Syeda Narjis Fatima • USC Profiles

Syeda Narjis Fatima, PhD

Title(s)	Assistant Professor of Research Radiation Oncology
School	Keck School of Medicine of Usc
Address	1441 Eastlake Ave. Health Sciences Campus Los Angeles CA 90033
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Biography

Education and Training

KOC UNIVERSITY, ISTANBUL, TURKEY	PHD	06/2020	ELECTRICAL AND ELECTRONICS ENGINEERING
NORTHWESTERN POLYTECHNICAL UNIVERSITY, XIAN, CHINA	MS	12/2010	COMMUNICATION AND INFORMATION SYSTEMS

Overview

Dr. Syeda Narjis Fatima is a Research Assistant Professor in the Department of Radiation Oncology at the Keck School of Medicine, University of Southern California (USC). She earned her PhD in Electrical and Computer Engineering, focusing on intelligent human-computer interactions using deep learning. Her research addresses challenges such as Continuous Emotion Recognition (CER) in Dyadic Interactions.

Since joining USC in May 2023, Dr. Fatima has been establishing her independent research program, supported by USC funding. Her work spans AI for Health (AI4Health) and medical sensor research, in collaboration with USC Viterbi School of Engineering and the USC Information Science Institute (ISI). Her clinical research focuses on developing precision medicine tools, including deep learning methods for MR/CT synthesis to improve cancer detection, radiation therapy, and patient outcomes. Dr. Fatima also serves as a reviewer for several major IEEE journals and conferences.

Interests

Application of Machine Learning to Brain Cancer, Medical Image Synthesis, MR-CT Translation and Crossmodal Generation, Intergrated Imaging Solutions for Improved Radiation Therapy and Treatment Planning Systems

Bibliographic

Publications

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help. to make corrections and additions.

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S. N. Fatima, E. Erzin, “Cross-Subject Continuous Emotion Recognition Using Speech and BodyMotion in Dyadic Interactions,” in Interspeech, pp. 1731-1735, 2017.
S. N. Fatima, E. Erzin, ”Use of Affect Context in Dyadic Interactions for Continuous Emotion Recognition,” Speech Communication, vol. 132, pp.70-82, 2021.
S. N. Fatima, E. Erzin, “Acoustic Feature Selection for Natural Dialog Identification,” in 3rd International Workshop on Affective Social Multimedia Computing (ASMMC), Interspeech Workshop, 2017.
S. N. Fatima, E. Erzin, “Use of non-verbal vocalizations for continuous emotion recognition from speech and head motion,” in 14th IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 433-437, 2019.
N. A. Abbasi, S. N. Fatima, Y. Fan, "Multiple description based distributive compression for hyperspectral images," in 2010 International Conference on Future Information Technology and Management Engineering, vol. 2, pp. 352-355, 2010, IEEE.
M. He, H. Chen, X. Li, S. N. Fatima, "Multi-focus image fusion by progressive pixel extraction," in 2011 6th IEEE Conference on Industrial Electronics and Applications, pp. 1731-1735, 2011, IEEE.
M. He, L. Bai, S. N. Fatima, "Hyperspectral image compression algorithm using wavelet transform and independent component analysis," Satellite Data Compression, Communications, and Processing VI, vol. 7810, pp. 41-47, 2010, SPIE.
S. N. Fatima, N. A. Abbasi, "Distributive segmented PCA: A novel approach to hyperspectral image compression," in 2012 International Conference on Systems and Informatics (ICSAI2012), pp. 2098-2102, 2012, IEEE.
S. N. Fatima, L. Ma, and E. Chang, “Contour-driven attention mechanisms for improved cross-modal image synthesis in brain cancer: A two-stage approach,” in 2024 AAPM Annual Meeting & Exhibition, 2024.

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