Principal Investigator: Martha Arbayani Zaidan
Funder: Academy of Finland Research Fellowship
Budget: € 937,803 (€ 656,464 funded by the Academy of Finland + € 281,339 funded by the University of Helsinki)
Project duration: 01/09/2023 → 31/08/2027
This project will develop and implement Artificial Intelligence (AI) technology to improve the quality of data generated at environmental research stations. The project development and evaluation will be carried out mainly at the Station for Measuring Ecosystem-Atmosphere Relations (SMEAR stations) network nationally and internationally. The outcome of the project will lead to the automation of the SMEAR infrastructure, where scientists' involvement in performing repetitive tasks can be minimized and data quality improved. This will be achieved by AI automation of data quality control and instrument calibration; these time and error-prone tasks are currently performed manually by scientists. The AI implementation will be beneficial on a global scale as the number of research stations grows across the world.
Collaborators: CSC IT for Sciences (Finland), Finnish Meteorological Institute (FMI, Finland), Helsinki Region Environmental Services (HSY, Finland), Purdue University (US), University of Edinburgh (UK), Cyprus Institute (Cyprus), TU Delft (Netherlands), University of Eastern Finland (Kuopio, Finland) and Nanjing University (China).
Principal Investigators: Juha Kangasluoma, Petri Koskinen and Martha Arbayani Zaidan
Funder: Business Finland
Budget: € 699,668 (total funding of € 799,668)
Project duration: 01/01/2025 → 31/08/2026
Project website: IdealSense
IdealSens aims to develop an autonomous, real-time monitoring system to measure air quality, noise, and traffic at construction sites. Our goal is to help cities and construction companies ensure regulatory compliance, improve public health, and drive sustainability.
Collaborators: Microsoft Finland.
Principal Investigators: Juha Kangasluoma, Ilona Södervik, Petri Koskinen and Martha Arbayani Zaidan
Funder: Business Finland
Budget: € 99,650
Project duration: 01/02/2025 → 31/08/2025
Project website: EduSense
EduSense is an innovative, teacher-centric system designed to enhance classroom environments and support teacher well-being through advanced monitoring and analytics. By integrating environmental sensors, physiological monitoring, and artificial intelligence (AI), EduSense provides real-time feedback and actionable insights to the educators. The system empowers teachers to create optimal learning conditions, reduce stress, and improve educational outcomes by leveraging data-driven strategies tailored to their specific classroom dynamics.
Collaborators: Microsoft Finland.
Principal Investigators: Tuukka Petäjä, Tareq Hussein, Martha Arbayani Zaidan
Funder: European Commission Joint Research Centre - European Partnership on Metrology
Budget: € 110,000 (total funding of € 2,589,828)
Project duration: 01/09/2023 → 31/08/2026
Project website: FunSNM
Sensor networks are used in a large number of fields but are struggling with data quality of varying degrees, with unknown measurement uncertainty and lack of traceability to the SI limiting their applicability. To overcome these issues, this project will address the metrological aspects of sensor networks, covering the uncertainty propagation, data quality metrics and SI-traceability in generic sensor networks, as well as the assessment, infrastructure, and risk analysis of distributed sensor networks alongside software frameworks and semantics via automated application of developed methods. The applicability of the methods, tools, and concepts will be demonstrated in typical real-world sensor networks.
Collaborators: VTT (Finland), CMI (Czech Republic), DTI (Denmark), FORCE Technology (Denmark), IPQ (Portugal), LNE (France), METROSERT (Estonia), PTB (Germany), VSL (Netherlands), Airparif (Paris, France), FZ-JUELICH (Germany), NPL (UK), University of Cambridge (UK), VINS (Serbia), CCPI (UK), Random Red (Croatia), Vaisala (Finland), METAS (Switzerland).
Principal Investigators: Tareq Hussein, Tuukka Petäjä and Martha Arbayani Zaidan
Funder: Horizon Europe (HORIZON)
Budget: € 184,975 (total funding of € 2,998,872)
Project duration: 01/09/2025 → 31/08/2028
NextARIE is focused on boosting the interoperability, expanding expertise and providing a more balanced geographical and cross- sectoral circulation of European R&I talents in the field of air quality monitoring, actively involving environmental scientists, experts in hardware and Internet of Things (IoT) and machine learning engineers. The project is centred around a cross-sectoral and cross- country approach, with a strong focus on Widening countries. The training methodology, including 40 planned secondments and numerous collaboration activities, such as buddy systems, workshops, hackathons and ongoing assessment, is expected to drive sensor development and environment-related public health findings.
Collaborators:
Institute for Anthropological Research (Croatia), Lisbon Council (Belgium), Institute for Medical Research and Occupational Health (Croatia), University of Sarajevo (Bosnia & Herzegovina), University of Osijek (Croatia), Ascalia (Croatia), SmartSense (Croatia), Know-Center GmbH (Austria), Croatian Meteorological and Hydrological Service (Croatia), National Centre for Sci. Research – Demokritos (Greece), Diadikasia (Greece), Nacionalinis Fizinių ir technologijos mokslų centras (Lithuania), mSensis S.A. (Greece), MegaSense Oy (Finland) and Vlaamse Instelling voor Technologisch Onderzoek (Belgium).
Principal Investigators: Martha Arbayani Zaidan, Tuomo Nieminen, Sasu Tarkoma
Funder: Helsinki Institute for Information Technology (HIIT)
Budget: ~ € 10,000
Project duration: 01/09/2023 → 30/11/2023
Principal Investigators: Martha Arbayani Zaidan, Jonathan Atherton, Jaana Back, Sasu Tarkoma
Funder: Helsinki Institute for Information Technology (HIIT) and Academy of Finland
Budget: ~ € 20,000
Project duration: 01/09/2023 → 29/02/2024