**Sumber data : e-REP.
   Tarikh kemaskini : 21-11-2018
prof. dr. shahrul azman bin mohd noah

pensyarah universiti

pusat penyelidikan teknologi kecerdasan buatan (cait)

No. sambungan :  3743

No. rasmi:
UKM : 03 8921 5555



   Biografi/ Biography :
  • Shahrul Azman Mohd Noah received the BSc with honors in Mathematics from the Universiti Kebangsaan Malaysia in 1992, MSc and PhD degrees in Information Studies from the University of Sheffield, UK, in 1994 and 1998, respectively. He is a professor in the Center for Artificial Intelligence Technology, Universiti Kebangsaan Malaysia and currently heads the Knowledge Technology research group. His research interests include information retrieval and ontology with special emphasis on semantic search and recommender systems. He has published more than 200 research articles in these areas. Prof. Shahrul Azman was also elected as a research fellow at the Institute for Pure and Applied Mathematics (IPAM), UCLA for its Program on Mathematics of Knowledge and Search Engines. He also serves as technical expert assessor for various research grants such as the Multimedia Development Corporation (MDeC) IGS, MSC Multimedia Super Corridor R&D (MGS) and MOSTI Technofund grant schemes. Prof. Shahrul Azman is currently the deputy dean of academic at the Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, members of the International Association for Ontology and its Applications (IAOA) and IEEE Computer Science Society associations.

  • nurul asilah ahmad, arimi fitri mat ludin, suzana shahar, shahrul azman mohd noah, noorlaili mohd tohit.  (2020).  willingness, perceived barriers and motivators in adopting mobile applications for health-related interventions among older adults: a scoping review protocol.  - bmj open.  1-5. 

     

    masita abdul jalil, nurul azarina abd. rahman, noraida hj. ali, shahrul azman mohd noah, noor maizura mohamad noor, fatihah mohd.  (2020).  development of a learning model on software design pattern selection for novice developers.  - iceit 2020: proceedings of the 2020 9th international conference on educational and information technology.  108-113. 

     

    normaslina jamil, shahrul azman mohd noah, masnizah mohd.  (2020).  collaborative item recommendations based on friendship strength in social network.  - international journal of machine learning and computing.  437-443. 

     

    mahyuddin k m nasution, shahrul azman mohd noah.  (2020).  comparison of the social network weight measurements.  - iop conference series: materials science and engineering.  1-7. 

     

    rosmamalmi mat nawi, shahrul azman mohd noah, lailatul qadri zakaria.  (2020).  evaluation of group modelling strategy in model-based collaborative filtering recommendation.  - international journal of machine learning and computing.  330-338. 

     

    nurul asilah ahmad, arimi fitri mat ludin, suzana shahar, shahrul azman mohd noah, noorlaili mohd tohit.  (2020).  willingness, perceived barriers and motivators in adopting mobile applications for health-related interventions among older adults: a scoping review protocol.  - bmj open.  1-5. 

     

    mohamed lubani, shahrul azman mohd noah, rohana mahmud.  (2019).  ontology population: approaches and design aspects.  - journal of information science.  502-515. 

     

    vanoh divya, shahar suzana, rosdinom razali, nazlena mohamad ali, zahara abdul manaf, shahrul azman mohd noah, amrizal muhammad nur.  (2019).  the effectiveness of a web-based health education tool, wesihat 2.0, among older adults: a randomized controlled trial.  - journal of alzheimer's disease.  S255-S270. 

     

    sumaia mohammed al-ghuribi, shahrul azman mohd noah.  (2019).  multi-criteria review-based recommender system - the state of the art.  - ieee access.  9446-9468. 

     

    bassam al-salemi, masri ayob, graham kendall, shahrul azman mohd noah.  (2019).  multi-label arabic text categorization: a benchmark and baseline comparison of multi-label learning algorithms.  - information processing and management. 

     

    shahrul azman mohd noah, nazlena mohamad ali, mohd sabri hasan.  (2018).  penentuan fitur bagi pengekstrakan tajuk berita akhbar bahasa melayu.  - gema online journal of language studies. 

     

    nurkhairizan khairudin, nurfadhlina mohd sharef, shahrul azman mohd noah, norwati mustapha.  (2018).  embedded learning for leveraging multi-aspect in rating prediction of personalized recommendation.  - malaysian journal of computer science. 

     

    shahrul azman mohd noah, nazlena mohamad ali, mohd sabri hasan.  (2018).  penjanaan ringkasan isi utama berita bahasa melayu berdasarkan ciri kata.  - gema online journal language studies. 

     

    yanti idaya aspura mohd khalid, shahrul azman mohd noah.  (2017).  semantic text-based image retrieval with multi-modality ontology and dbpedia.  - the electronic library.  1191-1214. 

     

    shahrul azman mohd noah nazlia omar dan amru yusrin amruddin.  (2015).  evaluation of lexical-based approaches to the semantic similarity of malay sentences.  - journal of quantitative linguistics.  135-156. 

     

    masita abdul jalil, nurul azarina abd. rahman, noraida hj. ali, shahrul azman mohd noah, noor maizura mohamad noor, fatihah mohd.  (2020).  development of a learning model on software design pattern selection for novice developers.  - iceit 2020: proceedings of the 2020 9th international conference on educational and information technology.  108-113. 

     

    mahyuddin k m nasution, shahrul azman mohd noah.  (2020).  comparison of the social network weight measurements.  - iop conference series: materials science and engineering.  1-7. 

     

    mohamed lubani, shahrul azman mohd noah.  (2019).  text relation extraction using sentence-relation semantic similarity.  - multi-disciplinary trends in artificial intelligence 13th international conference, miwai 2019,.  3-14. 

     

    nurul aida osman & shahrul azman mohd noah.  (2018).  sentiment-based model for recommender systems.  - 2018 fourth international conference on information retrieval and knowledge management (camp). 

     

    norlia mohd yusof & shahrul azman mohd noah.  (2017).  semantically enhanced case adaptation for dietary menu recommendation of diabetic patients.  - the 7th joint international semantic technology conference (jist 2017). 

     

    masita abdul jalil, nurul azarina abd. rahman, noraida hj. ali, shahrul azman mohd noah, noor maizura mohamad noor, fatihah mohd.  (2020).  development of a learning model on software design pattern selection for novice developers.  - iceit 2020: proceedings of the 2020 9th international conference on educational and information technology.  108-113. 

     

    mahyuddin k m nasution, shahrul azman mohd noah.  (2020).  comparison of the social network weight measurements.  - iop conference series: materials science and engineering.  1-7. 

     

    mohamed lubani, shahrul azman mohd noah.  (2019).  text relation extraction using sentence-relation semantic similarity.  - multi-disciplinary trends in artificial intelligence 13th international conference, miwai 2019,.  3-14. 

     

    nurul aida osman & shahrul azman mohd noah.  (2018).  sentiment-based model for recommender systems.  - 2018 fourth international conference on information retrieval and knowledge management (camp). 

     

    al-salemi, b., ayob, m., mohd noah, s. a. & ab aziz, m. j..  (2017).  feature selection based on supervised topic modeling for boosting-based multi-label text categorization.  - proceedings of the 2017 6th international conference on electrical engineering and informatics: sustainable society through digital innovation, iceei 2017. 

     

    b.z.halimah, a.azlina, t.m.sembok, i.sufian, shahrul azman m.n.,a.b.azuraliza,a.o.zulaiha,o.nazlia, a.salwani, a.sanep,m.t.hailani, m.z.zaher, j.azizah,m.y.nor faezah,w.o.choo, chew abdullah and b. so.  (2009).  visual informatics: bridging research and practice.  - 288-301. 

     

    abdul razak hamdan, shahrul azman mohd noah, mastura sahak & nurdiyana mohd yassin.  (2017).  penyelidikan komputeran dalam era revolusi industri 4.0.  - 6. 

     

    b.z.halimah, a.azlina, t.m.sembok, i.sufian, shahrul azman m.n.,a.b.azuraliza,a.o.zulaiha,o.nazlia, a.salwani, a.sanep,m.t.hailani, m.z.zaher, j.azizah,m.y.nor faezah,w.o.choo, chew abdullah and b. so.  (2009).  visual informatics: bridging research and practice.  - 288-301. 

     

    aziz deraman, abdul razak hamdan.  (2019).  pembangunan bakat digital.  - 77. 

     

    abdul razak hamdan, shahrul azman mohd noah, mastura sahak & nurdiyana mohd yassin.  (2017).  penyelidikan komputeran dalam era revolusi industri 4.0.  - 223. 

     

    shahrul azman bin mohd noah;nazlia binti omar;shereena binti mohd arif;masnizah binti mohd.  (2018).  sentiment-based model for recommender systems.  -

     

    bassam al-salemi, masri ayob & shahrul azman mohd noah.  (2017).  post-optimized boosting algorithms for multi-label text categorization.  - reactive research for sol. 

     

    mohd zabidin husin, saidah saad and shahrul azman mohd noah.  (2017).  syntactic rule-based approach for extracting concepts from quranic translation text.  - the 2017 6th international conference on electrical engineering and informatics (iceei). 

     

    bassam al-salemi, masri ayob & shahrul azman mohd noah.  (2017).  feature ranking for enhancing boosting-based multi-label text categorization.  - reactive research for sol. 

     

    bassam al-salemi, masri ayob & shahrul azman mohd noah.  (2017).  multi-label arabic text categorization: a benchmark and baseline comparison of multi-label learning algorithms.  - an enhanced superficial m.