Other

Other

The SDSC contributes with machine learning and AI techniques to enhance projects in the field of architecture, civil engineering and physics.

Projects

TREMA

Completed
Transforming real estate management with AI
Engineering

IRMA

Completed
Interpretable and Robust Machine Learning for Mobility Analysis
Engineering

FLBI

In Progress
Feature Learning for Bayesian Inference
Physics

VOCIM

In Progress
Directed Imitation During Vocal Learning
Biology

MLIBRA

In Progress
Mouse LIpid Brain Atlas
Biology

Robotoddler

In Progress
Autonomous Robotic Assemblies
Engineering

ML-Spock

Completed
Machine Learning Supported System for Performance Assessment of Steel Structures Under Extreme Operating Conditions and Management of Risk
Engineering

CHEMSPEC

Completed
Cost-effective chemical speciation monitoring of particulate matter air pollution
Climate & Environment
Chemistry

LEAP

Completed
LEArning to Print – towards data-driven real-time predictions for additive manufacturing
Engineering

FastPoints2Mesh

In Progress
Data-Driven Inference of Mesh-based Representations for Deformable Objects from Unstructured Point Clouds
Engineering

PAIRED-HYDRO

Completed
Machine learning for the components fatigue prediction in hydropower generation
Energy & Sustainability
Engineering

DAAAD_Bridges

Completed
Domain-aware-AI Augmented Design of Bridge Structures
Engineering

DDForms

Completed
Data driven fast optimization of resonant metamaterial structures
Engineering

SEMIRAMIS

Completed
AI-augmented Architectural Design
Engineering

4D-Brains

Completed
Extracting Activity from Large 4D Whole-Brain Image Datasets
Biology

SMARTAIR

Completed
Self-guided Machine Learning Algorithms for Real-Time Assimilation, Interpolation and Rendering of Flow Data
Engineering

MLATEM

Machine Learning tools for Analytical Transmission Electron Microscopy
Chemistry

SenseDynamics

Completed
Predicting aerodynamics forces from sensor data
Engineering
Physics

SysGen

Systems Genetics
Biology

MSEI

Completed
Molecular structure elucidation by integrating different data mining strategies
Chemistry

Neuro-choice

Completed
Extracting Neural Activity Signals from Large-scale Calcium Imaging Data
Biology

BISTOM

Completed
Bayesian Parameter Inference for Stochastic Models
Physics

AADS

Completed
Data Science Enabled Acoustic Design
Engineering

Case studies

Other domains

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