Saeed Aghebat Bekheir | Translational Research | Research Excellence Award

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Dr. Saeed Aghebat Bekheir | Mental Health | Research Excellence Award

PhD Candidate in Toxicology | Tehran University of Medical Sciences | Iran

Dr. Saeed Aghebat Bekheir is a dedicated researcher and PhD candidate in Toxicology at Tehran University of Medical Sciences, working under the mentorship of Prof. Abdollahi. His research focuses on mitochondrial toxicology, cardiotoxicity, and mechanistic modeling of toxin-induced bioenergetic failure, with a particular emphasis on developing therapeutic strategies for aluminum phosphide–induced mitochondrial dysfunction. Dr. Aghebat Bekheir has demonstrated expertise in a wide range of experimental approaches, including in vivo animal studies, cellular and molecular assays, and in vitro toxicological models, integrating mechanistic toxicology with translational research to address acute mitochondrial injury and cardiotoxicity. His scholarly contributions are reflected in several peer-reviewed publications in high-impact journals, and he actively serves as a reviewer for multiple journals in toxicology and biomedical sciences, highlighting his commitment to advancing scientific rigor and dissemination. Collaboratively, he engages in research partnerships within the toxicology and mitochondrial research community, fostering interdisciplinary approaches to environmental and translational toxicology challenges. His work contributes to a deeper understanding of oxidative stress, bioenergetic disturbances, and cardiotoxic mechanisms, with broader implications for public health and therapeutic innovation. Beyond his laboratory and scholarly pursuits, Dr. Aghebat Bekheir’s research emphasizes societal relevance by addressing environmental toxicants and their impacts on human health, providing foundational knowledge for developing interventions to mitigate toxicity-related diseases. Through his professional memberships, editorial activities, and collaborative initiatives, he actively contributes to shaping the global toxicology landscape, promoting evidence-based strategies, and inspiring emerging researchers in the field. His ongoing research underscores a commitment to integrating scientific excellence with practical solutions for human health, reflecting both scholarly distinction and societal impact. He has 23 citations from 5 documents with an h-index of 3.

Profiles: Google Scholar | Scopus

Featured Publications

1. Ghanati, K., Jahanbakhsh, M., Shakoori, A., Aghebat-Bekheir, S., … (2024). The association between polycystic ovary syndrome and environmental pollutants based on animal and human study; a systematic review.

2. Ghanati, K., Eghbaljoo, H., Akbari, N., Mazaheri, Y., Aghebat-Bekheir, S., … (2023). Determination of melamine contamination in milk with various packaging: A risk assessment study.

3. Aghebat-Bekheir, S., Abdollahi, M. (2024). Discovering the most impactful treatments for aluminum phosphide cardiotoxicity gleaned from systematic review of animal studies.

4. Reihani, A., Marboutian, F., Aghebat-Bekheir, S., Reyhani, A., Akhgari, M. (2024). Diagnostic aspects of paraquat in the forensic toxicology: A systematic review.

5. Aghebat-Bekheir, S., Hekmatirad, S., Asar, N., Abdollahi, M. (n.d.). Aluminum phosphide as a model for exploring acute mitochondrial disorders.

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

Featured 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.