Alireza Khanteymoori | Artificial Intelligence | Editorial Board Member

Dr. Alireza Khanteymoori | Artificial Intelligence | Editorial Board Member 

University of Freiburg | Germany

Dr. Alireza Khanteymoori is a distinguished scientific researcher and lecturer at the University of Freiburg, recognized for his extensive contributions at the intersection of artificial intelligence, neuroscience, and bioinformatics. With more than 15 years of academic and research leadership, he has conceived, directed, and supervised numerous high-impact projects spanning brain world models, cognitive neuroscience, diffusion tensor imaging, brain network analysis, and machine learning applications in life sciences. His professional portfolio includes leading a Machine Learning and Bioinformatics Laboratory, mentoring 5 Ph.D. candidates and over 30 master’s and bachelor’s theses, and developing advanced deep learning and probabilistic graphical models for genomics, neuroimaging, drug discovery, and single-cell data analysis. Dr. Khanteymoori has produced an impressive body of scientific work, reflected in 44 documents, 563 citations, and an h-index of 11, demonstrating the global impact and reach of his research. His strong technical expertise spans Python, R, MATLAB, TensorFlow, PyTorch, Keras, OpenCV, and scikit-learn, complemented by hands-on experience designing machine learning pipelines within platforms such as Galaxy. Beyond academia, he has held executive and technical leadership positions, contributing to industrial innovation in e-payment systems and intelligent software solutions. His academic service includes reviewing for major scientific journals, organizing specialized workshops in machine learning and meta-analysis, and delivering graduate-level courses in AI, bioinformatics, and data-driven life sciences. Awarded multiple distinctions, he continues to advance interdisciplinary research that bridges computation and biology, driving impactful solutions to complex scientific and medical challenges.

Profile: Scopus 

Featured Publications 

Khanteymoori, A. (n.d.). Advancing CRISPR with deep learning: A comprehensive review of models and databases.

Khanteymoori, A. (2025). Topological biomarkers of Alzheimer’s disease from functional brain network analysis. Current Alzheimer Research.

Khanteymoori, A. (2024). DTMP-prime: A deep transformer-based model for predicting prime editing efficiency and PegRNA activity. Molecular Therapy – Nucleic Acids.

Khanteymoori, A. (2024). StructmRNA: A BERT-based model with dual-level and conditional masking for mRNA representation. Scientific Reports.