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Current Research
Projects
- Deep Learning & Machine Learning:
- Issues on Data Augmentation and Transfer
Learning for
deep learning architectures
- Deep fake analysis and detection
- Image segmentation/clustering
issues with application to crops, vehicles, and people
- Computer Vision:
- Soft biometrics for people
and actions recognition in surveillance videos
- Online Detection of COVID-19
protection mask in videos "in the wild"
- Anomaly detection in
surveillance videos
- Enriched semantic description of
video contents in natural language
- Multimodal (image, sketch, video,
text) retrieval
- Tatoo image detection, location,
classification and
re-identification
- Data Mining & Big Data:
- Real-time car
identification (make, model, color, licence) in multiple video streams
- Real-time
re-identification of people in multiple video streams
- Notification-Oriented Paradigm
for large-scale video-processing systems
- Bionformatics:
- Computer simulation of protein
folding and aggregation with GPU-based parallel Molecular Dynamics
- Deep learning methods for the study
of the aggregation of amyloidogenic proteins
- Evolutionary Computation:
- Genetic Programming for
image segmentation
Past Research
Projects
- Deep Learning & Machine Learning:
- Deep learning methods for the
protein secondary structure prediction problem
- Bionformatics:
- Algorithms for the Protein Folding
Problem
- Deep learning methods for the
protein secondary structure prediction problem
- Human behavior analysis from
large-scale wi-fi data
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