International team with complementary expertise
The MAHALO team consists of extraordinarily talented partners with complementary expertise. In addition to broad, complementary and overlapping expertise in the areas of AI and ML, human-automation design concepts, HMI development, experimental design, real-time simulations, human performance measurements, and ATM operations, the team also has experience in collaborating with one another, which will leverage their joint research experience.
Deep Blue (DBL) provides consultancy in human factors, safety, dependability and sustainability as well as professional training. DBL specialises in research and consulting on human-centred design and validation in transport, healthcare and environment. Its mission is to help organisations innovate by analysing problems and procedures, designing tailored solutions and validating them in the field. DBL will lead the MAHALO project, and offer their expertise in project management, human factors, validation and scientific dissemination.
Since 2003, Center for Human Performance Research (CHPR) has provided Human Factors and systems engineering services. From aerospace to healthcare to road transport, CHPR is helping to develop the tools, procedures and interfaces of the 21st century. CHPR will contribute its background in adaptive automation, real-time simulation, and ATM operations. CHPR will contribute to operational concept definitions, Machine Learning model validation, and design / analysis activities associated with the planned human-n-the-loop simulations.
Delft University of Technology (Dutch: Technische Universiteit Delft) also known as TU Delft, is the oldest and largest Dutch public technological university. It is located in Delft, Netherlands. It is consistently ranked as the best university in the Netherlands. As of 2020, it is ranked by QS World University Rankings among the top 15 engineering and technology universities in the world. TUD, operating through the Control & Simulation group of the Faculty of Aerospace Engineering, will play a key role in MAHALO by offering their knowledge and expertise in Ecological Interface Design, ATM operations, automation design and human performance, Machine Learning, and data analysis. TUD will be largely responsible for developing and validating the ecological interface, and for developing the Machine Learning models.
Linköping University (in Swedish: Linköpings universitet, LiU) is a public university in Linköping, Sweden. Linköping University was granted full university status in 1975 and is now one of Sweden's larger academic institutions. Operating through the departments of Computer & Information Science and Science & Technology, LiU will bring in their knowledge and expertise in Machine Learning, use and integration of physiological data (e.g., eye tracking). They will contribute to this project by developing the machine learning models, by integrating eye tracking measurement, and by carrying out simulation design, conduct, and analysis in close coordination with TUD.
The Swedish Civil Aviation Administration (Swedish: Luftfartsverket, LFV) is a Swedish Government agency which provides air traffic management and air navigation services at several locations in Sweden and internationally. LFV is involved in developing the European airspace through cooperation in organizations and alliances. LFV develops new services and operational concepts to meet increased demands for safety, capacity and availability. In MAHALO, LFV will contribute its background and expertise in ATM operations, ATM operational concepts, scenario design, and procedures. Through LFV, MAHALO will have access to their extensive international network of ANSPs and air traffic controllers required for the planned human-in-the-loop trials.