Prof. Dr. Ayper Boga Pekmezekmek | Best Researcher Award

Prof. Dr. Ayper Boga Pekmezekmek | Best Researcher Award

Cukurova University | Turkey

Ayper Boğa Pekmezekmek is a distinguished academic and researcher at Çukurova University Faculty of Medicine, Turkey, specializing in physiology, toxicology, and developmental biology. With 3 published documents, 12 citations, and an h-index of 3, her scholarly work reflects a focused contribution to understanding physiological and biochemical mechanisms under environmental and pharmacological stress. She earned her education and research training in biomedical sciences, where she developed expertise in experimental physiology and toxicological studies involving model organisms. Her research primarily investigates the physiological effects of chemical agents on embryonic development and explores the protective biochemical pathways that mitigate these effects. Notably, her publication in Environmental Science and Pollution Research examined the role of L-glutamic acid monosodium salt in reducing lithium-induced developmental toxicity, marking a valuable contribution to environmental and medical toxicology. Through her teaching and research experience, she continues to promote scientific inquiry into the mechanisms of toxicity and protection in living systems. Her work demonstrates an ongoing commitment to improving environmental health and fostering translational research in physiology and toxicology, serving as an inspiration for advancing biomedical safety and sustainable health research

Profiles : Orcid | Scopus

Featured Publications

Boğa Pekmezekmek, A., Emre, M., Tunç, E., Kalay, B., Kocahan, S., Emre, N., & Emre, T. (2024). Exposure to high-molecular-weight polyvinyl chloride alters bacterial diversity in the gut microbiota of the Wistar rat. Rocznik Ochrona Środowiska, 26. https://doi.org/10.54740/ros.2024.038

Emre, M., Karamazi, Y., Emre, T., Avcı, Ç., Aydın, Ç., Ebrahimi, S., & Boğa Pekmezekmek, A. (2024). The effect of 6 GHz radiofrequency electromagnetic radiation on rat pain perception. Electromagnetic Biology and Medicine. https://doi.org/10.1080/15368378.2024.2331134

Müsüroğlu, S., Şahin, L., Kocahan, S., Annaç, E., Tiraşci, N., & Boğa Pekmezekmek, A. (2023). Effect of caffeine on hippocampal memory and levels of gene expression in social isolation stress. International Journal of Developmental Neuroscience. https://doi.org/10.1002/jdn.10292

Boğa Pekmezekmek, A., Emre, M., Erdoğan, Ş., Yılmaz, M. B., Tunç, E., Sertdemir, Y., & Emre, Y. (2022). Effects of high-molecular-weight polyvinyl chloride on Xenopus laevis adults and embryos: The mRNA expression profiles of Myf5, Esr1, Bmp4, Pax6, and Hsp70 genes during early embryonic development. Environmental Science and Pollution Research, 29, 14767–14779. https://doi.org/10.1007/s11356-021-16527-1

Kocahan, S., Akıllıoğlu, K., Şencar, L., Şahin, L., Çevik, Ö. S., Taşkın Güven, E., Güven, C., Boğa Pekmezekmek, A., & Polat, S. (2021). Living with female rats exposed to restraint stress during pregnancy caused depressive-like behavior in male rats and stress-induced apoptosis. International Journal of Developmental Neuroscience, 81(7), 643–654. https://doi.org/10.1002/jdn.10142

Assoc. Prof. Dr. Ateke Goshvarpour | Best Researcher Award

Assoc. Prof. Dr. Ateke Goshvarpour | Best Researcher Award

Imam Reza International University | Iran

Ateke Goshvarpour is a distinguished researcher at Imam Reza International University, renowned for her extensive contributions to biomedical signal processing, emotion recognition, and neurophysiological data analysis. With an impressive h-index of 20, over 1,093 citations, and 70 research publications, her work has significantly advanced the integration of computational intelligence and physiological signal modeling. She has co-authored several influential studies on electroencephalography (EEG), electrocardiography (ECG), photoplethysmography (PPG), and galvanic skin response (GSR) for emotion and mental disorder recognition. Dr. Goshvarpour earned her higher education in biomedical engineering and has accumulated years of academic and research experience focusing on nonlinear analysis, chaos theory, and machine learning applications in healthcare. Her recent works explore quantum-inspired models, graph-based EEG analysis, and spectral–spatiotemporal fusion for diagnosing schizophrenia and cognitive disorders. She has been recognized for developing innovative feature fusion techniques that enhance accuracy in automated emotion recognition and neurodiagnostic systems. Her publications in high-impact journals such as Cognitive Neurodynamics, Chaos, Solitons & Fractals, and Biomedical Signal Processing and Control underscore her leadership in the field. Through her pioneering research, she continues to shape the future of computational neuroscience and affective computing, bridging the gap between biomedical engineering and mental health diagnostics.

Profiles : Scopus | Google Scholar

Featured Publications

Goshvarpour, A., Abbasi, A., & Goshvarpour, A. (2017). An accurate emotion recognition system using ECG and GSR signals and matching pursuit method. Biomedical Journal, 40(6), 355–368. https://doi.org/10.1016/j.bj.2017.10.001

Goshvarpour, A., & Goshvarpour, A. (2019). EEG spectral powers and source localization in depressing, sad, and fun music videos focusing on gender differences. Cognitive Neurodynamics, 13(2), 161–173. https://doi.org/10.1007/s11571-018-9510-8

Goshvarpour, A., Abbasi, A., & Goshvarpour, A. (2017). Fusion of heart rate variability and pulse rate variability for emotion recognition using lagged Poincaré plots. Australasian Physical & Engineering Sciences in Medicine, 40(3), 617–629. https://doi.org/10.1007/s13246-017-0560-7

Goshvarpour, A., & Goshvarpour, A. (2020). Schizophrenia diagnosis using innovative EEG feature-level fusion schemes. Physical and Engineering Sciences in Medicine, 43(1), 227–238. https://doi.org/10.1007/s13246-019-00853-8

Goshvarpour, A., & Goshvarpour, A. (2018). Poincaré’s section analysis for PPG-based automatic emotion recognition. Chaos, Solitons & Fractals, 114, 400–407. https://doi.org/10.1016/j.chaos.2018.07.009