dependent mitophagy and promotion of neural regeneration in adult mice. (2024). European Journal of Pharmacology.

4. 40 Hz light preserves synaptic plasticity and mitochondrial function in Alzheimer’s disease model. (2024). Scientific Reports.

5. Fasudil attenuates lipopolysaccharide-induced cognitive impairment in C57BL/6 mice through anti-oxidative and anti-inflammatory effects: Possible role of aquaporin-4. (2024). IBRO Neuroscience Reports.

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.