pensyarah universiti
pusat kajian teknologi kecerdasan buatan (cait)
zalinda@ukm.edu.my
Biografi/ Biography :
Zalinda Othman received the Bachelor of Technology in Quality Control and Instrumentation from University Science Malaysia, Penang in 1994, and the Master of Science in Quality Engineering, from University of Newcastle upon Tyne, United Kingdom, in 1996. In 2002, she received her Doctor of Philosophy in Artificial Intelligence from University Science Malaysia. She started her teaching career with University Science Malaysia in 2002, and was appointed to University Kebangsaan Malaysia (UKM) in 2006. Her research interest lies in the area of data mining, data analytics and optimization. She has collaborated actively with researchers in several other disciplines such as social sciences and climate change. She has published a significant numbers of papers at international journals and peer-reviewed international conferences. She has served as a programme committee for various international conferences and reviewers for journals. She taught data mining courses for undergraduate and postgraduate programs. She has been a primary and secondary supervisor to PhD and Master students. Currently, she is a Deputy Director at Career Advancement Center, UKM. She is an Associate Professor and Head of Data Mining and Optimization Lab, Faculty of Information Science and Technology, UKM. Also, Malaysian Qualifications Agency (MQA) has appointed her as one of its Panel Assessor and a Global Member of Internet Society Community and International Association of Engineers (IAENG).
najmeh sadat jaddi, salwani abdullah, say leng goh, mohd zakree ahmad nazri, zalinda othman, mohammad kamrul hasan, fatemeh alvankarian. (2025). multi-population kidney-inspired algorithm with migration policy selections for feature selection problems. - ieee access. 6306 - 6320.
syaimak abdul shukor, jia huitang, iqraq kamal, mohd faizzuan mohammad, zalinda othman, shahnorbanun sahran, nor samsiah sani, mohd ridzwan yaakub, and azizi abdullah. (2025). predictive maintenance in aerospace: leveraging machine learning for optimized filter lifespan. - communications in computer and information science2483: first international symposium, sms 2024 johor bahru, malaysia, december 16–17, 2024 proceedings. 87 - 101.
najmeh sadat jaddi, salwani abdullah, zalinda othman, yazrina yahya, mohd zakree ahmad nazri, say leng goh, fatemeh alvankarian, jafar alvankarian. (2025). optimizing heart-kidney interaction for cancer detection through physiological process simulation as a decision support system. - ieee access. 79169 - 79179.
peggy yeo1, azuraliza abu bakar1,,zalinda othman1, mazrura sahani2, suhaila zainudin1, zailiza suli. (2024). the effect of meteorology and air quality to the covid-19 cases in malaysia: a multivariate deep learning approach. - sains malaysiana. 3831 - 3843.
syaimak abdul shukor, zalinda othman, azizi abdullah, shahnorbanun sahran, mohd ridzwan yaakub, kerk yi wen, norsamsiah sani, nuramni ashikin anuar, iqraq kamal, sivadas chandra sekaran, mohd faizzuan mohammad. (2024). penyelenggaraan ramalan - menjamin kualiti terbaik. - buletin akses (advancing knowledge for success), ftsm, ukm. 12-13.
najmeh sadat jaddi, salwani abdullah, say leng goh, mohd zakree ahmad nazri, zalinda othman, mohammad kamrul hasan, fatemeh alvankarian. (2025). multi-population kidney-inspired algorithm with migration policy selections for feature selection problems. - ieee access. 6306 - 6320.
najmeh sadat jaddi, salwani abdullah, zalinda othman, yazrina yahya, mohd zakree ahmad nazri, say leng goh, fatemeh alvankarian, jafar alvankarian. (2025). optimizing heart-kidney interaction for cancer detection through physiological process simulation as a decision support system. - ieee access. 79169 - 79179.
yuanfei wei, zalinda othman, kauthar mohd daud, qifang luo, and yongquan zhou. (2024). advances in slime mould algorithm: a comprehensive survey. - biomimetics. 1-31.
mohammed shantal, zalinda othman and azuraliza abu bakar. (2023). a novel approach for data feature weighting using correlation coefficients and minmax normalization. - symmetry. 1-18.
yuanfei wei, zalinda othman, kauthar mohd daud, shihong yin , qifang luo and yongquan zhou. (2022). equilibrium optimizer and slime mould algorithm with variable neighborhood search for job shop scheduling problem. - mathematics. 1-20.
peggy yeo1, azuraliza abu bakar1,,zalinda othman1, mazrura sahani2, suhaila zainudin1, zailiza suli. (2024). the effect of meteorology and air quality to the covid-19 cases in malaysia: a multivariate deep learning approach. - sains malaysiana. 3831 - 3843.
nurizah abdul hasib, zalinda othman. (2020). assessing the relationship between pollution sources and water quality parameters of sungai langat basin using association rule mining. - sains malaysiana. 2345-2358.
fayyad banihani, salwani abdullah, nor samsiah sani, zalinda othman. (2019). reinitiate great deluge with composite neighbourhood structures for rough set attribute reduction. - international journal of computer science and network security. 165-171.
fatemeh boobord, zalinda othman, and azuraliza abu bakar. (2015). a wk-means approach for clustering. - international arab journal of information technology. 489-493.
kaban, a. k.; othman, z. & rohmah, d. s.. (2012). comparison of dispatching rules in job-shop scheduling problem using simulation: a case study. - international journal of simulation modelling. 11(3):129-140.
najmeh sadat jaddi, salwani abdullah, zalinda othman, yazrina yahya, mohd zakree ahmad nazri, say leng goh, fatemeh alvankarian, jafar alvankarian. (2025). optimizing heart-kidney interaction for cancer detection through physiological process simulation as a decision support system. - ieee access. 79169 - 79179.
najmeh sadat jaddi, salwani abdullah, say leng goh, mohd zakree ahmad nazri, zalinda othman, mohammad kamrul hasan, fatemeh alvankarian. (2025). multi-population kidney-inspired algorithm with migration policy selections for feature selection problems. - ieee access. 6306 - 6320.
yuanfei wei, zalinda othman, kauthar mohd daud, qifang luo, and yongquan zhou. (2024). advances in slime mould algorithm: a comprehensive survey. - biomimetics. 1-31.
mohammed shantal, zalinda othman and azuraliza abu bakar. (2023). a novel approach for data feature weighting using correlation coefficients and minmax normalization. - symmetry. 1-18.
sofian kassaymeh, salwani abdullah, mohammed azmi al-betar, mohammed alweshah, mohamad al-laham, zalinda othman. (2022). self-adaptive salp swarm algorithm for optimization problems. - soft computing. 9349-9368.
syaimak abdul shukor, jia huitang, iqraq kamal, mohd faizzuan mohammad, zalinda othman, shahnorbanun sahran, nor samsiah sani, mohd ridzwan yaakub, and azizi abdullah. (2025). predictive maintenance in aerospace: leveraging machine learning for optimized filter lifespan. - communications in computer and information science2483: first international symposium, sms 2024 johor bahru, malaysia, december 16–17, 2024 proceedings. 87 - 101.
nur suhailayani suhaimi, zalinda othman, and mohd ridzwan yaakub. (2022). comparative analysis between macro and micro-accuracy in imbalance dataset for movie review classification. - proceedings of seventh international congress on information and communication technology icict 2022, london. 83-94.
nur suhailayani suhaimi, zalinda othman, mohd ridzwan yaakub. (2020). analyzing prediction performance between wavelet neural network and product-unit neural network. - journal of physics: conference series. 1-9.
lim zee hin, zalinda othman. (2019). lake chini water level prediction model using classification techniques. - 6th international conference on computational science and technology. 215-226.
muhammad fansuri mohd zahari, and zalinda othman. (2014). a comparison of artificial neural network, double exponential smoothing and expert judgement for customer demand forecasts in pharmaceutical industry : a case study. - proceedings knowledge management international conference (kmice) 2014 / universiti utara malaysia, sintok kedah. 343-347.
azuraliza abu bakar, zalinda othman, suhaila zainuddin. (2021). pendahuluan: sains data dan kesejahteraan rakyat. - . 23-28.
zalinda othman, tan yao xiong, mohd. izwan mahmud, nurul nadia rosli, ishak yussof, chang peng kee. (2021). merungkai faktor kebolehpasaran graduan. - . 165-189.
zalinda othman & ruhaizan ismail. (2018). meneroka corak berjujukan untuk mengukur kadar penggunaan mesin. - . 114-131.
zulaiha ali othman, azuraliza abu bakar, zalinda othman, suzanna rosli. (2009). development of the data preprocessing agent?s knowledge for data mining using rough set theory. - rskt 2009 lncs 5589. 87-93.
syaimak abdul shukor, zalinda othman, azizi abdullah, shahnorbanun sahran, mohd ridzwan yaakub, kerk yi wen, norsamsiah sani, nuramni ashikin anuar, iqraq kamal, sivadas chandra sekaran, mohd faizzuan mohammad. (2024). penyelenggaraan ramalan - menjamin kualiti terbaik. - buletin akses (advancing knowledge for success), ftsm, ukm. 12-13.
ooi teng he, zalinda othman. (2023). ramalan keparahan pesakit covid-19 dengan menggunakan model pembelajaran mesin. - . 1-25.
azuraliza abu bakar, zalinda othman, suhaila zainuddin. (2021). pendahuluan: sains data dan kesejahteraan rakyat. - . 23-28.
zalinda othman, tan yao xiong, mohd. izwan mahmud, nurul nadia rosli, ishak yussof, chang peng kee. (2021). merungkai faktor kebolehpasaran graduan. - . 165-189.
azuraliza abu bakar, zalinda othman, suhaila zainudin. (2021). kajian sains data dalam analitik kesejahteraan rakyat. - . 251.
zalinda binti othman;mohd ridzwan bin yaakub. (2024). modeling adaptive convolution neural network predictor for data stream issues . - . .
syaimak abdul shukor, zalinda othman, azizi abdullah, shahnorbanun sahran, mohd ridzwan yaakub, kerk yi wen, norsamsiah sani, nuramni ashikin anuar, iqraq kamal, sivadas chandra sekaran, mohd faizzuan mohammad. (2024). penyelenggaraan ramalan - menjamin kualiti terbaik. - buletin akses (advancing knowledge for success), ftsm, ukm. 12-13.
ooi teng he, zalinda othman. (2023). ramalan keparahan pesakit covid-19 dengan menggunakan model pembelajaran mesin. - . 1-25.
mohd ridzwan bin yaakub;azuraliza binti abu bakar;zalinda binti othman. (2023). sentiment based predictive model for malaysia post-covid 19 tourism industry development. - . .
nur suhailayani suhaimi, zalinda othman, mohd. ridzwan yaakub. (2021). data stream input filtering by using dynamic framing of convolutional neural network. - data analytics and optimization daos 2021. 109-114.
| Geran / Grant | Kolaborator / Collaborator | Status |
|---|---|---|
| AN ADAPTIVE SWARM INTELLIGENCE ALGORITHM WITH DEEP ARTIFICIAL NEURAL NETWORK-ENABLED PREDICTION FOR AN AMYOTROPHIC LATERAL SCLEROSIS DISEASE PROGRESSION | the university of jordan | 21.1% (2025-04-01 sehingga 2027-03-31) |