Project name: Physics-informed Deep Learning for Wind Farm Flow Modeling (DeepWindFarm)
Duration: 5/2021 - 4/2024
Grated by: Independent Research Fund of Denmark
Role: co-Investigator
Amount: 2,878,821 DKK
Project name: Multimodal Extreme Scale Data Analytics for Smart Cities Environments (MARVEL)
Duration: 1/2021 – 12/2023
Granted by: H2020-ICT - RIA
Role: Principal Investigator (AU)
Amount: 334,610 € (total budget 5,998,086 €)
MADE FAST is the third major project coordinated by the MADE consortium in relation with manufacturing in Denmark. FAST is an acronym for Flexibility, Agility, Sustainability and Talent and the full budget is more than a quarter of a billion DKK, where 80MDKK comes from the Danish Innovation Foundation. It is a collaboration with more than 50 companies, 5 universities and 3 GTSs.
Part projects of MaLeCI and CPS groups at ENG-AU:
3.01: Digital twin with Co-simulation for Packing and Assembly Lines in Manufacturing
4.07: Improving Filter Insert Performance and Quality using Simulation and Data Analytics
4.08: Digital Twin of Movable Factory
4.09: Enabling Real-Time Release Testing using Digital Twin in Medical Device Assembly
4.10: Multimodal Digital Twins enhancing integration speed
4.18: Online process control and optimization using X-ray and AI
Duration: 2020 - 2023
Granted by: MADE FAST (more information in https://digit.au.dk/research-projects/made-fast/)
Role: Principal Investigator (AU) or co-Principal Investigator (AU)
Amount: ~12,000,000 DKK
Project title: Bayesian Neural Networks for Bridging the Gap Between Machine Learning and Econometrics (BBNmetrics)
Duration: 8/2020 - 7/2022
Granted by: H2020 MSC-IF
Role: Supervisor
Amount: 207,312 €
Project title: Open Deep Learning platform for Robotics
Duration: 1/2020 – 12/2022
Granted by: H2020-ICT - RIA
Role: Principal Investigator (AU)
Amount: 897,500 € (total budget 6,661,685 €)
Project title: Data-driven Inter-stock Predictive Analytics - DISPA
Duration: 11/2019 – 10/2022
Granted by: Independent Research Fund Denmark
Role: Principal Investigator
Amount: 2,767,987 DKK
Project title: Agile Edge Intelligence for Delay Sensitive IoT
Duration: 4/2020 - 3/2023
Grated by: Independent Research Fund of Denmark
Role: Co-Investigator
Amount: 2,878,411 DKK
Project title: Data-Driven Analytics for Unmanned Aerial Vehicles
Duration: 12/2019 – 10/2021
Granted by: AU-ST
Role: Principal Investigator
Amount: 2,400,000 DKK
Project title: Fast, effective and interpretable Deep Learning
Duration: 9/2018 – 8/2021
Granted by: Centre for Digitalisation, Big Data and Data Analytics
Role: Co-Investigator
Amount: 1,500,000 DKK
Title: Weather Forecasting using Deep Learning and Satellite Images
Duration: 2/2019 – 2/2022
Granted by: Danske Commodities (Industrial PhD)
Role: Co-Principal Investigator
Project title: Biotic interactions tracked by computer vision (BITCue)
Duration: 4/2019 –3/2022
Granted by: Independent Research Fund Denmark
Role: Co-Investigator
Amount: 2,587,991 DKK
Project title: Automatic Insect Detection (AID)
Duration: 2018 –2020
Granted by: Villum Fonden
Role: External Participant
Amount: 1,991,685 DKK
Project title: Promoting image-based data generation and extraction with machine learning
Duration: 8/2017 – 12/2018
Granted by: Aarhus University Interdisciplinary Network Grant
Role: Participant
