Ms. Fatemeh Jalali | Artificial Intelligence – PhD Student at Ferdowsi university of Mashhad, Iran
Fatemeh Jalali is a highly skilled researcher and engineer with deep expertise in electrical engineering, specializing in signal processing, computer vision, and radar imaging technologies. She combines strong academic training with hands-on experience at the intersection of intelligent systems and hardware development. As a PhD candidate, she exemplifies innovative thinking, analytical problem-solving, and a passion for interdisciplinary research. Her academic journey across multiple institutions is marked by advanced research in image analysis and object tracking, reflecting a solid foundation in both theory and application. Fatemeh’s work stands out for its technical depth, commitment to innovation, and her ongoing dedication to learning and growth—qualities that make her a standout contributor in the engineering and technology community.
This individual is a multidisciplinary researcher with a strong foundation in electrical engineering and computer science. Their work bridges theoretical innovation and practical application, contributing to advancements across several high-impact technical domains. Known for a collaborative and forward-thinking approach, they continue to drive progress in cutting-edge research areas.
Profile:
📚 Selected Publications
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F. Siar, S. Alirezazadeh, F. Jalali (2018). A novel steganography approach based on ant colony optimization. In 6th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS), pp. 215–219.
➤ Citations: 6
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F. Jalali, A. Ebrahimi (2017). A novel mixed approach for detecting overlap in document images. In Iranian Conference on Electrical Engineering (ICEE), pp. 1701–1707.
➤ Citations: 2
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F. Jalali, M. Khademi, A.E. Moghadam, H.S. Yazdi (2025). Robust Scene Aware Multi-Object Tracking for Surveillance Videos. Neurocomputing, Article ID: 130114.
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F. Jalali, A. Ebrahimi, S. Alirezazadeh (2017). Optimizing text detachment from the document image using block-based segmentation and wavelet transform. In 4th IEEE International Conference on Knowledge-Based Engineering and Innovation (KBEI), 2017.
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F. Jalali, A. Ebrahimi, S. Alirezazadeh (2017). Word prediction from fMRI data based on C-SVC and a series classifier. In 7th International Conference on Computer and Knowledge Engineering (ICCKE), 2017.
Conclusion:
In summary, Fatemeh Jalali is a forward-thinking engineer and researcher whose work bridges the gap between theory and practical innovation. Her achievements in academia and industry—particularly in signal processing, radar imaging, and AI applications—underscore her commitment to solving complex engineering problems. Her broad skillset, combined with her leadership in technical product development, makes her a valuable asset to any institution or initiative focused on technological advancement. Fatemeh’s journey is a testament to dedication, interdisciplinary collaboration, and a continuous pursuit of excellence.