Pantea Keikhosrokiani, Ts. Dr.
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Qualifications
PhD in Service System Engineering (SSE), USM
Masters of Science (Information Technology Technopreneurship), USM
Bachelor of Science in Electrical & Electronics Engineering
Interests
Information Systems & Analytics
Business Intelligence
Behaviour-change Support Systems
Big Data Analytics for Information Systems
Behavioural & Medical Analytics
Optimization of Adaptive Neuro-fuzzy Inference System (ANFIS)
Health, Medical & Business Informatics
Database Management Systems
Text Analytics & Opinion Mining
Empirical Studies
Digital Technopreneurship
Projects
Principal Investigator: Formulation and classification of Mental Workload in Industrial Workplace using a Hybrid Big Data Analytical Model for Better Health and Social Wellbeing, 2023
Principal Investigator: Habit-Based Behavior Change Support System (HBCSS) for People Prone to Heart Disease, 2020-2022.
Co-Researcher: Formulating Systemic Lupus Erythematosus (SLE) correlation with associated features using hybrid Machine Learning Classification Model for National Registry, 2023-2026
Co-Researcher: Poetics and Politics of Space in Post-9/11 Asian American Diasporic Literature, 2019-2021.
Co-Researcher: Establishing A connectivity Network of 17 Sustainable Develop goals that will identify, monitor, quantify and report on its progress within the city, National, 2021.
Publications
Sopus ID: 54420191700
Researcher ID: Y-1281-2018
ORCiD: 0000-0003-4705-2732
Google Scholar
2023
BOOK: Keikhosrokiani, P. (2023). Handbook of Research on Consumer Behavioral Analytics in Metaverse and the Adoption of a Virtual World, IGI Global. DOI: https://doi.org/10.4018/978-1-6684-7029-9
BOOK: Keikhosrokiani, P., & Pourya Asl, M. (2023). Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media, IGI Global. DOI: https://doi.org/10.4018/978-1-6684-6242-3
Keikhosrokiani P, Naidu A/P Anathan AB, Iryanti Fadilah S, Manickam S, Li Z. (2023). Heartbeat sound classification using a hybrid adaptive neuro-fuzzy inferences system (ANFIS) and artificial bee colony. DIGITAL HEALTH. 9. DOI:10.1177/20552076221150741
Keikhosrokiani, P. & Asl, M. P. (2023). Introduction to Artificial Intelligence for the Analytics of Literary Works and Social Media: A Review. In Keikhosrokiani, P. & M. Pourya Asl (Eds.), Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media (pp. 1-17). IGI Global. https://doi.org/10.4018/978-1-6684-6242-3.ch001
Keikhosrokiani, P., Asl, M. P., Chu, K. E., & Anuar, N. A. (2023). Artificial Intelligence Framework for Opinion Mining of Netizen Readers' Reviews of Arundhati Roy's The God of Small Things. In P. Keikhosrokiani & M. Pourya Asl (Eds.), Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media (pp. 68-92). IGI Global. https://doi.org/10.4018/978-1-6684-6242-3.ch004
Amram, NALM ., Keikhosrokiani, P., Asl, M. P., (2023). Artificial intelligence approach for detection and classification of depression among refugees in selected diasporic novels. Social Sciences & Humanities Open, 8(1), Elsevier. https://doi.org/10.1016/j.ssaho.2023.100558
Xu, Y., Cao, X., Hu, R., Keikhosrokiani, P., Li, Z. (2023). PCB Defect Detection Method Based on Improved RetinaNet. In: Xu, Y., Yan, H., Teng, H., Cai, J., Li, J. (eds) Machine Learning for Cyber Security. ML4CS 2022. Lecture Notes in Computer Science, vol 13656. Springer, Cham. https://doi.org/10.1007/978-3-031-20099-1_17
AbadahM., S., K., Keikhosrokiani, P., Zhao, X., (2023), Analytics of Public Reactions to the COVID-19 Vaccine on Twitter Using Sentiment Analysis and Topic Modelling, in (Handbook of Research on Applied Artificial Intelligence and Robotics for Government Processes), IGI Global. DOI: https://doi.org/10.4018/978-1-6684-5624-8.ch008
Jafery, N. N., Keikhosrokiani, P., & Asl, M. P. (2023). An Artificial Intelligence Application of Theme and Space in Life Writings of Middle Eastern Women: A Topic Modelling and Sentiment Analysis Approach. In P. Keikhosrokiani & M. Pourya Asl (Eds.), Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media (pp. 19-35). IGI Global. https://doi.org/10.4018/978-1-6684-6242-3.ch002
Elmi, A. H., Keikhosrokiani, P., & Asl, M. P. (2023). A Machine Learning Approach to the Analytics of Representations of Violence in Khaled Hosseini's Novels. In P. Keikhosrokiani & M. Pourya Asl (Eds.), Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media (pp. 36-67). IGI Global. https://doi.org/10.4018/978-1-6684-6242-3.ch003
Wang, W., Li, Z., Zheng, X., Lai, T., Keikhosrokiani, P. (2023). Content-Aware Deep Feature Matching. In: Xu, Y., Yan, H., Teng, H., Cai, J., Li, J. (eds) Machine Learning for Cyber Security. ML4CS 2022. Lecture Notes in Computer Science, vol 13656. Springer, Cham. https://doi.org/10.1007/978-3-031-20099-1_29
Zainol, A. F., Keikhosrokiani, P., Asl, M. P., & Anuar, N. A. (2023). Artificial Intelligence Applications in Literary Works: Emotion Extraction and Classification of Mohsin Hamid's Moth Smoke. In P. Keikhosrokiani & M. Pourya Asl (Eds.), Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media (pp. 93-113). IGI Global. https://doi.org/10.4018/978-1-6684-6242-3.ch005
Wu, J., Li, Z., Keikhosrokiani, P., Cai, Y. (2023). Boarding Pass Positioning with Jointly Multi-channel Segmentation and Perspective Transformation Correction. In: Xu, Y., Yan, H., Teng, H., Cai, J., Li, J. (eds) Machine Learning for Cyber Security. ML4CS 2022. Lecture Notes in Computer Science, vol 13655. Springer, Cham. https://doi.org/10.1007/978-3-031-20096-0_46
Kng, C. K., Keikhosrokiani, P., & Asl, M. P. (2023). Artificial Intelligence and Human Rights Activism: A Case Study of Boochani's No Friend But the Mountains and His Tweets on Justice and Equality. In P. Keikhosrokiani & M. Pourya Asl (Eds.), Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media (pp. 114-141). IGI Global. https://doi.org/10.4018/978-1-6684-6242-3.ch006
2022
BOOK: Keikhosrokiani, P., (2022). Big Data Analytics for Healthcare: Datasets, Techniques, Life Cycles, Management, and Applications. Elsevier.
BOOK: Keikhosrokiani, P., (2022). Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era, IGI Global. doi: 10.4018/978-1-6684-4168-8
BOOK: Keikhosrokiani, P., & Pourya Asl, M. (2022). Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media. IGI Global. DOI: https://doi.org/10.4018/978-1-7998-9594-7
Ravichandran, B.D., Keikhosrokiani, P. (2022). Classification of Covid-19 misinformation on social media based on neuro-fuzzy and neural network: A systematic review. Neural Comput & Application (2022). https://doi.org/10.1007/s00521-022-07797-y
Lateef, M., Keikhosrokiani, P. (2022). Predicting Critical Success Factors of Business Intelligence Implementation for Improving SMEs’ Performances: a Case Study of Lagos State, Nigeria. Journal of the Knowledge Economy . https://doi.org/10.1007/s13132-022-00961-8
Chu, KE., Keikhosrokiani, P., Asl, M.P. (2022). A Topic Modeling and Sentiment Analysis Model for Detection and Visualization of Themes in Literary Texts. Pertanika Journal of Science & Technology 30 (4), 2535 - 2561. DOI: https://doi.org/10.47836/pjst.30.4.14
Saadat, R., Syed-Mohamad, SM., Azmi, A., Keikhosrokiani, P., Enhancing manufacturing process by predicting component failures using machine learning, Neural Computing and Applications, Springer. https://doi.org/10.1007/s00521-022-07465-1
Zhao, X., Keikhosrokiani, P., (2022), Sales Prediction and Product Recommendation Model Through User Behavior Analytics, CMC-Computers, Materials & Continua, 70(2), 3855–3874, doi: 10.32604/cmc.2022.019750.
Al-rawashdeh, M., Keikhosrokiani, P., Belaton, B., Alawida, M., Zwiri, A. (2022) IoT Adoption and Application for Smart Healthcare: A Systematic Review, Sensors, MDPI. https://doi.org/10.3390/s22145377
Augustine, C. A., & Keikhosrokiani, P. (2022). A Hospital Information Management System With Habit-Change Features and Medial Analytical Support for Decision Making. International Journal of Information Technologies and Systems Approach (IJITSA), 15(2), 1-24. http://doi.org/10.4018/IJITSA.307019
Devi Ravichandran, B., & Keikhosrokiani, P. (2022). A Glance to Develop an Emotional-Persuasive Habit-Change Support Mobile Application for Heart Disease Patients (BeHabit). Journal of Information Technology Management, 14, 141-162. https://doi.org/10.22059/jitm.2022.84890
Yun Ying, S., Keikhosrokiani, P., & Pourya Asl, M. (2022). Opinion Mining on Viet Thanh Nguyen’s The Sympathizer Using Topic Modelling and Sentiment Analysis. Journal of Information Technology Management, 14, 163-183. https://doi.org/10.22059/jitm.2022.84895
Keikhosrokiani, P., Kamaruddin, N.S.A.B. (2022). IoT-Based In-Hospital-In-Home Heart Disease Remote Monitoring System with Machine Learning Features for Decision Making. In: Mishra, S., González-Briones, A., Bhoi, A.K., Mallick, P.K., Corchado, J.M. (eds) Connected e-Health. Studies in Computational Intelligence, vol 1021. Springer, Cham. https://doi.org/10.1007/978-3-030-97929-4_16
Binti Rosli, N. H., & Keikhosrokiani, P. (2022). Chapter 18 - Big medical data mining system (BigMed) for the detection and classification of COVID-19 misinformation. In P. Keikhosrokiani (Ed.), Big Data Analytics for Healthcare (pp. 233-244). Academic Press. https://doi.org/10.1016/B978-0-323-91907-4.00014-5
Al Mamun, M. H., & Keikhosrokiani, P. (2022). Chapter 23 - Predicting onset (type-2) of diabetes from medical records using binary class classification. In P. Keikhosrokiani (Ed.), Big Data Analytics for Healthcare (pp. 301-312). Academic Press. https://doi.org/10.1016/B978-0-323-91907-4.00012-1
John, S. A., & Keikhosrokiani, P. (2022). Chapter 17 - COVID-19 fake news analytics from social media using topic modeling and clustering. In P. Keikhosrokiani (Ed.), Big Data Analytics for Healthcare (pp. 221-232). Academic Press. https://doi.org/10.1016/B978-0-323-91907-4.00003-0
Yee, L. S., & Keikhosrokiani, P. (2022). Chapter 14 - Hospital data analytics system for tracking and predicting obese patients' lifestyle habits. In P. Keikhosrokiani (Ed.), Big Data Analytics for Healthcare (pp. 165-178). Academic Press. https://doi.org/10.1016/B978-0-323-91907-4.00004-2
Weng, NT., Abdullah, NL., Keikhosrokiani, P. (2022). Classification of Heartbeat Sounds to Diagnose Cardiac Disorder. Journal of Information System and Technology Management (JISTM), 7(28), 96-112. DOI: 10.35631/JISTM.728006
Xian, Z., Keikhosrokiani, P., XinYing, C., & Li, Z. (2022). An RFM Model Using K-Means Clustering to Improve Customer Segmentation and Product Recommendation. In P. Keikhosrokiani (Ed.), Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era (pp. 124-145). IGI Global. https://doi.org/10.4018/978-1-6684-4168-8.ch006
Ezimmuo, C. M., & Keikhosrokiani, P. Predicting Consumer Behavior Change Towards Using Online Shopping in Nigeria: The Impact of the COVID-19 Pandemic. Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era, edited by Pantea Keikhosrokiani, IGI Global, 2022, pp. 210-254. https://doi.org/10.4018/978-1-6684-4168-8.ch010
Asri, M.A.Z.B.M., Keikhosrokiani, P., Asl, M.P. (2022). Opinion Mining Using Topic Modeling: A Case Study of Firoozeh Dumas’s Funny in Farsi in Goodreads. In: Saeed, F., Mohammed, F., Ghaleb, F. (eds) Advances on Intelligent Informatics and Computing. IRICT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 127. Springer, Cham. https://doi.org/10.1007/978-3-030-98741-1_19
Paremeswaran, P.a., Keikhosrokiani, P., Asl, M.P. (2022). Opinion Mining of Readers’ Responses to Literary Prize Nominees on Twitter: A Case Study of Public Reaction to the Booker Prize (2018–2020). In: Saeed, F., Mohammed, F., Ghaleb, F. (eds) Advances on Intelligent Informatics and Computing. IRICT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 127. Springer, Cham. https://doi.org/10.1007/978-3-030-98741-1_21
Fasha, E.F.B.K., Keikhosrokiani, P., Asl, M.P. (2022). Opinion Mining Using Sentiment Analysis: A Case Study of Readers’ Response on Long Litt Woon’s The Way Through the Woods in Goodreads. In: Saeed, F., Mohammed, F., Ghaleb, F. (eds) Advances on Intelligent Informatics and Computing. IRICT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 127. Springer, Cham. https://doi.org/10.1007/978-3-030-98741-1_20
Al Mamun, M. H., Keikhosrokiani, P., Asl, M. P., Anuar, N. A., Hadi, N. H., & Humida, T. (2022). Sentiment Analysis of the Harry Potter Series Using a Lexicon-Based Approach. In P. Keikhosrokiani, & M. Pourya Asl (Ed.), Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media (pp. 263-291). IGI Global. https://doi.org/10.4018/978-1-7998-9594-7.ch011
Suhendra, N. H., Keikhosrokiani, P., Asl, M. P., & Zhao, X. (2022). Opinion Mining and Text Analytics of Literary Reader Responses: A Case Study of Reader Responses to KL Noir Volumes in Goodreads Using Sentiment Analysis and Topic. In P. Keikhosrokiani, & M. Pourya Asl (Ed.), Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media (pp. 191-239). IGI Global. https://doi.org/10.4018/978-1-7998-9594-7.ch009
Sofian, N. B., Keikhosrokiani, P., & Asl, M. P. (2022). Opinion Mining and Text Analytics of Reader Reviews of Yoko Ogawa's The Housekeeper and the Professor in Goodreads. In P. Keikhosrokiani, & M. Pourya Asl (Ed.), Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media (pp. 240-262). IGI Global. https://doi.org/10.4018/978-1-7998-9594-7.ch010
Jafery, N. N., Keikhosrokiani, P., & Asl, M. P. (2022). Text Analytics Model to Identify the Connection Between Theme and Sentiment in Literary Works: A Case Study of Iraqi Life Writings. In P. Keikhosrokiani, & M. Pourya Asl (Ed.), Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media (pp. 173-190). IGI Global. https://doi.org/10.4018/978-1-7998-9594-7.ch008
2021
Yi Zhe, I. T., Keikhosrokiani, P. (2021), Knowledge workers mental workload prediction using optimised ELANFIS, Applied Intelligence, Springer, DOI: 10.1007/s10489-020-01928-5.
Humida, T. , Habib, AMM ., Keikhosrokiani, P., (2021), "Predicting behavioral intention to use e-learning system: A case-study in Begum Rokeya University, Rangpur, Bangladesh", Education and Information Technologies, Springer, doi: 10.1007/s10639-021-10707-9.
Keikhosrokiani, P., (2021) "Predicating Smartphone Users' Behaviour Towards a Location-Aware IoMT-Based Information System: An Empirical Study," International Journal of E-Adoption, 13 (2), pp. 52-77, doi: 10.4018/IJEA.2021070104.
Jinjri, W. M. , Keikhosrokiani, P., and Abdullah, N. L., (2021), "Machine Learning Algorithms for The Classification of Cardiovascular Disease- A Comparative Study," 2021 International Conference on Information Technology (ICIT), 2021, pp. 132-138, doi: 10.1109/ICIT52682.2021.9491677.
An, T. S., Fadilah, S. I., Keikhosrokiani, P., & Samsudin, N. H., (2021), Exploring the Business Intelligence Efficiency in Organizations Among Employees in Penang, Malaysia, 2021 6th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE), doi: 10.1109/ICRAIE52900.2021.9704036.
Sze Mei, A. W., Ling Hong, P., Keikhosrokiani, P., Xin, C. H., Xue Ying, T., and Samat, N., (2021), "A GIS-based Mobile Application to Improve Tourism Experience: A Case Study of Terengganu, Malaysia," 2021 International Congress of Advanced Technology and Engineering (ICOTEN), 2021, pp. 1-10, doi: 10.1109/ICOTEN52080.2021.9493443.
Malik, E. F., Keikhosrokiani, P., and Asl, M. P., (2021), "Text Mining Life Cycle for a Spatial Reading of Viet Thanh Nguyen's The Refugees (2017)," 2021 International Congress of Advanced Technology and Engineering (ICOTEN), 2021, pp. 1-9, doi: 10.1109/ICOTEN52080.2021.9493520.
Pinto, K. A., Abdullah, N. L., and Keikhosrokiani, P., (2021), "Diet & Exercise Classification using Machine Learning to Predict Obese Patient’s Weight Loss," 2021 International Congress of Advanced Technology and Engineering (ICOTEN), 2021, pp. 1-5, doi: 10.1109/ICOTEN52080.2021.9493560.
Keikhosrokiani, P. (2021), IoT for Enhanced Decision-Making in Medical Information Systems: A Systematic Review, Enhanced Telemedicine and e-Health: Advanced IoT Enabled Soft Computing Framework, Springer, pp. 119-140, DOI: 10.1007/978-3-030-70111-6_6.
Augustine, C. A., Keikhosrokiani, P. (2021), A Habit-Change Support Web-Based System with Big Data Analytical Features for Hospitals (Doctive), Innovative Systems for Intelligent Health Informatics, Springer, pp. 91-101, DOI: 10.1007/978-3-030-70713-2_10.
Ravichandran, B. D., Keikhosrokiani, P. (2021), An Emotional-Persuasive Habit-Change Support Mobile Application for Heart Disease Patients (BeHabit), Innovative Systems for Intelligent Health Informatics, Springer, pp. 252--262, DOI: 10.1007/978-3-030-70713-2_25.
Ying, S. Y., Keikhosrokiani, P., Asl, M. P., (2021), Comparison of Data Analytic Techniques for a Spatial Opinion Mining in Literary Works: A Review Paper, Innovative Systems for Intelligent Health Informatics, Springer, pp. 523-535, DOI: 10.1007/978-3-030-70713-2_49.
Keikhosrokiani, P. (2021). The Role of m-Commerce Literacy on the Attitude towards Using e-Torch in Penang, Malaysia, E-Business in the 21st Century, World Scientific, DOI: 10.1142/9789811231841_0013.
2020
Abdelrahman, O., Keikhosrokiani, P. (2020). Assembly Line Anomaly Detection and Root Cause Analysis Using Machine Learning. IEEE Access, IEEE, DOI: 10.1109/ACCESS.2020.3029826.
Leong, L. B., Han, O. T., Hong, L. Y., Keikhosrokiani, P., & Abdullah, R. Privacy and Big Data Protection: Comparisons between Data Encryption Methods (2020). TEST Engineering & Management, 82, 11923-11930.
Singh, M. M., Muhadir, A. M., Keikhosrokian, P., Kamaruddin, N. S. A., & Riduan, A. (2020). Quantifization of Fake News in Social Media Using Dread Risk Model. Solid State Technology, 2819-2830.
M Minhat, NL Abdullah, R Idrus, P Keikhosrokiani. (2020). Enhancing the Usability of Tactile Map for the Visually Impaired, Journal of Engineering and Science Research 4 (4), 12-19.
Keikhosrokiani, P. Introduction to Mobile Medical Information System (mMIS) development (2020), Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application, Academic Press Elsevier, ISBN: 978-0-12-817657-3, pp. 1-22. DOI: 10.1016/B978-0-12-817657-3.00001-8
Keikhosrokiani, P. Mobile Medical Information System (mMIS) requirement (2020), Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application, Academic Press Elsevier, ISBN: 978-0-12-817657-3, pp. 25-35. DOI: 10.1016/B978-0-12-817657-3.00002-X
Keikhosrokiani, P. Model identification for mobile medical information systems (mMIS) (2020), Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application, Academic Press Elsevier, ISBN: 978-0-12-817657-3, pp. 37-54. DOI: 10.1016/B978-0-12-817657-3.00003-1
Keikhosrokiani, P. Behavioral intention to use of Mobile Medical Information System (mMIS) (2020), Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application, Academic Press Elsevier, ISBN: 978-0-12-817657-3, pp. 57-73. DOI: 10.1016/B978-0-12-817657-3.00004-3
Keikhosrokiani, P. Success factors of mobile medical information system (mMIS) (2020), Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application, Academic Press Elsevier, ISBN: 978-0-12-817657-3, pp. 75-99. DOI: 10.1016/B978-0-12-817657-3.00005-5
Keikhosrokiani, P. Emotional-persuasive and habit-change assessment of mobile medical information Systems (mMIS)Emotional-persuasive and habit-change assessment of mobile medical information Systems (mMIS) (2020), Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application, Academic Press Elsevier, ISBN: 978-0-12-817657-3, pp. 101-109. DOI: 10.1016/B978-0-12-817657-3.00006-7
Keikhosrokiani, P. Interpretation of the assessment results to design Mobile Medical Information Systems (mMIS)Interpretation of the assessment results to design Mobile Medical Information Systems (mMIS) (2020), Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application, Academic Press Elsevier, ISBN: 978-0-12-817657-3, pp. 101-109. DOI: 10.1016/B978-0-12-817657-3.00007-9
Keikhosrokiani, P. From requirement to design mobile medical information systems (mMIS) (2020), Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application, Academic Press Elsevier, ISBN: 978-0-12-817657-3, pp. 101-109. DOI: 10.1016/B978-0-12-817657-3.00008-0
Keikhosrokiani, P. Feasibility study for Mobile Medical Information Systems (mMISs) (2020), Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application, Academic Press Elsevier, ISBN: 978-0-12-817657-3, pp. 101-109. DOI: 10.1016/B978-0-12-817657-3.00009-2
Keikhosrokiani, P. Mobile medical information system (mMIS) analysis (2020), Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application, Academic Press Elsevier, ISBN: 978-0-12-817657-3, pp. 101-109. DOI: 10.1016/B978-0-12-817657-3.00010-9
Keikhosrokiani, P. Mobile Medical Information System (mMIS) design (2020), Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application, Academic Press Elsevier, ISBN: 978-0-12-817657-3, pp. 101-109. DOI: 10.1016/B978-0-12-817657-3.00011-0
Keikhosrokiani, P. Mobile Medical Information System (mMIS) construction (2020), Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application, Academic Press Elsevier, ISBN: 978-0-12-817657-3, pp. 101-109. DOI: 10.1016/B978-0-12-817657-3.00012-2
Keikhosrokiani, P. Mobile Medical Information System (mMIS) coding/testing (2020), Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application, Academic Press Elsevier, ISBN: 978-0-12-817657-3, pp. 101-109. DOI: 10.1016/B978-0-12-817657-3.00013-4
Keikhosrokiani, P. Mobile Medical Information Systems (mMISs) evaluation (2020), Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application, Academic Press Elsevier, ISBN: 978-0-12-817657-3, pp. 101-109. DOI: https://doi.org/10.1016/B978-0-12-817657-3.00014-6
Keikhosrokiani, P. Conclusions and future direction of Mobile Medical Information System (mMIS) development (2020), Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application, Academic Press Elsevier, ISBN: 978-0-12-817657-3, pp. 101-109. DOI: https://doi.org/10.1016/B978-0-12-817657-3.00015-8
Keikhosrokiani, P. System development for different information systems (2020), Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application, Academic Press Elsevier, ISBN: 978-0-12-817657-3, pp. 101-109. DOI: https://doi.org/10.1016/B978-0-12-817657-3.00016-X
2019
BOOK: Keikhosrokiani, P. Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application (2019) Academic Press Elsevier, ISBN: 978-0-12-817657-3, IS. DOI: 10.1016/C2018-0-02485-8
Keikhosrokiani, P., Mustaffa, N., Zakaria, N., Abdullah, R. Assessment of a medical information system: the mediating role of use and user satisfaction on the success of human interaction with the mobile healthcare system (iHeart) (2019) Cognition, Technology and Work, 22, pp. 281–305 -. DOI: 10.1007/s10111-019-00565-4
Keikhosrokiani, P. Emerging technologies in patient-centric healthcare information systems (2019), Bioanalysis Zone.
Keikhosrokiani, P. & Pourya Asl, M. (2019). A Genealogy Of Human Resource Management: Traditions, Transformations, Optimization Through Information Technology (2019). The European Proceedings of Social & Behavioural Sciences EpSBS, 120-132. 10.15405.
2018
Keikhosrokiani, P., Mustaffa, N., Zakaria, N. Success factors in developing iHeart as a patient-centric healthcare system: A multi-group analysis (2018) Telematics and Informatics, 35 (4), pp. 753-775. DOI: 10.1016/j.tele.2017.11.006
Keikhosrokiani, P., Mustaffa, N., Zakaria, N., Baharudin, A.S. User behavioral intention toward using mobile healthcare system (2018) Consumer-Driven Technologies in Healthcare: Breakthroughs in Research and Practice, , pp. 429-444. DOI: 10.4018/978-1-5225-6198-9.ch022
Phaik-Ean, W., Abdullah, N.L., Idrus, R., & Keikhosrokiani, P. . Real Time Productivity Monitoring System for Small and Medium Size Manufacturing Industry (2018), International Journal of Engineering & Technology, 7 (4.31), pp. 128-134.
Muhammad, S.N., Idrus, R., Abdullah, N.L., & Keikhosrokiani, P. A Framework for Integrating Gamification Mechanics and Dynamics to Authentic Learning Environment ( Ale ) in Non-Game Context (2018). International Journal of Engineering & Technology, 7 (4.31), pp. 391-399.
M. Minhat, N. L. Abdullah, R. Idrus and P. Keikhosrokiani, "TacTalk: Talking tactile map for the visually impaired," 2017 8th International Conference on Information Technology (ICIT), Amman, 2017, pp. 475-481.
2017
Minhat, M., Abdullah, N.L., Idrus, R., Keikhosrokiani, P. TacTalk: Talking tactile map for the visually impaired (2017) ICIT 2017 - 8th International Conference on Information Technology, Proceedings, , pp. 475-481. DOI: 10.1109/ICITECH.2017.8080045
Yun, M.W., Abdullah, N.L., Idrus, R., Keikhosrokiani, P. Lifestyle disease prevention: Health literacy, health attitude and mHealth (2017) International Conference on Research and Innovation in Information Systems, ICRIIS, , pp. -. DOI: 10.1109/ICRIIS.2017.8002462
Ismail, K.A., Singh, M.M., Mustaffa, N., Keikhosrokiani, P., Zulkefli, Z. Security Strategies for Hindering Watering Hole Cyber Crime Attack (2017) Procedia Computer Science, 124, pp. 656-663. DOI: 10.1016/j.procs.2017.12.202
2016
Rashid, M.S.A., Mustaffa, N., Keikhosrokiani, P. Mobile healthcare locator system for heart patients (MHLSHP) (2016) 2016 3rd International Conference on Computer and Information Sciences, ICCOINS 2016 - Proceedings, , pp. 54-59. DOI: 10.1109/ICCOINS.2016.7783188
Kingsley N.U., Mustaffa N., Keikhosrokiani P., Azimi K. Enhancing E-Learning Using Smart Mobile English Learning Tool (SMELT) (2016). In: Fook C., Sidhu G., Narasuman S., Fong L., Abdul Rahman S. (eds) 7th International Conference on University Learning and Teaching (InCULT 2014) Proceedings. Springer, Singapore.
2015
Keikhosrokiani P., Zakaria N., Mustaffa N., Wan TC., et al. Wireless Networks in Mobile Healthcare. In: Adibi S. (eds) Mobile Health (2015). Springer Series in Bio-/Neuroinformatics, vol 5. Springer, Cham
Keikhosrokiani, P., Mustaffa, N., Zakaria, N., Baharudin, A.S. User behavioral intention toward using mobile healthcare system (2015) Healthcare Informatics and Analytics: Emerging Issues and Trends, , pp. 128-143. DOI: 10.4018/978-1-4666-6316-9.ch007
2014
Keikhosrokiani, P., Zakaria, N., Mustaffa, N., & Venkat, I. Study of the Effective Factors in Mobile Health-Care Success: Sociotechnical Perspective (2014). In mHealth Multidisciplinary Verticals (pp. 259-280). CRC Press.
Keikhosrokiani, P., Farahani, B., Zakaria, N., & Mustaffa, N. et al. Importance of National Culture on Using Mobile Health-Care Systems (MHS). In mHealth Multidisciplinary Verticals (pp. 355-374). CRC Press.
2013
Keikhosrokiani, P., Mustaffa, N., Zakaria, N., Sarwar, M.I. Wireless positioning techniques and location-based services: A literature review (2013) Lecture Notes in Electrical Engineering, 240 LNEE, pp. 785-797. DOI: 10.1007/978-94-007-6738-6_97
Keikhosrokiani, P., Mustaffa, N., Sarwar, M. I., & Zakaria, N. E-Torch: A Mobile Commerce Location-Based Promotion System (2013). The International Technology Management Review, 3(3), 140-159.
2012
Keikhosrokiani, P., Zakaria, N., Mustaffa, N., Kianpisheh, A., Sarwar, M.I., Limtrairut, P. A Proposal to Measure Success Factors for Location-Based Mobile Cardiac Telemedicine System (LMCTS) (2012) International Journal of Smart Home, 6 (3), pp. 57-66.
Kianpisheh, A., Mustaffa, N., Limtrairut, P., Keikhosrokiani, P. Smart Parking System (SPS) architecture using ultrasonic detector (2012) International Journal of Software Engineering and its Applications, 6 (3), pp. 51-58. DOI:
Sarwar, M.-I., Wan, T.-C., Keikhosrokiani, P., Ramadass, S. ROHC tunneling protocol for source specific multicast architecture (2012) Advanced Materials Research, 462, pp. 881-885. DOI: 10.4028/www.scientific.net/AMR.462.881
Keikhosrokiani, P., Mustaffa, N., Zakaria, N., Sarwar, M.I. A proposal to design a Location-Based Mobile Cardiac Emergency System (LMCES) (2012) Studies in Health Technology and Informatics, 182, pp. 83-92. DOI: 10.3233/978-1-61499-152-6-83
2011
Kianpisheh, A., Mustaffa, N., Mei Yean See, J., Keikhosrokiani, P. User behavioral intention toward using smart parking system (2011) Communications in Computer and Information Science, 252 CCIS (PART 2), pp. 732-743. DOI: 10.1007/978-3-642-25453-6_61
Keikhosrokiani, P., Mustaffa, N., Sarwar, M.I., Kianpisheh, A., Damanhoori, F., Zakaria, N. A study towards proposing GPS-based mobile advertisement service (2011) Communications in Computer and Information Science, 252 CCIS (PART 2), pp. 527-544. DOI: 10.1007/978-3-642-25453-6_44
Supervision
PhD
Main supervisor, OSAMA ABDALLA MOHAMED ABDELRAHMAN, Medical Adverse Future Events Prediction using Deep Learning techniques on Electronic Health Records (EHR), Computer Science, 2022-Current.
Main supervisor, ONG MEI YEE, Sentiment Analysis and Emotion Detection on Social Media Comments, Computer Science, 2022-Current.
Main supervisor, THEEB AREEJ A A, Deep Learning Framework for Enhancing Elearning, Computer Science, 2022-Current.
Main supervisor, AL NAQEEB SHAYMAA MUDHAFAR DAKHEEL, Adoption and Diffusion of E-Government Initiatives in Iraq: Critical Factors, Computer Science, 2022-Current.
Main supervisor, ANDEMBUBTOB DAVID ROLAND, Investigating the Impact of E-Learning in Tertiary Institutions: The Case of Adamawa, Benue, and Taraba States, Nigeria, 2022-Current.
Main supervisor, ZAIN UL ABDEEN HAFIZ, A Scalable Blockchain Framework for Electronic Health Record, Computer Science, 2022-Current.
Main supervisor, AL MAMUN MD HABIB, Predicting Behavioral Intention to use Health Behavior Change Support System (HBCSS), Computer Science, 2022-Current.
Main supervisor, ZHAO XIAN, Prediction and Product Recommendation Model Through User Behavior Analytics, Computer Science, 2021-Current.
Main supervisor, ALMRADI TGHRID ABDULKARIM ABDULHUSEIN, Classification heart disease using hybrid deep learning: The case of ECG, chest x-ray and echo heartbeat sound, Computer Science, 2021-Current.
Main supervisor, BAQRAF YOUSEF KHAMIS AHMED, Automatic Evaluation of Online Chronic Disease Information Quality, Computer Science, 2021-Current.
Main supervisor, BANI YASEEN MOHD NATHMEE HASAN, An Analysis of Accessibility Support Demands in Electronic Learning Systems for People with Disabilities, Computer Science, 2021-Current.
Main supervisor, MANAL AHMAD SALEH AL-RAWASHDEH, Term Modeling in Information Retrieval System, Computer Science, 2019-2023 (Graduated).
Co-Supervisor, DURAID THAMER SALIM AL HAMADANI, Cyber Security: Improve the Security in IoT Services, Computer Science, 2022-Current.
Co-Supervisor, MAHMOUD MOHAMMAD AHMAD IBRAHIM, An Emotional intelligence Construction in A Unified Theory of Acceptance and Use Of AI-based healthcare Systems in Jordan, Computer Science, 2022-Current.
Co-Supervisor, SALMA MOHAMED ELSAYED HASSAN AMER, Determining the Factors Influencing Cloud ERP Adoption in SMEs in Egypt, Computer Science, 2020-Current.
Master (Graduated)
Reserch-Mode
Main supervisor, LI SHIYING, Employee Mental Workload Classification using Ensemble Machine Learning, Master of Science (Computer Science), 2022.
Main supervisor, Cheong Suk Fun, Prediction and classification of user behavior change towards Robo-advisor applications in Fintech, Master of Science (Computer Science), 2022.
Main supervisor, BHAVANI DEVI A/P RAVICHANDRAN, Covid-19 Misinformation Classification in Social Media Using a Hybrid Adaptive Neuro-Fuzzy Inferences System (ANFIS) and Deep Neural Network (DNN), Master of Science (Computer Science), 2021.
Main supervisor, CHERYLL ANNE AUGUSTINE, Habit-Change Support Web-Based System for Hospitals, Master of Science (Computer Science), 2021.
Main supervisor, WADA MOHAMMED JINJIRI, Optimizing Adaptive Neuro Fuzzy Inference System (ANFIS) for Predicting Behavior Change among People with The Risk of Heart Disease, Master of Science (Computer Science), 2020.
Mixed-Mode (Graduated)
Main supervisor, LEI HONGYANG, Chest X-Ray Image Recognition Based on Multimodal Representation Learning, Master of Science (Computer Science), 2022.
Main supervisor, WEN WEIHAO, Cardiac Arrhythmia Detection Using Hybrid 2d CNN-Transformer, Master of Science (Computer Science), 2022.
Main supervisor, Liu Jingming, The Classification of Knowledge Workers' mental Workload Using Voting Ensemble Learning Via KNN-SVM-RF, Master of Science (Computer Science), 2022.
Main supervisor, A.BHANUPRIYA NAIDU A/P ANATHAN, Heartbeat Sound Classification Using A Hybrid Adaptive Neuro-Fuzzy Inferences System (Anfis) and Artificial Bee Colony, Master of Science (Computer Science), 2021.
Main supervisor, ISAAC TEOH YI ZHE, An Approach To Enhance Knowledge Workers Mental Workload Prediction, Master of Science (Computer Science), 2020.
Main Supervisor, SITI AMINAH ABDULLAH, An Enhanced Adaptive Neuro-Fuzzy Model to Predict a mhealth System Success Rate, Master of Science (Computer Science), 2019.
Data Science (Graduated)
Main supervisor, LEE KAH WIN, Retention Analysis, Prediction, and Prescription Using Machine Learning, Master of Science (Data Science and Analytics), 2022.
Main supervisor, ATINA NAJAHAN MOHD RASHIDI, A Machine Learning Approach to Classify Types of Dystopia In Indian Partition Literary Narratives, Master of Science (Data Science and Analytics), 2022.
Main supervisor, LEE CHOO HUI, Goodreads Recommendation System Using Hybrid Collaborative and Content Based Filtering, Master of Science (Data Science and Analytics), 2022.
Main supervisor, ELMI ABDIKADIR HUSSEIN, Opinion Mining from Literary Works Using Hybrid Machine Learning Model, Master of Science (Data Science and Analytics), 2022.
Main supervisor, JAYANTHI PANNERSELVAM, Predicting the Reading Habits for Reading Short Story Using Machine Learning, Master of Science (Data Science and Analytics), 2022.
Main supervisor, SHEALIN LIM SHEUE LING, Automated Wafer Gross Failure Area Detection Using Machine Learning, 2022.
Main supervisor, KHOR WENG JIE, Classification And Prediction of Employees' Mental Workload, 2022.
Main supervisor, ONG MEI YEE, Sentiment Analysis and Emotion Detection On Social Media Comments: The Case Study Of Crazy Rich Asians Movie, 2022.
Main supervisor, SITI SYAHIRAH MUZLI, Muslim Name Classification by Using Machine Learning Model, 2022.
Main supervisor, RENOUTHANI A/P JAYENDRAN, Inventory Classification and Management System Using PowerBI Dashboard, 2021.
Main supervisor, ABADAH MAZIN SALIH KADHIM,Analytics of Public Reactions to The Covid-19 Vaccine on Twitter Using Sentiment Analysis and Topic Modeling, 2021.
Main supervisor, KNG CHUN KEAT, Sentiment Analysis, Topic Modelling and Emotion Detection on Historical Tweets, 2021.
Main supervisor, LAN ZHENGHUA,Opinion Mining about The Movie "Monster Hunter" From Social Media using Text Analytics, 2021.
Main supervisor, PUNETHAM A/P PAREMESWARAN, Prediction of Literary Prize Winners through the Analysis of Public Reactions to The Nominees: A Case Study of Booker Prize and International Booker Prize, 2021.
Main supervisor,YEAP ZHE CHYUAN, Sentiment Analysis of Public Reactions to The 2020 International Booker Prize, 2021.
Main supervisor, ZHAO XIAN, Sales Prediction and Product Recommendation through User BehaviorSales Prediction and Product Recommendation through User BehaviorAnalytics, 2021.
Main supervisor, GOH MAN FYE, Recommendation System in Pharmacy Ecommerce Website, 2021.
Main supervisor, CHU KAH EM, Detection and Visualization of Emotion in Fictional Coverage aboutDetection and Visualization of Emotion in Fictional Coverage aboutImprisonment in Iranian Diasporic Life Writings, 2021.
Main supervisor, NURUL NAJIHA BINTI JAFERY, The Politics of Space in Life Writings by Middle Eastern DiasporicWomen Writers: A Topic Modeling and Sentiment Analysis, 2021.
Main supervisor, OSAMA ABDELRAHMAN, Assembly Line Anomaly Detection and Root Cause Analysis Using Machine Learning, 2020.
Main supervisor, TAN PEI SENG, Adaptive Control of Robotic Arm withAdaptive Control of Robotic Arm withDeep Reinforcement Learning, 2020.
Main supervisor, SEA YUN YING, Opinion Mining on Viet Thanh Nguyen’s The Sympathizer (2015) Using Topic Modelling and Sentiment Analysis, 2020.
Main supervisor, ESRAA FAISAL MALIK GASIM, Text Analytics with R on Viet Thanh Nguyen's The Refugees (2017): A Spatial Reading, 2019.
Informatics (Graduated)
Main supervisor, HAMEED JASIM DHAHIR HAMEED, A Theoretical Framework to Predict the Effects of DNA-Awareness on Engaging Obese People in Health Behaviour Change System, Master of Informatics, 2022.
Main supervisor, LIN JIONG, Factors Affecting the Continuous Purchase Behavior of Online Education among Various Market Segments: The Case Study of New Oriental Online in China, 2022.
Main supervisor, YUANYA ZHUO, A Research on the Factors Influencing Consumer Behavior in Cross-border E-Commerce -A case study of Malaysia, 2022.
Main supervisor, ALHAWA MUSTAFA HASANAIN ALI, Predicting behavior change success factors model toward social commerce information system, 2022.
Main supervisor, MD HABIB AL MAMUN, Predicting Behavioral Intention to Use Health Behavior Change Support System (HBCSS) Among Obese Students at University Science Malaysia (USM), 2021.
Main supervisor, GAYATHIRI A/P VIJAYAN, Behaviour Change Framework towards using Business Intelligence in Industries, 2021.
Main supervisor, ZHANG HAO, Success factors contributing to viral marketing content generation, 2021.
Main supervisor, MUDASHIRU LATEEF OLUMIDE, Critical Success Factors as The Basis Of Business Intelligence Implementation for Improving SMEs’ Performances in Lagos, Nigeria, 2021.
Main supervisor, EZIMMUO CHIAMAKA MIRIAM, Behavior change towards using online shopping in Nigeria: The impact of covid-19 pandemic, 2021.
Main supervisor, SHOBAN BALAKIRUSHNAN, Development of Behaviour Change Support Framework Using Gamification for Individuals At Risk of Heart Disease, 2020.
Final-Year Project (Graduated)
Main supervisor, LI SHIYING, Employee Mental Workload Classification using Ensemble Machine Learning, 2021-2022.
Main supervisor, NURFATIN BINTI SOFIAN, A Hybrid Deep Learning Model for Classification of COVID-19 Vaccine Sentiments from Twitter, 2021-2022.
Main supervisor, FARAH MURSYIDAH BINTI FUAHAIDI, Technofree: Student Technotress Management System with Machine Learning Approach, 2021-2022.
Main supervisor, EZQIL FASHA BIN KAMAL FASHA, Opinion Mining from social media for Assessing Stress using, Ensemble Learning, 2021-2022.
Main supervisor, KOK BAI YUAN, Employee Mental Workload Management System with Data Analytical Features, 2021-2022.
Main supervisor, ASHLEY WANG SZE MEI, In-Home In-Hospital IoT-based Habit Change Management System for Decision Making, 2021-2022.
Main supervisor, TANG YEE PING, An Intelligent Cosmetics eCommerce Platform with Recommendation System and Gamification Features, 2021-2022.
Main supervisor, MUHAMAD AIMAN ZIKRI BIN MUHAMAD ASRI, COVID-19 News Classification Using Ensemble Learning, 2021-2022.
Main supervisor, RAAGA VILASSINI A/P RAJA, Predicting Educators Mental Workload Using Socio-Technological Tool and Machine Learning, 2021-2022.
Main supervisor, WAN CHAI XUAN, Habit-Change Mobile Application with Gamification Features for Obese Patients, 2021-2022.
Main supervisor, YEW VICKY, Habit-Change Hospital Big Data Analytics System for Doctors Decision Making, 2020-2021.
Main supervisor, NURUL HUSNA BINTI ROSLI, Big Medical Data Mining System for COVID-19 with AI features: Big Med System, 2020-2021.
Main supervisor, SHERRYLIN ANAK JOHN Predicting the effect of medical fake news related on COVID-19 on users’ habit change, 2020-2021.
Main supervisor, NUR SYAZA SYAMIMI BINTI MOHD ISMAILUZABIHULLAH, AI-Based Medicine Consultation System for Heart Disease Patient, 2020-2021.
Main supervisor, SITI MASTURA BINTI MOHAMED HUSSAIN, A location-based cardiac emergency system with Artificial Intelligence (AI) features, 2020-2021.
Main supervisor, ADIBAH BINTI RIDUAN, Artificial Intelligence (AI)-based Medical Decision Support system for heart disease patients, 2020-2021.
Main supervisor, NOR SARALYNA AZWA BINTI KAMARUDDIN, Heart Disease Patient Management Systems for Decision Making in Hospitals, 2020-2021.
Main supervisor, YEW VICKY, Habit-Change Hospital Big Data Analytics System for Doctors Decision Making, 2020-2021.
Main supervisor, SHERRYLIN ANAK JOHN, Predicting the effect of medical fake news related on COVID-19 on users’ habit change, 2020-2021.
Main supervisor, NURUL HUSNA BINTI ROSLI, Big Medical Data Mining System for COVID-19 with AI features: BigMed System, 2020-2021.
Main supervisor, ADIBAH BINTI RIDUAN, Artificial Intelligence (AI)-based Medical Decision Support system for heart disease patients, 2020-2021.
Main supervisor, SITI MASTURA BINTI MOHAMED HUSSAIN, A location-based mobile cardiac emergency system with Artificial Intelligence (AI) features, 2020-2021.
Main supervisor, NUR SYAZA SYAMIMI BINTI MOHD ISMAILUZABIHULLAH, Artificial Intelligence (AI) – Based Medicine Consultation System for Heart Disease Patient, 2020-2021.
Main supervisor, VAISHNAVI A/P YUDEYELJODI, Artificial Intelligence (AI)-based habit-change mobile app for healthier life style 2020-2021.
Main supervisor, NOR SARALYNA AZWA BINTI KAMARUDDIN, Heart Disease Patient Management Systems for Decision Making in Hospitals, 2020-2021.
Main supervisor, CHERYLL ANNE AUGUSTINE, A Habit-Change Support Web-Based System with Big Data Analytical Features for Hospitals (Doctive), 2019-2020.
Main supervisor, BHAVANI DEVI A/P RAVICHANDRAN, Project, An Emotional-Persuasive Habit-Change Support Mobile Application for Heart Disease Patients, 2019-2020.
Main supervisor, LIEW SET YEE, Big Data Analytics System for Hospitals, 2019-2020.
Third-Year Project
Main supervisor, ASHLEY WANG SZE MEI, CHONG HUI XIN, PEE LING HONG, TAN XUE YING, A GIS-based Mobile Application to Improve Tourism Experience: A Case Study of Terengganu, Malaysia, 2020.
Main supervisor, SITI MASTURA BINTI MOHAMED HUSSAIN, NUR SYAZA SYAMIMI BINTI MOHDISMAILUZABIHULLAH, NUR’ ATTIRA BINTI ABDUL LATEH, Sales Forecasting using Big Data Analytics for Small Business: Machine Learning, 2019.
Main supervisor, LAU BOON LEONG, LAW YUAN HONG, OOI TIAT HAN, Privacy and Big Data Protection: Comparisons Between Data Encryption Methods, 2018.
Teaching
CPC151: Fundamentals of Logic and Artificial Intelligence
CPT115: Mathematical Methods for Computer Science
CMT321: Management & Engineering of Databases
CMT223/CMM322: Information Systems Theory & Management
CSE441: Software Process & Quality Assurance
CPT441: Software Quality Assurance & Testing
CIT552: Business Organizations & Environement
CIT571: Technopreneurship & Business Development
CIT563: Consumer Health Informatics
Recognition & Leadership
- Editorial Review Board for International Journal of Enterprise Information Systems (IJEIS), IGI Global.
- Reviewer for Computers in Human Behaviour Journal, Elsevier
- Reviewer for IEEE Access
- Reviewer for Journal of Biomedical Informatics, Elsevier
- Reviewer for Cognition, Technology & Work, Springer
- Reviewer for Applied Computing and Informatics, Emerald
- Reviewer for International Conferences
- Internal Examiner
Consultancy
- Establishing A connectivity Network of 17 Sustainable Develop goals that will identify, monitor, quantify and report on its progress within the city, 13/01/2021-13/03/2022, (National)
- Infrastructure aspects for Telemedicine, King Saud University, 25/01/2021 - 03/02/2021, (International)
- Pantea Keikhosrokiani, Instructor in Project to Paper [P2P] Writing Workshop, School of Computer Sciences, USM, 06/06/2017 - 06/06/2017, (Department)
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