Medical image intelligence
Segmentation, classification, and registration across MRI, CT, ultrasound, and ophthalmic imaging—with attention to small lesions, irregular boundaries, and multimodal data.
Research
AI that learns, adapts, and earns trust.
My research develops dependable machine learning systems for medical images, clinical text, and evolving cyber threats.
Scholar · Collaborator · Builder13Publications & presentations
3Research domains
2017–26Publication record
Research agenda
Questions I’m pursuing.
I work across disciplines, but each project returns to a central question: how can intelligent systems become more reliable, useful, and responsible?
Adaptive & continual learning
Systems that learn from change without forgetting, detect uncertainty, and adapt to new data distributions in safety-critical environments.
Cybersecurity & anomaly detection
Machine learning for intrusion detection, attack clustering, and low-false-positive anomaly detection in evolving network environments.
Selected scholarship
Publications
01
DMCIE: Diffusion model with concatenation of inputs and errors for enhanced brain tumor segmentation in MRI images
S. Yavari, R. N. Pandya, & J. Furst
International Journal of Computer Assisted Radiology and Surgery, 21(2), 389–39802
DC-IDS: A dynamic continual learning intrusion detection system with uncertainty-aware adaptation
S. Yavari, R. Tajzadeh, & J. Furst
SPIE Assurance and Security for AI-Enabled Systems03
Mamba-BTS: Boundary-aware Mamba segmentation for multimodal brain tumor MRI
R. N. Pandya, S. Yavari, J. Furst, & R. Tchoua
SPIE Defense + Security04
Codebook-guided LLMs for social ecological coding of breast cancer screening focus groups
S. Chauhan, A. Abdallah, D. Malaviya, R. Kevadiya, R. Pandya, S. Yavari, T. Wang, & R. Tchoua
22nd IEEE International Conference on eScience05
ReCoSeg: Residual-guided cross-modal diffusion for efficient brain tumor segmentation
S. Yavari, R. N. Pandya, & J. Furst
Medical Imaging with Deep Learning06
ReCoSeg++: Extended residual-guided cross-modal diffusion for brain tumor segmentation
S. Yavari, R. N. Pandya, & J. Furst
arXiv preprint07
Mitigating catastrophic forgetting in the incremental learning of medical images
S. Yavari & J. Furst
arXiv preprint08
Biomechanically regularized deep deformable registration for CT and US fusion
S. Mohanty, S. Yavari, & S. P. Dakua
Electronics Letters, 61, e7035109
Enhancing online intrusion detection systems via attack clustering
S. Yavari & S. M. A. Oteafy
IEEE GLOBECOM, 4650–465510
Remote heart assessment using deep learning over IoT phonocardiograms
S. Yavari & S. M. A. Oteafy
IEEE Conference on Local Computer Networks11
Machine-learning techniques to design an intrusion detection system in computer networks
S. Yavari & S. M. Mosavi
Women in CyberSecurity Conference12
Security analysis of ultra-wideband communication systems for telemedicine and IoT-based healthcare
S. Yavari
Yasin Publishing13
Providing a fuzzy logic control system to reduce the frequency deviation in independent hybrid power system
S. Yavari
IEEE KBEI, 723–728Collaboration
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