Research

Active and completed research projects, their teams, and resulting publications.

Ongoing

Peptide-HLA Binding Prediction Using Mixture of Experts (MoE) and Siamese Neural Networks

Participants: Saba Familfeizi, S. AmirAli Gh. Ghahramani
Completed

Brain Tumor Detection with Transformers and Faster RCNN

Participants: Mehrshad Momen, S. AmirAli Gh. Ghahramani, Ali Mohammad Afshin Hemmatyar

Resulting Publications

  • Advancing Brain Tumor Detection via ViRCNN: A Fusion of Vision Transformers and Faster R-CNN · 2025 15th International Conference on Computer and Knowledge Engineering (ICCKE) (2025)
Completed

Semi-Super Resolution GAN for Channel Estimation in MIMO Systems Aided by Intelligent Reflecting Surface

Participants: Mehrshad Momen, Mehrdad Momen, S. AmirAli Gh. Ghahramani, Ali Mohammad Afshin Hemmatyar

Resulting Publications

  • Channel estimation for Massive MIMO systems aided by intelligent reflecting surface using semi-super resolution GAN · Signal Processing (2025)
Completed

Detecting Multi-modal Fake News in Social Media by Graph Neural Networks

Participants: Makan Kanaanian, S. AmirAli Gh. Ghahramani, Fatima Badiea

Resulting Publications

  • GraMuFeN: graph-based multi-modal fake news detection in social media · Social Network Analysis and Mining (2024)
Completed

Learning End-to-End Images and Captions Embedding Using Graph Neural Networks

Participants: S. Arman Madani, S. AmirAli Gh. Ghahramani, Ali Moghimi
Completed

Adversarial Weight Balancer for Imbalanced Text Datasets Using Graph Neural Network

Participants: Fatima Badiea, S. AmirAli Gh. Ghahramani, Makan Kanaanian

Resulting Publications

  • Text Classification on Imbalanced Data using Graph Neural Networks and Adversarial Weight Balancer · 2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) (2023)
Completed

Mutation Prediction of Infectious Viruses based on Different Machine learning Approaches

Participants: Khashayar Ehteshami, S. AmirAli Gh. Ghahramani, Kaveh Kavousi
Completed

Monocular Depth Estimation for Autonomous Vehicle Perception Systems

Participants: Mehrnaz F. Afshar, Zahra Shirmohammadi, S. AmirAli Gh. Ghahramani, Azadeh Nourparvar, Ali Mohammad Afshin Hemmatyar

Resulting Publications

  • An Efficient Approach to Monocular Depth Estimation for Autonomous Vehicle Perception Systems · Sustainability (2023)
Completed

VGG-XGBoost Classification and Segmentation of Pulmonary Lesions

Participants: Niloofar Akhavan Javan, Ali Jebraeili, Babak Mozaffari, Morteza Hosseinioun, S. AmirAli Gh. Ghahramani

Resulting Publications

  • Classification and Segmentation of Pulmonary Lesions in CT Images Using a Combined VGG-XGBoost Method, and an Integrated Fuzzy Clustering-Level Set Technique · arXiv preprint: 2101.00948v2 (2021)
Completed

Detecting Community Structures in Patients with Peripheral Nervous System Disorders

Participants: Morteza Hosseinioun, Ali Mohammad Afshin Hemmatyar, Ali Movagahr, S. Amir Ali Gh. Ghahramani

Resulting Publications

  • Detecting Community Structures in Patients with Peripheral Nervous System Disorders · International Conference on Complex Networks and Their Applications (2023)
Completed

Drug-Target Interaction Prediction with Deep Learning and Recommender Systems

Participants: Amir Hossein Nosrati, S. Amir Ali Gh. Ghahramani, Kaveh Kavousi

Resulting Publications

  • BiProSimGCN: Prediction of Drugs-Proteins Interactions Using Graph Convolutional Neural Network and Proteins Similarity · 2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) (2023)
Completed

Deep Learning application in chiropractic-based treatment

Participants: Negar Negahdaripour, Morteza Hosseinioun, S. Amir Ali Gh. Ghahramani
Completed

Graph representation learning framework to construct coarse grid hierarchy for AMG solvers

Participants: Reza Namazi, Arsham Zolanvari, Mahdi Sani, S. Amir Ali Gh. Ghahramani

Resulting Publications

  • GL-Coarsener: A Graph representation learning framework to construct coarse grid hierarchy for AMG solvers · arXiv preprint arXiv:2011.09994 (2020)