Our R&D AI Projects

For over 20 years, the members of HAIKAI have been actively engaged in significant European research and development projects.

Our current R&D AI Projects

In the last decade, our experts have participated in and led crucial European R&D projects focused on AI in complex domains. This extensive experience in cutting-edge research is translated into our consulting services, allowing us to share our knowledge with society.

Our current R&D projects

PRIAM

Planning Regional-Scale Multimodal Operations for Innovative Air Mobility Services

PRIAM aims to develop a data analytics and modelling toolset that supports a passenger-centric integration of Integrated Air Mobility (IAM)  into multimodal regional transport networks across Europe. PRIAM takes a holistic approach to IAM, covering several aircraft types (e.g., VTOL, STOL), associated operational sites (e.g., vertiports, regional airports) and business models (e.g., scheduled, on-demand).

Di-HYDRO

Digitize the maintenance and operation of hydroelectric power (HP) plants and clusters using innovative sensor technologies, data transparency, and safety measures

This project is focused on the digital transition of Hydro Power plants, aiming to enhance operational efficiency, environmental sustainability, and decision-making processes. By leveraging innovative sensor technology and advanced data modelling, the project seeks to modernise HP plant operations and support decision-making in power markets.

PRIAM

Planning Regional-Scale Multimodal Operations for Innovative Air Mobility Services

PRIAM aims to develop a data analytics and modelling toolset that supports a passenger-centric integration of Integrated Air Mobility (IAM)  into multimodal regional transport networks across Europe. PRIAM takes a holistic approach to IAM, covering several aircraft types (e.g., VTOL, STOL), associated operational sites (e.g., vertiports, regional airports) and business models (e.g., scheduled, on-demand).

Di-HYDRO

Digitize the maintenance and operation of hydroelectric power (HP) plants and clusters using innovative sensor technologies, data transparency, and safety measures

This project is focused on the digital transition of Hydro Power plants, aiming to enhance operational efficiency, environmental sustainability, and decision-making processes. By leveraging innovative sensor technology and advanced data modelling, the project seeks to modernise HP plant operations and support decision-making in power markets.

PRIAM – Planning Regional-Scale Multimodal Operations

for Innovative Air Mobility Services

PRIAM aims to develop a data analytics and modelling toolset that supports a passenger-centric integration of Integrated Air Mobility (IAM)  into multimodal regional transport networks across Europe. PRIAM takes a holistic approach to IAM, covering several aircraft types (e.g., VTOL, STOL), associated operational sites (e.g., vertiports, regional airports) and business models (e.g., scheduled, on-demand).

Project impacts

Define

an impact assessment framework for regional IAM services that evaluates how different IAM vehicular concepts and business models address regional connectivity challenges and passenger needs.

Develop and validate

a concept outline for PRIAM, consisting of a data analytics and modelling SESAR Solution for planning the integration of IAM infrastructure and services into regional multimodal transport networks.

Evaluate

the capabilities of PRIAM through a set of case studies in European regions that show how the PRIAM Solution can help IAM regional-scale services improve passenger experience, capacity, environmental sustainability, and operational and cost efficiency.

Derive

a set of recommendations for implementing regional IAM services, based on a cost-benefit analysis that anticipates the impacts of a large-scale deployment of IAM services across Europe.

PRIAM – Planning Regional-Scale Multimodal Operations for Innovative Air Mobility Services

PRIAM aims to develop a data analytics and modelling toolset that supports a passenger-centric integration of Integrated Air Mobility (IAM)  into multimodal regional transport networks across Europe. PRIAM takes a holistic approach to IAM, covering several aircraft types (e.g., VTOL, STOL), associated operational sites (e.g., vertiports, regional airports) and business models (e.g., scheduled, on-demand).

Project objectives

Define

an impact assessment framework for regional IAM services that evaluates how different IAM vehicular concepts and business models address regional connectivity challenges and passenger needs.

Develop and validate

a concept outline for PRIAM, consisting of a data analytics and modelling SESAR Solution for planning the integration of IAM infrastructure and services into regional multimodal transport networks.

Evaluate

the capabilities of PRIAM through a set of case studies in European regions that show how the PRIAM Solution can help IAM regional-scale services improve passenger experience, capacity, environmental sustainability, and operational and cost efficiency.

Derive

a set of recommendations for implementing regional IAM services, based on a cost-benefit analysis that anticipates the impacts of a large-scale deployment of IAM services across Europe.

HAIKAI’s role in the project:

In the project, HAIKAI is in charge of developing and applying an AI algorithm to understand the factors that may affect IAM acceptance by different target users. The method will take as input passenger surveys and compute the User Propensity Level (i.e., the degree of willingness and interest to use the future system) and the Service Adoption Level (i.e., the measure of the preparedness and timing to engage with the service). Machine and statistical learning will be applied to cluster target users and generate groups based on the level of acceptance and propensity to use.

Project Outcomes:

The PRIAM Solution will help understand passenger needs for regional travel, anticipate IAM adoption and use patterns, plan resilient IAM infrastructure networks that are seamlessly connected with other transport modes and optimise IAM service performance taking advantage of multimodal data sharing and passenger information systems.

Di-HYDRO – Digitize the maintenance and operation of hydroelectric power (HP) plants and clusters using innovative sensor technologies, data transparency, and safety measures

This project is focused on the digital transition of Hydro Power plants, aiming to enhance operational efficiency, environmental sustainability, and decision-making processes. By leveraging innovative sensor technology and advanced data modelling, the project seeks to modernise HP plant operations and support decision-making in power markets.

Project Impacts

Develop

sensor units for continuous machinery monitoring, biofouling prevention, and environmental impact assessment.

Implement

the Di-Hydro Decision Making Platform, utilising the NGSI-LD data format to streamline and optimise HP plant operations.

Support

decision-making in power markets by providing accurate and timely data-driven insights.

Assess

the socio-economic and environmental impacts of the digital transition, with the goal of optimising system operation and reducing CO2 emissions.

Di-HYDRO – Digitize the maintenance and operation of hydroelectric power (HP) plants and clusters using innovative sensor technologies, data transparency, and safety measures

This project is focused on the digital transition of Hydro Power plants, aiming to enhance operational efficiency, environmental sustainability, and decision-making processes. By leveraging innovative sensor technology and advanced data modelling, the project seeks to modernise HP plant operations and support decision-making in power markets.

Project objectives

Develop

sensor units for continuous machinery monitoring, biofouling prevention, and environmental impact assessment.

Implement

the Di-Hydro Decision Making Platform, utilising the NGSI-LD data format to streamline and optimise HP plant operations.

Support

decision-making in power markets by providing accurate and timely data-driven insights.

Assess

the socio-economic and environmental impacts of the digital transition, with the goal of optimising system operation and reducing CO2 emissions.

HAIKAI’s role in the project:

HAIKAI supports the definition of use-cases based on the digitization level of the Hydro Power plants and assists in outlining the Digital Twin requirements. HAIKAI also helps to define the requirements for the suite of modelling tools, focusing on usability and adoption and participates in the implementation of such modelling tools.

Project Outcomes:

There are several expected outcomes (EO). EO1 advances the European scientific base to support energy policy, with concrete evidence. EO2 increases technological competitiveness in the energy sector, improving decision-making in modern energy markets. EO3 facilitates market penetration and predictability of existing hydroelectric power. EO4 improves the environmental and socio-economic sustainability of the existing hydroelectric fleet. These expected results will contribute to strengthening European global leadership in the renewable energy sector, ensuring cost-effective and sustainable energy production for producers, consumers, and infrastructure. Furthermore, they aim to diversify the portfolio of renewable services and technologies and improve environmental and socio-economic sustainability.