Page 81 - AKSES vol3

AKSES PENSY AR AH BARU ADV ANCING KNOWLEDGE FOR SUC CESS FT SM UKM

DR. KAUTHAR MOHD DAUD | k authar.md@uk m.edu .m y DR. NURHIDAYAH BAHAR | nbahar@uk m.edu .m y

Kauthar Mohd Daud was conferred a Ph.D. degree in Computer Science from Nurhidayah Bahar is a Senior Lecturer at the National University of Malaysia,
Universiti Teknologi Malaysia (UTM) in 2019. Before that, she received her Malaysia. She received her Bachelor’s in Information Technology in Software
Bachelor’s and Master’s Degrees in Bioinformatics from Multimedia University Engineering from the University Malaysia Terengganu, Master’s in Information
and Universiti Malaya. After completing her studies, she was appointed as an Technology from the University Technology MARA and PhD from the University
academic fellow in Malaysia-Japan International Institute of Technology (MJIIT), of Malaya. She researches and teaches within the information systems domain
UTM-KL. Currently, she is working as a Senior Lecturer in the Center of Artificial including knowledge management, IT/IS, database and e-commerce. Her
Intelligence Technology, Faculty of Information Science and Technology, current research focuses on knowledge management and the use of technology
Universiti Kebangsaan Malaysia (UKM). She has published several articles in in any sectors of the economy such as education, business, healthcare, retail,
international conferences and journals. Her research interests are artificial and finance to name a few. She has developed an emergent knowledge
intelligence and optimization in metabolic engineering, cancer research, and management framework for healthcare institutions and identify the relevant
image processing. technologies to facilitate the knowledge management practice. She has also
expanded and continued similar studies in other field such as business and
logistics industry. She has conducted several studies using qualitative approach. Particularly, she conducted close to
DR. WANDEEP KAUR A/P RATAN SINGH | w andeep@uk m.edu .m y
100 hundred interviews with professionals from healthcare, accounting field, logistics industry and business enterprise.
Apart from interview, she has vast experience in observing process to gather systematic information or data. She has
Wandeep Kaur a/p Ratan Singh received her PhD degree in opinion mining
(sentiment and emotion analysis) from the Faculty of Computer Science & employed variety data analytic techniques in her studies including first-cycle and second-cycle coding, thematic analysis,
Information Technology, University of Malaya in 2020. She worked in a software content analysis, narrative analysis and discourse analysis. She has been publishing articles in many international and
house designing money laundering detection algorithms for the banking high-ranking journals. Also, she became a reviewer for top Knowledge Management related journals. Apart from that,
industry before pursuing her higher education. Currently, she serves as a senior she is also active in giving talk related to writing a compelling proposal and thesis, career talk in ICT as well as qualitative
lecturer at Universiti Kebangsaan Malaysia (UKM). She has recently received methodology. She has conducted several talks in local and international universities.
the Fundamental Research Grant Scheme (FRGS) 2021 title “An Integrated
Word Embeddings and Semantic Linguistic Features Approach for Electronic
Medical Record Classification”. Her research area of interest lies within the area
of computational linguistics using machine learning techniques focusing on DR. ELAHEH YADEGARIDEHKORDI | e .y adigar i@uk m.edu .m y
analyzing lexical, syntactic, and semantic rules of a language for sentiment and
emotion classification purposes. Elaheh Yadegaridehkordi is currently a senior lecturer in the Center for Software
Technology and Management, Faculty of Information Science and Technology,
National University of Malaysia (UKM). She was awarded a highly competitive
DR. KERK YI WEN | yker k@uk m.edu .m y full PhD scholarship in the field of Information Systems by the Ministry of
Education Malaysia (MOE) (2011-2015). She worked as a Post-Doctoral Research
Kerk Yi Wen received both her Bachelor’s and Master’s degrees in Engineering Fellow at the Faculty of Computer Science and Information Technology,
from Universiti Malaysia Sarawak, Malaysia, in 2014 and 2016, respectively, and University of Malaya (UM). Then she joined Amirkabir University of Technology
PhD degree from Deakin University, Australia in 2020. She is currently a Lecturer as a Post-Doctoral researcher. She is an active member of the Association for
at Faculty of Information Science & Technology, The National University Information Systems (AIS). She has received several awards for her exceptional
of Malaysia, Malaysia. Her research interests include fuzzy systems, risk research and performance. She has been an editorial board member of the
management, machine learning, and data mining. journal, the technical program committee and chairperson of many international

conferences, and reviewer of highly ranked ISI journals and international
conferences. The outcomes of her research have been published in highly ranked leading scientific journals and
international conferences. Her research interests are Information Technology, Information Systems, green and
sustainability, big data analytics, cloud computing, educational technology, tourism management, health Information
Systems, Internet of Things, recommender systems, etc.