Raji Susan Mathew

Raji Susan Mathew is an Assistant Professor at the School of Data Science, Indian Institute of Science Education and Research Thiruvananthapuram (IISER TVM). Her research focuses on regularization techniques, compressed sensing, and deep learning for medical image reconstruction, particularly in magnetic resonance imaging (MRI) and quantitative susceptibility mapping (QSM).

• Current affiliation: School of Data Science, IISER TVM
• Prior appointments: C. V. Raman Postdoctoral Fellow and Research Associate III at Indian Institute of Science, Bangalore
• Education: Ph.D. in MR image reconstruction from IIIT-Kerala, M.Tech in Signal Processing from Cochin University of Science and Technology, B.Tech in Electronics and Communication Engineering from Mahatma Gandhi University

Her recent publications highlight expertise in AI-driven medical imaging solutions, including QSM optimization, vision transformers for nerve tracking, and unsupervised learning for corrosion analysis. She has also contributed to book chapters on parallel MRI theory and regularization frameworks.

Scientific awards include the C. V. Raman Postdoctoral Fellowship and Maulana Azad National Fellowship, supporting her work on efficient algorithms for medical image processing.

Dr. Mathew advises Ph.D. and BS-MS students on topics like spiking neural networks in imaging, uncertainty-aware QSM reconstruction, and lightweight AI models for disease classification. She actively reviews for journals like IEEE Transactions on Medical Imaging and conferences like ISBI and ICASSP.