A
PROFILE
UPM's Staff Profile
DR. WENDY LING SHIN YIE
PENSYARAH KANAN
FACULTY OF SCIENCE
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BM
EN

PROFESSIONAL

NAME :
(Dr.) Wendy Ling Shin Yie
POSITION :
Pensyarah Kanan
ENTITY :
Faculty Of Science

EDUCATIONAL BACKGROUND
2013
PhD (UKM Bangi)
WORKING EXPERIENCE
2015
UCTS Sibu Sarawak
SKILL
R programming & LaTex
CONFERENCE / WORKSHOP / SEMINAR
2018
ICMSS; OCA; iFSC
TEACHING
2018
MTH3003, MTH3401, MTH3403
RESEARCH PROJECT
2017
Copula-based multivariate hydrological frequency analysis
RESEARCH INTEREST
2018
Hydrological modelling & financial modelling
PUBLICATION
Shinyie WL, Ismail N (2012) Analysis of t-year return level for partial duration rainfall series. Sains Malaysiana 41(11): 1389-1401.

Shinyie WL, Ismail N, Jemain AA (2013) Semi-parametric estimation for selecting optimal threshold of extreme rainfall events. Water Resources Management 27(7): 2325-2352.

Shinyie WL, Ismail N, Jemain AA (2014) Semi-parametric estimation based on second order parameter for selecting optimal threshold of extreme rainfall events. Water Resources Management 28(11): 3489-3514.

Zin WZW, Safari MAM, Jaaman SH, Yie WLS (2014) Probability distribution of extreme share returns in Malaysia. AIP Conference Proceedings 1613, 325; doi: 10.1063/1.4894357

Zin WZW, Shinyie WL, Jemain AA (2015) Modelling of extreme rainfall events in Peninsular Malaysia based on annual maximum and partial duration series. AIP Conference Proceedings 1643, 312; doi: 10.1063/1.4907461

Chuan ZL, Ismail N, Shinyie WL, Ken TL, Fam S-F, Senawi A, Yusoff WNSW (2018) The efficiency of average linkage hierarchical clustering algorithm associated multi-scale bootstrap resampling in identifying homogeneous precipitation catchments. IOP Conference Series: Materials Science and Engineering 342(1), 072070.