Curriculum Vitae

PROF. DR. TEH YING WAH

Professor
  • Department of Information System
    Faculty of Computer Science and Information Technology
  • tehyw
  • +603-79676370

BIOGRAPHY

As a highly accomplished computer scientist and data mining expert with over 35 years of experience, I have demonstrated exceptional leadership, expertise, and vision in the field.

Over the course of my career, I have achieved numerous successes and made significant contributions to the industry. I began as an entry-level computer programmer in 1988 and advanced to become a Professor of Data Mining at the Faculty of Computer Science and Information Technology at the University of Malaya. I obtained my tertiary academic qualifications from Oklahoma City University and the University of Malaya, and I have published more than 90 academic papers in top-tier journals, including Information Fusion and the International Journal of Information Management.

I have a remarkable H-index and number of citations in Web of Science, Scopus, and Google Scholars databases, and I have supervised numerous students at all levels of study. My areas of research include data warehouse, data mining, deep learning, IoT, activity recognition, wearable sensors, accelerometers, heart arrhythmia, electrocardiograph, supraventricular premature beat, multivariate time series, edge computing, task scheduling, data streams, mobile computing, speaker verification, language recognition, clustering algorithms, MapReduce, stock market, and sentiment analysis.

I have received several grants of more than RM one million, including public, international, and private grants, and I have completed two commercial data science projects for Petronas GTD and Air Liquide. I serve as an Associate Editor for Human-Media Interaction - Frontiers in Psychology and a reviewer for several high-quality journals. I am also an Expert Advisory Panel for Master of Science (Data Science) Degree Program at UTP, Programme Advisory Panel for Bachelor of Business (Honors) in Business Analytics at TARUC, and an external assessor of Swinburne University of Technology (BS of Computer Science program). Additionally, I am an External Assessor for Programme Master Sciences (Computer and Information Engineering), IIUM, and a technical assessor of Swiss National Science Foundation.

I have been teaching data mining since 2002, and have produced many highly qualified data scientists and Ph.D. graduates who have gone on to work for top companies like IBM, Amazon Web Services, and Google.

As a highly respected and accomplished computer scientist, I have demonstrated exceptional dedication to the industry, and I am confident that my expertise, leadership, and vision make me a highly qualified computer scientist.

AREAS OF EXPERTISE

  • DATABASE
  • DATA MINING

ACADEMIC QUALIFICATION

  • PhD, (SAINS KOMPUTER)
    Universiti Malaya (UM)
  • MSC, (SAINS KOMPUTER)
    Oklahoma City University, Okla. City, Okla
  • BSC, (SAINS KOMPUTER)
    Oklahoma City University, Okla. City, Okla
  • DIPLOMA, (SAINS KOMPUTER)
    Ncc The National Centre for Information Technology, United Kingdom

ADMINISTRATIVE DUTIES

  • Committee Members
    19 Dec 2022 - 18 Dec 2025 (National)
  • Committee Members
    01 Sep 2022 - 31 Aug 2024 (International)
  • Internal Auditor - FSKTM
    06 Nov 2019 - 31 Jul 2021 (Dean Office, Faculty of Computer Science and Information Technology)
  • GPF- Assessors
    01 Aug 2019 - 31 Jul 2020 (Department of Information System, Faculty of Computer Science and Information Technology)
  • FRGS - Assessor
    01 Jan 2018 - 31 Dec 2019 (University Malaya)
  • PPP Grant Assessor
    01 Aug 2017 - 31 Jul 2019 (Faculty)
  • MJCS Editorial Board Members
    14 Mar 2018 - 13 Mar 2019 (University Malaya)
  • IIRG - Panel
    07 Mar 2019 - 07 Mar 2019 (University Malaya)
  • Panel Penilai Projek Akademik
    01 Dec 2018 - 31 Dec 2018 (Department of Information System, Faculty of Computer Science and Information Technology)
  • Technical Committees - ICDPA 2018
    09 Oct 2017 - 17 May 2018 (International)
  • Assessor
    07 Jan 2017 - 18 Feb 2018 (University Malaya)
  • BKP Assessor
    01 Jan 2017 - 31 Dec 2017 (University Malaya)
  • Ahli Panel Penilaian Projek Akademik sesi 2016/2017
    21 Aug 2017 - 21 Aug 2017 (Faculty)
  • Ahli Panel Penilaian Projek Akademik sesi Semester II 2016/2017
    22 May 2017 - 25 May 2017 (Department of Information System, Faculty of Computer Science and Information Technology)
  • Ahli Panel Penilai Universiti Malaya (Pengakreditasian Semula program-program)
    26 Apr 2017 - 28 Apr 2017 (University Malaya)
  • AJK Penilaian bagin permohonan geran penyelidikan di bawah IPPP
    01 Jan 2015 - 31 Dec 2016 (University Malaya)
  • AJK Hal Ehwal Pascasiswazah Auditor ISO FSKTM
    01 Aug 2014 - 31 Jul 2016 (Department of Information System, Faculty of Computer Science and Information Technology)
  • AJK Program Sarjana Sains Data
    26 Feb 2015 - 31 Jul 2016 (Department of Information System, Faculty of Computer Science and Information Technology)
  • AJK Bagi MJCS
    16 Mar 2015 - 16 Mar 2016 (University Malaya)
  • PANEL PENILAI SKIM GERAN FRGS FASA 1/2015 KPT
    01 Jan 2015 - 31 Dec 2015 (National)
  • Panel Semakan Semula Penilaian Latihan Industri
    01 Jan 2014 - 30 Jun 2015 (Department of Information System, Faculty of Computer Science and Information Technology)
  • Panel Penilai untuk Program Sarjana Kemanusiaan Digital
    19 Jan 2014 - 31 Dec 2014 (University Malaya)
  • EXAMINATION OF MASTER OF ENGINEERING SCIENCE DISSERTATION
    01 Jan 2014 - 31 Dec 2014 (University Malaya)
  • Audit Dalaman FSKTM- Pengauditan Hal Ehwal Pascasiswazah
    01 Jan 2014 - 31 Dec 2014 (Faculty)
  • Acting Head of Department
    26 May 2014 - 30 May 2014 (Department of Information System, Faculty of Computer Science and Information Technology)
  • Quality Manager
    04 May 2010 - 07 Jul 2011 (Dean Office, Faculty of Computer Science and Information Technology)
  • Deputy Dean
    01 Sep 2009 - 31 Oct 2009 (Dean Office, Faculty of Computer Science and Information Technology)
  • Deputy Dean
    01 Jan 2009 - 31 Aug 2009 (Dean Office, Faculty of Computer Science and Information Technology)
  • Head of Department
    01 Jun 2006 - 31 Aug 2006 (Department of Information System, Faculty of Computer Science and Information Technology)
  • Head of Department
    01 Apr 2006 - 31 May 2006 (Department of Information System, Faculty of Computer Science and Information Technology)
  • Head of Department
    01 Sep 2005 - 31 Mar 2006 (Department of Information System, Faculty of Computer Science and Information Technology)

MEMBERSHIPS

  • ASSOCIATE EDITOR IN HUMAN-MEDIA INTERACTION - FRONTIERS IN PSYCHOLOGY , ASSOCIATE EDITOR
    Since 2022 (International)
  • ASSOCIATE EDITOR IN HUMAN-MEDIA INTERACTION - FRONTIERS IN COMPUTER SCIENCE, ASSOCIATE EDITOR
    Since 2022 (International)
  • MALAYSIAN JOURNAL OF COMPUTER SCIENCE (JCR - Q4), REVIEWER
    Since 2016 (University)
  • MJCS (JCR - Q4), REVIEWER
    Since 2013 (University)
  • TECHNICAL COMMITTEE, COMMITTEE MEMBER
    2022 to 2022 (International)
  • PROGRAM COMMITTEE CHAIR, COMMITTEE MEMBER
    2022 to 2022 (International)
  • TECHNICAL PROGRAM COMMITTEE, COMMITTEE MEMBER
    2022 to 2022 (International)
  • PUBLICITY CO-CHAIR, COMMITTEE MEMBER
    2021 to 2022 (International)
  • EDITORIAL MEMBER, BOARD MEMBER
    2020 to 2022 (International)
  • UNIVERSITY OF MALAYA, ACADEMIC ASSESSMENT PANEL
    2017 to 2017 (University)
  • UNIVERSITY OF MALAYA, AUDITOR
    2016 to 2016 (University)
  • UNIVERSITY OF MALAYA, ACADEMIC ASSESSMENT PANEL
    2014 to 2014 (University)
  • MALAYSIAN NATIONAL COMPUTER CONFEDERATION (MNCC), VICE PRESIDENT
    Since 2008 (National)
  • UNIVERSITY OF MALAYA, ASSESSMENT
    2003 to 2003 (University)

AWARD AND STEWARDSHIP

  • Felo Bersekutu
    Institute for Advanced and Smart Digital Opportunities, UUM, 2022 (National)
  • Data mining | Mobile devices | stream mining (T.64401) - Year range: 2013 - 2017 - Representative documents - (Top 4) - UniMiner: Towards a unified framework for data mining
    Scopus, 2019 (International)
  • Data mining | Mobile devices | stream mining (T.64401) - Year range: 2013 - 2017 - Representative documents - Top 1 - Mining personal data using smartphones and wearable devices: A survey
    Scopus, 2019 (International)
  • Clustering algorithms | Data communication systems | stream clustering (T.27213) - Year range: 2013 - 2017 Representative documents - (Top 2) - On density-based data streams clustering algorithms: A survey
    Scopus, 2019 (International)
  • Finance | Data mining | news sentiment (T.15521) - Year range: 2013 - 2017 - Representative documents (Top 3) - Text mining for market prediction: A systematic review
    Scopus, 2019 (International)
  • Time series | Data mining | series classification (T.3080) - Year range: 2013 - 2017 - Representative documents (Top 2) - Time-series clustering - A decade review
    Scopus, 2019 (International)
  • (UniMiner: Towards a unified framework for data mining) highly cited papers that are among the top 10 percent most cited in Computer Networks and Communication field assessed by Scopus
    Scopus, 2019 (International)
  • (Iterative big data clustering algorithms: A review) highly cited papers that are among the top 10 percent most cited in computer science field assessed by Scopus
    Scopus, 2019 (International)
  • (A study of density-grid based clustering algorithms on data streams) highly cited papers that are among the top 10 percent most cited in computer science field assessed by Scopus
    Scopus, 2019 (International)
  • (Stock market co-movement assessment using a three-phase clustering method) highly cited papers that are among the top 10 percent most cited in computer science field assessed by Scopus
    Scopus, 2019 (International)
  • (Text mining of news-headlines for FOREX market prediction: A Multi-layer Dimension Reduction Algorithm with semantics and sentiment) highly cited papers that are among the top 10 percent most cited in computer science field assessed by scopus
    Scopus, 2019 (International)
  • (On density-based data streams clustering algorithms: A survey) highly cited papers that are among the top 10 percent most cited in computer science field assessed by Scopus
    Scopus, 2019 (International)
  • (Text mining for market prediction: A systematic review) highly cited papers that are among the top 10 percent most cited in computer science field assessed by Scopus
    Scopus, 2019 (International)
  • (Big data clustering: A review) highly cited papers that are among the top 1 percent most cited in computer science field assessed by scopus
    Scopus, 2019 (International)
  • (Time-series clustering - A decade review) highly cited papers that are among the top 1 percent most cited in computer science field assessed by scopus
    Scopus, 2019 (International)
  • consultation service ( Air Liquide Smart Innovative Operations Research Operations - Research project)
    Air Liquide, 2018 (National)
  • consultation service (Petronas GTD Data Science Project)
    Petronas, 2018 (National)
  • Diploma Programmer - External Assessor
    INTI International College Subang, 2018 (National)
  • Bachelor Programmer - External Assessor
    INTI International College Subang, 2018 (National)
  • Certificate of Recognition
    The Chung-Ang University, 2017 (International)
  • Technical Program Commitee
    SNSP 2018 Conference Organizing Committee , 2017 (International)
  • Council Member
    MNCC, 2017 (National)
  • MIT Programme City University
    City University, 2017 (National)
  • CERTIFICATE OF EXCELLENT SERVICE
    University of Malaya, 2009 (University)
  • EXCELLENCE SERVICE AWARD
    University of Malaya, 2006 (University)
  • UM EXPO
    UM, 2006 (University)
  • MTE 2006
    MTE, 2006 (International)
  • IPTA 2005
    IPTA, 2005 (International)
  • ITEX 2005
    ITEX, 2005 (National)
  • UM Expo
    University of Malaya, 2005 (International)
  • UM Expo
    UM, 2004 (University)
  • ITEX 2004
    ITEX, 2004 (National)

PUBLICATIONS

Article in Journal
WoS
  1. Anikwe, Chioma Virginia; Nweke, Henry Friday; Ikegwu, Anayo Chukwu; Egwuonwu, Chukwunonso Adolphus; Onu, Fergus Uchenna; Alo, Uzoma Rita; Teh, Ying Wah (2022). Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect, EXPERT SYSTEMS WITH APPLICATIONS. 202. doi:10.1016/j.eswa.2022.117362
  2. Jahangir, Rashid; Teh, Ying Wah; Mujtaba, Ghulam; Alroobaea, Roobaea; Shaikh, Zahid Hussain; Ali, Ihsan (2022). Convolutional neural network-based cross-corpus speech emotion recognition with data augmentation and features fusion, MACHINE VISION AND APPLICATIONS. 33(3). doi:10.1007/s00138-022-01294-x
  3. Mastoi, Qurat-ul-ain; Wah, Teh Ying; Mohammed, Mazin Abed; Iqbal, Uzair; Kadry, Seifedine; Majumdar, Arnab; Thinnukool, Orawit (2022). Novel DERMA Fusion Technique for ECG Heartbeat Classification, LIFE-BASEL. 12(6). doi:10.3390/life12060842
  4. Jahangir, R., Teh, Y. W., Hanif, F., & Mujtaba, G. (2021). Deep learning approaches for speech emotion recognition: state of the art and research challenges. Multimedia Tools and Applications, 80(16), 23745-23812. doi: 10.1007/s11042-020-09874-7
  5. Jahangir, R., Teh, Y. W., Nweke, H. F., Mujtaba, G., Al-Garadi, M. A., & Ali, I. (2021). Speaker identification through artificial intelligence techniques: A comprehensive review and research challenges. Expert Systems with Applications, 171, 29. doi: 10.1016/j.eswa.2021.114591
  6. Rehman, M. H. U., Liew, C. S., Wah, T. Y., Imran, M., Salah, K., Nasser, N., & Svetinovic, D. (2021). Device-centric adaptive data stream management and offloading for analytics applications in future internet architectures. Future Generation Computer Systems-the International Journal of Escience, 114, 155-168. doi: 10.1016/j.future.2020.07.054
  7. Shirkhorshidi, A. S., Wah, T. Y., Shirkhorshidi, S. M. R., & Aghabozorgi, S. (2021). Evolving Fuzzy Clustering Approach: An Epoch Clustering That Enables Heuristic Postpruning. Ieee Transactions on Fuzzy Systems, 29(3), 560-568. doi: 10.1109/tfuzz.2019.2956900
  8. Alo, U. R., Nweke, H. F., Teh, Y. W., & Murtaza, G. (2020). Smartphone Motion Sensor-Based Complex Human Activity Identification Using Deep Stacked Autoencoder Algorithm for Enhanced Smart Healthcare System. Sensors, 20(21), 28. doi: 10.3390/s20216300
  9. Iqbal, U., Wah, T. Y., Rehman, M. H. U., & Shah, J. H. (2020). Prediction analytics of myocardial infarction through model-driven deep deterministic learning. Neural Computing & Applications, 32(20), 15909-15928. doi: 10.1007/s00521-019-04400-9
  10. Jahangir, R., Teh, Y. W., Memon, N. A., Mujtaba, G., Zareei, M., Ishtiaq, U., . . . Ali, I. (2020). Text-Independent Speaker Identification Through Feature Fusion and Deep Neural Network. Ieee Access, 8, 32187-32202. doi: 10.1109/access.2020.2973541
  11. Mastoi, Q. U., Wah, T. Y., Raj, R. G., Lakhan, A. (2020). A Novel Cost-Efficient Framework for Critical Heartbeat Task Scheduling Using the Internet of Medical Things in a Fog Cloud System. Sensors, 20(2), 20. doi: 10.3390/s20020441
  12. Iqbal, U., Teh, Y. W., Rehman, M. H. U., Mastoi, Q. U. A. (2019). A Deterministic Approach for Finding the T Onset Parameter of Flatten T Wave in ECG. Journal of Information Science and Engineering, 35(2), 307-321. doi:10.6688/jise.201903_35(2).0004
  13. Mastoi, Q. U., Wah, T. Y., Raj, R. G. (2019). Reservoir Computing Based Echo State Networks for Ventricular Heart Beat Classification. Applied Sciences-Basel, 9(4), 17. doi:10.3390/app9040702
  14. Nweke, H. F., Teh, Y. W., Mujtaba, G., Alo, U. R., Al-garadi, M. A. (2019). Multi-sensor fusion based on multiple classifier systems for human activity identification. Human-Centric Computing and Information Sciences, 9(1), 44. doi:10.1186/s13673-019-0194-5
  15. Nweke, H. F., Wah, T. Y., Mujtaba, G., Al-garadi, M. A. (2019). Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions. Information Fusion, 46, 147-170. doi:10.1016/j.inffus.2018.06.002
Others
  1. Muhammad Habib Ur Rehman, Chee Sun Liew, Teh Ying Wah, Muhammad Imran, Khaled Salah, Nidal Nasser, Davor Svetinovic: Device-centric adaptive data stream management and offloading for analytics applications in future internet architectures. Future Gener. Comput. Syst. 114: 155-168 (2021)
  2. Henry Friday Nweke, Ying Wah Teh, Mohammed Ali Al-garadi, Uzoma Rita Alo. Deep Learning Algorithms for Human Activity Recognition using Mobile and Wearable Sensor Networks: State of the Art and Research Challenges. Expert Systems With Applications. (Accepted)
  3. Qurat-ul-ain Mastoi, Ying Wah Teh, Ram Gopal Raj and Uzair Iqbal.Automated diagnosis of Coronary Artery disease: A review and workflows. Cardiology Research and Practice.
  4. Uzair Iqbal ; Teh Ying Wah ; Muhammad Habib ur Rehman ; Qurat-ul-ain Mastoi. Usage of Model Driven Environment for the Classification of ECG features: A Systematic Review. IEEE Access. (In press)
  5. Uzair Iqbal, Teh Ying Wah, Muhammad Habib ur Rehman, Ghulam Mujtaba, Muhammad Imran, Muhammad Shoaib. Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things. Journal of Medical Systems. December 2018, 42:252
  6. Muhammad Habib Ur Rehman, Chee Sun Liew, Teh Ying Wah, Muhammad Khurram Khan: Towards next-generation heterogeneous mobile data stream mining applications: Opportunities, challenges, and future research directions. J. Network and Computer Applications 79: 1-24 (2017)
  7. Muhammad Habib ur Rehman, Aisha Batool, Chee Sun Liew, Ying Wah Teh, Atta ur Rehman Khan. (2017). Execution Models for Mobile Data Analytics. IT Professional . Volume: 19 Issue: 3
  8. A. Amini, H. Saboohi, T. Herawan, Teh Ying Wah. MuDi- Stream: A Multi Density Clustering Algorithm for Evolving Data Stream. Special Issue on Big Data, Journal of Network and Computer Applications, Volume 59, January 2016, Pages 370 385. DOI: 10.1016/j.jnca.2014.11.007 (ISI/SCOPUS Cited Publication (Tier 1)
  9. A. Mohebi, S.R. Aghabozorgi,Teh Y.W., T. Herawan, and R. Yahyapour. Iterative Big Data Clustering Algorithms: A Review. Software: Practice and Experience. Volume 46, Issue 1, pages 107 129, January 2016. DOI: 10.1002/spe.2341
  10. Muhammad Habib Ur Rehman, Victor Chang, Aisha Batool, Teh Ying Wah (2016). Big data reduction framework for value creation in sustainable enterprises. Int J. Information Management 36(6): 917-928 (2016)
  11. Ali Seyed Shirkhorshidi, Saeed Reza Aghabozorgi Sahaf Yazdi, Teh Ying Wah. A Comparison Study on Similarity and Dissimilarity Measures in Clustering Continuous Data. Plos One. Published: December 11, 2015DOI: 10.1371/journal.pone.0144059.
  12. Arman Khadjeh Nassirtoussi, Saeed Aghabozorgi, Teh Ying Wah, David Ngo Chek Ling "Text mining of news- headlines for FOREX market prediction: A Multi- layer Dimension Reduction Algorithm with semantics and sentiment", Expert Systems With Applications,2015, Volume 42, Issue 1, pp. 306-324 (Tier 1)
  13. Muhammad Habib ur Rehman, Chee Sun Liew, Teh Ying Wah, Junaid Shuja, Babak Daghighi. 2015. Mining Personal Data using Smartphones and Wearable Devices: A survey. Sensors. 15(2), 4430-4469; doi:10.3390/s150204430 (Tier 1)
  14. Saeed Aghabozorgi and Teh Ying Wah. "Approximate clustering of large time-series datasets using k- Modes partitioning", Journal of Information Science and Engineering. Vol. 31 No. 1 . pp. 207- 228. (Tier 4)
  15. Saeed Reza Aghabozorgi; Ali Seyed Shirkhorshidi; Teh Ying Wah. Time-series clustering - A decade review. INFORMATION SYSTEMS. Volume 53, October-November 2015, Pages 16-38 (Tier 2)
  16. Amineh Amini, Hadi Saboohi, Teh Ying Wah, and Tutut Herawan. 2014. A Fast Density-Based Clustering Algorithm for Real-Time Internet of Things Stream. The Scientific World Journal. Volume 2014 (2014), Article ID 926020, 11 pages
  17. Amineh Amini, Teh Ying wah, Hadi Saboohi. 2014. On Density-based Data Streams Clustering Algorithms: A Survey. Journal of Computer Science and Technology.vol. 29, no. 1, January 2014, pp. 116 141.
  18. Arman Khadjeh Nassirtoussi, Saeed Aghabozorgi, Teh Ying Wah, David Ngo Chek Ling "Text Mining for Market Prediction: A Systematic Review", Expert Systems With Applications, Volume 41, Issue 16
  19. S. Aghabozorgi, Teh Y.W., T. Herawan, H.A. Jalab, M. A. Shaygan and A. Jalali. A Hybrid Algorithm for Clustering of Time-series Data based on Affinity Search Technique. The Scientific World Journal, Volume 2014, Article ID 562194, 12 pages.(Q1-ISI)
  20. Saeed Aghabozorgi and Teh Ying Wah. "Stock Market Co- movement Assessment using a Three-Phase Clustering Method", Expert Systems With Applications, DOI:10.1016/j.eswa.2013.08.028. Volume 41, Issue 4, Part 1, March 2014, Pages 1301-1314. (Highly Cited Paper) (Q1)
  21. Seyedjamal Zolhavarieh, Saeed Aghabozorgi, Teh Y.W., A Review of Subsequence Time Series Clustering, The Scientific World Journal, Volume 2014
  22. Chee Heng Tan, Ying Wah Teh. Harnessing Cloud Computing for Dynamic Resource Requirement by Database Workloads. Journal of Information Science and Engineering (ISI). Vol. 29 , No. 5 , September 2013
  23. Chee Heng Tan, Ying Wah Teh. 2013. Secure Hardware Performance Analysis in Virtualized Cloud Environment.Mathematical Problems in Engineering. Volume 2013 (2013).
  24. Tan Chee Heng, Teh Ying Wah. 2013. Synthetic Hardware Performance Analysis in Virtualized Cloud Environment for Healthcare Organization. Journal of Medical Systems. Volume 37, Issue 4.
  25. Saeed Reza Aghabozorgi,Mahmoud Reza Saybani and Teh Ying Wah. "Incremental Clustering of Time Series Data by Fuzzy Clustering", Journal of Information Science and Engineering 28 (4), 671-688
  26. Arman Toussi, Teh Ying Wah and David Ngo. A novel FOREX prediction methodology based on fundamental data. . Vol. 5(20), pp. 8322-8330,16 September, 2011 (ISI)
  27. Ling Kock Sheng and Teh Ying Wah. A comparative study of data mining techniques in predicting consumers credit card risk in banks. African Journal of Business Management. Vol. 5 (20), pp. 8307-8312, 16 September, 2011 (ISI)
  28. Mahmoud Reza Saybani, Teh Ying Wah, Amineh Amini and Saeed Reza Aghabozorgi Sahaf Yazdi. 2011. Anomaly detection and prediction of sensors faults in a refinery using data mining techniques and fuzzy logic. Scientific Research and Essays. 2011. 6(27) 5685- 5695
  29. Mahmoud Reza Saybani, Teh Ying Wah, Amineh Amini, Saeed Reza Aghabozorgi, and Adel Lahsasna, "Applications of Support Vector Machines in Oil Refineries: A Survey", International Journal of the Physical Sciences
  30. Mahmoud Reza Saybani, Teh Ying Wah, Amineh Amini, and Saeed Reza Aghabozorgi. "Anomaly Detection and Prediction of Sensors Faults in a Refinery using Data Mining Techniques and Fuzzy Logic", Journal of Scientific Research and Essays, Vol. 6(27), pp. 5685- 5695, 16 November, 2011.
  31. Saybani Mahmoud Reza, Teh Ying Wah, Amini Amineh, Aghabozorgi Saeed Reza, Lahsasna Adel. 2011. Applications of Support Vector Machines in Oil Refineries: A Survey. International Journal of the Physical Sciences Vol. 6(27), pp. 6295-6302
  32. Adel Lahsasna, Ainon, R.N. & Teh, Y.W. 2010. Enhancement of Transparency and Accuracy of Credit Scoring Models through Genetic Fuzzy Classifier. Maejo International Journal of Science and Technology.4 (1):136-158.
  33. Adel, L., Raja, N.Ainon. and Teh, Y.W. Credit Scoring Models using Soft Computing Methods: A Survey. The International Arab Journal of Information Technology. 7(2): 115-123
  34. Chew Fong Peng, Teh Ying Wah, Zahari Ishak. 2009. Computer-Assisted Instruction in Teaching Early Childhood Literature. WSEAS TRANSACTIONS ON INFORMATION SCIENCE & APPLICATIONS. (Scopus)
  35. May Faik Hussain, Teh Ying Wah, Jason Tan Boon Teck, Molly Cheah. 2009. Development of computerised Call- Recall system for national population-based to perform Cervical Cancer Screening and Prevention Control Program. MNCC Transactions on ICT.
  36. TEH YING WAH, ONG SUAN SIM. 2009. Development of a Data Warehouse for Lymphoma Cancer Diagnosis and Treatment Decision Support. WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS. (Scopus)
  37. Teh Ying Wah, Ng Hooi Peng, Ching Sue Hok, Lai Mei Yoon . 2009. Design & Development of Collaborative Workflow for Lean Production in a Repair & Overhaul Industry. WSEAS TRANSACTIONS on COMPUTERS. (Scopus)
  38. Chew Fong Peng, Mahzan Arshad, Zahari Ishak, Loh Sau Cheong, Teh Ying Wah (2008) Early childhod literature: Issues and challenges, Journal of Issues in Education, Faculty of Education, University of Malaya
  39. TEH YING WAH, NG HOOI PENG, CHING SUE HOK. 2008. Developing Content from General Guide for Hypertension Screening, Referral and Follow Up.WSEAS TRANSACTIONS on COMPUTERS.
  40. Ghassan Omar Shahin, Diljit Singh and Teh Ying Wah. 2007. An Activity-Level Internet-Based eLearning Model for University Level Courses. International Journal of the Computer, the Internet and Management (IJCIM).
  41. Teh Ying Wah, Ng Hooi Peng, and Ching Sue Hok.2007. Building Data Warehouse. International Journal of the Computer, the Internet and Management (IJCIM).
  42. TEH YING WAH DATA MINING TECHNIQUES USING DECISION TREE IN MATERIALISED PROJECTION AND SELECTION VIEW MATHWARE AND SOFT COMPUTING 2004
  43. TEH YING WAH, CHIA TZE HUEY TEXT MINING IN MESSAGE BOARDS INTERNATIONAL JOURNAL OF KNOWLEDGE, CULTURE AND CHANGE MANAGEMENT 4 2004
  44. TEH YING WAH, ZAITUN ABU BAKAR DATA MINING TECHNIQUES IN MATERIALISED PROJECT AND SELECTION VIEW LECTURE NOTES IN COMPUTER SCIENCE 2004
  45. TEH YING WAH, ZAITUN ABU BAKAR QUERY PROCESSING IN DATA WAREHOUSING USING COST MODEL THE ELECTRONIC JOURNAL ON INFORMATION SYSTEM IN DEVELOPING COUNTRIES 2000
Books
  1. TEH YING WAH 2006 INTRODUCTION TO DATA MINING UM PRESS
Chapter in Books
  1. Amineh Amini, Teh Ying Wah, A Comparative Study of Density-based Clustering Algorithms on Data Streams: Micro-clustering Approaches, In Ao, Sio Iong; Castillo, Oscar; Huang, Xu (Eds.), Intelligent Control and Innovative Computing, Springer, Vol. 110, 2012, pp. 275-287.
  2. Teh Ying Wah, Ng Hooi Peng, Ching Sue Hok. Development of Specific Disease Data Warehouse for Developing Content from General Guide for Hypertension Screening, Referral and Follow Up. 7th WSEAS International Conference on Applied Computer Science. November, 2007.
Article in Proceeding
  1. AS Shirkhorshidi, S Aghabozorgi, TY Wah, T Herawan, Big Data Clustering: A Review, Computational Science and Its Applications ICCSA 2014, 707-720
  2. Saeed Aghabozorgi, Ali Seyed Shirkhorshidi, Hoda Soltanian, Tutut Herawan and Teh Ying Wah, and Spatial and Temporal Clustering of Air Pollution in Malaysia: A Review, International Conference on Agriculture, Environment and Biological Sciences 2014 (ICFAE 14),213-219
  3. Saeed Aghabozorgi, Hamid Mahroeian, Ashish Dutt, Teh Y Wah, Tutut Herawan, An Approachable Analytical Study on Big Educational Data Mining, Computational Science and Its Applications ICCSA 2014, 721-737
  4. Saeed Aghabozorgi, Teh Ying Wah, Effective Clustering of Time-series Data Using FCM,6th International Conference on Machine Learning and Computing, 2014, (Best Paper)
  5. Amineh Amini, Teh Ying Wah. On Density-based Clustering Algorithms over Evolving Data Streams: A Summarization Paradigm. 2012 International Conference on Information Technology and Management Innovation(ICITMI2012. Guangzhou China.
  6. Amineh Amini. Teh Ying Wah. DENGRIS-Stream: A Density- Grid based Clustering Algorithm for Evolving Data Streams over Sliding Window. International Conference on Data Mining and Computer Engineering. Bangkok Dec. 21-22, 2012.
  7. Amineh Amini, Teh Ying Wah, Mahmoud Reza Saybani, and Saeed Reza Aghabozorgi, A Study of Density-Grid based Clustering Algorithms on Data Streams, in Proceedings of The 8th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Shanghai, China, July 2011, pp. 1652-1656.
  8. Chee Heng Tan and Ying Wah Teh. A Fuzzy way to Index Tuning 2011 2nd International Conference on Management Science and Engineering. October 1~2, 2011. Chengdou,China
  9. Saeed Aghabozorgi, Teh Ying Wah, Amineh Amini, and Mahmoud Reza Saybani, A New Approach to Present Prototypes in Clustering of Time Series, in Proceedings of The 7th International Conference of Data Mining, Las Vegas, USA, July 2011.
  10. KS Ling, Teh Ying Wah. A Comparative Study of Data Mining Techniques in Predicting Consumers Credit Card Risk in Banks. International Conference on Management Science and Engineering (MSE2010) Wuhan,China, October 17 ~ 18, 2010
  11. Ong Suan Sim, Teh Ying Wah. Evaluating a Data Warehouse for Lymphoma Diagnosis and Treatment Decision Support System. Second International conference on Computational Intelligence, Modelling and Simulation. Bali, 28-30 September 2010.
  12. Aghabozorgi Sahaf Yazdi, Saeed Reza; Ying Wah, Teh. Dynamic Modeling by Usage Data for Personalization Systems. 13th International Conference Information Visualisation. 14, 15 - 17 July 2009. Barcelona, Spain
  13. Saeed Aghabozorgi, and Teh Ying Wah, "Recommender systems: incremental clustering on web log data", in Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human (ICIS), Seoul, Korea, November 2009, pp. 812- 818, DOI: 10.1145/1655925.1656073
  14. TEH YING WAH, NG HOOI PENG, CHING SUE HOK. Design & Development of Collaborative Workflow for Lean Production in a Repair & Overhaul Industry.The 8th WSEAS International Conference on APPLIED COMPUTER & APPLIED COMPUTATIONAL SCIENCE. Hangzhou, China, May 20- 22, 2009.
  15. Adel, L., Raja, N.Ainon. and Teh, Y.W.2008. Intelligent Credit Scoring System using Soft Computing Approach. Proceedings of the International Conference on Computer and Communication Engineering 2008 (ICCCE08), May, 2008, Kuala Lumpur, Malaysia, pp 396-402 (SCOPUS-Cited Publication)
  16. Lahsasna, Adel; Ainon, Raja Noor; Teh Ying Wah,2008. Credit risk evaluation decision modeling through optimized fuzzy classifier; Information Technology, 2008. ITSim 2008. International Symposium on Volume 1, 26-28 Aug. 2008 Page(s):1 - 8 (Non-ISI/Non-SCOPUS Cited Publication)
  17. Adel Lahsasna, Raja Noor Ainon Zabariah Raja Zainal Abidin, Teh Ying Wah. Intelligent Credit Risk Evaluation System using Evolutionary-Neuro-Fuzzy Scheme. International Conference on Intelligence and Advance Systems. November 2007
  18. Ghassan Shahin. Diljit Singh. Teh Ying Wah. Factors in Blended Learning in Higher Education. The 8th Distance Learning & the Internet Conference. 12 -15 December 2007. Thaliand.

RESEARCH INTEREST

  • Data Mining
  • Database

RESEARCH PROJECT

National
  1. 2021 - 2023, RU Geran
    Wearable Technology For Prevention Of Recurrent Ankle Sprain ( Co-Researcher)
  2. 2019 - 2021, Fundamental Research Grant Scheme (FRGS)
    Deep Learning Model For Automatic Feature Representation For Assessing Human Activity And Health Monitoring In Elderly Using Smartphone, Wearable Sensors And Iot ( Principal Investigator(PI))
  3. 2018 - 2019, Bantuan Khas Penyelidikan (BKP Special)
    Deep Learning For Automatic Feature Representation In Human Activity Recognition With Elderly Patients Using Smartphones And Wearable Sensors ( Principal Investigator(PI))
  4. 2013 - 2016, Geran Penyelidikan Universiti Malaya (UMRG Programme) - AET (Innovative Technology (ITRC))
    Online Pattern Recognition In Ecg Time Series Through Subsequence Clustering ( Principal Investigator(PI))
  5. 2018 - 2020, Fundamental Research Grant Scheme (FRGS)
    Deep Learning model for Automatic Feature Representation for Assessing Human Activity and Health Monitoring in Elderly using smartphone, wearable sensors and IoT ( Principal Investigator(PI))
  6. 2017 - 2019, Private Funding
    DEVELOPMENT OF A WEB & MOBILE APPLICATION NAMED INSPIRE TALENT SEARCH (ITS) THAT A SMART & FRIENDLY PLATFORM TO LET EMPLOYER TO SOURCE QUALIFIED CANDIDATE EFFECTIVELY AT AN VERY AFFORDABLE COST TO REDUCE UNEMPLOYMENT RATE ESPECIALLY FOR LESS QUALIFICATION CANDIDATE ( Principal Investigator(PI))
  7. 2012 - 2014, Geran Penyelidikan Universiti Malaya (UMRG)
    A Detection Approach for Tsunami Warning System Using Mining Data Streams ( Principal Investigator(PI))
  8. 2012 - 2013, Geran Penyelidikan Universiti Malaya (UMRG)
    Improving document relevancy in information retrieval using enhanced case-based reasoning technique ( Consultant)
  9. 2009 - 2011, Geran Penyelidikan Universiti Malaya (UMRG)
    Data Mining Through Support Vector Machines and Fuzzy Clustering in order to improve Producitivity of an Oil Refinery ( Principal Investigator(PI))
  10. 2009 - 2011, ScienceFund
    Aesthetic Visualization for Learning Science in 3D Interactive and Immersive Environment ( Consultant)
  11. 2009 - 2011, e-science
    Aesthetic Visualization for Learning Science in 3D Interactive and Immersive Environment, Ministry of Energy, Science, Technology, Environment and Climate Change (MESTECC) ( Co-Researcher)
  12. 2007 - 2010, Fundamental Research Grant Scheme (FRGS)
    An Evolutionary-Neuro-Fuzzy Methodology for Predictive Modeling and Data Analysis ( Consultant)
  13. 2007 - 2010, ScienceFund
    Aplikasi dan Penggunaan ICT dalam Pembinaan Bahan Kesusasteraan Melayu Awal Kanak-kanak ( Consultant)
  14. 2007 - 2010, e-science
    APLIKASI DAN PENGGUNAAN ICT DALAM PEMBINAAN BAHAN KESUSASTERAAN MELAYU AWAL KANAK-KANAK, Ministry of Energy, Science, Technology, Environment and Climate Change (MESTECC) ( Co-Researcher)
  15. 2007 - 2010, Fundamental Research Grant Scheme (FRGS)
    An Evolutionary-Neuro-Fuzzy Methodology for Predictive Modeling and Data Analysis , Ministry of Higher Education ( Co-Researcher)
  16. 2007 - 2009, MOSTI
    e-Sci - Aplikasi dan Penggunaan ICT dalam Pembinaan Bahan dan Modul Kesusasteraan Melayu Awal Kanak-kanak ( Consultant)
  17. 2007 - 2009, Private Funding
    Design and Development of Collaborative Workflow and Data Warehouse for Lean Production in a Repair and Overhaul Industry ( Principal Investigator(PI))
  18. 2005 - 2007, ScienceFund
    Develop of Document Mining of Library System ( Principal Investigator(PI))
Private
  1. 2021 - 2022, Private Funding
    Quality Assurance (qa) Services For Artificial Intelligence(ai) Wood Grader Project ( Principal Investigator(PI))
  2. 2021 - 2022, UTAR Research fund
    Predicting the success of learning performance of alpha up-regulation neurofeedback training, Universiti Tunku Abdul Rahman (UTAR) ( Co-Researcher)
  3. 2007 - 2009, Parker Hannifin Private Grant
    DESIGN AND DEVELOPMENT OF COLLABORATIVE WORKFLOW FOR LEAN PRODUCTION IN A REPAIR AND OVERHAUL INDUSTRY, PARKER HANNIFIN ( Principal Investigator(PI))
International
  1. 2017 - 2019, International Funding
    Deep Learning fusion for Automatic Feature Representation in Human Activity Recognition with Elderly patient using smartphone and wearable sensors ( Principal Investigator(PI))
University
  1. 2007 - 2008, Geran Penyelidikan Universiti Malaya (UMRG)
    Development of Clinical Decision Support Systems Using Data Mining Techniques. ( Principal Investigator(PI))

CONSULTANCY PROJECT

  • External Assessor - Diploma in It, INTI International College Subang
    01 Dec 2018 - 01 Dec 2020 (National)
  • Bachelor of Computer Science and Bachelor of it (Uow), INTI International College Subang
    01 Dec 2018 - 01 Dec 2020 (National)
  • Petronas Gtd Data Science Project, Petronas
    01 Dec 2018 - 01 Dec 2019 (National)
  • Air Liquide Smart Innovative Operations Research Operations - Research Project, Air Liquide
    01 Dec 2018 - 01 Dec 2019 (International)
  • Phd Thesis Examiner, Multimedia University
    01 Dec 2014 - 01 Dec 2016 (National)
  • External Programme Assessor, Inti International College Subang
    01 Dec 2012 - 01 Dec 2016 (National)
  • UM Internal Auditor, UNIVERSITI MALAYA
    01 Feb 2016 - 01 Feb 2016 (National)
  • External Moderation - Bachelor of Information Technology (Hons) Business Information Management, Help University
    01 Jan 2013 - 01 Jan 2014 (National)
  • External Examiner for Phd Thesis, MUST
    01 Jan 2014 - 01 Jan 2014 (National)
  • External Examining :Sunway University, Sunway University
    01 Jan 2009 - 01 Jan 2012 (National)
  • E-Science, Multimedia Development Corporation Sdn Bhd
    01 Jul 2006 - 01 Jul 2006 (National)
  • Penilaian Spesifikais dan Teknikal (800 Unit Mikro Komputer Untuk Universiti Malaya), Universiti Malaya
    01 Jul 2006 - 01 Jul 2006 (National)
  • Asessor, Multimedia Development Corporation Sdn Bhd
    01 Jul 2005 - 01 Jul 2005 (National)

PAPER PRESENTED

INVITED SPEAKER
  1. Bridging Research Gaps in Computer Science, Online lecture to their master students, Mulungushi University (International) (17 Aug 2023 - 17 Aug 2023)
  2. Deep Learning Algorithms for Human Activity Recognition using Mobile and Wearable Sensor Networks: State of the Art and Research Challenges, An Invitation to be the Guest Speaker, Department of Computer Science And Embedded Systems, Faculty of Computing and Information Technology, Tunku Abdul Rahman University College (National) (22 Nov 2018 - 22 Nov 2018)
  3. Introduction to Data Mining, 2017 CAU-UM Global Winter School Big Data Analytics, CAU-UM (International) (12 Feb 2017 - 19 Feb 2017)
  4. What is research / scopus ID, Research / Scopus ID Workshop, Department of Information Systems (University) (09 Aug 2016 - 09 Aug 2016)
ORAL PRESENTER
  1. A Journey To Big Data Mining, Inaugural Lecture, UM (University) (21 Sep 2022 - 21 Sep 2022)
  2. ONLINE PATTERN RECOGNITION IN SUBSEQUENCE TIME SERIES CLUSTERING, THE 3RD INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND MATHEMATICAL SCIENCES (National) (04 Dec 2014 - 05 Dec 2014)
  3. FREQUENT PATTERN MINING IN MOBILE DEVICES - A FEASIBILITY STUDY, CULTIVATING CREATIVITY AND ENABLING TECHNOLOGY THROUGH THE INTERNET OF THINGS (18 Nov 2014 - 20 Nov 2014)
PRESENTER
  1. Time-series clustering A decade review, Lunch Talk or Knowledge Sharing Session, FSKTM (University) (22 Dec 2015 - 22 Dec 2015)
  2. Layered Architecture for Big Data Reduction: Design Considerations, 1st Malaysian National Cloud Conference (MNCC), FSKTM,UM (National) (21 Dec 2015 - 22 Dec 2015)
  3. LEADEN-STREAM: A LEADER DENSITY-BASED CLUSTERING ALGORITHM OVER EVOLVING DATA STREAM. 2013 CONFERENCE ON ARTIFICIAL INTELLIGENCE AND DATA MINING (AIDM 2013), 2013 CONFERENCE ON ARTIFICIAL INTELLIGENCE AND DATA MINING (AIDM 2013) (International) (22 Oct 2013 - 24 Oct 2013)
  4. REQUIREMENTS FOR CLUSTERING EVOLVING DATA STREAM. 2ND INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND ITS APPLICATIONS (ICSCA'2013) , 2ND INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND ITS APPLICATIONS (ICSCA'2013)  (International) (25 Sep 2013 - 26 Sep 2013)
  5. A DETECTION APPROACH FOR TSUNAMI WARNING SYSTEM USING MINING DATA STREAMS. 2013 INTERNATIONAL CONGRESS ON NATURAL SCIENCES AND ENGINEERING., 2013 INTERNATIONAL CONGRESS ON NATURAL SCIENCES AND ENGINEERING. (International) (06 Aug 2013 - 09 Aug 2013)
  6. HARDWARE RESOURCE PERFORMANCE OPTIMIZATION AND AFFIRMATION IN VIRTUALIZED CLOUD ENVIRONMENT FOR HEALTHCARE ORGANIZATIONMEDICAL INNOVATION AND COMPUTING SERVICE (MICS) CONFERENCE. , MEDICAL INNOVATION AND COMPUTING SERVICE (MICS) CONFERENCE 2013  (International) (02 Aug 2013 - 04 Aug 2013)
  7. Evaluating a Data Warehouse for Lymphoma Diagnosis and Treatment Decision Support System, Second International conference on Computational Intelligence, Modelling and Simulation. Bali, 28-30 September 2010. (28 Sep 2010 - 30 Sep 2010)
OTHERS
  1. MSc Data Science Programme, Expert Panel Workshop (EPW) on MSc Data Science - UTP, UTP (National) (05 Dec 2019 - 05 Dec 2019)

ACADEMIC/PROF. SERVICES

Evaluation
  1. (2023) Examination of Thesis (Ee) for The Doctor of Philosophy (Computer Science) - Kathleen Tan Swee Neo, National, (External Examiner)
  2. (2023) Appointment of External Examiner for Thesis – The Doctor of Philosophy (Computer Science) - Lim Kong Hua, National, (External Examiner)
  3. (2023) Review of Manuscript Id Ipr-2023-06-0511, International, (Reviewer)
  4. (2023) Review of Manuscript Id Ptl-40231-2023, International, (Reviewer)
  5. (2023) Review of Manuscript Id Ell-2023-07-0490, International, (Reviewer)
  6. (2023) Thms-23-06-0231:, International, (Reviewer)
  7. (2023) Ell-2023-07-0530, International, (Reviewer)
  8. (2023) Manuscript Number: Ijin-D-23-00221, International, (Reviewer)
  9. (2023) Smca-23-07-1961, International, (Reviewer)
  10. (2023) Reviewing Manuscript # Sensl-23-08-Rl-0626, International, (Reviewer)
  11. (2023) Review of Manuscript Id Tetci-2023-0703, International, (Reviewer)
  12. (2023) Sensors-61847-2023, International, (Reviewer)
  13. (2023) Review of Manuscript Id Ggen-2023-0211, International, (Reviewer)
  14. (2023) Review of Sensors-61372-2023, International, (Reviewer)
  15. (2023) Reviewing Manuscript # Tii-23-2415, International, (Reviewer)
  16. (2023) R Reviewing Manuscript # Tii-23-2429, International, (Reviewer)
  17. (2023) Review of Sensors-60893-2023, International, (Reviewer)
  18. (2023) Review of Manuscript Id Titr-2023-0320, International, (Reviewer)
  19. (2023) Review of This Manuscript. Inffus-D-22-01080, International, (Reviewer)
  20. (2023) Reviewing Manuscript # Sensors-61128-2023 E, International, (Reviewer)
  21. (2023) Reviewing Manuscript # Sensors-61515-2023, International, (Reviewer)
  22. (2023) Review of The Submission "Novel Physical Activity Pattern Analysis Using Wrist-Worn Wearables: Time-Series Clustering, International, (Reviewer)
  23. (2023) Reviewing Manuscript # Tii-23-2183, International, (Reviewer)
  24. (2023) Reviewing Manuscript # Tce-2023-06-0596, International, (Reviewer)
  25. (2023) Review of This Manuscript., International, (External Assessor)
  26. (2023) Assess Master of Cs Thesis, University, (Internal Examiner)
  27. (2023) Appointment as External Examiner for Doctor of Philosophy Thesis, National, (External Examiner)
  28. (2023) Appointment as External Examiner for Phd in System Engineering, International, (External Examiner)
  29. (2023) Assessment On Candidate for Professorial Position in Universiti Kuala Lumpur, National, (External Assessor)
  30. (2023) External Academic Advisor - Diploma in Computer Science (Dcs), National, (External Assessor)
  31. (2023) External Academic Advisor - Diploma in Information Technology (Ditn), National, (External Assessor)
  32. (2023) External Academic Advisor - Certificate in Information Technology, National, (External Assessor)
  33. (2022) Appointment of External Examiner for Thesis Master of Computer Science, National, (External Examiner)
  34. (2022) Evaluation of Phd Thesis of Ms. Neetika Jain - Prof. Tyw, International, (External Examiner)
  35. (2022) Appointment Letter as An External Assessor for Programme Master Sciences (Computer and Information Engineering, National, (External Assessor)
  36. (2022) Foundation in Information Technology, National, (External Assessor)
  37. (2022) Committee Member of Mjcs, National, (External Assessor)
  38. (2021) External Assessor of Swinburne University of Technology Australia, International, (External Assessor)
  39. (2021) Reviewer of IEEE Transactions On Industrial Informatics, International, (Reviewer)
  40. (2021) Panel Latihan Ilmiah (Sesi Pemantauan dan Viva Akhir), Sesi 2020/2021, Semester 2 Projek Akademik I, University, (Internal Evaluator)
  41. (2021) Reviewer of Acm Transactions On Internet of Things, International, (Reviewer)
  42. (2021) Jawatankuasa Tapisan Kenaikan Pangkat Ke Jawatan Profesor Madya (Ds54) Bagi Fakulti Sains Komputer & Teknologi Maklumat, University, (Internal Assessor)
  43. (2021) Jawatankuasa Tapisan Kenaikan Pangkat Kejawatan Profesor (Vk7) Bagi Fakulti Sains Komputer & Teknologimaklumat, University, (Internal Evaluator)
  44. (2021) External Examiner for UKM Phd Candidate, National, (External Examiner)
Contribution to external organisation
  1. (2024) Committee of Mjcs, National, (Expert Advisor)
  2. (2021) International Advisory Committee of 2nd International Conference On Science, Engineering and Management(Icsem-2021), International, (Technical Advisor)
  3. (2021) Committee of Rw (Research World) is a Registered International Scientific Association, International, (Resource Person)
  4. (2021) Technical Assessor of Swiss National Science Foundation, International, (Technical Advisor)
  5. (2021) External Assessor of Foundation from Center of Pre University , Inti International College Subang, National, (Technical Advisor)
  6. (2021) Technical Committee of 2021 The 4th International Conference On Information Management and Processing, International, (Technical Advisor)
  7. (2021) Technical Committee of Second International Conference On Computer Science and Engineering (2nd Ic2se), International, (Technical Advisor)
  8. (2021) Technical Program Chair of 2021 10th International Conference On Internet Computing for Science and Engineering, International, (Technical Advisor)
  9. (2018) REVIEWER - Neurocomputing, Elsevier
  10. (2017) MOA (Master of data Science), SAS USA, International
  11. (2017) MoA (Undergraduate), SAS USA, International
  12. (2017) Council Member, MNCC
Mentoring
  1. (2022) Editorial Board Members, International, (Mentor)
  2. (2021) Prof. Dilantik Untuk Jawatankuasa Pemeriksa Bagi Calon Mse, University, (Mentor)

SUPERVISION

Postgraduate Student
PhD/ Doctoral
  1. (2024) DATA MINING IN TRAFFIC CONGESTION USING SMART PHONES, Anwar Mehmood Sohail
  2. (2024) A NOVEL CLUSTERING METHOD MAPREDUCE BASED EVOLUTIONARY ALGORITHM FOR LARGE DATASET CLUSTERING PROBLEMS, FATEMEH DIVAN
  3. (2024) 3D FACE RECOGNITION BASED ON MODIFIED ACTIVE APPEARANCE MODEL AND SUPPORT VECTOR MACHINE, JWAN K ALWAN
  4. (2024) EMPOWERING CONSUMERS IN COMBATING COUNTERFEITING VIA NFC ENABLED MOBILE APPLICATION LEVERAGING ON BLOCKCHAIN TECHNOLOGY, RAJENDREN SUBRAMANIAM
  5. (2024) Data Mining with Natural Language Processing in the Legal Domain, WANG LI
  6. (2024) ANOMALY DETECTION ON FBM KLCI INDEX AND STOCK MOVEMENT IN MALAYSIA, LAM CHOON HO
  7. (2023) A SEQUENCE MINING BASED ALGORITHM FOR PREDICTING USER BEHAVIOR IN TRANSPORTATION, FARHAD SOLEIMANI
  8. (2021) SPEAKER IDENTIFICATION THROUGH FEATURE FUSION BASED DEEP LEARNING, RASHID JAHANGIR
  9. (2021) AN ENHANCED FULLY AUTOMATIC VENTRICULAR HEARTBEAT CLASSIFICATION INSPIRED BY CYCLIC ECHO STATE NETWORKS, QURAT-UL-AIN
  10. (2020) IDENTIFICATION OF ECG ANOMALIES THROUGH DEEP DETERMINISTIC LEARNING, UZAIR IQBAL
  11. (2019) EVOLVING FUZZY CLUSTERING APPROACH (EFCA) FOR DISCRIMINATING NEUTRON AND GAMMA-RAY PULSES, ALI SEYED SHIRKHORSHIDI
  12. (2016) Dynamic and Adaptive Execution Models for Data Stream Mining Applications in Mobile Ed., MUHAMMAD HABIB UR REHMAN
  13. (2015) A Hybrid Approach For Artificial Immune Recognition System, MAHMOUD REZA SAYBANI
  14. (2014) Time Series Clustering, ALI SEYED SHIRKHORSHIDI
  15. (2014) A Multi-Layer Dimension Reduction Algorithm for Text Mining of News in FOREX, ARMAN KHADJEH NASSIRTOUSSI
  16. (2013) AN ADAPTIVE DENSITY-BASED METHOD FOR CLUSTERING EVOLVING DATA STREAMS, AMINEH AMINI
  17. (2012) Clustering of Large Time-Series Datasets Using A Multi-step Approach, SAEED REZA AGHABOZORGI SAHAF YAZDI
  18. (2010) Development of a Model for Blended Learning In Traditional Universities in Palestine, GHASSAN O A SHAHIN
  19. (2009) Text Mining, ARMAN KHADJEH NASSIRTOUSSI
  20. (2009) Data Streaming, Amineh Amini
  21. (2008) Clustering Of Large Time-Series Datasets Using A Multi-Step Approach, SAEED REZA AGHABOZORGI SAHAF YAZDI
  22. (2008) Cloud Data Management, TAN CHEE HENG
  23. (2008) AIRS, MAHMOUD REZA SAYBANI
Master
  1. (2024) crude oil price prediction using text mining of online news and LSTM Technique, Chee Syn Ang
  2. (2016) Effective Neutron and Gamma Ray Discrimination Using Dimensionality Reduction Methods, TOHID AZIMI
  3. (2016) Effective Neutron and Gamma Ray Discrimination Using Dimensionality Reduction Methods, TOHID AZIMI
  4. (2010) A comparative study of data mining techniques in predicting consumer credit card risks in bank, LING KOCK SHENG
  5. (2010) Development of Call-Recall System Using Convergence Technologies for Cervical Cancer Screening Program, MAY FAIK HUSSAIN
  6. (2009) Postgraduate Dissertation E-Tracker : A Student Research Progress Tracking Tool, WONG LOO WOON
  7. (2009) Optimizing Product Recommendation Model in E-Commerce, Ali Poolad
  8. (2009) Clinical Data Warehouse for DSS, ONG SUAN SIM
  9. (2008) Secure access of patient's medical and clinical data using HL7 Protocol, SARA MOHAMED JAWAD AL-FALLOGI
  10. (2008) Evaluation of credit risk using evolutionary-fuzzy logic scheme, Adel Lahsasna
  11. (2008) Developing an online communication system for student affairs in e-learning environment, Mehdi Changizi
  12. (2008) Collaborative Workflow For Lean Production In A Repair And Overhaul Industry, LAI MEI YOON
  13. (2008) A framework for building an e-library data warehouse, Ng Hooi Peng
  14. (2006) PARALLEL COMPUTING IN GRID COMPUTING, KHAWAJA MOHAMMAD ALI QAMAR
  15. (2005) Data Mining Implementation for Libraries, Rabindranath Raj

TEACHING

Master
  1. (2022) WQD7005 - Data Mining
  2. (2021) WQD7007 - Big Data Management
  3. (2021) WQD7005 - Data Mining
  4. (2020) Big Data Management
  5. (2020) Data Mining
Bachelor
  1. (2022) WIE3007 - Data Mining and Warehousing
  2. (2018) Fundamentals of Data Mining and Warehousing
  3. (2013) Database Administration
  4. (2013) Database Administration
  5. (2016) WMES3320 -
  6. (2013) Database Administration
  7. (2015) WMES2271 -
  8. (2015) WMES2271 -
  9. (2014) WMES3320 -
  10. (2014) WMET2112 -
  11. (2013) Database Administration
  12. (2013) WMES2271 -
  13. (2013) WMES3320 -
  14. (2012) WMES3320 - Fundamentals of Data Mining and Warehousing

SOCIAL RESPONSIBILITY ACTIVITIES

  • Pemilihan Kluster Majlis Profesor Negara, (15 Jun 2022 - 31 Dec 2022) (National)
  • Jawatankuasa Standard Perindustrian Bagi Teknologi Maklumat, Komunikasi dan Multimedia (Isc G), (01 Jul 2017 - 30 Jun 2018)
  • Information Technology and Computer Science Society, (01 Jan 2009 - 01 Jan 2020)