People - آزمایشگاه بینایی كامپیوتر دانشكده سامانههای هوشمند - cvlab
افراد
حانیه نادری
عضو هیئت علمی دانشکده مهندسی سامانههای هوشمند، دانشگاه تهران
حانیه نادری، عضو هیئت علمی دانشکده مهندسی سامانههای هوشمند دانشگاه تهران، دکتری مهندسی کامپیوتر با گرایش هوش مصنوعی را از دانشگاه صنعتی شریف دریافت کردهاند و در سالهای ۲۰۲۱ و ۲۰۲۲ بهعنوان پژوهشگر مهمان در دانشگاه سایمون فریزر در ونکوور کانادا فعالیت داشتهاند.
پژوهشهای ایشان بر توسعه روشهای نوین هوش مصنوعی، یادگیری ماشین و بینائی کامپیوتر متمرکز است؛ با تأکید ویژه بر هوش مصنوعی قابل اعتماد، مقاومت شبکههای عصبی در برابر حملات خصمانه و تحلیل دادههای سهبعدی و ابرنقاط. هدف این پژوهشها، توسعه مدلهای هوشمند دقیقتر، مقاومتر و قابل اعتمادتر برای مسائل واقعی است.
دانشجویان دکتری۱ نفر
دانشجویان کارشناسی ارشد۱۰ نفر
دانشآموختگان۳ نفر
People
Hanieh Naderi
Faculty Member, Department of Intelligent Systems Engineering, University of Tehran
Hanieh Naderi is a faculty member in the Department of Intelligent Systems Engineering, University of Tehran. She received her Ph.D. in Computer Engineering with a specialization in Artificial Intelligence from Sharif University of Technology, and was a visiting researcher at Simon Fraser University in Vancouver, Canada, in 2021 and 2022.
Her research focuses on artificial intelligence, machine learning, and computer vision, with particular emphasis on trustworthy AI, adversarial robustness of neural networks, and the analysis of 3D data and point clouds. Her work aims to develop more accurate, robust, and reliable AI methods for real-world applications.
Ph.D. Students1 person
M.Sc. Students10 people
Alumni3 people
People
Dr. Hanieh Naderi is an Assistant Professor at the School of Intelligent Systems Engineering, University of Tehran, where she leads the Computer Vision Laboratory. She received her Ph.D. in Computer Engineering, specializing in Artificial Intelligence, from Sharif University of Technology. In 2021 and 2022, she was a visiting researcher at Simon Fraser University in Vancouver, Canada, and has continued her research collaborations through joint scientific publications.
Her research focuses on artificial intelligence, machine learning, and computer vision, with particular emphasis on trustworthy AI, adversarial robustness of neural networks, and the analysis of 3D data and point clouds. Her work aims to develop more accurate, robust, and reliable AI methods for real-world applications.
A deep learning approach for differentiating salivary gland pleomorphic adenoma from mucoepidermoid carcinoma using histopathological images
Spectral-Contrastive JEPA for Robust Point-Cloud Representation
