Department of Computer Engineering · Sharif University of Technology soleymani@sharif.edu

Faculty 1

PhD Students 4

Hosein Hasani

PhD student

Bayesian Reinforcement Learning in Non-Stationary Environments

MSc Students 8

Ali Bababeig

MSc student

Detecting Biases in Multimodal Text–Image Foundation Models

Ali Rahimiakbar

MSc student

Improving the faithfulness of reasoning in multimodal large language models.

Alumni 36

NameDegreeYearsThesisNow
Adeleh Bitarafan PhD student — Weakly Supervised Learning in 3D Medical Image Segmentation —
Ali Abdollahi MSc student — Compositional Generalization in Vision-Language Models —
Alireza Roshanzamir MSc student — Alzheimer’s Disease Diagnosis using Description Test —
Alireza Sahaf Naeini MSc student — Deep Networks in Reinforcement Learning —
Amin Banayeeanzade MSc student — Meta-Continual Learning —
Amir Akbarnejad MSc student — Probabilistic Approach for Multi-label Classification —
Amir Ali Moinfar MSc student — Single-Cell RNA-seq Dropout Imputation and Noise Reduction by Machine Learning —
AmirHossein Ameli Kalkhoran MSc student — Continual learning using unsupervised data —
AmirShayan Haghipour MSc student — Using deep generative models for event sequence generation in recommender systems —
Arash Marioriyad MSc student — Compositional Generation in Text-to-image Models —
Danial Alihosseini MSc student — Conditional Text Generation with Deep Generative Models —
Ehsan Montahaei MSc student — Adversarial Networks for Sequence Generation —
Faezeh Faez PhD student — Deep Conditional Graph Generation for Network Completion —
Fahimeh Hosseini Noohdani MSc student — Out-of-Distribution Generalization of Image Classifiers —
Faridoun Mehri MSc student — Balancing Gradient Flow for Universally Better Transformer Attributions —
Fatemeh Farahnak-Ghazani MSc student — Multi-label Classification by Considering Label Dependencies —
Fatemeh Seyedsalehi PhD student — Deep Learning in a Structured Output Space —
Hossein Khalili MSc student — 3D Medical Images Segmentation by Effective Utilization of Unlabeled Data —
Mahdi Ghaznavi MSc student — Robust Learning to Spurious Correlation without Access to Group Annotation —
Mahsa Ghorbani PhD student — Learning Node Embedding in Complex Networks —
Marzieh Gheisari MSc student — Unsupervised Domain Adaptation —
Melika Behjati MSc student — Adversarial Robustness of Deep Neural Networks in Text Domain —
Mohamadreza Fereydooni MSc student — Many-Class Few-Shot Classification —
Mohammad Mozafari MSc student — Meta-learning in 3D medical image segmentation —
Omid Abbasi MSc student — Deep Learning in Recommender Systems —
Parishad BehnamGhader MSc student — Graph-based Word Embedding using Deep Neural Networks —
Rasool Mirzaiezadeh MSc student — Few-Shot Semantic Segmentation using Meta-Learning —
Roostaiyan Seyed Mahdi MSc student — Multi-modal Distance Metric Learning —
Sarah Rastegar MSc student — Deep Multi-Modal Learning —
Seyed Alireza Mirmohammad Sadeghi MSc student — Deep Video Captioning using Recurrent Neural Networks —
Seyed Mohammad Chavoshian MSc student — Deep Visual Question Answering —
Seyed Mohammad Hadi Hosseini MSc student — Uncertainty-based Reasoning in Large Language Models —
Seyed Mohsen Shojaee MSc student — Deep Zero-Shot Learning —
Seyed Roozbeh Razavi Rohani MSc student — Meta Reinforcement Learning using Brain-Inspired Networks —
Sina Hajimiri MSc student — Representation Learning by Deep Networks and Information Theory —
Zeinab Golgooni MSc student — Deep Learning Based Proarrhythmia Analysis —