Biomedical Image Computing Lab is supported by a highly skilled and dedicated team of professionals with extensive experience in the fields of Electrical Engineering and Computer Science:
Phone: +972 8 6428812
Office: 212, Bldg. 33
I am a faculty member in the School of Electrical and Computer Engineering. I earned my Ph.D. in Electrical Engineering from MIT and joined the faculty in 2007. Throughout my academic career, I have been dedicated to advancing both research and education, mentoring graduate students, and contributing to numerous collaborative projects. I am passionate about creating a dynamic learning environment and fostering innovation through interdisciplinary collaboration. My work focuses on developing efficient algorithms for real-time data analysis, designing next-generation communication systems, enhancing AI models for embedded devices. In 2007, I established My Research Lab, which continues to support cutting-edge projects and student development.
Explainable AI for multimodal and vision models, with the goal of improving their transparency, controllability, and trustworthiness in critical domains
Understanding ageing and neurological disease progression from structural brain MRI with explainable AI
Unsupervised Bias Field Correction via Deep Image Decomposition and Symmetry
Fine structure segmentation with GNNs
Microscopy Imaging Analysis
Visual decoding from fMRI with explainable GNN
Semantic image coding
Trustworthy NeuroImaging Analysis
Microscopy imaging enhancement
DCE-MRI imaging analysis with AI
M.Sc.; 2025; Domain adaptation in medical imaging Currently: ModelCode AI, AI EngineerM.Sc.; 2023; Advancing deep learning in medical imaging; novel graph neural network method for cell tracking in microscopy videos (ECCV 2022)Currently: D-ID, AI Researcher & Team LeadM.Sc.; 2021; Deep learning approach for lung CT segmentation of covid-19 patients; implications of an inter-rater bias on the training Currently: Axon PulseM.Sc.; 2021; Stochastic weight pruning and the role of regularization in shaping network structureCurrently: Oxford University, Ph.D.M.Sc.; 2021; Subsampled MRI reconstruction with GANCurrently: Samsung Israel R&D Center, Advanced Sensor Algorithms Team LeaderPh.D.; 2020; Microscopy video analysis - Cell segmentation and trackingCurrently: AppleM.Sc.; 2018Currently: Voyage81, ODDITY’s Innovation Core for Vision-based AI, VP R&D ; Advocate for Women in TechM.Sc.; 2018; Accelerate MRI scans with generative models Currently: Mobileye, VP AI EngineeringM.Sc.; 2016; Ensemble of expert DNN for spatio-temporal de-noising of DCE-MRI sequencesCurrently: Mobileye, Technical ExpertM.Sc.; Differentiable joint and color histogram layers for image-to-image translationCurrently: Nvidia, Senior Video Architect
