Research Grants and Projects
Worked in and led research projects involving machine learning, computer vision and pattern recognition capabilities in a wide range of applications.
Worked in and led research projects involving machine learning, computer vision and pattern recognition capabilities in a wide range of applications.
Project name: A Comprehensive Framework enabling the Delivery of Trustworthy Datasets for Efficient AIoT Operation (PANDORA)
Duration: 4/2023 – 3/2026
Granted by: HEU - RIA
Role: Principal Investigator (AU)
Amount: 464,481 € (total budget 8,993,646 €)
Project name: Data-driven Model Discovery for Turbulent Flows
Duration: 3/2024 - 2/2026
Granted by: Villum Synergy Programme, Data-Driven Science
Role: Data Science Principal Investigator
Amount: 2,995,466 DKK
Project name: Deep Learning for Financial Investor Network Analysis
Duration: 9/2023 - 8/2027
Granted by: Independent Research Fund Denmark
Role: Principal Investigator
Amount: 6,191,605 DKK
Project name: Touch-enabled Tactile Internet Training Network and Open Source Testbed (TOAST)
Duration: 2022 – 2026
Granted by: HEU - MSCA Doctoral Network
Role: Co-Investigator (AU), Supervisor of 1 DC and co-supervisor of 1 DC
Amount: 905,364 € (total budget 2,741,623 €)
Project name: Nordic University Cooperation on Edge Intelligence (NUEI)
Duration: 2024 - 2028
Granted by: Nordforsk Foundation
Role: Co-Investigator (of Danish site)
Amount: 4,992,531 NOK
Project name: AI supported modulal resign and implementation
Duration: 9/2022 - 8/2026
Granted by: Industriens Fond, and Thomas B Thriges Fond
Role: Principal Investigator (AU team)
Amount: 4,563,000 DKK
Project name: Federated Learning for Online Collaborative Knowledge & Decision-making (FLOCKD)
Duration: 5/2021 - 4/2024
Granted by: Independent Research Fund of Denmark
Role: co-Investigator
Amount: 2,878,042 DKK
Project name: Physics-informed Deep Learning for Wind Farm Flow Modeling (DeepWindFarm)
Duration: 5/2021 - 4/2024
Granted 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 €)
Project website: https://www.marvel-project.eu/
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:
4.18: Online process control and optimization using X-ray and AI
4.07: Improving Filter Insert Performance and Quality using Simulation and Data Analytics
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: ~4,000,000 DKK
Project name: 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 website: Martin Magris - BBnmetrics
Project name: CA19130 - Fintech and Artificial Intelligence in Finance - Towards a transparent financial industry
Duration: 2020 - 2023
Granted by: H2020 COST Action
Role: Management Committee Member
Amount: Travel budget for networking
Project name: Open Deep Learning platform for Robotics (OpenDR)
Duration: 1/2020 – 12/2022
Granted by: H2020-ICT - RIA
Role: Principal Investigator (AU)
Amount: 942,500 € (total budget 6,661,685 €)
Project website: http://opendr.eu/
Project name: 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 name: 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 name: 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 name: 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 name: 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 name: Automatic Insect Detection (AID)
Duration: 2018 –2020
Granted by: Villum Fonden
Role: External participant
Amount: 1,991,685 DKK
Project name: Promoting image-based data generation and extraction with machine learning
Duration: 8/2017 – 12/2018
Granted by: Aarhus University Interdisciplinary Network Grant
Role: Participant
Title: Human Action Recognition in Dynamic Scenes
Duration: 9/2016 – 8/2019 (realized duration 9/2016 – 7/2017)
Granted by: Academy of Finland Postdoctoral Research Fellowship
Role: Fellow
Amount: 437,410 €
Title: Novel Non-linear Analytics for Big Data
Duration: 4/2015 – 3/2017
Granted by: TTY Foundation Postdoctoral Research Fellowship
Role: Fellow
Amount: 107,000 €
Eight (1-PY) projects through the NSF IUCRC Center for Visual Decision Informatics (Co-PI)
Topics:
Advanced Machine Learning for Industrial Applications II
Advanced Machine Learning for Industrial Applications
Co-Botics - Intelligent Cooperating Robots and Humans Phase II
Unsupervised Color Constancy using Adversarial Learning
Co-Botics - Intelligent Cooperating Robots and Humans
Comparative Knowledge Discovery: Analyzing, Understanding and Visualizing Ranking
An Evolutionary Face Recognition and Verification System
Let the image speak (Real time image captioning based object detection and localization)
Granted by: NSF-TEKES collaboration
Role: Co-Principal Investigator
Amount: 8 x 115,000 €
Academy of Finland, Advanced Computational and Statistical Techniques for Biomonitoring and Aquatic Ecosystem Service Management – DETECT, 9/2015-7/2017 (external postdoc collaborator)
TEKES, Data to Intelligence – D2I, 1/2015-3/2015 (postdoc)
EU-FP7, Intelligent Management Platform for Advanced Real-Time media processes – IMPART, 12/2012-12/2014 (researcher and postdoc)
EU-FP7, 3DTV Content Search – 3DTVS, 11/2013-12/2013 (postdoc)
EU-FP7, An Integrated Intelligent Home Environment for the Provision of Health, Nutrition & Mobility Services for the Elderly – MOBISERV, 11/2010-8/2013 (researcher)
EU-FP7, Intelligent 3D content extraction and manipulation for film and games – i3DPost, 2/2010-10/2010 (researcher)
EU-FP6, Autonomous Collaborative Robots to Swing, Work in Everyday Environment – ACROBOTER, 9/2008-1/2010 (research assistant)