prof. madya dr. azizi bin abdullah

pensyarah universiti

pusat kajian teknologi kecerdasan buatan (cait)

No. Telefon Rasmi :  3606

No. rasmi:
UKM : 03 8921 5555



   Biografi/ Biography :

  • AZIZI ABDULLAH obtained the BSc Computer Science from Universiti Kebangsaan Malaysia and completed the MSc in Software Engineering at University of Malaya, Malaysia. He received the PhD Degree from Utrecht University, The Netherlands in 2010. He is currently an Associate Professor in the Center for Artificial Intelligent (CAIT), Faculty of Technology and Information Science, University Kebangsaan Malaysia. His current research focuses on the algorithmic aspects of computer vision, machine learning and robotics, like the algorithm design and analysis, and experimental verification.

  • ken lun lam, azizi abdullah, and dheeb albashish.  (2023).  ensemble of fully convolutional neural networks with end-to-end learning for small object semantic segmentation.  - robot intelligence technology and applications 7.  125-135. 

     

    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 .  -

     

    zul hilmi abdullah, waidah ismail, lailatul qadri zakaria, shaharudin ismail & azizi abdullah.  (2023).  classification of exercise game data for rehabilitation using machine learning algorithms.  - the international conference on data science and emerging technologies.  293-304. 

     

    amran binomairah, azizi abdullah, bee ee khoo, zeinab mahdavipour, teow wee teo, nor shahirah mohd noor and mohd zaid abdullah.  (2022).  detection of microcracks and dark spots in monocrystalline perc cells using photoluminescene imaging and yolo-based cnn with spatial pyramid pooling.  - epj photovoltaics.  1-12. 

     

    zaidah ibrahim, norizan mat diah, muhammad eirfan azmi, azizi abdullah, and nor azan mat zin.  (2022).  real-time mobile application for handwritten digit recognition using mobilenet.  - proceedings of the 11th international conference on robotics, vision, signal processing and power applications.  1003-1008. 

     

    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. 

     

    nor ashidah selamat dan azizi abdullah dan norizan mat diah.  (2022).  association features of smote and rose for drug addiction relapse risk.  - journal of king saud university - computer and information sciences.  7710-7719. 

     

    monirul islam pavel, siok yee tan, and azizi abdullah.  (2022).  vision-based autonomous vehicle systems based on deep learning: a systematic literature review.  - applied sciences.  1-51. 

     

    siok yee tan, haslina arshad, azizi abdullah.  (2021).  an improved colour binary descriptor algorithm for mobile augmented reality.  - virtual reality.  1193-1219. 

     

    siok yee tan, haslina arshad, azizi abdullah.  (2019).  distinctive accuracy measurement of binary descriptors in mobile augmented reality.  - plos one. 

     

    siti norul huda sheikh abdullah, abbas salimi zaini, bedir yilmaz, azizi abdullah, nor sakinah binti md othman, ven jyn kok.  (2019).  contour based tracking for driveway entrance counting system.  - international journal of integrated engineering.  1-10. 

     

    dheeb albashish, shahnorbanun sahran, azizi abdullah, mohammed alwesha, afzan adam.  (2018).  a hierarchical classifier for multiclass prostate histopathology image gleason grading.  - journal of information and communication technology. 

     

    mohammed omar salameh, azizi abdullah and shahnorbanun sahran.  (2017).  ensemble of bayesian filters for loop closure detection.  - pertanika journal of science & technology.  235-242. 

     

    fauziah kasmin, azizi abdullah dan anton satria prabuwono.  (2017).  weight determination for supervised binarization algorithm based on or decomposition.  - jurnal teknologi.  97-106. 

     

    s. nashat, a. abdullah, m. z. abdullah.  (2012).  unimodal thresholding for laplacian-basedcanny deriche filter.  - pattern recognition letters.  33(10):1269-1286. 

     

    nor ashidah selamat dan azizi abdullah dan norizan mat diah.  (2022).  association features of smote and rose for drug addiction relapse risk.  - journal of king saud university - computer and information sciences.  7710-7719. 

     

    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. 

     

    monirul islam pavel, siok yee tan, and azizi abdullah.  (2022).  vision-based autonomous vehicle systems based on deep learning: a systematic literature review.  - applied sciences.  1-51. 

     

    amran binomairah, azizi abdullah, bee ee khoo, zeinab mahdavipour, teow wee teo, nor shahirah mohd noor and mohd zaid abdullah.  (2022).  detection of microcracks and dark spots in monocrystalline perc cells using photoluminescene imaging and yolo-based cnn with spatial pyramid pooling.  - epj photovoltaics.  1-12. 

     

    norizan mat diah, ratna zuarni ramli, nor azan mat zin and azizi abdullah.  (2022).  real-time feedback engine for online jawi character recognition.  - international journal of advanced technology and engineering exploration.  477-489. 

     

    ken lun lam, azizi abdullah, and dheeb albashish.  (2023).  ensemble of fully convolutional neural networks with end-to-end learning for small object semantic segmentation.  - robot intelligence technology and applications 7.  125-135. 

     

    zul hilmi abdullah, waidah ismail, lailatul qadri zakaria, shaharudin ismail & azizi abdullah.  (2023).  classification of exercise game data for rehabilitation using machine learning algorithms.  - the international conference on data science and emerging technologies.  293-304. 

     

    zaidah ibrahim, norizan mat diah, muhammad eirfan azmi, azizi abdullah, and nor azan mat zin.  (2022).  real-time mobile application for handwritten digit recognition using mobilenet.  - proceedings of the 11th international conference on robotics, vision, signal processing and power applications.  1003-1008. 

     

    umar affandi shahrin iskandar, norizan mat diah, marina ismail, azizi abdullah.  (2021).  comparing the efficiency of pathfinding algorithms for npcs in platform games.  - 2nd international conference on information security and computer technology (icisct 2021).  1-10. 

     

    azizi abdullah dan dheeb albashish.  (2021).  empirical comparision on boosted cascade of haar-like features to histogram of oriented gradients for person detection.  - 2021 international conference on electrical engineering and informatics (iceei).  1-6. 

     

    joko siswantoro, azizi abdullah, anton satria prabuwono, bahari idrus.  (2022).  sistem penglihatan komputer: pengukuran isipadu produk menggunakan kaedah monte carlo.  - 158. 

     

    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. 

     

    tan siok yee, haslina arshad & azizi abdullah.  (2017).  computational intelligence for data science application.  - 6. 

     

    abdul hadi abd rahman, shahnorbanun sahran, khairul akram zainol ariffin, salwani abdullah, mohammad faidzul nasrudin, siti norul huda sheikh abdullah, azizi abdullah, lailatul qadri zakaria, nazatul aini abd majid & sabrina tiun abdullah.  (2017).  penyelidikan komputeran dalam era revolusi industri 4.0.  - 7. 

     

    wan noor aziezan baharuddin, rizuana iqbal hussain, siti norul huda sheikh abdullah, neno fitri, and azizi abdullah.  (2013).  soft computing applications and intelligent systems.  - CCIS 378, 99-110. 

     

    azizi abdullah, mohammed omar salameh dan abdul hadi abd rahman.  (2021).  robot dan kecerdasan buatan era revolusi industri 4.0.  - 12. 

     

    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. 

     

    tan siok yee, haslina arshad & azizi abdullah.  (2017).  computational intelligence for data science application.  - 6. 

     

    abdul hadi abd rahman, shahnorbanun sahran, khairul akram zainol ariffin, salwani abdullah, mohammad faidzul nasrudin, siti norul huda sheikh abdullah, azizi abdullah, lailatul qadri zakaria, nazatul aini abd majid & sabrina tiun abdullah.  (2017).  penyelidikan komputeran dalam era revolusi industri 4.0.  - 7. 

     

    azizi abdullah & nor samsiah sani.  (2017).  penyelidikan komputeran dalam era revolusi industri 4.0.  - 7. 

     

    joko siswantoro, azizi abdullah, anton satria prabuwono, bahari idrus.  (2022).  sistem penglihatan komputer: pengukuran isipadu produk menggunakan kaedah monte carlo.  - 158. 

     

    fauziah kasmin, azizi abdullah dan anton satria prabuwono.  (2021).  pembinaan imej perduaan menggunakan penggabungan penormalan dan kemudi kejiranan setempat.  - 177. 

     

    azizi bin abdullah.  (2010).  supervised learning algorithms for visual object categorization.  - 131. 

     

    zawiyah mohammad yusof, hairudin harun, masnizah mohd, nazura abdul manap, azizi abdullah.  (2007).  teknologi maklumat dan komunikasi: etika, undang-undang dan sosial..  - 227. 

     

    zawiyah mohammad yusof, hairudin harun, masnizah mohd, nazura abdul manap, azizi abdullah.  (2007).  teknologi maklumat dan komunikasi: etika, undang-undang dan sosial.  - 284. 

     

    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 .  -

     

    nor ashidah selamat and azizi abdullah.  (2020).  imbalanced data classification for risk of addiction relapse using the smote and rose combined methods: a comparative study.  - 1-112. 

     

    fixed partitioning and salient points for loop closure detection: a comparative study.  (2020).  fixed partitioning and salient points for loop closure detection: a comparative study.  - 1-10. 

     

    warhamni jani @ mokhtar and azizi abdullah.  (2020).  hierarchical svm classifiers for intrusion detection system.  - 1-16. 

     

    azizi abdullah.  (2020).  understanding machine learning applications.  - 1-63.