Curriculum Vitae

DR. CHANG SIOW WEE

Senior Lecturer
  • Institute of Biological Sciences
    Faculty of Science
  • +603-7967 7296

BIOGRAPHY

Siow-Wee Chang is a senior lecturer in the Bioinformatics Programme at the Institute of Biological Sciences, Faculty of Science, Universiti  Malaya, Malaysia. She received her Ph.D. in Computer Science with a focus on Artificial Intelligence (AI) from Universiti Malaya, Malaysia. To date, she has published more than 30 papers in respectable journals and conference proceedings both locally and internationally. Her current research areas encompass artificial intelligence (AI), bioinformatics, medical informatics, data science and human-computer interaction. Siow-Wee Chang’s research interests covered multi-disciplinary topics bridging life sciences and computer sciences, focusing on disease diagnosis and prognosis prediction using AI approaches. Her work particularly addresses cardiovascular diseases, osteoarthritis (OA), Alzheimer’s disease and cancer studies. Additionally, she also involved in flora and fauna studies, for example plant species and plant disease identification and marine species identification. These studies integrate the knowledge of biology, image analysis, machine learning and deep learning. The aims of these studies are to discover interesting patterns from the biological/medical data and elucidate the relationships between these data. Moreover, Siow-Wee Chang is also actively engaged in research related to omics profiling analysis, biomarker discovery and drug discovery & repurposing. Her studies utilized multi-omics approach, gene expression analysis, spatial transcriptomics, and AI methods. The goals of these studies are to identify potential disease biomarkers and discover drugs that can enhance the therapeutic process. She is also a member of the Malaysian Society of Bioinformatics and Computational Biology (MaSBiC).

AREAS OF EXPERTISE

  • ARTIFICIAL INTELLIGENCE
  • BIOINFORMATICS AND MEDICAL INFORMATICS
  • HUMAN COMPUTER INTERACTION
  • DATA ANALYTICS AND MACHINE LEARNING

ACADEMIC QUALIFICATION

  • B.QS (UM), (Ukur Bahan)
    Universiti Malaya (UM)
  • MSc(UPM), (Information Systems, Technology & Management)
    Universiti Putra Malaysia (UPM)
  • PhD (UM), (Computer Science)
    Universiti Malaya (UM)

ADMINISTRATIVE DUTIES

  • Timetable Coordinator
    04 Oct 2021 - 30 Sep 2023 (Department)
  • Head Coordinator
    01 Mar 2017 - 28 Feb 2023 (Institute of Biological Sciences, Faculty of Science)
  • Committee Members
    01 Sep 2019 - 31 Dec 2021 (Department)
  • Coordinator
    06 Sep 2013 - 30 Sep 2021 (Institute of Biological Sciences, Faculty of Science)
  • AHLI JAWATANKUASA SEMAKAN KURIKULUM PROGRAM BIOINFORMATIK
    02 Jan 2019 - 31 Dec 2020 (Institute of Biological Sciences, Faculty of Science)
  • Coordinator KPI Research Institute of Biological Sciences
    05 Apr 2016 - 31 Dec 2019 (Institute of Biological Sciences, Faculty of Science)
  • Panel of Academic Advisor for Program Bioinformatics
    27 Aug 2013 - 31 Aug 2016 (Institute of Biological Sciences, Faculty of Science)
  • Committee Members
    15 Nov 2013 - 31 Dec 2014 (Institute of Biological Sciences, Faculty of Science)

MEMBERSHIPS

  • MALAYSIAN SOCIETY OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, MEMBER
    2019 to 2021 (National)

AWARD AND STEWARDSHIP

  • EXCELLENCE SERVICE AWARD
    University of Malaya, 2023 (University)
  • CERTIFICATE OF EXCELLENT SERVICE
    University of Malaya, 2020 (University)
  • First Runner-up in Biosymposium 2020
    University of Malaya, 2020 (Ptj/ Faculty)
  • Best Poster Presenter at 24th Biological Sciences Graduate Congress
    University of Malaya, 2019 (International)
  • 2nd Runner-up (Poster Presentation) at 24th Biological Sciences Graduate Congress
    University of Malaya, 2019 (International)
  • Runner-up in Poster Presentation at Biological Sciences Graduate Congress
    National University Singapore, 2017 (International)

PUBLICATIONS

Article in Journal
WoS
  1. Chiew, Seow-Fan; Looi, Lai-Meng; Cheah, Phaik-Leng; Teoh, Kean-Hooi; Chang, Siow-Wee; Abdul Sani, Siti-Fairus (2023). Epithelial-mesenchymal transition profiles in triple negative breast carcinoma may explain its aggressive nature, MALAYSIAN JOURNAL OF PATHOLOGY. 45(3), 363-374
  2. Faizal, Aizatul Shafiqah Mohd; Hon, Wei Yin; Thevarajah, T. Malathi; Khor, Sook Mei; Chang, Siow-Wee (2023). A biomarker discovery of acute myocardial infarction using feature selection and machine learning, MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING. . doi:10.1007/s11517-023-02841-y
  3. Lim, Wui Zhuan; Chang, Siow Wee; Teoh, Teow Chong (2023). Pathway analysis of host responses to dengue virus serotype 2 infection and inhibition of viral envelope protein by naringenin from Ganoderma lucidum, JOURNAL OF BIOSCIENCES. 48(4). doi:10.1007/s12038-023-00370-2
  4. Low, Joyce Siew Yong; Thevarajah, T. Malathi; Chang, Siow Wee; Khor, Sook Mei (2023). Paper-based multiplexed colorimetric biosensing of cardiac and lipid biomarkers integrated with machine learning for accurate acute myocardial infarction early diagnosis and prognosis, SENSORS AND ACTUATORS B-CHEMICAL. 394. doi:10.1016/j.snb.2023.134403
  5. Tan, Mei Sze; Cheah, Phaik-Leng; Chin, Ai-Vyrn; Looi, Lai-Meng; Chang, Siow-Wee (2023). Differential Expression Analysis of Blood MicroRNA in Identifying Potential Genes Relevant to Alzheimer's Disease Pathogenesis, Using an Integrated Bioinformatics and Machine Learning Approach, APPLIED SCIENCES-BASEL. 13(5). doi:10.3390/app13053071
  6. Faizal, A. S. M., Thevarajah, T. M., Khor, S. M., & Chang, S. W. (2021). A review of risk prediction models in cardiovascular disease: conventional approach vs. artificial intelligent approach. Computer Methods and Programs in Biomedicine, 207, 11. doi: 10.1016/j.cmpb.2021.106190
  7. Loti, N. N. A., Noor, M. R. M., & Chang, S. W. (2021). Integrated analysis of machine learning and deep learning in chili pest and disease identification. Journal of the Science of Food and Agriculture, 101(9), 3582-3594. doi: 10.1002/jsfa.10987
  8. Tan, C. H., Yap, H. J., Musa, S. N., Chang, S. W., Sivadas, C. S., Hisaburi, A. S., . . . Baharudin, L. H. (2021). Augmented reality assisted facility layout digitization and planning. Journal of Mechanical Science and Technology, 35(9), 4115-4123. doi: 10.1007/s12206-021-0823-6
  9. Tan, H. Y., Goh, Z. Y., Loh, K. H., Then, A. Y. H., Omar, H., & Chang, S. W. (2021). Cephalopod species identification using integrated analysis of machine learning and deep learning approaches. Peerj, 9, 24. doi: 10.7717/peerj.11825
  10. Tan, M. S., Cheah, P. L., Chin, A., Looi, L. M., & Chang, S. W. (2021). A review on omics-based biomarkers discovery for Alzheimer's disease from the bioinformatics perspectives: Statistical approach vs machine learning approach. Computers in Biology and Medicine, 139, 14. doi: 10.1016/j.compbiomed.2021.104947
  11. Low, J. S. Y., Thevarajah, T. M., Chang, S. W., Goh, B. T., & Khor, S. M. (2020). Biosensing based on surface-enhanced Raman spectroscopy as an emerging/next-generation point-of-care approach for acute myocardial infarction diagnosis. Critical Reviews in Biotechnology, 40(8), 1191-1209. doi: 10.1080/07388551.2020.1808582
  12. Tan, J. W., Chang, S. W., Abdul-Kareem, S., Yap, H. J., Yong, K. T. (2020). Deep Learning for Plant Species Classification Using Leaf Vein Morphometric. Ieee-Acm Transactions on Computational Biology and Bioinformatics, 17(1), 82-90. doi: 10.1109/tcbb.2018.2848653
  13. Cheah, P. L., Li, J., Looi, L. M., Koh, C. C., Lau, T. P., Chang, S. W., . . . Nazarina, A. R. (2019). Screening for microsatellite instability in colorectal carcinoma: practical utility of immunohistochemistry and PCR with fragment analysis in a diagnostic histopathology setting. Malaysian Journal of Pathology, 41(2), 91-100.
  14. Musa, R. M., Majeed, A., Taha, Z., Chang, S. W., Ab Nasir, A. F., Abdullah, M. R. (2019). A machine learning approach of predicting high potential archers by means of physical fitness indicators. Plos One, 14(1), 12. doi:10.1371/journal.pone.0209638
  15. Mohamad-Matrol, A. A., Chang, S. W., Abu, A. (2018). Plant data visualisation using network graphs. Peerj, 6, 26. doi:10.7717/peerj.5579
  16. Tan, Mei Sze; Chang, Siow-Wee; Cheah, Phaik Leng; Yap, Hwa Jen (2018). Integrative machine learning analysis of multiple gene expression profiles in cervical cancer, PEERJ. 6. doi:10.7717/peerj.5285
  17. Murat, Miraemiliana; Chang, Siow-Wee; Abu, Arpah; Yap, Hwa Jen; Yong, Kien-Thai (2017). Automated classification of tropical shrub species: a hybrid of leaf shape and machine learning approach, PEERJ. 5. doi:10.7717/peerj.3792
  18. Tan, Mei Sze; Tan, Jing Wei; Chang, Siow-Wee; Yap, Hwa Jen; Kareem, Sameem Abdul; Zain, Rosnah Binti (2016). A genetic programming approach to oral cancer prognosis, PEERJ. 4. doi:10.7717/peerj.2482
  19. Wong, Shen Yuong; Yap, Keem Siah; Yap, Hwa Jen; Tan, Shing Chiang; Chang, Siow Wee (2015). On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 26(7), 1417-1430. doi:10.1109/TNNLS.2014.2341655
  20. Chang, Siow-Wee; Kareem, Sameem Abdul; Merican, Amir Feisal Merican Aljunid; Zain, Rosnah Binti (2014). A Hybrid Prognostic Model for Oral Cancer based on Clinicopathologic and Genomic Markers, SAINS MALAYSIANA. 43(4), 567-573
  21. Yap, Hwa Jen; Taha, Zahari; Dawal, Siti Zawiah Md; Chang, Siow-Wee (2014). Virtual Reality Based Support System for Layout Planning and Programming of an Industrial Robotic Work Cell, PLOS ONE. 9(10). doi:10.1371/journal.pone.0109692
  22. Chang, Siow-Wee; Abdul-Kareem, Sameem; Merican, Amir Feisal; Zain, Rosnah Binti (2013). Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods, BMC BIOINFORMATICS. 14. doi:10.1186/1471-2105-14-170
  23. Chang, Siow-Wee; Kareem, Sameem Abdul; Kallarakkal, Thomas George; Merican, Amir Feisal Merican Aljunid; Abraham, Mannil Thomas; Zain, Rosnah Binti (2011). Feature Selection Methods for Optimizing Clinicopathologic Input Variables in Oral Cancer Prognosis, ASIAN PACIFIC JOURNAL OF CANCER PREVENTION. 12(10), 2659-2664
ESCI
  1. Fangrit, Waraporn; Yap, Hwa Jen; Hamza, Mukhtar Fatihu; Chang, Siow-Wee; Yap, Keem Siah; Wong, Shen Yuong (2020). An efficiency improvement of flexible flow shop scheduling in automotive part company, INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS. 14(4), 493-506. doi:10.3233/IDT-200006
Scopus
  1. Chia J.A., Tan M.S., Chang S.-W. (2023). An integrative bioinformatics approach in microRNA data analytics of Alzheimer s disease, Science, Engineering and Health Studies. 17
  2. Tan C.H., Tan M.S., Chang S.-W., Yap K.S., Yap H.J., Wong S.Y. (2018). Genetic algorithm fuzzy logic for medical knowledge-based pattern classification, Journal of Engineering Science and Technology. 13(Special Issue on ICCSIT 2018), 242-258
Chapter in Books
  1. Hwa-Jen Yap, Zahari Taha, Seow Wei Ng, Siow-Wee Chang (2013). Virtual Assembly System Using an Ergonomics Co-Location Workstation. Frontiers of Business, Management and Economics: An Interdisciplinary Collection of Managerial Research Findings and Breakthroughs. ISBN-10: 1-61233-265-X, ISBN-13: 978-1-61233-265-9. Universal-Publishers, 5 Jun 2013, pp 146-151
Article in Proceeding
  1. CY Ho, CH Tan, HJ Yap, Siow-Wee Chang (2019). Interactive 3D Visualization for Tropical Plant Species, Proceedings of the Asia Pacific Industrial Engineering & Management Systems Conference 2019, 2-5 December 2019, Kanazawa, Japan.
  2. Hwa Jen YAP, Yun Suen PAI, Siow-Wee CHANG and Keem Siah YAP (2015). Development of an Augmented Reality-Based G-Code Generator in a Virtual CNC Milling Simulation. International Symposium on Electrical, Electronic Engineering and Digital Technology (SEDT) 2015, 2-4 Dec 2015, Tokyo, Japan. pp 329-339
  3. Hwa Jen Yap, Jenn Guey Ng, Zahari Taha, Siow Wee Chang, Keem Siah Yap (2015). Design and Development of 6 DOF System for Virtual Bicycle Simulator. International Conference on Movement, Health and Exercise (MoHE 2015), 5-7 October 2015, Penang, Malaysia. pp 45.
  4. Yun Suen Pai, Hwa Jen Yap, S. Ramesh, Siow-Wee Chang, and Kok Leong Royston Cheong (2014). Augmented Reality Assisted Factory Layout Planning and Analysis for a Flexible Manufacturing Cell. 3rd International Conference on Computer Science and Computational Mathematics 2014 (ICCSCM 2014). 8-9 May 2014, Aseania Resort & Spa Langkawi, Malaysia.
  5. Hwa-Jen Yap, Zahari Taha, Seow Wei Ng, Siow-Wee Chang (2012). Virtual Assembly System Using an Ergonomics Co-Location Workstation. Proceedings of International Management and Engineering Conference 2012 (EMC 2012), 24 & 25 October, 2012
  6. Siow-Wee, C., Abdul-Kareem, S., Zain, R. B., & Merican, A. F. (2010). A Bootstrap-ANFIS Framework for Oral Cancer Prognosis Based on Clinical and Genomic Markers, 3rd IEEE International Conference on Computer Science and Information Technology, Vol. 6, pp. 487-491, Chengdu, China, 9-11 July 2010
  7. Yap Hwa Jen, Chang Siow Wee, Zahari Taha, Ang Fong Chin (2007). Pattern recognition for Non-linear Profiles by using Simulink, International Conference on Ergonomics 2007 (ICE 2007), pp 7-12, ISBN 978-983- 2085-91-1, Kuala Lumpur, Malaysia, 3-5 December 2007
  8. Yap Hwa Jen, Zahari Taha, Chang Siow Wee, Foong Kok Hao, Lee Jui Vui (2007). Interactive 3D Simulator for Industrial Robot, MMU International Symposium on Information and Communications Technologies 2007 (M2USIC 2007), ISBN 983-43160-0-3, Petaling Jaya, Malaysia, 19-20 November 2007
  9. Yap Hwa Jen, Zahari Taha, Chua Hooi Hoon, Chang Siow Wee, Lee Jer Vui (2007). Development of a Low Cost 3-D Digitizer for Sketching and Reverse Engineering. International Conference on Ergonomics 2007 (ICE 2007), pp 13-18, ISBN 978-983-2085-91-1, Kuala Lumpur, Malaysia, 3-5 December 2007
Other Publications
  1. Mohamad-Matrol A. A., Chang, S.W.., Abu, A. (2017) Plant Data Annotation and Retrieval using Semantic, International Symposium in Science and Technology, Penang, 14-16th August 2017. - Extended Abstract

RESEARCH PROJECT

National
  1. 2021 - 2024, Fundamental Research Grant Scheme (FRGS)
    A Multi-modality Investigation On The Prediction Of Early Diagnosis Of Oa With The Integration Of Deep Learning And Molecular Metabolic Profiles Approach ( Co-Researcher)
  2. 2022 - 2024, UM International Collaboration Grant
    1. A Machine Learning Framework for Drug Repurposing in Alzheimer's Disease 2. Biomaker Discovery in Coronary Artery Disease through Transcriptomic Analysis and Machine Learning Approach ( Principal Investigator(PI))
  3. 2019 - 2023, Fundamental Research Grant Scheme (FRGS)
    A Machine Learning Integrated Framework For Investigating Potential Biomarkers In Alzheimer?s Disease ( Principal Investigator(PI))
  4. 2019 - 2023, Others MOHE - Top 100 (IIRG)-IISS
    Gamification In Virtual-reality Based Manufacturing Training Module ( Co-Researcher)
  5. 2019 - 2022, RU Geran - Fakulti Program
    Virtual Reality Based Ergonomics Assessment System Of Drilling Process For Aerospace Manufacturing Industries ( Co-Researcher)
  6. 2018 - 2021, RU Geran - Fakulti Program
    Manual Assembly Modelling And Real-time Simulation For Ergonomics Analysis Using Virtual Reality Technology ( Co-Researcher)
  7. 2019 - 2021, Others MOHE - Top 100 (IIRG)-HWB
    Big Data Analytics In Diagnosis And Prognosis Of Acute Myocardial Infarction (ami): A Machine Learning Based Approach ( Principal Investigator(PI))
  8. 2019 - 2021, RU Geran
    Augmented Reality-based Programming And Simulation System Of An Industrial Robotic Work Cell ( Co-Researcher)
  9. 2019 - 2021, RU Geran
    Identification Of Chili Plant Disease Using Machine Learning Approach: A Step Towards Precision Agriculture ( Principal Investigator(PI))
  10. 2015 - 2019, Geran Penyelidikan Universiti Malaya (UMRG Programme) - AET (Innovative Technology (ITRC))
    Ontology Driven Plant Species Data Management ( Co-Researcher)
  11. 2015 - 2019, Geran Penyelidikan Universiti Malaya (UMRG Programme) - AET (Innovative Technology (ITRC))
    Automated Plant Species Classification And Identification ( Principal Investigator(PI))
  12. 2015 - 2019, Fundamental Research Grant Scheme (FRGS)
    Fundamental Study Of Adaptive Gyroscopic Stabilization Approach In Unstable Dynamical Systems ( Co-Researcher)
  13. 2014 - 2016, Bantuan Kecil Penyelidikan (BKP)
    Feature Selection in Cancer Microarray Analysis ( Principal Investigator(PI))

PAPER PRESENTED

INVITED SPEAKER
  1. AI in Biological Data Analytics, 2021 NYCU UM Bilateral Virtual Symposium in Biotechnology & Biomedicine, National Yang Ming Chiao Tung University & Faculty of Medicine, Universiti Malaya (International) (11 Mar 2021 - 11 Mar 2021)
ORAL PRESENTER
  1. An Integrative Bioinformatics Approach in microRNA Data Analytics of Alzheimer s Disease, 4th Asia Joint Conference on Computing (AJCC 2023), Silpakorn University (International) (26 Apr 2023 - 28 Apr 2023)
  2. Interactive 3D Visualization for Tropical Plant Species, The 20th Asia Pacific Industrial Engineering and Management Systems (APIEMS 2019), Asia Pacific Industrial Engineering and Management Society (International) (02 Dec 2019 - 05 Dec 2019)
  3. Automated Tropical Plant Species identification Using Deep Learning and Leaf Shape Approach , The 48th International Conference on Computers and Industrial Engineering (CIE48), University of Auckland (International) (02 Dec 2018 - 05 Dec 2018)
  4. A Bootstrap-ANFIS Framework for Oral Cancer Prognosis Based on Clinical and Genomic Markers, 3rd IEEE International Conference on Computer Science and Information Technology, Chengdu University (International) (09 Jul 2010 - 11 Jul 2017)
  5. Pattern recognition for Non-linear Profiles by using Simulink, International Conference on Ergonomics, International Conference on Ergonomics 2007, Multimedia University (National) (01 Jul 2007 - 01 Jul 2017)

ACADEMIC/PROF. SERVICES

Evaluation
  1. (2022) Evaluation of Research Grant Proposal from Swiss National Science Foundation, International, (External Evaluator)
  2. (2022) Evaluator for Biosymposium 2022, University, (Internal Assessor)
  3. (2022) Panel for Proposal Defence, University, (Internal Examiner)
  4. (2015) Evaluation Panel of PPP Grant Cycle 1/2015 , (Reviewer)
  5. (2015) Review a manuscript for World Journal of Paediatrics 2015 , (Reviewer)
  6. (2015) Review a manuscript for PLOS ONE July 2015, (Reviewer)
  7. (2014) Review a manuscript for IEEE Transactions in Cybernetics 2014 , (Reviewer)
  8. (2013) Review a manuscript for PLOS ONE 2013, (Reviewer)
  9. (2013) Review a manuscript for Oral Diseases 2013, (Reviewer)
Contribution to external organisation
  1. (2019) Projek Karnival Kerjaya Sains, Faculty of Science
  2. (2012) Speaker for OCRCC Research Day, Oral Cancer Research & Coordinating Centre (OCRCC)
Mentoring
  1. (2022) Ketua Penyelaras Latihan Industri Isb, University, (Mentor)

SUPERVISION

Postgraduate Student
  1. (2023) Drug Repurposing in Alzheimer’s Disease: An integrative bioinformatics and machine learning approach, NATASHA AZEELEN
  2. (2023) Forecasting of The Monetary Policy Reaction in Response to Changing Macroeconomic Environment Using Deep Vector Autoregressive (deep VAR), KHADEEJA ADNAN HAMEED AL- ABDULWAHID
  3. (2023) DETECTION AND CLASSIFICATION OF RESPIRATORY DISEASES USING DEEP LEARNING MODELS, PENGFEI ZHANG
  4. (2023) Research and Application of Stock Market Quantitative Strategy Based on Machine Learning, LU NAN
  5. (2023) PRICE FORECASTING OF STANDARD&POOR ASIA 50 INDICATOR USING TWITTER, YANG FANGZHOU
  6. (2023) Paper-Based Microfluidic Devices for Early Diagnosis and Prognosis of Acute Myocardial Infarction, JOYCE LOW SIEW YONG
  7. (2023) Bioinformatics Biomarker Discovery for Alzheimer’s Disease using Blood-Based miRNAs and Proteomics, TAN MEI SZE
  8. (2023) In Silico Studies of Antiviral Ligands Derived from Ganoderma lucidum Against Dengue Type 2 and Zika Viral Proteins, LIM WUI ZHUAN
  9. (2023) Osteoarthritis stage diagnostic with deep learning approach and correlation to the level of biomarkers of the disease, MARGARITA SHISHKINA
  10. (2023) BIG DATA AND ARTIFICIAL INTELLIGENCE: EXPLORING A CONSUMER-BASED MARKETING STRATEGY TO ENHANCE SALES PERFORMANCE, WANG MINGLIANG
  11. (2023) OSTEOARTHRITIS DETECTION USING ARTIFICIAL INTELLIGENCE, WISELY KOAY ZHI TANG
  12. (2023) IDENTIFICATION OF POTENTIAL BIOMARKERS IN CERVICAL CANCER: A MULTI-OMICS DATA ANALYSIS USING BIOINFORMATICS AND MACHINE LEARNING APPROACH, PENDY TOK
  13. (2023) BIOMARKER DISCOVERY FOR ACUTE MYOCARDIAL INFARCTION USING AN INTEGRATED FEATURE SELECTION AND MACHINE LEARNING APPROACH, AIZATUL SHAFIQAH BINTI MOHD FAIZAL
  14. (2023) INVESTIGATING THE EFFECT OF APOBEC3B GERMLINE DELETION ON IMMUNE ACTIVATION IN ASIAN BREAST CANCER USING SPATIAL TRANSCRIPTOMICS, TAN ZI CHING
  15. (2022) Multi-Omics Study of Oral Squamous Cell Carcinoma among Asian, CHUN KAR KENT
  16. (2021) Characterisation of gene fusion events in triple negative breast cancer: A comparison of bioinformatics tools, MIN HUI TAN
  17. (2018) ONTOLOGICAL PLANT DATA VISUALISATION USING NETWORK GRAPHS, AFRINA ADLYNA MOHAMAD MATROL
  18. (2017) DEEP LEARNING-BASED APPROACH IN PLANT SPECIES IDENTIFICATION, TAN JING WEI
  19. (2017) INTEGRATIVE APPROACH OF META-ANALYSIS AND MACHINE LEARNING IN GENE EXPRESSION ANALYSIS OF CERVICAL CANCER, TAN MEI SZE
  20. (2017) AUTOMATED CLASSIFICATION OF TROPICAL SHRUB SPECIES: A HYBRID OF LEAF SHAPE AND MACHINE LEARNING APPROACH, MIRAEMILIANA BINTI MURAT
Under Graduate Students
  1. (2022) SIV3001 - Bioinformatics Projects
  2. (2022) SIP4007 PROJEK ILMIAH
  3. (2022) Industrial Training, Fareq Ezzath Farhan Bin Eddy Fairuz , lsmah Kamarina Binti Kamaruzaman
  4. (2014) FYP
  5. (2013) FYP

TEACHING

Master
  1. (2022) SQF7021 - Biomedical Informatics
  2. (2013) SHGS6413 - Biomedical Informatics
Bachelor
  1. (2022) SIO2012 - Bioinformatics Data Management
  2. (2022) SIV3012 - Computational Intelligence in Bioinformatics
  3. (2022) SIO1004 - Introduction to Computer Programming in Bioinformatics
  4. (2021) SIV2006 - Algorithms in Bioinformatics
  5. (2021) SIV3011 - Current Topics in Bioinformatics
  6. (2021) SIV3015 - Health Informatics
  7. (2015) SHEB3305 - Health Informatics
  8. (2014) SHEB2301 - Computer Networking
  9. (2014) SHEB2402 - Adaptive Systems
  10. (2013) SHEB2300 - Operating Systems