Projects

Computerized Diagnosis Methods for Pediatric Cardiology IEEE Access (2025)

A comprehensive review of computerized diagnosis methods for pediatric cardiology, exploring machine learning applications in heart health.

Improving Token-Based Object Detection With Video IEEE Access (2025)

Enhancing object detection frameworks by leveraging temporal data from video streams to improve accuracy and consistency.

River Ice Segmentation With Deep Learning IEEE TGRS (2020)

Applying deep learning architectures for the automated and precise segmentation of river ice in remote sensing imagery.

Disentangling Hippocampal Shape Variations ML for Biomedical Imaging (2024)

Analyzing neurological disorders using Mesh Variational Autoencoders with Contrastive Learning to study hippocampal shapes.

Early Detection of Bark Beetle Attack ACM Computing Surveys (2023)

A review on using remote sensing and machine learning for the early detection of forest infestations.

Early Prediction of Human iPSC Reprogramming Success ML for Biomedical Imaging (2023)

Towards the automated and early prediction of reprogramming success in human induced pluripotent stem cells.

GMCNet - Generative Multi-Resolution Framework IEEE Access (2023)

A generative framework designed for multi-resolution cardiac registration and segmentation.

Fast Large-Scale Spectral Clustering IEEE Transactions on Cybernetics (2019)

Explicit feature mapping techniques to enable fast spectral clustering on large-scale datasets.

Object Classification With Joint Projection IEEE Transactions on Image Processing (2018)

Research on low-rank dictionary learning and joint projection for robust object classification.