Wan Aezwani Bt Wan Abu Bakar

Country: Malaysia

Education: PhD or Doctorate

Affiliation: Universiti Sultan Zainal Abidin

Domain of Research: Intelligent Systems,Artificial Intelligence,Software Engineering and Quality,Artificial Intelligence,Artificial Neural Networks,Data Mining,Data Retrieval and Data Mining,Internet of Things,Machine Learning

Biography: Wan Aezwani Bt Wan Abu Bakar received her PhD in Computer Science at Universiti Malaysia Terengganu (UMT) Terengganu in Nov, 2016. Her focus area is in association rule in frequent itemset mining. She received her master’s degree in Master of Science (Computer Science) from Universiti Teknologi Malaysia (UTM) Skudai, Johor in 2000 prior to finishing her study in Bachelor’s degree also in the same stream from Universiti Putra Malaysia (UPM) Serdang, Selangor in 1998. Her master’s research was formerly on Fingerprint Image Segmentation in the stream of Image Processing. Currently joins UniSZA under Faculty of Informatics & Computing, Besut Campus, Terengganu since 01 January 2018. She led 2 DPU grants with total of 40K AND 1 FRGS grant with 70k in total. Her research involvement is mostly on setting the water based sensor in Aedes Mosquito Home System named as Intelligent Mosquito Home Systems (i-MHS) as well as on the ECLAT miner.