pensyarah universiti
pusat kajian teknologi kecerdasan buatan (cait)
ridzwanyaakub@ukm.edu.my
Biografi/ Biography :
An Associate Professor at the Center for Artificial Intelligence and Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (FTSM, UKM). His expertise is Sentiment Analysis/Opinion Mining, and Online Social Networks Analysis. The Head Researcher at Sentiment Analysis Lab, CAIT. In administration, his role is Deputy Dean, Industrial & Community Partnerships Affairs at the Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM).
In research, he already involved with more than 22 projects which 12 are still active until now. At this moment, he lead three research projects from diffirent funder such as Regional Cluster for Research and Publication (RCRP) and Fundamental Research Grant Scheme (FRGS). His current researches are mostly in Sentiment Analysis and Social Network Analysis. He also has 10 collaboration grants from various organisation in Malaysia.
adlil aizat ismail, maria abu bakar, azman jalar, mohd ridzwan yaakub, muhammad iqbal abu latiffi, erwan basiron, muhammad nizam ilias. (2025). artificial neural networks analysis for predicting gold diffusion in solder joints under various rework and thermal cycling. - proceedings of the green materials and electronic packaging interconnect technology symposium. 10 - 17.
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.
suhaib kh. hamed, mohd juzaiddin ab aziz, mohd ridzwan yaakub. (2025). a data augmentation approach based on various gan models to address class imbalance in fine-grained multimodal fake news datasets. - computing. 1 - 48.
yan yee yip, mohd ridzwan yaakub, mohd makmor-bakry, muhammad iqbal abu latiffi, wei wen chong. (2025). exploring social media posts on lifestyle behaviors: sentiment and content analysis. - jmir infodemiology. 1 - 16.
suhaib kh. hamed; mohd juzaiddin ab aziz, mohd ridzwan yaakub. (2024). enhanced feature representation for multimodal fake news detection using localized fine-tuning of improved bert and vgg-19 models. - arabian journal for science and engineering. 0 - 0.
suhaib kh. hamed, mohd juzaiddin ab aziz, mohd ridzwan yaakub. (2025). a data augmentation approach based on various gan models to address class imbalance in fine-grained multimodal fake news datasets. - computing. 1 - 48.
suhaib kh. hamed; mohd juzaiddin ab aziz; mohd ridzwan yaakub. (2024). improving data fusion for fake news detection: a hybrid fusion approach for unimodal and multimodal data . - ieee access. 112412 - 112425.
md ahsan ul hasan, azuraliza abu bakar, mohd ridzwan yaakub. (2024). measuring user influence in real-time on twitter using behavioural features. - physica a: statistical mechanics and its applications. 1-21.
makera moayad aziz, azuraliza abu bakar, mohd ridzwan yaakub . (2024). corenlp dependency parsing and pattern identification for enhanced opinion mining in aspect-based sentiment analysis. - journal of king saud university - computer and information sciences. 1-20.
makera moayad aziz, mohd ridzwan yaakub, & azuraliza abu bakar. (2024). incorporating syntax information into attention mechanism vector for improved aspect-based opinion mining. - neural computing and applications. 1-18.
suhaib kh. hamed, mohd juzaiddin ab aziz, mohd ridzwan yaakub. (2023). disinformation detection about islamic issues on social media using deep learning techniques. - malaysian journal of computer science. 242-270.
amin mahmoudi, mohd ridzwan yaakub and azuraliza abu bakar. (2020). a new real-time link prediction method based on user community changes in online social networks. - the computer journal. 448-459.
siti rohaidah ahmad, azuraliza abu bakar, mohd ridzwan yaakub. (2019). a review of feature selection in sentiment analysis. - intelligent data analysis. 159-189.
siti rohaidah ahmad, azuraliza abu bakar, mohd ridzwan yaakub. (2019). ant colony optimization for text feature selection in sentiment analysis. - intelligent data analysis. 133-158.
amin mahmoudi, mohd ridzwan yaakub and azuraliza abu bakar. (2018). new time-based model to identify the influential users in online social networks. - data technologies and applications. 1-13.
yan yee yip, mohd ridzwan yaakub, mohd makmor-bakry, muhammad iqbal abu latiffi, wei wen chong. (2025). exploring social media posts on lifestyle behaviors: sentiment and content analysis. - jmir infodemiology. 1 - 16.
suhaib kh. hamed, mohd juzaiddin ab aziz, mohd ridzwan yaakub. (2025). a data augmentation approach based on various gan models to address class imbalance in fine-grained multimodal fake news datasets. - computing. 1 - 48.
makera moayad aziz, mohd ridzwan yaakub, & azuraliza abu bakar. (2024). incorporating syntax information into attention mechanism vector for improved aspect-based opinion mining. - neural computing and applications. 1-18.
suhaib kh. hamed; mohd juzaiddin ab aziz; mohd ridzwan yaakub. (2024). improving data fusion for fake news detection: a hybrid fusion approach for unimodal and multimodal data . - ieee access. 112412 - 112425.
mohammad mashrekul kabir, zulaiha ali othman, and mohd ridzwan yaakub. (2024). a hybrid frequency based, syntax, and conditional random field method for implicit and explicit aspect extraction. - ieee access. 72361-72373.
adlil aizat ismail, maria abu bakar, azman jalar, mohd ridzwan yaakub, muhammad iqbal abu latiffi, erwan basiron, muhammad nizam ilias. (2025). artificial neural networks analysis for predicting gold diffusion in solder joints under various rework and thermal cycling. - proceedings of the green materials and electronic packaging interconnect technology symposium. 10 - 17.
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.
kabir, mohammad mashrekul; othman, zulaiha ali; yaakub, mohd ridzwan. (2024). enhanced lexicon based hybrid method for slang and punctuation scoring for aspect based sentiment analysis. - proceedings - 6th international conference on electrical engineering and information and communication technology, iceeict 2024. 1418 - 1422.
md ahsan ul hasan, azuraliza abu bakar, mohd ridzwan yaakub. (2024). detecting community through user similarity analysis on twitter. - 2024 18th international conference on ubiquitous information management and communication (imcom). 1-6.
norma mohamad nor, noorihan abdul rahman, mohd ridzwan yaakub, zuriani ahmad zukarnain. (2022). sentiment analysis on depression detection: a review. - intelligent computing, sai 2022. 718-726.
mohd ridzwan yaakub dan mohd khaizur khairuddin. (2021). penerokaan pengetahuan dan analisis ramalan terbitan buku pasport di jabatan imigresen malaysia. - . 219-243.
mohd ridzwan yaakub. (2018). analisis sentimen ke arah data ulasan produk. - . 213-222.
mohd ridzwan yaakub. (2017). analisis sentimen. - . 59-64.
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.
nurhizam safie mohd satar, mohd ridzwan yaakub, nazatul aini abd majid, syaimak abdul shukor, umi asma’ mokhtar, wan fariza paizi@fauzi, noorayisahbe mohd yaacob, yazrina yahya, mohamad adilah mohamad haini, rais imam. (2024). tiga dasawarsa: menjulang ilmu ke langit, mengakar budi ke bumi, menyulam mutu insani. - . .
mohd. nor akmal khalid, masnizah mohd, abdul hadi abd rahman, mohd ridzwan yaakub, elankovan a. sundararajan, kauthar mohd daud. (2024). ceramah kerjasama ukm-jaist. - buletin akses ftsm 2024 . .
tan jing xuan, mohd ridzwan yaakub. (2022). analisis sentimen pilihan raya umum malaysia ke 15 pada sosial media. - pta-ftsm-2022-100. 1-25.
liew set teng, mohd ridzwan yaakub. (2022). model prediktif berasaskan analisis sentimen untuk malaysia pasca covid-19 pembangunan industri pelancongan. - pta-ftsm-2022-126. 1-15.
mohd. nor akmal khalid, masnizah mohd, abdul hadi abd rahman, mohd ridzwan yaakub, elankovan a. sundararajan, kauthar mohd daud. (2024). ceramah kerjasama ukm-jaist. - buletin akses ftsm 2024 . .
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.
mohd ridzwan bin yaakub;azuraliza binti abu bakar;zalinda binti othman. (2023). sentiment based predictive model for malaysia post-covid 19 tourism industry development. - . .
mohd ridzwan yaakub, muhammad iqbal abu latiffi. (2022). public consultation paper (pcp) analysis. - majalah impak the 4th industrial revolution@ukm. 18.