Curriculum Vitae

ASSOCIATE PROF. DR. SORAYYA BIBI MALEK BINTI MALEK ABD RASHID

Associate Professor
  • Institute of Biological Sciences
    Faculty of Science

AREAS OF EXPERTISE


  • MACHINE LEARNING , DATA SCIENCE , MEDICAL INFORMATICS
  • ECOLOGICAL INFORMATICS
    Ecological Informatics, Modelling , Machine learning Methods

ACADEMIC QUALIFICATION


  • PhD (UM)(2011), (Bioinformatik)
    Universiti Malaya (UM)
  • MCompSc(UM)(2002), (Computer Science)
    Universiti Malaya (UM)
  • BIT (Hons)(UM)(2000), (Information Technology)
    Universiti Malaya (UM)

ADMINISTRATIVE DUTIES


  • Course Coordinator
    01 Jan 2023 - 31 Dec 2023 (Department)
  • Task Force Member
    02 Oct 2023 - 30 Dec 2023 (Department)
  • SIO1004 INTRODUCTION TO COMPUTER PROGRAMMING IN BIOINFORMATICS
    01 Jan 2023 - 30 Dec 2023 (Department)
  • Course Coordinator
    01 Jan 2023 - 30 Jun 2023 (Department)
  • Course Coordinator
    18 Sep 2022 - 31 Dec 2022 (Department)
  • Course Coordinator
    24 Sep 2021 - 17 Jul 2022 (Department)
  • Course Coordinator
    24 Sep 2021 - 30 Mar 2022 (Department)
  • Course Coordinator
    24 Sep 2021 - 30 Mar 2022 (Department)
  • AJK Tetap Eco Kampus UM
    01 Sep 2017 - 31 Dec 2021 (University Malaya)
  • Panel Penasihat Akademik Program Bioinformatik
    09 Oct 2020 - 01 Oct 2021 (Institute of Biological Sciences, Faculty of Science)
  • PELANTIGN SEBAGAT AHL| JAWATANKUASA TJAZAH TINGGI (JKIT), INSTITUT SAINS BIOLOGI, FAKULTI SAINS
    01 May 2018 - 01 May 2020 (Institute of Biological Sciences, Faculty of Science)
  • Coordinator
    01 Jan 2008 - 30 Dec 2019 (Institute of Biological Sciences, Faculty of Science)
  • AHLI JAWATANKUASA JADUALWAKTU KULIAH & PEPERIKSAAN INSTITUT SAINS BIOLOGI
    01 Apr 2018 - 30 Dec 2019 (Institute of Biological Sciences, Faculty of Science)
  • Penasihat Akademik Unit Bioinformatik
    01 Jan 2018 - 30 Dec 2019 (Institute of Biological Sciences, Faculty of Science)
  • AJK MOOC
    30 Oct 2017 - 30 Aug 2019 (Institute of Biological Sciences, Faculty of Science)
  • Programme Coordinator
    01 Mar 2018 - 30 Jun 2019 (Institute of Biological Sciences, Faculty of Science)
  • Penyelaras Jadual Waktu Program Bioinformatik
    01 Jan 2013 - 01 Jun 2019 (Institute of Biological Sciences, Faculty of Science)
  • Coordinator
    01 Jan 2009 - 30 Dec 2018 (Institute of Biological Sciences, Faculty of Science)

MEMBERSHIPS


  • MALAYSIAN SOCIETY OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY (MASBIC) , ORDINARY MEMBER
    Since 2018 (University)

AWARD AND STEWARDSHIP


  • Silver Award
    UITM, 2023 (National)
  • Winner of the Best Presenter in NHAM Congress 2023
    National Heart Association of Malaysia (NHAM), 2023 (International)
  • World Health Organization (WHO) Western Pacific Innovation Challenge: Innovation for the Future of Public Health.
    World Health Organization (WHO), 2022 (International)
  • Invention , innovation and design exposition 2019 iidex 2019 ( Gold )
    Universiti Teknologi Mara , 2019 (National)
  • CERTIFICATE OF EXCELLENT SERVICE
    University of Malaya, 2019 (University)
  • Certificate of appreciation for bio symposium evaluator
    Institute of Biological Science Faculty of Science , 2018 (Department)
  • best papers from those presented in the conference to be considered for publication in a Special Issue of Neurocomputing
    The Scientific Committee of the International Conference on Practical Applications on Multi-agent Systems and Collocated Events 2016 (PAAMS 16, DCAI 16, ISAMI 16, PACBB 16, MIS4TEL 16),, 2016 (International)

PUBLICATIONS


Article in Journal
WoS
  1. Kasim, Sazzli Shahlan; Ibrahim, Nurulain; Malek, Sorayya; Ibrahim, Khairul Shafiq; Aziz, Muhammad Firdaus; Song, Cheen; Chia, Yook Chin; Ramli, Anis Safura; Negishi, Kazuaki; Nasir, Nafiza Mat (2023). Validation of the general Framingham Risk Score (FRS) , SCORE2, revised PCE and WHO CVD risk scores in an Asian population, LANCET REGIONAL HEALTH-WESTERN PACIFIC. 35. doi:10.1016/j.lanwpc.2023.100742
  2. Lau, Chia Fong; Malek, Sorayya; Gunalan, Roshan; Saw, Aik; Milow, Pozi; Song, Cheen (2023). Paediatric orthopaedic expert system, HEALTH INFORMATICS JOURNAL. 29(4). doi:10.1177/14604582231218530
  3. Ramli, Mohd Raznan; Malek, Sorayya; Milow, Pozi (2023). Diversity, structure, and application of self organizing map on plant species in homegardens, TROPICAL ECOLOGY. . doi:10.1007/s42965-022-00259-5
  4. Cham, Hui; Malek, Sorayya; Milow, Pozi; Song, Cheen (2022). Developing an ecological visualization system for biodiversity data, ALL LIFE. 15(1), 500-511. doi:10.1080/26895293.2022.2066195
  5. Kasim, S.; Malek, S.; Aziz, M. F.; Ibrahim, K. S. (2022). Machine learning to predict in-hospital mortality risk among heterogenous STEMI patients with diabetes, EUROPEAN HEART JOURNAL. 43. doi:10.1093/eurheartj/ehab849.176
  6. Kasim, Sazzli; Malek, Sorayya; Cheen, Song; Safiruz, Muhammad Shahreeza; Ahmad, Wan Azman Wan; Ibrahim, Khairul Shafiq; Aziz, Firdaus; Negishi, Kazuaki; Ibrahim, Nurulain (2022). In-hospital risk stratification algorithm of Asian elderly patients, SCIENTIFIC REPORTS. 12(1). doi:10.1038/s41598-022-18839-9
  7. Kasim, Sazzli; Malek, Sorayya; Song, Cheen; Ahmad, Wan Azman Wan; Fong, Alan; Ibrahim, Khairul Shafiq; Safiruz, Muhammad Shahreeza; Aziz, Firdaus; Hiew, Jia Hui; Ibrahim, Nurulain (2022). In-hospital mortality risk stratification of Asian ACS patients with artificial intelligence algorithm, PLOS ONE. 17(12). doi:10.1371/journal.pone.0278944
  8. Lau, Chia Fong; Malek, Sorayya; Gunalan, Roshan; Chee, W. H.; Saw, A.; Aziz, Firdaus (2022). Paediatric upper limb fracture healing time prediction using a machine learning approach, ALL LIFE. 15(1), 490-499. doi:10.1080/26895293.2022.2064923
  9. Ramli, Mohd Raznan; Milow, Pozi; Malek, Sorayya (2022). Diversity and composition of trees and shrubs species in homegardens in Kampung Masjid Ijok Perak, Malaysia, AGROFORESTRY SYSTEMS. 96(8), 1161-1174. doi:10.1007/s10457-022-00775-2
  10. Aziida, N., Malek, S., Aziz, F., Ibrahim, K. S., & Kasim, S. (2021). Predicting 30-Day Mortality after an Acute Coronary Syndrome (ACS) using Machine Learning Methods for Feature Selection, Classification and Visualisation. Sains Malaysiana, 50(3), 753-768. doi: 10.17576/jsm-2021-5003-17
  11. Aziz, F., Malek, S., Ibrahim, K. S., Shariff, R. E. R., Ahmad, W. A. W., Ali, R. M., . . . Kasim, S. (2021). Short- and long-term mortality prediction after an acute ST-elevation myocardial infarction (STEMI) in Asians: A machine learning approach. Plos One, 16(8), 23. doi: 10.1371/journal.pone.0254894
  12. Ibrahim, K. S.; Ghazali, N.; Aziz, F.; Malek, S.; Shariff, R. E. F. Raja; Radzi, A. B. Md; Sani, H.; Hamidi, M. H. Muhmad; Abidin, H. A. Zainal; Kasim, S. (2021). Validation of an online STEMI calculator: A pilot project, INTERNATIONAL JOURNAL OF CARDIOLOGY. 345, 7-8. doi:10.1016/j.ijcard.2021.10.044
  13. Kasim, S. S.; Malek, S.; Tang, J.; Kiew, X. N.; Ibrahim, K. S.; Aziz, F. (2021). Preliminary study on multi-class heart disease detection model of echocardiogram using deep learning, INTERNATIONAL JOURNAL OF CARDIOLOGY. 345, 7-7. doi:10.1016/j.ijcard.2021.10.043
  14. Kasim, S.; Malek, S.; Ibrahim, K. S.; Amir, P. N. F.; Aziz, M. F. (2021). Investigating performance of deep learning and machine learning risk stratification of Asian in-hospital patients after ST-elevation myocardial infarction, EUROPEAN HEART JOURNAL. 42, 3068-3068
  15. Kasim, S.; Malek, S.; Ibrahim, K. S.; Hiew, J. H.; Aziz, M. F. (2021). ACS mortality prediction in Asian in-hospital patients with deep learning using machine learning feature selection, EUROPEAN HEART JOURNAL. 42, 3069-3069
  16. Aziz, F., Malek, S., Ali, A. M., Wong, M. S., Mosleh, M., Milow, P. (2020). Determining hypertensive patients beliefs towards medication and associations with medication adherence using machine learning methods. Peerj, 8, 23. doi: 10.7717/peerj.8286
  17. Aziz, Firdaus; Malek, Sorayya; Ali, Adliah Mhd; Wong, Mee Sieng; Mosleh, Mogeeb; Milow, Pozi (2020). Determining hypertensive patients' beliefs towards medication and associations with medication adherence using machine learning methods, PEERJ. 8. doi:10.7717/peerj.8286
  18. Cham, H., Malek, S., Milow, P., & Ramli, M. R. (2020). Web-based system for visualisation of water quality index. All Life, 13(1), 426-432. doi: 10.1080/26895293.2020.1788998
  19. Kasim, S. S.; Malek, S.; Ibrahim, K. K. S.; Aziz, M. F. (2020). Risk stratification of Asian patients after ST-elevation myocardial infarction using machine learning methods, EUROPEAN HEART JOURNAL. 41, 3494-3494
  20. Aziz, F.; Malek, S.; Ibrahim, K. K. S.; Kasim, S. (2019). A Novel Local Machine Learning Algorithm to Predict Death in ACS Patients, INTERNATIONAL JOURNAL OF CARDIOLOGY. 297, 18-18. doi:10.1016/j.ijcard.2019.11.049
  21. Egbeocha, Chidi Onyema; Malek, Sorayya; Emenike, Chijioke Uche; Milow, Pozi (2018). Feasting on microplastics: ingestion by and effects on marine organisms, AQUATIC BIOLOGY. 27, 93-106. doi:10.3354/ab00701
  22. Malek, Sorayya; Gunalan, R.; Kedija, S. Y.; Lau, C. F.; Mosleh, Mogeeb A. A.; Milow, Pozi; Lee, S. A.; Saw, A. (2018). Random forest and Self Organizing Maps application for analysis of pediatric fracture healing time of the lower limb, NEUROCOMPUTING. 272, 55-62. doi:10.1016/j.neucom.2017.05.094
  23. Jye, Kho Soon; Manickam, Sugumaran; Malek, Sorayya; Mosleh, Mogeeb; Dhillon, Sarinder Kaur (2017). Automated plant identification using artificial neural network and support vector machine, FRONTIERS IN LIFE SCIENCE. 10(1), 98-107. doi:10.1080/21553769.2017.1412361
  24. Mosleh, Mogeeb Ahmed Ahmed; Baba, Mohd Sapiyan; Malek, Sorayya; Almaktari, Rasheed A. (2016). Ceph-X: development and evaluation of 2D cephalometric system, BMC BIOINFORMATICS. 17. doi:10.1186/s12859-016-1370-5
  25. Malek, Sorayya; Hui, Cham; Fong, Lau C.; Mosleh, Mogeeb A. A.; Milow, Pozi; Dhillon, Sarinder K.; Syed, Sharifah M. (2015). Ecological data prediction and visualization system, FRONTIERS IN LIFE SCIENCE. 8(4), 387-398. doi:10.1080/21553769.2015.1041167
Scopus
  1. Kasim S.S., Ibrahim N., Malek S., Ibrahim K.S., Aziz M.F., Song C., Chia Y.C., Ramli A.S., Negishi K., Mat Nasir N. (2023). Validation of the general Framingham Risk Score (FRS), SCORE2, revised PCE and WHO CVD risk scores in an Asian population, The Lancet Regional Health - Western Pacific. 35. doi:10.1016/j.lanwpc.2023.100742
  2. Lau C.F., Malek S., Gunalan R., Saw A., Milow P., Song C. (2023). Paediatric orthopaedic expert system, Health Informatics Journal. 29(4). doi:10.1177/14604582231218530
  3. Ramli M.R., Malek S., Milow P. (2023). Diversity, structure, and application of self organizing map on plant species in homegardens, Tropical Ecology. 64(3), 464-479. doi:10.1007/s42965-022-00259-5
  4. Cham H., Malek S., Milow P., Song C. (2022). Developing an ecological visualization system for biodiversity data, All Life. 15(1), 500-511. doi:10.1080/26895293.2022.2066195
  5. Kasim S., Malek S., Cheen S., Safiruz M.S., Ahmad W.A.W., Ibrahim K.S., Aziz F., Negishi K., Ibrahim N. (2022). In-hospital risk stratification algorithm of Asian elderly patients, Scientific Reports. 12(1). doi:10.1038/s41598-022-18839-9
  6. Kasim S., Malek S., Song C., Ahmad W.A.W., Fong A., Ibrahim K.S., Safiruz M.S., Aziz F., Hiew J.H., Ibrahim N. (2022). In-hospital mortality risk stratification of Asian ACS patients with artificial intelligence algorithm, PLoS ONE. 17(12 December). doi:10.1371/journal.pone.0278944
  7. Lau C.F., Malek S., Gunalan R., Chee W.H., Saw A., Aziz F. (2022). Paediatric upper limb fracture healing time prediction using a machine learning approach, All Life. 15(1), 490-499. doi:10.1080/26895293.2022.2064923
  8. Ramli M.R., Milow P., Malek S. (2022). Diversity and composition of trees and shrubs species in homegardens in Kampung Masjid Ijok Perak, Malaysia, Agroforestry Systems. 96(8), 1161-1174. doi:10.1007/s10457-022-00775-2
  9. Ramli, M. R., Malek, S., Milow, P., & Aziz, N. J. (2021). Traditional knowledge of medicinal plants in the kampung orang asli donglai baru, hulu langat, malaysia. Biodiversitas, 22(3), 1304-1309. doi: 10.13057/biodiv/d220329
  10. Ramli, M. R., Milow, P., & Malek, S. (2021). Diversity and traditional knowledge of medicinal plants in home gardens of Kampung Masjid Ijok, Perak, Malaysia. Biodiversitas, 22(5), 2458-2465. doi: 10.13057/biodiv/d220502
  11. Ramli, M. R., Milow, P., & Malek, S. (2021). Species composition, diversity and traditional uses of plants in homegardens in Kampung Masjid Ijok, Perak, Malaysia. Biodiversitas, 22(4), 1902-1911. doi: 10.13057/biodiv/d220438
  12. Cham, H., Malek, S., Salleh, A., Kaur, S., Milow, P., Mosleh, M. (2015). Application of web services for aquatic data warehouse system, ARPN Journal of Engineering and Applied Sciences. 10(156458-646218196608 (ISSN). )
  13. Milow, P., Malek, S. B., Edo, J., Ong, H. C. (2014). Malaysian Species of Plants with Edible Fruits or Seeds and Their Valuation, International Journal of Fruit Science. 14(1), 1-27
  14. Malek, S., Salleh, A., Milow, P., Baba, M. S., Sharifah, S. A. (2012). Applying artificial neural network theory to exploring diatom abundance at tropical Putrajaya Lake, Malaysia, Journal of Freshwater Ecology. 27(2), 211-22702705060 (ISSN).
  15. Ong, H. C., Norliah, A., Sorayya, M. (2012). Traditional knowledge and usage of edible plants among the Temuan villagers in Kampung Tering, Kuala Pilah, Negeri Sembilan, Malaysia, Indian Journal of Traditional Knowledge. 11(1), 161-16509725938 (ISSN).
  16. Sorayya, M., Aishah, S., Sapiyan, B. M. (2012). Supervised and unsupervised artificial neural networks for analysis of diatom abundance in tropical Putrajaya Lake, Malaysia, Sains Malaysiana. 41(8), 939-94701266039 (ISSN).
  17. Malek, S., Syed Ahmad, S. M., Singh, S. K. K., Milow, P., Salleh, A. (2011). Assessment of predictive models for chlorophyll-a concentration of a tropical lake, Bmc Bioinformatics. 12(SUPPL. 13), Article
  18. Sorayya, M., Aishah, S., Sapiyan, B. M., Mumtazah, S. A. S. (2011). A self organizing map (SOM) guided rule based system for freshwater tropical algal analysis and prediction, Scientific Research and Essays. 6(25), 5279-5284
Others
  1. Kasim, S., Malek, S., Ibrahim, K. S., Lim, B. F., & Aziz, M. F. (2022). 30 days mortality prediction and risk factor analysis of Asian patients with ACS using interpretable machine learning algorithm. European Heart Journal, 43(Supplement_2), ehac544-2783.
  2. Ibrahim, K. S., Ghazali, N., Aziz, F., Malek, S., Shariff, R. R., Radzi, A. M., ... & Kasim, S. (2021). Validation of an online STEMI calculator: A pilot project. International Journal of Cardiology, 345, 7-8.
  3. Ramli, M. R., MILOW, P., & MALEK, S. (2021). Diversity and traditional knowledge of medicinal plants in home gardens of Kampung Masjid Ijok, Perak, Malaysia. Biodiversitas Journal of Biological Diversity, 22(5).
  4. Ramli, M. R., MILOW, P., & MALEK, S. (2021). Species composition, diversity and traditional uses of plants in homegardens in Kampung Masjid Ijok, Perak, Malaysia. Biodiversitas Journal of Biological Diversity, 22(4).
  5. Aziz, F., Malek, S., Ali, A. M., Wong, M. S., Mosleh, M., & Milow, P. (2020). Determining hypertensive patients beliefs towards medication and associations with medication adherence using machine learning methods. PeerJ, 8, e8286.
  6. Sorayya Malek, Sazzli Kasim, Aziida Nanyonga, Khairul Shafiq Ibrahim, Muhhamd Firdaus Aziz Predicting 30 days mortality after an Acute Coronary Syndrome (ACS) using machine learning methods for feature selection, classification and visualization, Sains Malaysiana ( accepted 2020)
  7. Kho, S. J., Manickam, S., Malek, S., Mosleh, M., & Dhillon, S. K. (2017). Automated plant identification using artificial neural network and support vector machine. Frontiers in Life Science, 10(1), 98-107
  8. Khoo Soon Jye, Sugumaran Manickam, Sorayya Malek, Mogeeb Mosleh, Sarinder Kaur Dhillon(2017). Automated Plant Identification using Artificial Neural Network (ANN) and Support Vector Machine (SVM). FRONTIERS IN LIFE SCIENCE,2017 https://doi.org/10.1080/21553769.2017.1412361
  9. Sorayya Malek , R Gunalan , S.Y Kedija , C.F Lau , Mogeeb A.A. Mosleh , Pozi Milow , S.A Lee , A Saw , Random Forest and Self Organizing Maps Application for Analysis of Pediatric Fracture Healing Time of the Lower Limb, Neurocomputing (2017), doi: 10.1016/j.neucom.2017.05.094
  10. ozi Milow & Sorayya Malek & Nur Shahidah Mohammad & Hean Chooi Ong 2013. Diversity of Plants Tended or Cultivated in Orang Asli Homegardens in Negeri Sembilan, Peninsular Malaysia. Human Ecology. Published online. (ISI/SCOPUS Cited Publication)
  11. M. Sorayya, S. Aishah, B. Mohd. Sapiyan, Supervised and Unsupervised Artificial Neural Networks for Analysis of Diatom Abundance in Tropical Putrajaya Lake (Malaysia). Sains Malaysiana. (Reviewed)
  12. Mogeeb Mosleh, Hayat Manssor, Sorayya Malek, Pozi Milow, Aishah Salleh.2012.A preliminary study on automated freshwater algae recognition and classification system BMC Bioinformatics 13(Suppl 17):S25.
  13. Sorayya Malek, Aishah Salleh , Mohd. Sapiyan Baba, Pozi Milow S.A.Sharifah. Applying Artificial Neural Network in Exploring Diatom Abundance at Tropical Lake Putrajaya (Malaysia). Journal of Freshwater Ecology. (Accepted )
  14. M. Sorayya, S. Aishah, B. Mohd. Sapiyan, S.A. Sharifah Mumtazah.A Self Organizing Map (SOM) Guided Rule Based System for Freshwater Tropical Algal Analysis and Prediction. Scientific Research and Essay. (Accepted)
  15. Ong HC, Norliah A & Sorayya M, Traditional knowledge and usage of edible plants among the Temuan villagers in Kampung Tering, Kuala Pilah, Negeri Sembilan, Malaysia. Indian Journal of Traditional Knowledge. (Accepted)
  16. Sorayya Malek, Sharifah Mumtazah Syed Ahmad, Sarinder KKS, Pozi Millow and Aishah Salleh. Assessment of predictive models for chlorophyll-a concentration of a tropical lake. BMC Bioinformatics, 12 Suppl 11, S12 .
  17. Sharifah Mumtazah, Mohd Belket, Sorayya Malek, 2009. Intelligent Computational Modeling and Prediction of Coliform Growth in Tropical Lakes based on Hybrid Self Organizing Maps (SOM) and Fuzzy Logic Approaches. Electronic journal of computer science and information techology (eJCSIT) 1(1):
Chapter in Books
  1. UM Living Lab Volume IV: Building Resilience & Sustainable Legacy (ISBN: 978-967-18808-1-4)
  2. Malek, S et. al., (2018). Bioimage Informatics. In. Encyclopedia of bioinformatics and computational biology ABC of bioinformatics Vol (2) (pp. 993-1010). Amsterdam: Elsevier.
  3. Malek, S., et. al.,(2018) . Ecosystem Monitoring Through Predictive Modeling. In Encyclopedia of bioinformatics and computational biology ABC of bioinformatics Vol 3 (pp.1-8). Amsterdam: Elsevier.
  4. Milow P., Malek S & Ramli R.M. (2017). Medicinal Plants of the Indigenous Tribes in Peninsular Malaysia: Current and Future Perspectives. In El-Shemy H.A. (Ed.) ACTIVE INGREDIENTS FROM AROMATIC AND MEDICINAL PLANTS (pp.1-12). Rijeka, Croatia: InTech
  5. Malek, S., Gunalan, R., Kedija, S. Y., Lau, C. F., Mosleh, M. A., Milow, P., ... & Saw, A. (2016). A Primary Study on Application of Artificial Neural Network in Classification of Pediatric Fracture Healing Time of the Lower Limb. In 10th International Conference on Practical Applications of Computational Biology & Bioinformatics (pp. 23-30). Springer International Publishing.
  6. Mogeeb A. A. Mosleh , Musaed A. Alhussein, Mohd Sapiyan Baba, Sorayya Malek, Sitihafizah ab Hamid ,(2016), Reviewing and Classification of Software Model Checking Tools, Advanced Computer and Communication Engineering Technology Volume 362 of the series Lecture Notes in Electrical Engineering pp 279-294, Springer
  7. Mogeeb AA Mosleh, Mohd Sapiyan Baba, Sorayya Malek, Musaed A Alhussein (2016) ,Challenges of Digital Note Taking. In Advanced Computer and Communication Engineering Technology Volume 362 of the series Lecture Notes in Electrical Engineering pp 211-23
Article in Proceeding
  1. Mogeeb A.A. Mosleh, Musaed A. Al-Hussein, Mohd Sapiyan Baba, Sorayya Malek,Sitihafizah ab Hamid, 2015. Challenges of Digital Note Taking, in Advanced Computer and Communication Engineering Technology Proceedings of ICOCOE 2015 Series: Lecture Notes in Electrical Engineering, Vol. 362 Sulaiman, H.A., Othman, M.A., Othman, M.F.I., Rahim, Y.A., Pee, N.C. (Eds.) 2016
  2. Mogeeb Mosleh, Mohd Sapiyan Baba,Sorayya Malek & Musaed A. Al-Hussein. 2015. Reviewing and Classification of Software Model Checking Tools, in lecture Notes Electrical Eng., Vol. 362, Hamzah Asyrani Sulaiman et al. (Eds): Advanced Computer and Communication Engineering Technology, 978-3-319- 24582-9, 352772_1_En, (23)
  3. Sorayya Malek , R. Gunalan, S. Y. Kedija, C. F. Lau, Mogeeb A. A. Mosleh, Pozi Milow, H. Amber, A. Saw (2016). A Primary Study on Application of Artificial Neural Network in Classification of Pediatric Fracture Healing Time of the Lower Limb. In Advances in Intelligent Systems and Computing :10th International Conference on Practical Applications of Computational Biology & Bioinformatics (Vol 477 ,pp. 23-30). Springer
  4. Dissolved Oxygen Prediction Using Support Vector Machine Sorayya Malek, Mogeeb Mosleh, Sharifah M. Syed World Academy of Science, Engineering and Technology International Journal of Computer, Information, Systems and Control Engineering Vol:8 No:1, 2014
  5. Hayat Mansoor, Sorayya M, Aishah S and Mogeeb A.A Mosleh. (2001). Automatic Recognition System for some cyanobacteria using image processing Techniques and ANN approach.International Conference on Environmental and Computer Science IPCBEE vol.19(2011) (2011) IACSIT Press, Singapore. pp. 74
  6. Hui Cham, Sorayya Bibi Malek Binti Malek Abd Rashid, Sharifah Mumtazah Syed Ahmad and Aishah Binti Salleh (2011). Framework for Tropical Ecological Data Warehouse (TEDW) FOR Governance and Maintenance of Tropical Lakes International Conference on Environmental and Computer Science IPCBEE vol.19(2011) (2011) IACSIT Press, Singapore, pp.94
  7. Jin Heng Oh, Sorayya Malek, Sharifah Mumtazah Syed Ahmad, Aishah Salleh, "A Comparison of ANN Architecture towards Predicting Cyanobacteria Abundance at Tropical Putrajaya Lake and Wetlands" in International Conference on Environmental Science and Technology ICEST 2010 Bangkok, Thailand. April 23-25, 2010, Asia-Pacific Chemical, Biological & Environmental Engineering Society (APCBEES) and International Association of Computer Science and Information Technology (IACSIT)
  8. Malek, S., Salleh, A., and Baba, M. S. 2010. Analysis of selected algal growth (Pyrrophyta) in tropical lake using Kohonen self organizing feature map (SOM) and its prediction using rule based system. In Proceedings of the international Conference and Workshop on Emerging Trends in Technology (Mumbai, Maharashtra, India, February 26 - 27, 2010). ICWET '10. ACM, New York, NY, 761-764. DOI= http://doi.acm.org/10.1145/1741906.1742083
  9. Sorayya Malek, Aishah Salleh, Mohd Sapiyan Baba, "A Comparison between Neural Network Based and Fuzzy Logic Models for Chlorophll-a Estimation," iccea, vol. 2, pp.340-343, 2010 Second International Conference on Computer Engineering and Applications, 2010. Print ISBN: 978-1-4244-6079-3
  10. Sorayya, M., Aishah, S., Sapiyan, B., Prediction of Population Dynamics of Bacillariophyta in the Tropical Putrajaya Lake and Wetlands (Malaysia) by a Recurrent Artificial Neural Networks. International Conference on Environmental and Computer Science (ICECS), Dubai, IEEE computer society, December 2009.
  11. Sorayya, M., Aishah, S., Sharifah Mumtazah, S.A., Analysis of Algal Growth using Kohonen Self Organizing Feature Map (SOM) and its Prediction using Rule Based Expert System, International Conference on Information Management and Engineering, Kuala Lumpur, IEEE computer society, April 2009, pp. 501- 504.
  12. M. Sorayya, B, Mohd. Sapiyan, and Baki Hj. Bakar ,"Theoretical considerations in Artificial Neural Networks (ANNs) in predicting rice yield in Malaysia." 20th Asian-Pacific Weed Sciences Society Conference , 7-11 October (2005), Ho Chi Minh City, Vietnam pg 514
Other Publications
  1. Kasim, S., Malek, S., Amir, P. N. F., Aziz, M. F., & Ibrahim, K. S. (2023). Predicting the risk of in-hospital Asian NSTEMI patients using stacked ensemble learning. European Heart Journal, 44(Supplement_2), ehad655-2939. - Extended Abstract
  2. Kasim, S., Malek, S., Ibrahim, K. S., & Kumar, D. S. (2023). Applying an interpretive machine learning algorithm to predict in-hospital mortality in elderly asian patients with acute coronary syndrome (ACS). European Heart Journal, 44(Supplement_1), ehac779-125. - Extended Abstract
  3. Ibrahim, N., Kasim, S. S., Malek, S., Ibrahim, K. S., Nasir, N. M., Aziz, M. F., & Song, C. (2022). Validation of the updated SCORE2, revised PCEs and WHO CVD risk charts in an Asian population. International Journal of Cardiology, 369, 18. - Extended Abstract
  4. Ibrahim, N., Kasim, S. S., Malek, S., Nasir, N. M., Ibrahim, K. S., Aziz, M. F., & Song, C. (2022). Preliminary analysis of the development of an artificial intelligence-based cardiovascular disease risk prediction model in an Asian population. International Journal of Cardiology, 369, 17. - Meeting Abstract
  5. Kasim, S. S., Malek, S., Ibrahim, K. S., Sureskumar, D., Aziz, M. F., Ibrahim, N., & Song, C. (2022). Mortality prediction of elderly Asian patients with acute coronary syndrome (ACS) using interpretable machine learning algorithm. International Journal of Cardiology, 369, 9-10. - Extended Abstract
  6. Kasim, S., Malek, S., Aziz, M. F., & Ibrahim, K. S. (2022). Machine learning to predict in-hospital mortality risk among heterogenous STEMI patients with diabetes. European Heart Journal, 43(Supplement_1), ehab849-176. - Meeting Abstract
  7. Kasim, S., Malek, S., Ibrahim, K. S., Lim, B. F., & Aziz, M. F. (2022). 30 days mortality prediction and risk factor analysis of Asian patients with ACS using interpretable machine learning algorithm. European Heart Journal-Digital Health, 3(4), ztac076-2783. - Meeting Abstract
  8. Song, C., Kasim, S. S., Malek, S., Ibrahim, K. S., Sulaiman, N. M. N., Negishi, K., ... & Ibrahim, N. (2022). Effects of air pollution towards hospital admission prediction of Asian patients with acute coronary syndrome (ACS) using LSTM method. International Journal of Cardiology, 369, 16. - Meeting Abstract
  9. Ibrahim, K. S., Ghazali, N., Aziz, F., Malek, S., Shariff, R. R., Radzi, A. M., ... & Kasim, S. (2021). Validation of an online STEMI calculator: A pilot project. International Journal of Cardiology, 345, 7-8. - Extended Abstract
  10. Kasim, S. S., Malek, S., Tang, J., Kiew, X. N., Ibrahim, K. S., & Aziz, F. (2021). Preliminary study on multi-class heart disease detection model of echocardiogram using deep learning. International Journal of Cardiology, 345, 7. - Extended Abstract
  11. Kasim, S., Malek, S., Ibrahim, K. S., Amir, P. N. F., & Aziz, M. F. (2021). Investigating performance of deep learning and machine learning risk stratification of Asian in-hospital patients after ST-elevation myocardial infarction. European Heart Journal, 42(Supplement_1), ehab724-3068. - Extended Abstract
  12. Kasim, S., Malek, S., Ibrahim, K. S., Hiew, J. H., & Aziz, M. F. (2021). ACS mortality prediction in Asian in-hospital patients with deep learning using machine learning feature selection. European Heart Journal, 42(Supplement_1), ehab724-3069. - Extended Abstract
  13. Sorayya M, KKS Ibrahim , Ain Syahirah , Firdaus A, Aziida , Sazzli SK. Abstract of " Online Machine Learning calculator Prototype for Predicting Myocardial Infarction Mortality in Malaysian Population" NHAM congress, April 2019. - Extended Abstract
  14. K.S. Ibrahim , M. Sorayya, , N. Aziida, & S.K. Sazzli. (2018) . Preliminary Study on Application of Machine Learning Method in Predicting Survival Versus Non-Survival after Myocardial Infarction in Malaysian Population. International Journal of Cardiology 273 (2018) 1 23 - Extended Abstract

RESEARCH INTEREST


  • Ecological Informatics
  • Ecological data warehouse
  • Ecological data visualization
  • Medical Informatics : Acute Coronary Syndrome and Pediatric Orthopedics

RESEARCH PROJECT


National
  1. 2022 - 2024, Fundamental Research Grant Scheme (FRGS)
    Elucidation Of Gene Expression Datasets In COVID19 Patients Using Bioinformatics Meta-Analysis Pipeline ( Co-Researcher)
  2. 2018 - 2021, RU Geran - Fakulti Program
    Pediatric Orthopedic Fracture Web Based Expert System ( Principal Investigator(PI))
  3. 2016 - 2020, UM Community Campus-Manage by UMCARES
    A Systems Approach to Environmental Data Archiving for Sustainability : University of Malaya Living Labs System (Enhancement and Continuation) ( Principal Investigator(PI))
  4. 2015 - 2017, Geran Penyelidikan Universiti Malaya (UMRG) - AFR (Frontier Science)
    Application of Artificial Neural Networks in prediction of pediatric fracture healing and time since injury ( Principal Investigator(PI))
  5. 2013 - 2016, Geran Penyelidikan Universiti Malaya (UMRG Programme) - SUS (Sustainability Science)
    Evaluation Of Environmental Impact Of Phytoplankton Community And Biodiversity In Lake And Coastal Water Of Malaysia ( Co-Researcher)
  6. 2014 - 2016, Postgraduate Research Grant (PPP) - Research
    Automated Diatom Identification And Classification System For Water Treatments In Selected Lakes Of Peninsular Malaysia ( Principal Investigator(PI))
  7. 2009 - 2011, Geran Penyelidikan Universiti Malaya (UMRG)
    A PROTOTYPE OF DECISION SUPPORT SYSTEM FOR PREDICTION OF ALGAE GROWTH IN TROPICAL WETLANDS AND LAKES ( Principal Investigator(PI))
  8. 2021 - 2023, Mosti TED Grant TDF03211036
    VISUALIZATION AND IMPACT OF AIR POLLUTION ON ACUTE CORONARY SYNDROME ONSET IN MALAYSIA , Ministry of Energy, Science, Technology, Environment and Climate Change (MESTECC) ( Co-Researcher)
  9. 2021 - 2023, FRGS
    Elucidating mechanism using data analytics to reduce wastage of subsidized medication towards sustainable healthcare in Malaysia, Kementerian Pendidikan Malaysia ( Co-Researcher)
  10. 2009 - 2012, Geran Penyelidikan Universiti Malaya (UMRG)
    A PROTOTYPE OF DECISION SUPPORT SYSTEM FOR PREDICTION OF ALGAE GROWTH IN TROPICAL WETLANDS AND LAKES ( Co-Inventor)
  11. 2008 - 2011, Short Term Research Fund (Vote F)(PJP)
    An artificial neural network approach for studying phytoplankton Tropical Wetlands (2008- 2009) ( Co-Inventor)

PAPER PRESENTED


PLENARY SPEAKER
  1. Ecological Informatics : Data mining and Knowledge Discovery , 2nd International Symposium on Bioinformatics , Perdana University , Kuala Lumpur  (International) (20 Dec 2018 - 21 Dec 2018)
INVITED SPEAKER
  1. UM Living Labs System, UM L I V I N G L A B S WE B I N A R 2 0 2 0 : UM A S L I V I N G L A B S - T R A C K I N G C AMP U S S U S T A I N A B I L I T Y P R O G R E S S, Universiti Malaya Sustainability & Living Labs Secretariat (UMSLLS) (University) (19 Nov 2020 - 19 Nov 2020)
ORAL PRESENTER
  1. Prediction of Short- and Long-Term Mortality in Asian ACS Patients Using Stacked Ensemble Learning, National Heart Association of Malaysia (NHAM) Annual Scientific Congress 2023, National Heart Association of Malaysia (NHAM) (International) (16 Jun 2023 - 18 Jun 2023)
POSTER PRESENTER
  1. Risk stratification of asian patients after ST-elevation myocardial infarction using machine learning methods., ESC Congress 2020, ESC  (International) (28 Aug 2020 - 31 Aug 2020)
PRESENTER
  1. Ceph-X: development and evaluation of 2D cephalometric system, INCOB 2016, Asia Pacific BioInformatics Network (APBioNET), Agency for Science, Technology and Research Singapore (A*STAR) and the Association for Medical and Bio Informatics Singapore (AMBIS), (International) (21 Sep 2016 - 23 Sep 2016)
  2. A Primary Study on Application of Artificial Neural Network in Classification of Pediatric Fracture Healing Time of the Lower Limb, UNIVERSITY OF SEVILLA - SEVILLA (SPAIN) SEPANYOL, springer and UNIVERSITY OF SEVILLA - SEVILLA (SPAIN) SEPANYOL (International) (01 Jun 2016 - 03 Jun 2016)
  3. Application of web services for Aquatic data warehouse system, 2015 2nd International Conference on Communication and Computer Engineering (ICOCOE), Springer International Publishing (International) (01 Jul 2015 - 03 Jul 2015)
  4. Challenges of Digital Note Taking, 2015 2nd International Conference on Communication and Computer Engineering (ICOCOE), Springer International Publishing (International) (01 Jul 2015 - 03 Jul 2015)
  5. Reviewing and Classification of Software Model Checking Tools, 2015 2nd International Conference on Computer and Communication Engineering, Springer International Publishing (International) (01 Jul 2015 - 03 Jul 2015)
  6. Dissolved Oxygen Prediction Using Support Vector Machine, ICBHES 2014 : XII International Conference on Biological, Health and Environmental Sciences, - (International) (01 Dec 2014 - 03 Dec 2014)
  7. Dissolved Oxygen Prediction Using Support Vector Machine , ICBHES 2014 : XII International Conference on Biological, Health and Environmental Sciences LONDON January 2014, World Academy of Science , Engineering and technology  (International) (18 Jan 2014 - 21 Jan 2014)
  8. Framework for Tropical Ecological Data Warehouse (TEDW) FOR Governance and Maintenance of Tropical Lakes, International Conference on Environmental and Computer Science IPCBEE, - (International) (01 Sep 2011 - 02 Sep 2011)
  9. A Comparison of ANN Architecture towards Predicting Cyanobacteria Abundance at Tropical Putrajaya Lake and Wetlands (01 Apr 2010)
  10. Analysis of Selected Algal Growth (Pyrrophyta) in Tropical Lake using Kohonen Self Organizing Feature Map (SOM) and its Prediction using Rule Based System, ICWET, - (International) (01 Apr 2010 - 03 Apr 2010)
  11. A comparison between Neural Network Based and Fuzzy Logic Models for Chlorophll-a Estimation, Second International Conference on Computer, - (International) (01 Apr 2010 - 03 Apr 2010)
  12. Prediction of Population Dynamics of Bacillariophyta in the Tropical Putrajaya Lake and Wetlands (Malaysia) by a Recurrent Artificial Neural Networks., International Conference on Environmental and Computer Science (ICECS),, - (International) (01 Dec 2009 - 03 Dec 2009)

ACADEMIC/PROF. SERVICES


Evaluation
  1. (2023) Predicting Mortality Amongst Jordanian Men With Heart Attacks Using The Chiad Mode, International, (Reviewer)
  2. (2023) Chatgpt Provides Inconsistent Risk-Stratification of Patients With Atraumatic Chest Pain, International, (Reviewer)
  3. (2023) Modeling and Predicting Meat Yield and Growth Performance Using Morphological Features of Narrow-Clawed Crayfish With Machine Learning Techniques, International, (Reviewer)
  4. (2023) An Artificial Intelligence Application for Predicting Postoperative in-Hospital Mortality in Hip Fracture Patients, International, (Reviewer)
  5. (2023) Machine-Learning-Based Risk Stratification for Probability of Dying in Patients With Basal Ganglia Hemorrhage, International, (Reviewer)
  6. (2023) Assessing The Value of Deep Neural Networks for Postoperartive Complication Prediction in Pancreaticoduodenectomy Patients, International, (Reviewer)
  7. (2023) Machine Learning Classification of Medication Adherence in Ncd Patients: a Retrospective Study, International, (Reviewer)
  8. (2023) Bench-Marking Feature Selection Methodologies for Diabetic Nephropathy Diagnosis, International, (Reviewer)
  9. (2023) Influence of Cardiovascular Risk Factors and Treatment Exposure On Cardiovascular Event Incidence: Assessment Using Machine Learning Algorithms, International, (Reviewer)
  10. (2023) Impact of Mobile Connectivity On Students’ Wellbeing: Detecting Learners’ Depression Using Machine Learning Algorithms, International, (Reviewer)
  11. (2023) A Machine Learning Approach to Predict Chagas Disease Infection, International, (Reviewer)
  12. (2023) Committee and Reviewer of Incob 2023 (22nd International Conference On Bioinformatics)., International, (Reviewer)
  13. (2023) Numerical Reasoning Reading Comprehension On Vietnamese Covid-19 News: Task, Corpus, and Challenges, International, (Reviewer)
  14. (2023) Machine Learning Prediction of Mortality in Acute Myocardial Infarction, International, (Reviewer)
  15. (2023) Hospital Mortality Prediction in Traumatic Injuries Patients: Comparing Different Smote-Based Machine Learning Algorithms, International, (Reviewer)
  16. (2023) Intelligent Recognition of Steel Plate Surface Defect Based On Deep Convolutional Gan, International, (Reviewer)
  17. (2023) A Learning-Based Nearly Optimal Control Framework for Trajectory Tracking of a Flexible-Link Manipulator System With Actuator Fault, International, (Reviewer)
  18. (2022) Review - Automatic Segmentation of Caenorhabditis Elegans Skeletons in Worm Aggregations Using Improved U-Net in Low-Resolution Image Sequences., International, (Reviewer)
  19. (2022) Review - Machine-Learning-Based Risk Stratification for Probability of Dying in Patients With Basal Ganglia Hemorrhage, International, (Reviewer)
  20. (2022) Second Review - Inhospitalmortality Prediction in Traumatic Injuries Patients :Comparing Different Smote-Based Machine Learning Algorithms, International, (Reviewer)
  21. (2022) Review - Unsupervised Machine Learning Inareal-World Pfo Study:Analysis of Data Frommulti- Centers Inchina, International, (Reviewer)
  22. (2022) Second Review - Artificial Neural Network Based Pore Size Prediction of Alginate Gel Scaffold for Targeted Drug Delivery, International, (Reviewer)
  23. (2022) Triple C Reporting Principles Forcase Study Evaluations of The Role Ofcontext Incomplex Interventions, International, (Reviewer)
  24. (2022) Review - Machine Learning Inareal-World Pfo Study:Analysis of Data Frommulti-Centers Inchina, International, (Reviewer)
  25. (2022) Second Review - Instance Segmentation Using Semi-Supervised Learning for Fire Recognition, International, (Reviewer)
  26. (2022) Review - Few-Shot Learning in Realistic Settings for Text Captcha Recognition, International, (Reviewer)
  27. (2022) Review - Instance Segmentation Using Semi-Supervised Learning for Fire Recognition, International, (Reviewer)
  28. (2022) Review - Instance Segmentation Using Semi-Supervised Learning for Fire Recognition, International, (Reviewer)
  29. (2022) Review - in Hospital Mortality Prediction in Traumatic Injuries Patients: Comparing Different Smote-Based Machine Learning Algorithms, International, (Reviewer)
  30. (2022) Review - Detectionof Statin-Inducedrhabdomyolysis and Muscularrelatedadverse Events Throughdata Mining Technique, International, (Reviewer)
  31. (2022) Review - Machine Learning Algorithms for Predicting in-Hospital Mortality in Patients With St-Segment Elevation Myocardial Infarction, International, (Reviewer)
  32. (2022) Second Review - Detection of Statin-Induced Rhabdomyolysis and Muscular Related Adverse Events Through Data Mining Technique, International, (Reviewer)
  33. (2022) Second Review - Interpretable Prediction of Mortality in Liver Transplant Recipients Based On Machine Learning Computers in Biology and Medicine, International, (Reviewer)
  34. (2022) Review - Predicting Acute Kidney Injury Risk in Acute Myocardial Infarction Patients: An Artificial Intelligence Model Using Mimic Databases, International, (Reviewer)
  35. (2022) Second Review - Effectiveness of Federated Learning and Cnn Ensemble Architectures for Identifying Brain Tumors Using Mri Images, International, (Reviewer)
  36. (2022) Review - Machine Learning-Derived Prediction of in-Hospital Mortality in Patients With Severe Acute Respiratory Infection: Analysis of Claims Data from The German-Wide Helios Hospital Network, International, (Reviewer)
  37. (2022) Review Article - Artificial Neural Network Based Pore Size Prediction of Alginate Gel Scaffold for Targeted Drug Delivery, International, (Reviewer)
  38. (2022) Review - Effect of Landuse On Floristic Composition and Diversity of Medicinal Plants in The Guinea Savanna Zone of Ghana, International, (Reviewer)
  39. (2022) Review - Detection of Statin-Induced Rhabdomyolysis and Muscular Related Adverse Events Through Data Mining Technique, International, (Reviewer)
  40. (2022) Review - Instance Segmentation Using Semi-Supervised Learning for Fire Recognition, International, (Reviewer)
  41. (2022) Review - Effectiveness of Federated Learning and Cnn Ensemble Architectures for Identifying Brain Tumors Using Mri Images, International, (Reviewer)
  42. (2022) Review - Interpretable Prediction of Mortality in Liver Transplant Recipients Based On Machine Learning Computers in Biology and Medicine, International, (Reviewer)
  43. (2022) Homegarden and Coffee Agroforestry Systems Plant Species Diversity and Composition in Yayu Biosphere Reserve, Southwest Ethiopia, International, (Internal Examiner)
  44. (2022) Review - a Multi-Layer Perceptron-Based Approach for Early Detection of Bsr Disease in Oil Palm Trees Using Hyperspectral Images, International, (Reviewer)
  45. (2022) Review - Recurrence Risk Prediction of Acute Coronary Syndrome Per Patient as a Personalized Acs Recurrence Risk, International, (Reviewer)
  46. (2021) Article Reviewer, International, (Reviewer)
  47. (2021) Article Review, International, (Reviewer)
  48. (2021) Review Article, International, (Reviewer)
  49. (2021) Review Article, International, (Reviewer)
  50. (2021) Review Journal Article, International, (Reviewer)
  51. (2021) Review Journal Article, International, (Reviewer)
  52. (2021) Reviewed Article, University, (Reviewer)
  53. (2021) Reviewer / Committee Member / Http://WWW.Ic-Bae.Org/Committees.Html, International, (Reviewer)
  54. (2021) Program Committee / Reviewer / The 12th International Conference On Computational Systems-Biology and Bioinformatics Csbio 2021, International, (Reviewer)
  55. (2021) Reviewer Article, International, (Reviewer)
  56. (2021) Journal Article Review, International, (Reviewer)
  57. (2021) Review Journal Article, International, (Reviewer)
  58. (2021) Reviewer Journal, University, (Reviewer)
  59. (2021) Reviewer Journal, University, (Reviewer)
  60. (2021) Review Journal, University, (Reviewer)
  61. (2021) Journal Review (Jun), International, (Reviewer)
  62. (2021) Reviewer Journal (Apr), International, (Reviewer)
  63. (2021) Reviewer, International, (Reviewer)
  64. (2021) Review Journal (Jan), International, (Reviewer)
  65. (2021) Journal Reviewer, International, (Reviewer)
  66. (2020) Scientific Committee and reviewer for CSbio 2020 , (Scientific Committee)
  67. (2020) BMC medical informatics and decision making , (Reviewer)
  68. (2020) Incob 2020 reviewer and scientific commitee, (Scientific Committee)
  69. (2020) Review journal article for Computers in biology , (Reviewer)
  70. (2020) Review journal article for NeuralComputing and Applications , (Reviewer)
  71. (2019) BMC medical informatics and decision Making , (Reviewer)
  72. (2019) 2019 International Conference on Engineering and Computing (ICEEComp2019) and PEOCO2019 reviewer , (Reviewer)
  73. (2019) Review Journal article for Neural Computing and Applications Journal , (Reviewer)
  74. (2019) Scientific committee and reviewer for INCOB 2019 , (Scientific Committee)
  75. (2018) International scientific Committee Member and Reviewer of conference article of International Conference on Computational Systems-Biology and Bioinformatics (CSBio 2018), (Scientific Committee)
  76. (2018) Review journal article for Neural Computing and Application , (Reviewer)
  77. (2018) Program Member and Reviewer for Incob 2018 Article proceedings and BMC journal article proceeding for International Conference on Bioinformatics , (Scientific Committee)
  78. (2017) Phd Thesis Internal examiner , (Internal Examiner)
  79. (2017) INCOB Conference Program committee 2017, (Scientific Committee)
  80. (2017) INCOB conference reviewer , (Reviewer)
  81. (2017) Review Journal article for Neural Computing and Applications Journal , (Reviewer)
  82. (2016) Reviewer for Tropical Life Sciences Research Journal Paper, (Reviewer)
  83. (2015) Reviewer for International Conference On Computational Systems Biology and Bioinformatics 2015 , (Reviewer)
  84. (2015) Review journal article in Frontiers in Life Science, (Reviewer)
  85. (2015) Program Committee for International Conference On Computational Systems Biology and Bioinformatics 2015 , (Scientific Committee)
  86. (2014) examiner for Masters Thesis : Malaysian fern Database Mumtaz Beham binti Abdul Rashid (SGR080125), (Internal Examiner)
  87. (2014) Review paper for Applied Water Science Ms. No. AWSC-D-14-00186 Eutrophication modelling using artificial neural networks and Fuzzy Inference System, (Reviewer)
  88. (2013) reviewed paper"Generalized Regression and Feed Forward Neural Networks for estimating time-dependent environmental criteria" (#NCA-3152) for the Neural Computing & Applications journal., (Reviewer)
  89. (2013) Review conference paper and technical comitte for ICECS 2013(www.icecs.org). , (Scientific Committee)
  90. (2013) program committee and review paper for CSBio 2013 (4th International Conference on Computational Systems-Biology and Bioinformatics). , (Scientific Committee)
  91. (2013) Review publication in Knowledge and Management of Aquatic Ecosystems (http://www.kmae-journal.org): Title: Determinants of phytoplankton biomass in tropical reservoirs, (Reviewer)
  92. (2012) member of the Program Committee of track BMC Genomics, track BMC Bioinformatics,and review 3-4 papers from mid-April until end of May., (Scientific Committee)
  93. (2012) Journal of Freshwater Ecology - Invitation to Review Manuscript ID TJFE-2012-0029, (Reviewer)
  94. (2012) Review 4 articles for BMC Bioinformatics and BMC Genomics Track., (Reviewer)
Contribution to external organisation
  1. (2020) UM L I V I N G L A B S WE B I N A R 2 0 2 0 : UM A S L I V I N G L A B S - T R A C K I N G C AMP U S S U S T A I N A B I L I T Y P R O G R E S S, UM Living Lab
  2. (2018) National Workshop On UI Green Index Matrix for Malaysian Universities , UI Green Index University Ranking
  3. (2018) UI Green Matrix Ranking for UM , UI Green Matrix , Eco Campus
Contribution to event
  1. (2022) Program Committee of Incob 2022 Virtual Conference (International Conference On Bioinformatics 2022)., International, (Event Coordinator)
  2. (2021) Chairperson, University, (Panelist/Moderator)
  3. (2020) Speaker, University, (Course Facilitator)
  4. (2020) Exhibitor, National, (Participant)
  5. (2019) Exhibitor, National, (Participant)
  6. (2018) Participant, University, (Participant)
  7. (2018) AJK Bio Symposium Isb , Faculty Science, University, (Event Coordinator)
  8. (2018) Participant in National Seminar On Sustainable Consumption, National, (Participant)

SUPERVISION


Postgraduate Student
PhD/ Doctoral
  1. (2023) Prediction of Onset Acute Coronary Syndrome Events and In-Hospital Mortality using Machine Learning Approaches, SONG CHEEN
  2. (2023) APPLICATION OF MACHINE LEARNING AND DEEP LEARNING ALGORITHM IN PREDICTING CARDIAC AND MORTALITY RISK IN MALAYSIA, PUTRI NUR FATIN BINTI AMIR RUDIN
  3. (2023) : Heart Disease Detection using Echocardiogram based on Deep Learning, JUNJIE TANG
  4. (2023) PREDICTING MORTALITY RISK OF APAC STEMI PATIENTS USING ARTIFICIAL INTELLIGENCE, LIM BING FENG
  5. (2023) CARDIOVASCULAR RISK ASSESSMENT AND STRATIFICATION IN HYPERTENSIVE PATIENTS THROUGH MACHINE LEARNING TECHNIQUES, XUE NING KIEW
  6. (2022) Developing an Ecological Visualization System for Biodiversity and Water Quality Data, CHAM HUI
  7. (2022) Paediatric Orthopaedic Fracture Healing Prediction System, LAU CHIA FONG
  8. (2021) PREDICTING MORTALITY OF MALAYSIAN PATIENTS WITH ACUTE CORONARY SYNDROME (ACS) SUBTYPES USING MACHINE LEARNING AND DEEP LEARNING APPROACHES, MUHAMMAD FIRDAUS BIN AZIZ
  9. (2020) UTILIZATION, SPATIAL ANALYSIS AND APPLICATION OF SELF ORGANIZING MAP ON DIVERSITY OF PLANT RESOURCE IN HOMEGARDENS, MOHD RAZNAN BIN RAMLI
  10. (2018) Home Gardens : A Promising Model for Conservation, Research and Utilization of Tropical Biological Diversity., MOHD RAZNAN BIN RAMLI
  11. (2017) ORTHOPAEDIC EXPERT SYSTEM, LAU CHIA FONG
  12. (2017) AUTOMATED IMAGE RECOGNITION AND CLASSIFICATION OF MICROALGAE FROM SELECTED THERMAL SPRINGS IN PENINSULAR MALAYSIA, CHIDI O EGBEOCHA
  13. (2016) AUTOMATED IMAGE RECOGNITION AND CLASSIFICATION OF MICROALGAE FROM SELECTED THERMAL SPRINGS IN PENINSULAR MALAYSIA, CHIDI O EGBEOCHA
  14. (2015) home gardens: a promising model for conservation , research and utilization of tropical biological diversity, Raznan Mohd. Ramli
Master
  1. (2022) Deep learning method of classification of leukemia using bone marrow smear images, BRYAN LIEW
  2. (2022) MyHeart Risk- Application of Machine Learning Algorithm in Predicting Risks of Developing a Specific Type of Cardiovascular Disease in 10-Year Time using REDISCOVER dataset., LAU JI HEN
  3. (2022) Implementing Ensembled Learning and Machine Learning Algorithm In Predicting of In-Hospital Mortality for Disease Specific Patient with, CHIEN WEN KOH
  4. (2022) Elucidating mechanism using data analytics to reduce wastage of subsidized medication towards sustainable healthcare in Malaysia, ILHAM MAHAMOOD
  5. (2021) DEVELOPING A MACHINE LEARNING MODEL TO ESTIMATE CARDIOVASCULAR DISEASES RISK IN THE MALAYSIAN POPULATION, NURULAIN BINTI IBRAHIM (Universiti Teknologi Mara (Uitm))
  6. (2020) AUTOMATED ALGAE IDENTIFICATION AND CLASSIFICATION IN MALAYSIA FRESHWATER AND HOT SPRING SYSTEMS, TANG JUNJIE
  7. (2019) SURVIVAL VERSUS NON-SURVIVAL PREDICTION AFTER ACUTE CORONARY SYNDROME IN MALAYSIAN POPULATION USING MACHINE LEARNING TECHNIQUE, NANYONGA AZIIDA
  8. (2018) SURVIVAL VERSUS NON-SURVIVAL PREDICTION AFTER MYOCARDIAL INFARCTION IN A MALAYSIAN POPULATION USING MACHINE LEARNING TECHNIQUES, NANYONGA AZIIDA
  9. (2018) PREDICTION OF MORTALITY AFTER 90 DAYS IN MALAYSIAN PATIENTS WITH MYOCARDIAL INFARCTION USING MACHINE LEARNING METHOD, MUHAMMAD FIRDAUS BIN AZIZ
  10. (2016) MACHINE LEARNING TECHNIQUE IN APPLICATION AND COMPARISON IN PEDIATRIC FRACTURE HEALING TIME, KEDIJA SEID YESUF
  11. (2016) MACHINE LEARNING TECHNIQUE IN APPLICATION AND COMPARISON IN PEDIATRIC FRACTURE HEALING TIME, KEDIJA SEID YESUF
  12. (2015) MACHINE LEARNING TECHNIQUE IN APPLICATION AND COMPARISON IN PEDIATRIC FRACTURE HEALING TIME., KEDIJA
  13. (2013) COMPARISON OF HEA, FUZZY AND ANN IN ANALYSIS OF PHYTOPLANKTON GROWTH OF TROPICAL LAKES IN MALAYSIA, OH JIN HENG
  14. (2010) DEVELOPMENT OF AN ONLINE ECOLOGICAL DATA WAREHOUSE, CHAM HUI
  15. (2008) A preliminary Study on Automatic Recognition of Freshwater Algae, Hayat Mansoor Abdullah
  16. (2008) A PRELIMINARY STUDY ON AN AUTOMATED FRESHWATER ALGAE RECOGNITION AND CLASSIFICATION SYSTEM, HAYAT MANSOOR ABDULLAH ALAGHBARI
  17. (2008) Application of Hybrid Evolutionary Algorithm with Thematic Map based data visualisation, Lau Chiah Fong
  18. (2008) APPLICATION OF HYBRID EVOLUTIONARY ALGORITHM AND THEMATIC MAP FOR RULE SET GENERATION AND VISUALIZATION OF CHLOROPHYTA ABUNDANCE AT PUTRAJAYA LAKES AND WETLANDS, LAU CHIA FONG
  19. (2008) Analysis of Water Quality using Hybrid Combination of Self Organizing Maps and Fuzzy Intelligent System, Mohammed Balkit Turki
Under Graduate Students
  1. (2022) Hand arthritis prediction using deep learning
  2. (2022) Ensemble learning in mortality prediction post ACS - one year
  3. (2022) Ensemble learning in mortality prediction post ACS
  4. (2022) Industrial Training, nur izzati, Chan wen shan
  5. (2021) Mortality prediction post ACS in Elderly using ML
  6. (2021) ACS and diabetes and ML
  7. (2021) ACS and CC prediction using ML
  8. (2016) Application of Machine Learning in Pharmaceutical data
  9. (2013) Fracture Prediction
  10. (2013) Diatom Recognition
  11. (2011) Automatic Identification of Freshwater Algae (Diatoms)
  12. (2010) Automatic Freshwater Algae Recognition

TEACHING


Master
  1. (2023) SQF7025 - Information System
  2. (2022) SQF7022 - Data Science in Bioinformatics
  3. (2022) SQF7015 - Human Computer Interaction
  4. (2021) SQF7015 - Human Computer Interaction
  5. (2018) SQF7002 - Bioinformatics Research Project
  6. (2017) SHGS6222 - Entrepreneurship, Innovation and Emerging Technology
  7. (2017) SHGS6416 - Ecological Informatics
  8. (2017) SQF7009 - Entrepreneurship, Innovation and Emerging Technology
  9. (2017) SQF7012 - Ecology Informatics
  10. (2016) SHGS6416 - Ecological Informatics
  11. (2015) SHGS6416 - Ecological Informatics
  12. (2014) SHGS6416 - Ecological Informatics
Bachelor
  1. (2023) SIO1004 - Introduction to Computer Programming in Bioinformatics
  2. (2022) SIV2014 - Human Computer Interaction
  3. (2022) SIO1004 - Introduction to Computer Programming in Bioinformatics
  4. (2022) SIV2007 - System Analysis and Design
  5. (2021) SIV2004 - Computer Programming
  6. (2021) SIV2014 - Human Computer Interaction
  7. (2021) SIO1004 - Introduction to Computer Programming in Bioinformatics
  8. (2021) SIV2007 - System Analysis and Design
  9. (2021) SIO1004 - Introduction to Computer Programming in Bioinformatics
  10. (2021) SIV2004 - Computer Programming
  11. (2020) SIV2004 - Computer Programming
  12. (2020) SIV2007 - System Analysis and Design
  13. (2020) SIV2014 - Human Computer Interaction
  14. (2020) SIV3011 - Current Topics in Bioinformatics
  15. (2020) SQF7015 - Human Computer Interaction
  16. (2018) System Analysis and Design
  17. (2018) SIV2004 - Computer Programming
  18. (2018) SIV2004 - Computer Programming
  19. (2018) SIV2007 - System Analysis and Design
  20. (2018) SIV2014 - Human Computer Interaction
  21. (2018) SIV2014 - Human Computer Interaction
  22. (2018) SIV2014 - Human Computer Interaction
  23. (2018) SIV3008 - Introduction to Geographic Information Systems
  24. (2018) SQF7015 - Human Computer Interaction
  25. (2017) SHEB3307 - Ecological Instrumentation and Informatics
  26. (2017) SHEB3386 - Current Topics in Bioinformatics
  27. (2017) SIV2004 - Computer Programming
  28. (2017) SIV2007 - System Analysis and Design
  29. (2017) SIV3008 - Introduction to Geographic Information Systems
  30. (2017) SIV3011 - Current Topics in Bioinformatics
  31. (2016) SHEB2302 - Information System
  32. (2016) SHEB2401 - Computer Programming
  33. (2016) SHEB3307 - Ecological Instrumentation and Informatics
  34. (2016) SIV2004 - Computer Programming
  35. (2016) SIV2007 - System Analysis and Design
  36. (2015) SHEB2302 - Information System
  37. (2015) SHEB2401 - Computer Programming
  38. (2015) SHEB3386 - Current Topics in Bioinformatics
  39. (2015) SHEB3386 - Current Topics in Bioinformatics
  40. (2014) SHEB2401 - Computer Programming
  41. (2014) SHEB3307 - Ecological Instrumentation and Informatics
  42. (2014) SHEB3317 - Anthology of Programming Languages
  43. (2014) SHEB3386 - Current Topics in Bioinformatics
  44. (2011) SHEB2302 - Information System
  45. (2011) SHEB2401 - Computer Programming
  46. (2011) SHEB3307 - Ecological Instrumentation and Informatics
  47. (2011) SHES3186 - Bioinformatic Project
  48. (2011) SHES3318 - Computer Programming Ii
  49. (2011) SHES3396 - Bioinformatic Industrial Training

PATENT/IPR


  • A data warehouse system for management of ecological data relating to tropical lakes and wethlands
    PATENT
  • MACHINE LEARNING BASED CALCULATOR FOR PREDICTING MYOCARDIAL INFARCTION MORTALITY
    Patent (National)
  • Myheart Stemi risk stratification calculator
    Filed/Pending (University)
  • University of Malaya Hydrological System (UMH20)
    COPYRIGHT
  • University of Malaya Living Lab System
    Copyright (University)
  • University of Malaya Hydrological system
    Copyright (University)

SOCIAL RESPONSIBILITY ACTIVITIES


  • R Programming Camp by Biomedical Science Society, (25 Feb 2023 - 25 Feb 2023) (University)
  • Workshop On Programming for Bioinformatics in Python for Speak Up Project Aiesec in The University of Malaya, (28 Aug 2022 - 28 Aug 2022) (University)

COURSE ATTENDED


Internal / External Course
RESEARCH
  1. ML CALCULATOR FOR MORTALITY PREDICTION AFTER ACS, (01 Apr 2020 - 29 Jun 2020)