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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