Seyedehzahra Paylakhi, PhD

Seyedehzahra Paylakhi, PhD headshot

Postdoctoral Scholar

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Dr. Seyedehzahra Paylakhi is a postdoctoral researcher specializing in data-driven approaches to human genetics, with a background in electrical engineering. Her research focuses on developing protein language model (PLM)-based tools to predict the functional impact of genetic variants, helping to uncover the biological mechanisms behind complex traits and diseases.

Publications

  1. D. Xing, T. Bai, O. Neyisci, S. Z. Paylakhi, A. J. Duval, Y. Tekin, and M.Adli. (2025). Systematic comparison and base-editing-mediated directed protein evolution and functional screening yield superior auxin-inducible degron technology. Nature communications 16, no. https://doi.org/10.1038/s41467-025-61848-1

  2. Paylakhi, S. Z., Pariz, N., Naghibi Sistani, M. B., & Javidi Dasht Bayaz, M. H. (2022). Cross backstepping sliding mode control using integral barrier Lyapunov function for cross‐strict feedback systems. IET Control Theory & Applications, 16(15), 1586–1600. https://doi.org/10.1049/cth2.12327 

  3. Paylakhi, S. Z., Pariz, N., Javidi Dasht Bayaz, M. H., & Naghibi Sistani, M. B. (2022). Distributed secondary control of islanded microgrids using modified integral backstepping technique. International Journal of Dynamics and Control, 10, 2011–2019. https://doi.org/10.1007/s40435-022-00917-5

  4. Jalalabadi, E., Paylakhi, S. Z., Rahimi-Kian, A., & Moshiri, B. (2021). Integral backstepping Lyapunov redesign control of uncertain nonlinear systems. Control Theory & Applications, 1(1), Article e12229. https://doi.org/10.1049/cth2.12229

  5. S. Z. Paylakhi, S. Ozgoli and S. H. Paylakhi. (2018). Introduction of GRAP Ggene as Alzheimer's disease candidate gene using microarray data analysis. Modares Journal of Biotechnology, 9, no. 2: 259-265. 

  6. S. Paylakhi, S. Z. Paylakhi, and S. Ozgoli (2016). Identification of Alzheimer disease-relevant genes using a novel hybrid method. Progress in Biological Sciences 6, no. 1: 37-46.