dr. lee loong chuen

pensyarah universiti

pusat kajian diagnostik, teraputik & penyiasatan (codtis)

 lc_lee@ukm.edu.my

No. sambungan :  0389217202

No. rasmi:
UKM : 03 8921 5555



   Biografi/ Biography :

  • LC is a senior lecturer in the Forensic Science Program, Faculty of Health Sciences, Universiti Kebangsaan Malysia (UKM) and member of the Malaysian Institute of Chemistry (Institut Kimia Malaysia, IKM). IKM is a statutory professional organization incorporated under the Chemist Act 1975. LC completed her BSc in Forensic Science at the Universiti Sains Malaysia (USM) in 2007. Then LC joined the Forensic Science Program, Faculty of Health Sciences, UKM, as a tutor till 2012. Later, she obtained her MSc. Degree in Chemistry and Ph.D. degree in Applied Statistics at UKM in 2012 and 2019, respectively. In 2020, Dr. LC was promoted to senior lecturer. Her current research is focused on developing analytical approaches for classification, discrimination and identification problems in the context of forensic sciences by using chemometric and chemical instrumental techniques. She managed published six research papers in Q1 journals covering Chemometrics and Intelligent Laboratory Systems, Analyst; and Microchemical Journal, during her PhD study. Meanwhile, she is also actively published research performed by her undergraduate students in high impact journal, e.g. Journal of Analytical Chemistry, and Egyptian Journal of Forensic Sciences. Her publications covered journals in the field of analytical chemistry, chemometrics and forensic science. Besides journal papers, she has performed over 40 oral and poster presentations in various International and National Conferences/Symposiums/Seminars; published proceedings papers, and popular writings.

  • lee loong chuen.  (2021).  a study to explore discriminative power of atr-ftir spectroscopy for forensic paper analysis using decision tree method.  - journal of analytical chemistry.  95-101. 

     

    loong chuen lee, ameeta a/p nai eyan, nor azman mohd noor, saiful fazamil mohd ali, hukil sino, azhar abdul halim.  (2021).  discrimination of brown soils using ultra-performance liquid chromatography (uplc) & principal component analysis.  - acs spring 2021: macromolecular chemistry: the second century.  1-4. 

     

    loong chuen lee.  (2021).  modelling of atr-ftir spectral data using k-nearest neighbors: evaluation of data preprocessing techniques.  - junior science communication.  11-13. 

     

    loong chuen lee, hukil sino, nor azman mohd noor, saiful mohd ali, azhar abdul halim.  (2021).  prediction of the geographical origin of soils using ultra-performance liquid chromatography (uplc) fingerprinting and k-nearest neighbor (k-nn).  - 2nd international conference on artificial intelligence: advances and applications (icaiaa 2021).  37-38. 

     

    loong chuen lee, muhammad yusuf adam, siti norfaraan abd sanih, nur izzati bohari.  (2021).  forensic gender discrimination in malaysian population using machine learning methods.  - 2020 international conference on innovation and intelligence for informatics, computing and technologies (3ict).  1-5. 

     

    loong chuen lee, choong-yeun liong, abdul aziz jemain.  (2019).  statistical comparison of decision rules in pls2-da prediction model for classification of blue gel pen inks according to pen brand and pen model.  - chemometrics and intelligent laboratory systems. 

     

    lee loong chuen, abdul aziz jemain.  (2019).  predictive modelling of colossal atr-ftir spectral data using pls-da: empirical differences between pls1-da and pls2-da algorithms.  - analyst.  2670-2678. 

     

    loong chuen lee, choong-yeun liong, abdul aziz jemain.  (2018).  effects of data pre-processing methods on classification of atr-ftir spectra of pen inks using partial least squares-discriminant analysis (pls-da).  - chemometrics and intelligent laboratory systems. 

     

    loong chuen lee, choong-yeun liong, abdul aziz jemain.  (2018).  validity of the best practice in splitting data for hold-out validation strategy as performed on the ink strokes in the context of forensic science.  - microchemical journal. 

     

    loong chuen lee, choong-yeun liong and abdul aziz jemain.  (2018).  partial least squares-discriminant analysis (pls-da) for classification of high-dimensional (hd) data: a review of contemporary practice strategies and knowledge gaps.  - analyst. 

     

    loong chuen lee, ab aziz ishak, nadirah abdul hamid, yaishnavee ravi, muhamad adib ahmad and norazwani ali.  (2021).  a comparison between univariate and multivariate statistical techniques to determine source of pen inks using ultra-performance liquid chromatography (uplc) chromatograms.  - journal of liquid chromatography & related technologies.  1-11. 

     

    lee loong chuen.  (2021).  a study to explore discriminative power of atr-ftir spectroscopy for forensic paper analysis using decision tree method.  - journal of analytical chemistry.  95-101. 

     

    loong chuen lee, wan nur syazwani wan mohamad fuad, sharifah shakilah abdullah and kay loke ong.  (2019).  preliminary study on morphometric analysis of the human scalp hair for discrimination of ethnic malay and ethnic chinese in malaysia.  - egyptian journal of forensic sciences.  1-6. 

     

    loong chuen lee*, muhammad ismail ab samad, and mohamad azlan mohd ismail.  (2016).  nondestructive classification and identification of ballpoint pen inks by raman spectroscopy for forensic document examinations.  - journal of analytical chemistry.  723-729. 

     

    loong chuen lee, intan shafiqa md yunus, wan nur syazwani wan mohamad fuad, ab aziz ishak, khairul osman.  (2015).  statistical discrimination of black ballpoint pen inks using ultra-performance liquid chromatography with principal component analysis.  - journal of analytical chemistry.  374-377. 

     

    loong chuen lee, choong-yeun liong, abdul aziz jemain.  (2018).  iterative random vs. kennard-stone sampling for ir spectrum-based classification task using pls2-da.  - aip conference proceedings. 

     

    loong chuen lee, choong-yeun liong, and abdul aziz jemain.  (2017).  q-mode versus r-mode principal component analysis for linear discriminant analysis (lda).  - the 3rd ism international statistical conference 2016 (ism-iii), aip conference proceedings.  1-6. 

     

    loong-chuen lee, choong-yeun liong, khairul osman, and abdul aziz jemain.  (2016).  comparison of several variants of principal component analysis (pca) on forensic analysis of paper based on ir spectrum.  - aip conference proceedings / johor bahru, malaysia.  1-7. 

     

    loong-chuen lee, choong-yeun liong, khairul osman, and abdul aziz jemain.  (2016).  effects of scatter-correction pre-processing methods and spectral derivative algorithms on forensic classification of paper.  - aip conference proceedings / johor bahru, malaysia.  1-9. 

     

    loong-chuen lee, choong-yeun liong, khairul osman, and abdul aziz jemain.  (2016).  forensic differentiation of paper by atr-ftir spectroscopy technique and partial least squares-discriminant analysis (pls-da).  - aip conference proceedings / johor bahru, malaysia.  1-7. 

     

    loong chuen lee, choong-yeun liong, abdul aziz jemain.  (2018).  iterative random vs. kennard-stone sampling for ir spectrum-based classification task using pls2-da.  - aip conference proceedings. 

     

    loong chuen lee, choong-yeun liong, and abdul aziz jemain.  (2017).  q-mode versus r-mode principal component analysis for linear discriminant analysis (lda).  - the 3rd ism international statistical conference 2016 (ism-iii), aip conference proceedings.  1-6. 

     

    loong-chuen lee, choong-yeun liong, khairul osman, and abdul aziz jemain.  (2016).  comparison of several variants of principal component analysis (pca) on forensic analysis of paper based on ir spectrum.  - aip conference proceedings / johor bahru, malaysia.  1-7. 

     

    loong-chuen lee, choong-yeun liong, khairul osman, and abdul aziz jemain.  (2016).  effects of scatter-correction pre-processing methods and spectral derivative algorithms on forensic classification of paper.  - aip conference proceedings / johor bahru, malaysia.  1-9. 

     

    loong-chuen lee, choong-yeun liong, khairul osman, and abdul aziz jemain.  (2016).  forensic differentiation of paper by atr-ftir spectroscopy technique and partial least squares-discriminant analysis (pls-da).  - aip conference proceedings / johor bahru, malaysia.  1-7. 

     

    loong chuen lee, ameeta a/p nai eyan, nor azman mohd noor, saiful fazamil mohd ali, hukil sino, azhar abdul halim.  (2021).  discrimination of brown soils using ultra-performance liquid chromatography (uplc) & principal component analysis.  - acs spring 2021: macromolecular chemistry: the second century.  1-4. 

     

    loong chuen lee, hukil sino.  (2021).  comparison between self-organizing maps and principal component analysis for assessment of temporal variations of air pollutants.  - 3rd international conference on communication and computational technologies (iccct 2021).  49. 

     

    loong chuen lee, hukil sino, nor azman mohd noor, saiful mohd ali, azhar abdul halim.  (2021).  prediction of the geographical origin of soils using ultra-performance liquid chromatography (uplc) fingerprinting and k-nearest neighbor (k-nn).  - 2nd international conference on artificial intelligence: advances and applications (icaiaa 2021).  37-38. 

     

    loong chuen lee, hukil sino.  (2021).  comparative study between soms & pca for assessment of temporal variations of air pollutants.  - 1-11. 

     

    loong chuen lee, ameeta a/p nai eyan, nor azman mohd noor, saiful fazamil mohd ali, hukil sino, azhar abdul halim.  (2021).  discrimination of brown soils using ultra-performance liquid chromatography (uplc) and principal component analysis.  - acs spring 2021.  1-10.