Explainability of conditional diffusion models

Implementation of high-accurate photogrammetry pipeline for railway tracks

Learned Compression in Distributed Computer Vision Tasks

Visualization Tools for Graph Deep Learning Predictions and Explanations

Real-time Clinical Motion Capture with HoloLens 2

Evaluation of Low-Power Strategies for Biomedical Wearable Devices

Autonomous Drone Racing Using Only Onboard Sensing and Computation

Generative AI at the Edge

Augmented Reality Visualization of Human Anatomy for Physiotherapy Education

Semantic Scene Understanding with Vision-Language Models for Safer Aerial Robot Motion Planning

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

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

Feature extraction from prostate MRI using Autoencoders

Hardware Acceleration of Hyperspectral Image Fusion

Distributed Learning of DNNs for Vision Classification Tasks

Deep unfolding for integrated communication and sensing

Multi-Modal Representation Learning on Large-Scale Datasets

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

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

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

Applied Embedded AI

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

Real-time Acoustic Applications

Enhancing Intelligent Systems with Large Language Model Reasoning

Embedded Hardware Security

Federated Learning for Language Models

Plenoptic Image Representations (Photogrammetry, NeRF, Gaussian Splatting)

Modeling Building Facades from Street-level Imagery

Development and Evaluation of Self-Supervised Deep Learning Models for IMU-Based Gait Event Detection and Analysis

Deep unfolding for computer vision

Semantic Image Compression

Explainable AI for protein folding (XAI in computational biology)

Investigating Potential/Ambiguous Cluster-like Breast Microcalcifications through Deep Learning on High-Resolution Micro-CT Scans

Enhancing Skeletal Tracking Accuracy of Azure Kinect with Deep Learning

Large Language Models for Automated Clinical Coding

Natural Language Explanations for AI in Agriculture

Machine learning for transient radar signal processing

Natural Language Explanations for Medical Imaging

Markov Networks and Generative Deep Learning for Air Quality Forecasting

Predicting survival for melanoma

Trustworthy Deep Fake Detection

Interpretable AI for joint communication and sensing

Detection and segmentation of brain metastases on [¹⁸F]FDG PET/CT

Implementation and Evaluation of Synchronized MAC Protocol for 2.4 GHz LoRa

Addressing Adversarial Attacks in AI-Enhanced Manufacturing

Embedded AI for lensless cameras

Markov Networks and Generative Deep Learning for Air Quality Forecasting

Deep unfolding for computer vision

Registration and Analysis of Breast MCs on Sequential Mammography Images

Implementation and evaluation of asynchronous MAC protocols for 2.4 GHz LoRa