Research Area:

• Remote Sensing

• Atmospheric aerosols

• Machine learning

Research Publication:

1. Zaman, N.A.F.K., Kanniah, K.D., Kaskaoutis, D.G. and Latif, M.T., 2024. Improving the Quantification of Fine Particulates (PM2.5) Concentrations in Malaysia using Simplified and Computationally Efficient Models. Journal of Cleaner Production, Impact factor: 11.1 (Q1). – accepted 27 Feb 2024

2. Zaman, N.A.F.K., Kanniah, K.D., Kaskaoutis, D.G. and Latif, M.T., 2021. Evaluation of Machine Learning Models for Estimating PM2. 5 Concentrations across Malaysia. Applied Sciences, 11(16), p.7326. Impact factor: 2.679 (Q2).

3. Kanniah, K. D., Zaman, N. A. F. K., Kaskaoutis, D. G., and Latif, M. T., 2020. COVID-19's impact on the atmospheric environment in the Southeast Asia region. Science of The Total Environment, 139658, Impact factor: 5.589 (Q1).

4. Zaman,N.A.F.K, Kanniah, K.D and Kaskaoutis, D.G., 2017, Estimating Particulate Matter using satellite based aerosol optical depth and meteorological variables in Malaysia, Atmospheric Research, Volume 193, Pages 142–162 Impact factor: 3.778 (Q1).

5. Kanniah, K. D., Kaskaoutis, D. G., San Lim, H., Latif, M. T., Zaman, N. A. F. K., & Liew, J. (2016). Overview of atmospheric aerosol studies in Malaysia: Known and unknown. Atmospheric Research, 182, 302-318.Impact factor: 3.377 (Q1).

6. Zaman, N. A. F. K., Kanniah, K. D., Kaskaoutis, D. G., Fadzil, N. A. M., & Latif, M. T., 2023. Fine Particulate Matters Mapping in the Maritime Region of Malaysia Using Aerosols and Pollutant Gases Derived from Satellite Remote Sensing. In IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 3901-3904). IEEE.

7. Kanniah, K.D. and Zaman, N.A.F.K., 2021. Exploring the Link Between Ground Based PM 2.5 and Remotedly Sensed Aerosols and Gases Data to Map Fine Particulate Matters in Malaysia Using Machine Learning Algorithms. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 7216-7219). IEEE

8. Kanniah, K.D., Zaman, N.A.F.K. and Perumal, K., 2021. Analysis of NO2 Tropospheric Column amount at Airports in Malaysia Before and during COVID-19 Pandemic Using SENTINEL-5P Tropomi Data. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, pp.399-403.

9. Zaman, N.A.F.K. and Kanniah, K.D., 2020. Spatio-temporal assessment of Aerosol Optical Depth from Himawari-8 satellite data over Malaysia. In IOP Conference Series: Earth and Environmental Science (Vol. 540, No. 1, p. 012053). IOP Publishing.

10. Zaman,N.A.F.K. and Kanniah, K.D., 2019, Modelling Particulate Matter in Greater Kuala Lumpur using Generalized Additive Model, International Graduate Conference of Built Environment and Surveying, Volume 1, Pages 370-375.

11. Zaman,N.A.F.K, Kanniah, K.D and Kaskaoutis, D.G., 2018, Satellite Data for Upscalling Air Pollution in Malaysia, IOP Conference series: Earth and Environmental Science, Volume 169, Pages 1–10.

12. Pahrol, M. A., Wan Mahiyuddin, W. R., Shaharudin, R., Mazeli, M. I., Sham, N. M., Shakor, A. S. a. A., Latif,M.T., Sahani, M., Zaman, N.A.F.K., Kanniah, K.D., Mohamed, N., 2019. Assessment of population exposure to PM2.5 and long-term mortality in Malaysia. Paper presented at the The 40th Asian Conference on Remote Sensing (ACRS 2019).

13. Kanniah, K. D., and Zaman, N. A. F. K., 2015. Remote sensing for studying atmospheric aerosols in Malaysia. Remote Sensing of Clouds and the Atmosphere XX, 9640, 207-211.

14. Kanniah, K. D., Zaman, N. A. F. K., Lim, H. Q., and Reba, M. N. M., 2014. Monitoring particulate matters in urban areas in Malaysia using remote sensing and ground-based measurements. In Remote Sensing of Clouds and the Atmosphere XIX; and Optics in Atmospheric Propagation and Adaptive Systems XVII (Vol. 9242, pp. 132-140). SPIE.

Other Publication:

Bookchapter 

1. Kanniah, K.D. and Zaman, N.A.F.K., 2021. Remotely sensed particulate matter estimation in malaysia during the biomass burning season in southeast Asia. In Biomass Burning in South and Southeast Asia (pp. 209-227). CRC Press.  

Award: 

1. Best Presenter Award in 1st International Graduate Conference of Built Environment & Surveying (GBES 2019), 24-25th June 2019, UTM 

Commercialization:

Copyrights:

1. Machine Learning Model for upscalling PM2.5 Concentrations across Malaysia – Kasturi Devi Kanniah and Nurul Amalin Fatihah binti Kamarul Zaman (Jan 2022) (LY2021J06639)

2. Nature Based Solution for Air Pollutant Removal in Cities– by Kasturi Devi Kanniah and Nurul Amalin Fatihah binti Kamarul Zaman (June 2019) (LY2019002141)

3. Estimating Particulate Matter using Satellite Based Aerosol Optical Depth and Meteorological Variables in Malaysia – by Kasturi Devi Kanniah and Nurul Amalin Fatihah binti Kamarul Zaman (Dec 2016) (IP/CR/2016/0706)