Anahita is an applied researcher specializing in machine learning and deep learning with a focus on signal and image processing and computer vision. Her work spans applications ranging from medical image analysis and video-based human activity recognition to multimodal signal interpretation and display technologies. She has developed data-driven methods and curated large-scale datasets in collaboration with academic, clinical, and industry partners to address complex real-world problems. Her current research at IBL focuses on wearable sensor technologies for sports and exercise monitoring. By developing ML and DL algorithms to analyze multimodal signals, including near-infrared spectroscopy (NIRS), she aims to generate real-time insights that support athletic performance, training optimization, and injury prevention.
Education
Ph.D., Electrical and Computer Engineering, The University of British Columbia, Vancouver, Canada
M.Sc., Electrical and Computer Engineering, University of Tehran, Tehran, Iran
B.Sc., Electrical and Computer Engineering, University of Tehran, Tehran, Iran
Publications
For a full list of publications, please see her Google Scholar profile.