Learned Compression in Distributed Computer Vision Tasks

Applied Embedded AI

Multi-Modal Representation Learning on Large-Scale Datasets

Trasnformers and CNNs for Individual and Cluster-Level Classification of Breast Microcalcification in Mammography

Real-time Acoustic Applications

Autonomous Drone Racing Using Only Onboard Sensing and Computation

Explainability of conditional diffusion models

Deep unfolding for integrated communication and sensing

Exploring Downstream Tasks of Text-to-Image Generative Models

Fusion of 3D Digital Breast Tomosynthesis and Clinical Data Using HyperFusion-Net for Breast Microcalcification Classification

Real-time Clinical Motion Capture with HoloLens 2

Master Thesis Proposal IMU-Driven Foot Immersion in VR: Advancing Fall Risk Evaluation for Neurological Conditions

Distributed Learning of DNNs for Vision Classification Tasks

Visualization Tools for Graph Deep Learning Predictions and Explanations

Generative AI at the Edge

Enhancing Intelligent Systems with Large Language Model Reasoning

Semi-automated as-built verification of railway infrastructure using drone imagery

Augmented Reality Visualization of Human Anatomy for Physiotherapy Education

Implementation of high-accurate photogrammetry pipeline for railway tracks

Feature extraction from prostate MRI using Autoencoders

Learning through Exploration and Qualitative Models: A Human-Inspired Approach to Robotic Intelligence of application.

Hardware Acceleration of Hyperspectral Image Fusion

Embedded Hardware Security

Evaluation of Low-Power Strategies for Biomedical Wearable Devices

3D Wall Reconstruction on a Moving Robotic Arm Using RGB-D SLAM and Laser Calibration