Martha Arbayani Bin Zaidan
Research Scientist / Research Associate Professor
www.marthazaidan.com
martha.zaidan@nju.edu.cn
martha.zaidan@helsinki.fi
+86-15952031686
Professional Title
| Sept 2020 | Docent/Adjunct Professor in Atmospheric and Environmental Data Sciences, University of Helsinki, Finland |
Education
| Mar 2014 | Ph.D. in Automatic Control and Systems Engineering, University of Sheffield, UK |
| Nov 2009 | MSc. (Eng.) in Control Systems, University of Sheffield, UK |
| Mar 2007 | B.Eng. in Electrical Engineering, Trisakti University, Indonesia |
Work Experience
| Feb 2021 - present | Research Associate Professor, Joint International research Laboratory of Atmospheric and Earth System Sciences, Nanjing University, China |
| Sept 2020 - present | Visiting Researcher, Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Finland |
| Aug 2017 - Aug 2020 | Postdoctoral Researcher, Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Finland |
| Aug 2015 - July 2017 | Research Fellow, Aalto Science Institute and Centre of Excellence in Computational Nanoscience, Aalto University, Finland |
| Feb 2015 - June 2015 | Visiting Faculty, Department of Mechanical and Industrial Engineering, Sultan Qaboos University, Oman |
| June 2014 - Feb 2015 | Research Associate in Centre for Advanced Life Cycle Engineering, University of Maryland at College Park, USA |
Research Interests
| • | Artificial intelligence and data sciences for systems monitoring (atmospheric and environmental sciences as well as engineering systems) |
| • | Sensors calibrations and virtual sensors |
| • | Complex systems modelling and control systems engineering |
Teaching Interests
| • | Environmental data sciences |
| • | Statistical analysis for environmental field measurements |
| • | Engineering systems and control |
Selected Publications
| 1. | M.A. Zaidan, N.H. Motlagh, P.L. Fung, D. Lu, H. Timonen, J. Kuula, Jarkko V. Niemi, S. Tarkoma, T. Petäjä, M. Kulmala, and T. Hussein. Intelligent calibration and virtual sensing for integrated low-cost air quality sensors. IEEE Sensors Journal, 20(22):13638–13652, 2020. |
| 2. | M.A. Zaidan, O. Surakhi, P.L. Fung, and T. Hussein. Sensitivity analysis for predicting sub- micron aerosol concentrations based on meteorological parameters. Sensors, 20(10):2876, 2020. |
| 3. | M.A. Zaidan, D. Wraith, B.E. Boor, and T. Hussein. Bayesian proxy modelling for esti- mating black carbon concentrations using white-box and black-box models. Applied Sciences, 9(22):4976, 2019. |
| 4. | M.A. Zaidan, L. Dada, M.A. Alghamdi, H. Al-Jeelani, H. Lihavainen, A. Hyvärinen, and T. Hussein. Mutual information input selector and probabilistic machine learning utilisation for air pollution proxies. Applied Sciences, 9(20):4475, 2019. |
| 5. | M.A. Zaidan, V. Haapasilta, R. Relan, P. Paasonen, V.-M. Kerminen, H. Junninen, M. Kul- mala, and A. S. Foster. Exploring non-linear associations between atmospheric new-particle formation and ambient variables: a mutual information approach. Atmospheric Chemistry and Physics, 18(17):12699–12714, 2018. |
| 6. | M.A. Zaidan, V. Haapasilta, R. Relan, H. Junninen, P.P. Aalto, M. Kulmala, L. Laurson, and A.S. Foster. Predicting atmospheric particle formation days by Bayesian classification of the time series features. Tellus B: Chemical and Physical Meteorology, 70(1):1–10, 2018. |
| 7. | M.A. Zaidan, F.F. Canova, L. Laurson, and A.S. Foster. Mixture of Clustered Bayesian Neural Networks for modeling friction processes at the nanoscale. Journal of Chemical Theory and Computation, 13:3–8, 2017. |
| 8. | M.A. Zaidan, A.R. Mills, R.F. Harrison, and P.J. Fleming. Gas turbine engine prognostics using Bayesian hierarchical models: a variational approach. Mechanical Systems and Signal Processing, 70–71:120–140, 2016. |
| 9. | M.A. Zaidan, R. Relan, A.R. Mills, and R.F. Harrison. Prognostics of gas turbine engine: An integrated approach. Expert Systems with Applications, 42(22):8472–8483, 2015. |
| 10. | M.A. Zaidan, R.F. Harrison, A.R. Mills, and P.J. Fleming. Bayesian hierarchical models for aerospace gas turbine engine prognostics. Expert Systems with Applications, 42(1):539–553, 2015. |
Honors and Awards
| • | Aalto Science Fellowship, funded by Aalto Science Institute (AScI) and Centre of Excellence in Computational Nanoscience (COMP), Aalto University, Finland. |
| • | Dorothy Hodgkin Postgraduate Award (DHPA) by Rolls-Royce plc and En- gineering & 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. |
| • | First class with distinction in both MSc. (Eng.) and B.Eng. degrees. |
| • | Best Graduate in Engineering 2007 by Trisakti University, Indonesia. |
Professional Services
Members in various scientific organizations, including:
| • | European Geosciences Union (EGU) member (2020 - present) |
| • | Nordic Society for Aerosol Research (NOSA) member (2020 - present) |
| • | Institution of Engineering and Technology (IET) member (2019 - present) |
| • | Finnish Association of Aerosol Research (FAAR) member (2018 - present) |
| • | Institute of Electrical and Electronics Engineers (IEEE) member (2014 - present) |
| • | Institute of Electrical and Electronics Engineers (IEEE) student member (2010 - 2014) |
| • | The Royal Aeronautical Society (RAeS) student member (2010 - 2014) |
Reviewers for various scientific journals, including:
| • | Advances in Engineering Software (Elsevier) |
| • | Aerospace Science and Technology (Elsevier) |
| • | Applied Energy (Elsevier) |
| • | Applied Sciences (MDPI) |
| • | Atmospheric Chemistry and Physics (Copernicus) |
| • | Electronics (MDPI) |
| • | Energies (MDPI) |
| • | Expert Systems with Applications (Elsevier) |
| • | IEEE Transactions on Automation Science and Engineering (IEEE) |
| • | IEEE Transactions on Reliability (IEEE) |
| • | INKOM Journal - Journal of Informatics, Control Systems, and Computers (Indonesian Institute of Sciences) |
| • | International Journal of Advanced Manufacturing Technology (Springer) |
| • | Mechanical Science and Technology (Springer) |
| • | Mechanical Systems and Signal Processing (Elsevier) |
| • | Microelectronics Reliability (Elsevier) |
| • | Neurocomputing (Elsevier) |
| • | Sensors (MDPI) |
Editorial Services
| • | Associate Editor for Journal of Communication in Science and Technology (KIPMI). |
| • | Guest Editor for Special Issue on 'Data Fusion/Assimilation of Low-Cost Sensors for Air Pollution Exposure' in International Journal of Environmental Research and Public Health (MDPI). |
| • | Editor for International Journal of Bio-Inspired Computation (Inderscience Publishers Ltd.) |