ML | Mohammadhossein (Rastin) Akbari Moafi

EEG Motor Imagery – Deep ERP Classification

Tue, 01 Jul 2025 00:00:00 +0000

Processed ERP segments from the PhysioNet EEG dataset (109 subjects) for motor imagery classification. Evaluated RF, LSTM, CNN, EEGNet via cross-validation and full-dataset training. Reached 74.34% accuracy with EEGNet, outperforming traditional and sequence models.

Knowledge-Guided Visual Analytics for Scientific Image Annotation

Sun, 01 Jun 2025 00:00:00 +0000

A deep learning pipeline for automatic annotation and retrieval of scientific figures. The system builds on CLIP and BiomedCLIP — including fine-tuned variants — to embed biomedical images and text into a shared semantic space, and integrates Wikidata-based knowledge graphs to enrich that space with structured domain knowledge. The result is stronger semantic alignment between figures and their descriptions, along with interpretable visualisations that make the annotation and retrieval behaviour of the models easier to inspect.

Text-Guided Medical Image Denoising with Vision-Language Fusion

Thu, 01 May 2025 00:00:00 +0000

A medical image denoising system that fuses vision and language: a UNet-based denoiser is conditioned on CLIP text embeddings derived from the VQA-RAD dataset, letting textual context guide the reconstruction of noisy scans. Compared to a vision-only baseline, the vision-language fusion improved reconstruction quality by 12.5% in PSNR and 4.6% in SSIM.

Football Match Dynamics - Centralities, Motifs, and Embeddings

Sun, 01 Dec 2024 00:00:00 +0000

Analyzed passing networks with graph-based metrics and Node2Vec embeddings. Identified tactics and key players using Louvain clustering and temporal trends.

Stock Price Prediction

Thu, 01 Aug 2024 00:00:00 +0000

Designed an LSTM-based model for 14-day forecasting with real-time data pipelines. Improved financial modeling for short-term predictions.

Lymphoma – Data Augmentation for Deep Medical Imaging

Wed, 01 May 2024 00:00:00 +0000

Boosted DenseNet121 classification accuracy to 98.67% via PCA, DCT, and noise-based augmentation (baseline - 93.6%).

Bone Age Prediction from Hand Radiographs

Thu, 01 Jun 2023 00:00:00 +0000

Used MediaPipe and CLAHE for preprocessing. Achieved 10.47 MAE using deep regression (ResNet, Inception-v4).

Used Car Price Prediction

Thu, 01 Jul 2021 00:00:00 +0000

An end-to-end machine learning pipeline for estimating the market price of used cars. Listings were collected via web scraping and cleaned into a structured dataset, with categorical features encoded for model consumption. Several regression models were trained and compared, with a Random Forest regressor delivering the most accurate price estimates and forming the core of the final predictive system.

Tehran Air Quality Index Forecasting

Tue, 01 Jun 2021 00:00:00 +0000

A forecasting study of Tehran’s Air Quality Index built on a decade of historical pollutant measurements. Decision Tree, Support Vector Machine, and Random Forest models were trained and evaluated on the dataset to predict AQI levels, comparing how well each captures the temporal patterns and pollutant interactions that drive air quality in the city.