dr. jarinah binti mohd ali

pensyarah universiti

jabatan kejuruteraan kimia & proses

No. Telefon Rasmi :  0389118377

No. rasmi:
UKM : 03 8921 5555



   Biografi/ Biography :

  • Jarinah Mohd Ali is a senior lecturer in the Department of Chemical and Process Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM). She received her BEng. (hons) in Chemical Engineering from Universiti Teknologi MARA (UiTM) in 2007, MSc. (hons) in Advanced Process Control from University Technology of PETRONAS (UTP) in 2011 and subsequently received a Ph.D from the University of Malaya (UM) in 2017 under the same field. Her research focuses on estimation techniques, process control and artificial intelligence (fuzzy logic and neural network).

  • goh choo ta, noorazman soud, kasman nasir, fairuz anwar abdullah, masli irwan rosli, darman nordin, jarinah mohd ali, syazwani mohd fadzil, nurul izzaty hassan, siti zubaidah hasan, mohd sobri takriff, mardiana abdul latif.  (2022).  prevention of technological disasters: adoption of indicative criteria associated with ghs in regulating major accident hazards.  - process safety and environmental protection.  583-594. 

     

    haslaniza binti hashim;mohamad yusof maskat;saiful irwan zubairi;jarinah binti mohd ali.  (2022).  optimization of spray drying operating parameters on noni (morinda citrifolia l.) juice using methane/ helium plasma.  -

     

    masturah binti markom;norliza binti abd rahman;noorashikin binti md saleh;jarinah binti mohd ali.  (2022).  overall performance index prediction by hybrid artificial neural network for scaling-up the supercritical fluid extraction of gynura procumbens.  -

     

    jarinah binti mohd ali;norliza binti abd rahman;haslaniza binti hashim;wan fariza binti paizi @ fauzi;tan siok yee.  (2022).  artificial intelligence based identification of preservatives content in canned food.  -

     

    goh choo ta, masli irwan rosli, darman nordin, jarinah mohd ali, nurul izzaty binti hassan, syazwani binti mohd fadzil, mohd sobri takriff, siti zubaidah binti hasan.  (2022).  kajian semula penentuan kuantiti ambang bahan berbahaya dan kriteria indikatif menurut tanda aras dengan standard antarabangsa - laporan interim 2.  - 1-184. 

     

    goh choo ta, noorazman soud, kasman nasir, fairuz anwar abdullah, masli irwan rosli, darman nordin, jarinah mohd ali, syazwani mohd fadzil, nurul izzaty hassan, siti zubaidah hasan, mohd sobri takriff, mardiana abdul latif.  (2022).  prevention of technological disasters: adoption of indicative criteria associated with ghs in regulating major accident hazards.  - process safety and environmental protection.  583-594. 

     

    nidhi rajesh mavani, jarinah mohd ali, suhaili othman, m. a. hussain, haslaniza hashim & norliza abd rahman.  (2022).  application of artificial intelligence in food industry - a guideline.  - food engineering reviews.  134-175. 

     

    sitinoor adeib idris, masturah markom, norliza abd. rahman & jarinah mohd ali.  (2022).  multifactor assessments to determine the overall performance of supercritical fuid extraction from gynura procumbens essential oil.  - scientific reports.  1-12. 

     

    nidhi rajesh mavani, lim chou yuh, haslaniza hashim, norliza abd. rahman, jarinah mohd ali.  (2021).  fuzzy mamdani based user-friendly interface for food preservatives determination.  - food and bioproducts processing.  282-292. 

     

    farah ramadhani, m.a. hussain, hazlie moklis, muhamad fazly, jarinah mohd ali.  (2019).  evaluation of solid oxide fuel cell based polygeneration system in residential areas integrating with electric charging and hydrogen fueling stations for vehicles.  - applied energy.  1373-1388. 

     

    norliza binti abd.rahman, jarinah binti mohd ali, mohd afiq bin baharom.  (2019).  preliminary development of myaras: level 1 mobile virtual lab.  - international journal of emerging technologies in learning.  131-139. 

     

    sitinoor adeib idris, masturah markom, norliza abd rahman, jarinah mohd ali.  (2022).  prediction of overall yield of gynura procumbens from ethanol-water + supercritical co2 extraction using artificial neural network model.  - case studies in chemical and environmental engineering.  1-9. 

     

    nidhi rajesh mavani, jarinah mohd ali, suhaili othman, m. a. hussain, haslaniza hashim & norliza abd rahman.  (2022).  application of artificial intelligence in food industry - a guideline.  - food engineering reviews.  134-175. 

     

    goh choo ta, noorazman soud, kasman nasir, fairuz anwar abdullah, masli irwan rosli, darman nordin, jarinah mohd ali, syazwani mohd fadzil, nurul izzaty hassan, siti zubaidah hasan, mohd sobri takriff, mardiana abdul latif.  (2022).  prevention of technological disasters: adoption of indicative criteria associated with ghs in regulating major accident hazards.  - process safety and environmental protection.  583-594. 

     

    sitinoor adeib idris, masturah markom, norliza abd. rahman & jarinah mohd ali.  (2022).  multifactor assessments to determine the overall performance of supercritical fuid extraction from gynura procumbens essential oil.  - scientific reports.  1-12. 

     

    sarmad i. ibrahim, ahmed h. ali, sanaa a. hafidh, miqdam t. chaichan, hussein a. kazem, jarinah mohd ali, wan nor roslam isahak, ahmed alamiery.  (2022).  stability and thermal conductivity of different nano-composite material prepared for thermal energy storage applications.  - south african journal of chemical engineering.  72-89. 

     

    aliya mohamad ros, f. n.; rahman, norliza abd; ali, jarinah mohd; anuar, nurina; abdullah, siti rozaimah bt. sheikh; jusoh yusoff, amir fazlim bin.  (2020).  comparative study between avian cell and mammalian cell in production of influenza vaccine shariah compliance.  - iop conference series: materials science and engineering.  1-6. 

     

    a. m. shamsul bahrin; j.mohd ali.  (2020).  hybrid fuzzy-disturbance observer for estimating disturbance in styrene polymerization process.  - 26th regional symposium on chemical engineering (rsce 2019).  1-6. 

     

    norliza abd.rahman, jarinah mohd ali, siti rozaimah sheikh abdullah.  (2019).  kurikulum & instruksi ( curriculum & instruction).  - 8. 

     

    norliza abd.rahman, jarinah mohd ali, nor yuliana yuhana, mohd shabudin mastar@masdar, mohd zulhaziman, shuhaida harun, siti kartom kamaruddin.  (2022).  pembangunan produk dan rekabentuk siri 7.  - 11. 

     

    norliza abd.rahman, jarinah mohd ali, siti rozaimah sheikh abdullah.  (2019).  kurikulum & instruksi ( curriculum & instruction).  - 8. 

     

    masturah binti markom;norliza binti abd rahman;noorashikin binti md saleh;jarinah binti mohd ali.  (2022).  overall performance index prediction by hybrid artificial neural network for scaling-up the supercritical fluid extraction of gynura procumbens.  -

     

    goh choo ta, masli irwan rosli, darman nordin, jarinah mohd ali, nurul izzaty binti hassan, syazwani binti mohd fadzil, mohd sobri takriff, siti zubaidah binti hasan.  (2022).  kajian semula penentuan kuantiti ambang bahan berbahaya dan kriteria indikatif menurut tanda aras dengan standard antarabangsa - laporan interim 2.  - 1-184. 

     

    haslaniza binti hashim;mohamad yusof maskat;saiful irwan zubairi;jarinah binti mohd ali.  (2022).  optimization of spray drying operating parameters on noni (morinda citrifolia l.) juice using methane/ helium plasma.  -

     

    jarinah binti mohd ali;norliza binti abd rahman;haslaniza binti hashim;wan fariza binti paizi @ fauzi;tan siok yee.  (2022).  artificial intelligence based identification of preservatives content in canned food.  -

     

    goh choo ta, mohd sobri takriff, masli irwan rosli, darman nordin, jarinah mohd ali, nurul izzaty binti hassan, syazwani binti mohd fadzil.  (2021).  kajian semula penentuan kuantiti ambang bahan berbahaya dan kriteria indikatif menurut tanda aras dengan standard antarabangsa.  - 1-26.