prof. madya dr. shahnorbanun binti sahran

pensyarah universiti

pusat kajian teknologi kecerdasan buatan (cait)



   Biografi/ Biography :

  • Seorang graduan Doktor Falsafah dalam bidang Sistem Kawalan Cerdas (Intelligent Control System) darpada University of Cardiff Wales pada tahun 2007. Mendapat bimbingan daripada seorang Guru yang hebat iaitu Prof Duc Truong Pham. Bidang yang beliau pilih ini adalah kesinambungan daripada Sarjana Sains dalam bidang Kualiti dan Produktiviti daripada Universiti Kebangsaan Malaysia pada tahun 1995. Di sini beliau mendapat bimbingan daripada seorang Guru yang hebat iaitu Prof Mokhtar Abdullah. Pada tahun 1994, beliau diijazahkan sarjana Muda sains untuk Statistik daripada Universiti Kebangsaan Malaysia. Beliau mula berkhidmat di Universiti Kebangsaan Malaysia pada tahun 1997 sehingga kini. Beliau pernah menjawat jawatan Pengerusi Pusat Penyelidikan Teknologi Kecerdasan Buatan (CAIT) dari tahun 2013-2019.

  • 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. 

     

    azizi bin abdullah;shahnorbanun binti sahran;afzan binti adam;nor samsiah binti sani.  (2024).  ensemble of convolutional neural networks using multiple heterogeneous filter models for image classification..  -

     

    ravie chandren a/l muniyandi;shahnorbanun binti sahran.  (2024).  deep learning with spiking neural p system for effective diagnosis and efficient predictions of learning pattern in autism spectrum disorder.  -

     

    nur izzati mohd talib, nazatul aini abd majid dan shahnorbanun sahran.  (2023).  identification of student behavioral patterns in higher education using k-means clustering and support vector machine.  - applied sciences.  1-14. 

     

    nahla shatnawi, shahnorbanun sahran, mohamad faidzul nasrudin.  (2023).  intelligent production and manufacturing optimisation the bees algorithm approach.  - 17. 

     

    nur izzati mohd talib, nazatul aini abd majid dan shahnorbanun sahran.  (2023).  identification of student behavioral patterns in higher education using k-means clustering and support vector machine.  - applied sciences.  1-14. 

     

    nur aishah ab razak and shahnorbanun sahran.  (2023).  lightweight micro-expression recognition on composite database.  - applied sciences.  1-14. 

     

    noor atika azit, shahnorbanun sahran , voon meng leow , maniseka subramaniam, suryati mokhtar, azmawati mohammed nawi.  (2022).  prediction of hepatocellular carcinoma risk in patients with type-2 diabetes using supervised machine learning classification model.  - heliyon.  1-11. 

     

    ashwaq qasem, siti norul huda sheikh abdullah, shahnorbanun sahran, dheeb albashish, shidrokh goudarzi, shantini arasaratnam.  (2022).  an improved ensemble pruning for mammogram classification using modified bees algorithm.  - neural computing and applications.  10093-10116. 

     

    xuanzhi liao, shahnorbanun sahran, azizi abdullah and syaimak abdul shukor.  (2022).  adacb: an adaptive gradient method with convergence range bound of learning rate.  - applied sciences.  9389-9404. 

     

    noor atika azit, shahnorbanun sahran, leow voon meng , manisekar k. subramaniam, suryati mokhtar, azmawati mohammed nawi.  (2022).  the survival outcomes and prognostic factors of hepatocellular carcinoma among type 2 diabetes patients a two-centre retrospective cohort study.  - turkish journal of medical sciences.  1580-1590. 

     

    amjed basil abdulkareem, nor samsiah sani, shahnorbanun sahran, zaid abdi alkareem alyessari, afzan adam, abdul hadi abd rahman, abdulkarem basil abdulkarem.  (2021).  predicting covid-19 based on environmental factors with machine learning.  - intelligent automation and soft computing.  305-320. 

     

    shahnorbanun sahran.  (2021).  the utility of artificial intelligence in diagnostic pathology.  - malaysia journal of pathology.  115. 

     

    afzan adam, shahnorbanun sahran, siti nurul huda sheikh abdullah, goh jee yuan, suria hayati md pauzi, nordashima abd shukor.  (2021).  the user interface evaluation of integrated cancer diagnosing system.  - malaysian journal of pathology.  137. 

     

    md. mokhlesur rahman, opeyemi lateef usman, ravie chandren muniyandi, shahnorbanun sahran, suziyani mohamed and rogayah a razak.  (2020).  a review of machine learning methods of feature selection and classification for autism spectrum disorder.  - brain sciences.  1-22. 

     

    nur izzati mohd talib, nazatul aini abd majid dan shahnorbanun sahran.  (2023).  identification of student behavioral patterns in higher education using k-means clustering and support vector machine.  - applied sciences.  1-14. 

     

    nur aishah ab razak and shahnorbanun sahran.  (2023).  lightweight micro-expression recognition on composite database.  - applied sciences.  1-14. 

     

    noor atika azit, shahnorbanun sahran, leow voon meng , manisekar k. subramaniam, suryati mokhtar, azmawati mohammed nawi.  (2022).  the survival outcomes and prognostic factors of hepatocellular carcinoma among type 2 diabetes patients a two-centre retrospective cohort study.  - turkish journal of medical sciences.  1580-1590. 

     

    noor atika azit, shahnorbanun sahran , voon meng leow , maniseka subramaniam, suryati mokhtar, azmawati mohammed nawi.  (2022).  prediction of hepatocellular carcinoma risk in patients with type-2 diabetes using supervised machine learning classification model.  - heliyon.  1-11. 

     

    xuanzhi liao, shahnorbanun sahran, azizi abdullah and syaimak abdul shukor.  (2022).  adacb: an adaptive gradient method with convergence range bound of learning rate.  - applied sciences.  9389-9404. 

     

    wan noor aziezan baharuddin , siti norul huda sheikh abdullah , shahnorbanun sahran, ashwaq qasem, and azizi bin abdullah, rizuana iqbal, fuad ismail.  (2016).  type 2 fuzzy logic for mammogram breast tissue classification.  - 2016 international conference on industrial informatics and computer systems (ciics). 

     

    kahwaji a., arshad h., sahran s., garba a.g., hussain r.i..  (2016).  hexagonal microstrip antenna simulation for breast cancer detection.  - 2016 international conference on industrial informatics and computer systems, ciics 2016.  1-4. 

     

    mohammed omar salameh ; azizi abdullah ; shahnorbanun sahran.  (2016).  ensemble of vector and binary descriptor for loop closure detection.  - the 4th international conference on robot intelligence technology and applications, bucheon south korea.  329-340. 

     

    suri mawarne kaidar, rizuana iqbal hussain, farah aqilah bohani, shahnorbanun sahran, nurnaima binti zainuddin, fuad ismail, jegan thanabalan, ganesh kalimuthu, and siti norul huda sheikh abdullah.  (2013).  brain tumor treatment advisory system.  - communications in computer and information science (ccis) - soft computing applications and intelligent systems : 2nd international multi-conference on artificial intelligence technology (m-cait 2013). 

     

    shahrul azman noah, azizi abdullah, haslina arshad, azuraliza abu bakar, zulaiha ali othman, shahnorbanum sahran, nazlia omar, zalinda othman.  (2013).  soft computing applications and intelligent systems : communications in computer and information science (ccis).  - communications in computer and information science (ccis) - soft computing applications and intelligent systems : 2nd international multi-conference on artificial intelligence technology (m-cait 2013). 

     

    nahla shatnawi, shahnorbanun sahran, mohamad faidzul nasrudin.  (2023).  intelligent production and manufacturing optimisation the bees algorithm approach.  - 17. 

     

    farshid pirahansiah, shahnorbanun sahran, and siti norul huda sheikh abdullah.  (2022).  control engineering in robotics and industrial automation.  - 18. 

     

    syaimak abdul shukor, feybi ariani goni, shahnorbanun sahran, muriati mukhtar.  (2021).  kampus digital: ke arah kampus yang lestari.  - 17. 

     

    mansour esmaeilpour, shahnorbanun sahran, zarina shukur.  (2021).  cadar: a knowledge analysis application using cellular learning automata and distributed learning automata.  - 113. 

     

    shahnorbanun sahran, ashwaq qasem, khairuddin omar, dheeb albashih, afzan adam, siti norul huda sheikh abdullah, azizi abdullah, rizuana iqbal hussain, fuad ismail, norlia abdullah, suria hayati md pauzi, nurdashima abd shukor.  (2018).  breast cancer and surgery.  - 19. 

     

    nahla shatnawi, shahnorbanun sahran, mohamad faidzul nasrudin.  (2023).  intelligent production and manufacturing optimisation the bees algorithm approach.  - 17. 

     

    farshid pirahansiah, shahnorbanun sahran, and siti norul huda sheikh abdullah.  (2022).  control engineering in robotics and industrial automation.  - 18. 

     

    syaimak abdul shukor, feybi ariani goni, shahnorbanun sahran, muriati mukhtar.  (2021).  kampus digital: ke arah kampus yang lestari.  - 17. 

     

    shahnorbanun sahran, ashwaq qasem, khairuddin omar, dheeb albashih, afzan adam, siti norul huda sheikh abdullah, azizi abdullah, rizuana iqbal hussain, fuad ismail, norlia abdullah, suria hayati md pauzi, nurdashima abd shukor.  (2018).  breast cancer and surgery.  - 19. 

     

    afzan adam & shahnorbanun sahran.  (2017).  penyelidikan komputeran dalam era revolusi industri 4.0.  - 8. 

     

    mansour esmaeilpour, shahnorbanun sahran, zarina shukur.  (2021).  cadar: a knowledge analysis application using cellular learning automata and distributed learning automata.  - 113. 

     

    siti norul huda sheikh abdullah, shahnorbanun sahran, anton satria prabuwono.  (2013).  pengecaman pola teori dan aplikasi.  - 327. 

     

    azizi bin abdullah;shahnorbanun binti sahran;afzan binti adam;nor samsiah binti sani.  (2024).  ensemble of convolutional neural networks using multiple heterogeneous filter models for image classification..  -

     

    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. 

     

    ravie chandren a/l muniyandi;shahnorbanun binti sahran.  (2024).  deep learning with spiking neural p system for effective diagnosis and efficient predictions of learning pattern in autism spectrum disorder.  -

     

    nor samsiah binti sani;azizi bin abdullah;shahnorbanun binti sahran;afzan binti adam.  (2023).  adaptive load balancing task based on genetic programming in mapreduce for parallel computing .  -

     

    afzan binti adam;md jan bin nordin;shahnorbanun binti sahran;raja zahratul azma raja sabudin;suria hayati binti md pauzi.  (2023).  dynamic compression method based on lossless and reversible decoder for high resolution images..  -