Martha A Zaidan
Research at the intersection of AI and environmental science is made possible through the generous support of various national and international organizations. Over the years, approximately €2.5M in research funding has been granted to support these initiatives. This section highlights the fellowships and grants that sustain this work, the professional recognitions received from the academic community, and the research stories featured in the media.
The following projects and positions have been supported by competitive grants and fellowships. This support, provided by the Research Council of Finland, the European Commission, and industrial partners, has been instrumental in providing the resources necessary to explore complex sensing challenges.
Academy Research Fellowship (PI) totaling of €937,803 (€656,464 funded by the Research Council of Finland + €281,339 by the University of Helsinki).
FunSNM (co-PI) research grant, funded by the European Metrology (EuraMet) (€110,000 out of €2,589,828 in collaboration with VTT Mikes et al.).
EduSense research grant (co-PI), funded by Business Finland (BF) (€99,650)
IdealSens research grant (Lead of AI unit), funded by Business Finland (BF) (€699,668 out of a total of €799,668)
HIIT/FCAI Support (PI) for the Helsinki Area ICT Research Community (≈€30,000).
Finnish Doctoral Program Network in Artificial Intelligence pilot funded by the Ministry of Culture and Education in Finland for financing the salary of a Doctoral Researcher (≈€100,000).
HIIT Fellowship, funded by Helsinki Institute for Information Technology (HIIT) - (Total of €82,800 : €27,600 half annual salary for 3 years).
Professional travel grant ($500) for participating “10th International Aerosol Conference 2018”, in St. Louis, Missouri, USA.
Aalto Science Fellowship (Total of €101,200 : €45,600 annual salary + €5,000 per year for 2 years), funded by Aalto Science Institute (AScI) and Centre of Excellence in Computational Nanoscience (COMP), Aalto University, Finland.
Dorothy Hodgkin Postgraduate Award (DHPA) (£90,000 for 3 years), by Rolls-Royce plc and Engineering & Physical Sciences Research Council (EPSRC) for pursuing research in the field of Prognostics Health Monitoring (PHM) of aerospace gas turbine engines in Rolls-Royce UTC, in Dept. of Automatic Control & Systems Engineering at the University of Sheffield, 2010-2014.
Academic growth and community standing are reflected in these professional milestones. These include the attainment of the Docent title (Adjunct Professor) and the elevation to Senior Member within the IEEE. Such recognitions are valued as markers of sustained contribution to the research community.
Elevated to be a Senior Member of Institute of Electrical and Electronics Engineers (2023).
Obtained a Docent title in Atmospheric & Environmental Data Sciences (2020)
The best paper nomination on "Bayesian framework for aerospace gas turbine engine prognostics" published in IEEE Aerospace conference, among contributions from all Rolls-Royce UTC across the world for "UTC Best Paper Prize", 2013.
Awarded travel grant under The UK India Education & Research Initiative (UKIERI) grant for participating “International postgraduate workshop on health monitoring systems & multi-criteria optimization” at India Institute of Technology (IIT) Kanpur, India, 2012.
Dorothy Hodgkin Postgraduate Award (DHPA) by Rolls-Royce plc and EPSRC.
First class with Distinction in both MSc(Eng) and BEng degrees.
Best Graduate in Engineering 2007 by Trisakti University, Indonesia.
Research outcomes are occasionally featured in university news and international science media to highlight their potential real-world impact. These features, ranging from university press releases to international science blogs, help communicate technical findings to a broader audience across the global scientific community.
The EduSense research activity was featured in the media of University of Helsinki (UH news).
My activity about Helsinki - Nanjing collaboration was highlighted in Pan Eurasian Experiment (PEEX) blog.
The paper titled: "Intelligent Calibration and Virtual Sensing for Integrated Low-Cost Air Quality Sensors" published in IEEE Sensors journal, was featured in the media of University of Helsinki (UH news), Finnish Meteorological Institute (FMI news), Good News from Finland and Clarity Co. (News).
My research activities about "Data mining and machine learning to enhance data analysis for atmospheric science research" was featured in Pan Eurasian Experiment (PEEX) blog.
The paper titled: "Exploring nonlinear associations between atmospheric new-particle formation and ambient variables: an information theoretic approach" published in Atmospheric Chemistry and Physics, was featured in several media including Eurealert! (American Association for the Advancement of Science- AAAS), Kanazawa University press release (Japan), phys.org and sciencedaily.com.