Bilal Bahaa Zaidan

Associate Professor

LinkedIn Profile

Education

Doctor of Philosophy, PhD (2010-2016)
1. PhD in Computer Engineering, Faculty of Engineering, Multimedia University, Cyberjaya, Malaysia
2. Applied Decision Theory and Expert Systems
Master of Computer Science, M.Cs. (2006-2009)
1. M.Sc. Computer Science, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia
2. Data Science and Expert System
Bachelor of Science, B.Sc. (2002-2005)
1. B.Sc. in Mathematics and Computer Applications, Faculty of Science, Saddam University (currently Al-Nahrain University), Baghdad, Iraq
2. Applied Mathematics

Internet Security
Problems Solving Techniques
Data Structure and Algorithms
Software Verification and Validation
Object-Oriented Programming
Data Structure and Algorithms
Software Testing and Quality
Computer network
Industrial Training
System Administration
Software Testing and Quality
Software Verification and Validation
Robotics and Control
Artificial Intelligence in Medicine
Decision Analysis
Image Processing
Natural Language Processing
Deep Learning
Seminar in Artificial Intelligence
Machine Learning
Mathematical Foundation for Artificial Intelligence
Seminar in Artificial Intelligence
Decision Analysis
Artificial Intelligence

Academic Experience

Tenure-Track Associate Professor in Data Science since January 2024
SP Jain School of Global Management, Sydney Campus,15 Carter St, Lidcombe NSW 2141, Australia. As a Tenure-Track Associate Professor at the SP Jain School of Global Management, my primary responsibility is to contribute to the achievement of the main objectives of SP Jain School of Global Management.

Tenure-Track Associated Professor (October 2021- January 2024)
International Graduated School of Artificial Intelligence, College of Management, National Yunlin University of Science and Technology. No. 123, Section 3, Daxue Rd, Douliu City, Yunlin County, 64002. As a Tenure-Track associated Professor at the International Institute of Artificial Intelligence within the College of Management, my primary responsibility is to contribute to the achievement of the main objectives of National Yunlin University of Science and Technology.
Senior Lecturer (April 2014- October 2021)
Faculty of Art, Computing, and Creative Industry, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak Darul Ridzuan 35900, Malaysia. As a Senior Lecturer at Universiti Pendidikan Sultan Idris, my role is instrumental in achieving the institution's primary objectives

CONSULTING EXPERIENCE

Research Fellow (June 2017- May 2019)
UPSI Education Research Laboratory, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak Darul Ridzuan 35900, Malaysia. As a Research Fellow at the UPSI Education Research Laboratory, I have been awarded a prestigious fellowship to contribute significantly to research related to UPSI educational smart-classes. This role encompasses a range of responsibilities crucial to advancing the institution's educational initiatives.
Research Fellow (January 2020- January 2022)
Pusat Penyelidikan Perkembangan Kanak-kanak Negara (NCDRC), Kompleks NCDRC, Kampus Sultan Azlan Shah (KSAS), Universiti Pendidikan Sultan Idris, 35900 Tanjung Malim, Perak, Malaysia. As a Research Fellow at the National Child Development Research Centre (NCDRC), l played a crucial role in a prestigious 2-year fellowship focused on the data analysis phase of Malaysian childhood panel data. This data has been meticulously collected from kindergartens nationwide.
Research Fellow (October 2021- September 2022)
Centre for Global Sustainability Studies (CGSS), Pusat Kajian Kelestarian Global, Level 5, Hamzah Sendut Library, Universiti Sains Malaysia, 11800 USM, Penang. As a Sustainability Research Fellow at the Centre for Global Sustainability Studies (CGSS), I was involved to advancing sustainability research and initiatives at the institution. My role is multifaceted, encompassing various responsibilities that contribute to the pursuit of sustainable development.

CORPORATE EXPERIENCE

Super Guanti
Super Guanti was developed in collaboration with two electrical engineers. This collaboration adds another dimension to the project's story, highlighting the teamwork and expertise that went into its development. Super Guanti, developed by Engineer Ahmed Hasan and Bilal Bahaa Zaidan, represents a significant milestone in the field of sensory glove technology. The product officially registered under a Canadian innovation company named TigaBoard.
Health Information Exchange Software
The Health Information Exchange Software is a sophisticated system designed to facilitate the secure and decentralized exchange of medical information. The Health Information Exchange Software is a comprehensive solution for secure and decentralized medical data exchange. Its open-source nature, research foundation, patent recognition, and focus on security make it a promising tool for improving healthcare information management and delivery. It is now in the marketing phase, poised to make a positive impact on the healthcare industry by streamlining data exchange and improving patient care. You can find the link of the project: https://drive.google.com/drive/folders/0B8AkxCLpAOFmeGYzRTRLRG1TeWs
Smart Edu-GREEN Centre & Intelligence Farming
The Green Education Centre, a 2000 square foot facility situated in the college residential area, serves as an educational and economic initiative. It focuses on transferring classroom learning to agriculture, incorporating aquaponics, fustian The Green Education Centre, a 2000 square foot facility situated in the college residential area, serves as an educational and economic initiative. It focuses on transferring classroom learning to agriculture, incorporating aquaponics, fertigation, composting, and IoT technology. The centre aims to teach students various planting techniques and the importance of agriculture while allowing them to harvest and benefit from the produce. It will be managed intelligently through the SMART GREEN SYSTEM@UPSI, featuring real-time monitoring, wireless automated irrigation, and a Smart Economical Food Waste Composter controlled via a smartphone app. The development includes greenhouses, hydroponics, and aquaponics, with IoT sensors for efficient watering and fertilization, leading to significant water savings. Crops grown include vegetables like bakchoi, lettuce, mustard, tomatoes, eggplants, cabbage, chili, black turmeric, and cucumbers. This initiative, which promotes agriculture on campus, aims to foster students' love for agriculture and environmental consciousness. UPSI also seeks to improve its green campus sustainability and reduce carbon emissions to enhance its global ranking. -tion, composting, and IoT technology. The center aims to teach students various planting techniques and the importance of agriculture while allowing them to harvest and benefit from the produce. It will be managed intelligently through the SMART GREEN SYSTEM@UPSI, featuring real-time monitoring, wireless automated irrigation, and a Smart Economical Food Waste Composter controlled via a smartphone app. The development includes greenhouses, hydroponics, and aquaponics, with IoT sensors for efficient watering and fertilization, leading to significant water savings. Crops grown include vegetables like bakchoi, lettuce, mustard, tomatoes, eggplants, cabbage, chili, black turmeric, and cucumbers. This initiative, which promotes agriculture on campus, aims to foster students' love for agriculture and environmental consciousness. UPSI also seeks to improve its green campus sustainability and reduce carbon emissions to enhance its global ranking.
National Child Development Research Centre
The National Child Development Research Centre (NCDRC) and Sultan Idris Education University (UPSI) in Malaysia have developed the National Child Data Centre (NCDC), a web-based database designed to collect and centralize comprehensive data on children (0-3+ years), nurseries, and educators/caregivers. This database aims to support various stakeholders, including PERMATA, KEMAS, YPKT, and SWD, in planning and implementing structured programs aligned with Malaysia's National Children's Care and Early Childhood Care Policy, focusing on holistic child development. The development of NCDC was prompted by a feasibility study that identified strong support for a centralized system to improve the quality of early childhood care and education, enhance research, policy development, and public awareness, aligning with Malaysia's 10th Malaysia Plan. NCDC's rich data includes child profiles, TASKA staff information, and TASKA (childcare center) details. This data supports early detection and intervention, particularly for special needs children, as well as research and program expansion for children aged 3 months to 4 years. The system allows registered users to access data and encourages regular updates from TASKA centres. As of the present, NCDC has profiled over seventy thousand children, five thousand TASKA centres, and twenty thousand TASKA staff nationwide, although there is still much room for expanding child-profiled data. Additionally, NCDC is evolving to include data analytics and visualization, aiming to create predictive models that can identify intervention opportunities and improve child and community outcomes. The system emphasizes obtaining data on children non-intrusively through observation and one-on-one assessments, both at home and in early childhood centers. It also calls for new regulations and local jurisdiction enforcement to ensure the integrity of teacher updates regarding each child's progress and background details. NCDC holds the potential to become a national data analytics hub, providing valuable insights for policymakers, industries, and parties interested in children's health and well-being by integrating data from various sources, including other databases related to health, welfare, and statistics.
Elderly fall analysis using XAI
A future project is planned to classify fall risk in community-dwelling older adults using computerized posturography in standing conditions, with a focus on leveraging machine learning techniques to handle complex data characterized by high dimensionality, non-linearity, and strong correlations. This endeavor aims to enhance interpretability by incorporating an explainable artificial intelligence (XAI) approach. The analysis will encompass a total of 215 participants from clinical testing, with input data comprising demographic features and posturographic parameters obtained through tracker-based posturography in four standing postures. Two classification criteria will be utilized, one involving a fear behavior questionnaire (the Stay Independent Brochure) and the other utilizing the timed-up-and-go test. To manage the extensive parameter set and improve efficiency, two meta-heuristic methods for feature selection will be applied, with the SHapley Additive exPlanations (SHAP) method employed to illustrate the significance of selected features within the model. Expected outcomes include enhanced accuracy, achieved through both the Harris Hawk Optimization and Slime Mould Algorithm compared to the model lacking feature selection. Additionally, the SHAP values will provide insights into the relative importance of various features within the model. This project underscores the potential utility of ML algorithms and XAI in developing more robust and accurate fall classification models. Notably, this project benefits from an academy-industry collaboration between the National Taiwan University Hospital (NTUH) and the Yunlin University of Science and Technology (YunTech). It has received support from the National Taiwan University Hospital Yunlin branch under grant numbers NTUHYL 111.AI004. The funding body will not be involved in the study's design, data collection, analysis, interpretation, or manuscript writing. A team of researchers will lead the project, including Huey-Wen Liang from the Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan, ROC, along with Rasoul Ameri, Sung-Yu Ho, and Arthur Chang from the Department of Information Management, National Yunlin University of Science and Technology, Douliu, Taiwan, ROC. Shahab S. Band and Bilal Zaidan, affiliated with the International Graduate School of Artificial Intelligence, Douliu, Taiwan, ROC, and the Future Technology Research Center, National Yunlin University of Science and Technology, Douliu, Taiwan, ROC, will also contribute. Furthermore, Hsin-Shui Chen from the Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital Yulin Branch, Douliu, Taiwan, ROC, and Kai-Chieh Chang from the Department of Neurology, National Taiwan University Hospital Yulin Branch, Douliu, Taiwan, ROC, will participate in the project.

RESEARCH & PUBLICATIONS
ADDITIONAL INFORMATION

Research Interests

Multi-Criteria Decision Analysis
Fuzzy Set
Image and Signal Processing
AI in Medicine and Health Related Application
Pattern Recognition (Classification, Imputation, Prediction, Trajectory and Time Series Analysis)
Machine Learning and Deep Learning
Explainable AI
Text and Opinion Mining and Sentiment Analysis.
Generative AI
Decision Theory
Ensemble and Deep Decision Making

Selected Publications from the last 3 years

Abdulkareem, K. H., Arbaiy, N., Zaidan, A. A., Zaidan, B. B., Albahri, O. S., Alsalem, M. A., & Salih, M. M. (2021). A new standardisation and selection framework for real-time image dehazing algorithms from multi-foggy scenes based on fuzzy Delphi and hybrid multi-criteria decision analysis methods. Neural Computing and Applications, 33, 1029-1054.
Ahmed, M. A., Zaidan, B. B., Zaidan, A. A., Alamoodi, A. H., Albahri, O. S., Al-Qaysi, Z. T., Albahri, A. S., & Salih, M. M. (2021). Real-time sign language framework based on wearable device: analysis of MSL, DataGlove, and gesture recognition. Soft Computing, 25(16), 11101-11122.
Ahmed, M. A., Zaidan, B. B., Zaidan, A. A., Salih, M. M., Al-Qaysi, Z. T., & Alamoodi, A. H. (2021). Based on wearable sensory device in 3D-printed humanoid: A new real-time sign language recognition system. Measurement, 168, 108431.
Alamleh, A., Albahri, O. S., Zaidan, A. A., Alamoodi, A. H., Albahri, A. S., Zaidan, B. B., Qahtan, S., Binti Ismail, A. R., Malik, R. Q., & Baqer, M. J. (2023). Multi-attribute decision-making for intrusion detection systems: A systematic review. International Journal of Information Technology & Decision Making, 22(01), 589-636.
Alamleh, A., Albahri, O. S., Zaidan, A. A., Albahri, A. S., Alamoodi, A. H., Zaidan, B. B., Qahtan, S., Alsatar, H. A., Al-Samarraay, M. S., & Jasim, A. N. (2022). Federated learning for IoMT applications: A standardization and benchmarking framework of intrusion detection systems. IEEE Journal of Biomedical and Health Informatics, 27(2), 878-887.
Alamoodi, A. H., Albahri, O. S., Zaidan, A. A., AlSattar, H. A., Ahmed, M. A., Pamucar, D., Zaidan, B. B., Albahri, A. S., & Mahmoud, M. S. (2022). Correction: new extension of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score method based on cubic pythagorean fuzzy environment: a benchmarking case study of sign language recognition systems. International Journal of Fuzzy Systems, 24(7), 3348-3348.
Alamoodi, A. H., Albahri, O. S., Zaidan, A. A., AlSattar, H. A., Ahmed, M. A., Pamucar, D., Zaidan, B. B., Albahri, A. S., & Mahmoud, M. S. (2022). New extension of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score method based on cubic pythagorean fuzzy environment: a benchmarking case study of sign language recognition systems. International Journal of Fuzzy Systems, 24(4), 1909-1926.
Alamoodi, A. H., Albahri, O. S., Zaidan, A. A., Alsattar, H. A., Zaidan, B. B., & Albahri, A. S. (2023). Hospital selection framework for remote MCD patients based on fuzzy q-rung orthopair environment. Neural Computing and Applications, 35(8), 6185-6196.
Alamoodi, A. H., Mohammed, R. T., Albahri, O. S., Qahtan, S., Zaidan, A. A., Alsattar, H. A., Albahri, A. S., Aickelin, U., Zaidan, B. B., & Baqer, M. J. (2022). Based on neutrosophic fuzzy environment: a new development of FWZIC and FDOSM for benchmarking smart e-tourism applications. Complex & Intelligent Systems, 8(4), 3479-3503.
Alamoodi, A. H., Zaidan, B. B., Albahri, O. S., Garfan, S., Ahmaro, I. Y. Y., Mohammed, R. T., Zaidan, A. A., Ismail, A. R., Albahri, A. S., & Momani, F. (2023). Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions. Complex & Intelligent Systems, 1-27.
Alamoodi, A. H., Zaidan, B. B., Al-Masawa, M., Taresh, S. M., Noman, S., Ahmaro, I. Y. Y., Garfan, S., Chen, J., Ahmed, M. A., & Zaidan, A. A. (2021). Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy. Computers in Biology and Medicine, 139, 104957.
Alamoodi, A. H., Zaidan, B. B., Zaidan, A. A., Albahri, O. S., Chen, J., Chyad, M. A., Garfan, S., & Aleesa, A. M. (2021). Machine learning-based imputation soft computing approach for large missing scale and non-reference data imputation. Chaos, Solitons & Fractals, 151, 111236.
Alamoodi, A. H., Zaidan, B. B., Zaidan, A. A., Albahri, O. S., Mohammed, K. I., Malik, R. Q., Almahdi, E. M., Chyad, M. A., Tareq, Z., & Albahri, A. S. (2021). Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review. Expert systems with applications, 167, 114155.
Albahri, A. S., Albahri, O. S., Zaidan, A. A., Alnoor, A., Alsattar, H. A., Mohammed, R., Alamoodi, A. H., Zaidan, B. B., Aickelin, U., & Alazab, M. (2022). Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: a distribution case study of COVID-19 vaccine doses. Computer Standards & Interfaces, 80, 103572.
Albahri, A. S., Alnoor, A., Zaidan, A. A., Albahri, O. S., Hameed, H., Zaidan, B. B., Peh, S. S., Zain, A. B., Siraj, S. B., & Alamoodi, A. H. (2021). Based on the multi-assessment model: towards a new context of combining the artificial neural network and structural equation modelling: a review. Chaos, Solitons & Fractals, 153, 111445.
Albahri, A. S., Alnoor, A., Zaidan, A. A., Albahri, O. S., Hameed, H., Zaidan, B. B., Peh, S. S., Zain, A. B., Siraj, S. B., & Masnan, A. H. B. (2022). Hybrid artificial neural network and structural equation modelling techniques: a survey. Complex & Intelligent Systems, 8(2), 1781-1801.
Albahri, A. S., Al-Obaidi, J. R., Zaidan, A. A., Albahri, O. S., Hamid, R. A., Zaidan, B. B., Alamoodi, A. H., & Hashim, M. (2020). Multi-biological laboratory examination framework for the prioritization of patients with COVID-19 based on integrated AHP and group VIKOR methods. International Journal of Information Technology & Decision Making, 19(05), 1247-1269.
Albahri, A. S., Alwan, J. K., Taha, Z. K., Ismail, S. F., Hamid, R. A., Zaidan, A. A., Albahri, O. S., Zaidan, B. B., Alamoodi, A. H., & Alsalem, M. A. (2021). IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art. Journal of Network and Computer Applications, 173, 102873.
Albahri, O. S., Al-Samarraay, M. S., AlSattar, H. A., Alamoodi, A. H., Zaidan, A. A., Albahri, A. S., Zaidan, B. B., & Jasim, A. N. (2023). Rough Fermatean fuzzy decision-based approach for modelling IDS classifiers in the federated learning of IoMT applications. Neural Computing and Applications, 1-19.
Albahri, O. S., AlSattar, H. A., Garfan, S., Qahtan, S., Zaidan, A. A., Ahmaro, I. Y. Y., Alamoodi, A. H., Zaidan, B. B., Albahri, A. S., & Al-Samarraay, M. S. (2023). Combination of Fuzzy-Weighted Zero-Inconsistency and Fuzzy Decision by Opinion Score Methods in Pythagorean m-Polar Fuzzy Environment: A Case Study of Sign Language Recognition Systems. International Journal of Information Technology & Decision Making, 22(04), 1341-1369.
Albahri, O. S., Zaidan, A. A., Salih, M. M., Zaidan, B. B., Khatari, M. A., Ahmed, M. A., Albahri, A. S., & Alazab, M. (2021). Multidimensional benchmarking of the active queue management methods of network congestion control based on extension of fuzzy decision by opinion score method. International Journal of Intelligent Systems, 36(2), 796-831.
Al-Humairi, S., Hizami, A., Zaidan, A. A., Zaidan, B. B., Alsattar, H. A., Qahtan, S., Albahri, O. S., Talal, M., Alamoodi, A. H., & Mohammed, R. T. (2022). Towards sustainable transportation: a pavement strategy selection based on the extension of dual-hesitant fuzzy multi-criteria decision-making methods. IEEE Transactions on Fuzzy Systems, 31.
Alrubayi, A. H., Ahmed, M. A., Zaidan, A. A., Albahri, A. S., Zaidan, B. B., Albahri, O. S., Alamoodi, A. H., & Alazab, M. (2021). A pattern recognition model for static gestures in malaysian sign language based on machine learning techniques. Computers and Electrical Engineering, 95, 107383.
Alsalem, M. A., Alamoodi, A. H., Albahri, O. S., Dawood, K. A., Mohammed, R. T., Alnoor, A., Zaidan, A. A., Albahri, A. S., Zaidan, B. B., & Jumaah, F. M. (2022). Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review. Artificial Intelligence Review, 55(6), 4979-5062.
Alsalem, M. A., Albahri, O. S., Zaidan, A. A., Al-Obaidi, J. R., Alnoor, A., Alamoodi, A. H., Albahri, A. S., Zaidan, B. B., & Jumaah, F. M. (2022). Rescuing emergency cases of COVID-19 patients: an intelligent real-time MSC transfusion framework based on multicriteria decision-making methods. Applied Intelligence, 1-25.
Alsalem, M. A., Alsattar, H. A., Albahri, A. S., Mohammed, R. T., Albahri, O. S., Zaidan, A. A., Alnoor, A., Alamoodi, A. H., Qahtan, S., & Zaidan, B. B. (2021). Based on T-spherical fuzzy environment: a combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients. Journal of infection and public health, 14(10), 1513-1559.
Alsalem, M. A., Mohammed, R., Albahri, O. S., Zaidan, A. A., Alamoodi, A. H., Dawood, K., Alnoor, A., Albahri, A. S., Zaidan, B. B., & Aickelin, U. (2022). Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature. International Journal of Intelligent Systems, 37(6), 3514-3624.
Al-Samarraay, M. S., Salih, M. M., Ahmed, M. A., Zaidan, A. A., Albahri, O. S., Pamucar, D., AlSattar, H. A., Alamoodi, A. H., Zaidan, B. B., & Dawood, K. (2022). A new extension of FDOSM based on Pythagorean fuzzy environment for evaluating and benchmarking sign language recognition systems. Neural Computing and Applications, 1-19.
Al-Samarraay, M. S., Zaidan, A. A., Albahri, O. S., Pamucar, D., AlSattar, H. A., Alamoodi, A. H., Zaidan, B. B., & Albahri, A. S. (2022). Extension of interval-valued Pythagorean FDOSM for evaluating and benchmarking real-time SLRSs based on multidimensional criteria of hand gesture recognition and sensor glove perspectives. Applied Soft Computing, 116, 108284.
Alsattar, H. A., Qahtan, S., Mohammed, R. T., Zaidan, A. A., Albahri, O. S., Kou, G., Alamoodi, A. H., Albahri, A. S., Zaidan, B. B., & Al-Samarraay, M. S. (2022). Integration of FDOSM and FWZIC under homogeneous Fermatean fuzzy environment: a prioritization of COVID-19 patients for mesenchymal stem cell transfusion. International Journal of Information Technology & Decision Making, 1-41.
AlSereidi, A., Salih, S. Q. M., Mohammed, R. T., Zaidan, A. A., Albayati, H., Pamucar, D., Albahri, A. S., Zaidan, B. B., Shaalan, K., & Al-Obaidi, J. (2022). Novel federated decision making for distribution of anti-SARS-CoV-2 monoclonal antibody to eligible high-risk patients. International Journal of Information Technology & Decision Making, 1-72.
David, D., Alamoodi, A. H., Albahri, O. S., Garfan, S., Albahri, A. S., Zaidan, B. B., & Chen, J. (2023). Sign language mobile apps: a systematic review of current app evaluation progress and solution framework. Evolving Systems, 1-18.
Dawood, K. A., Sharif, K. Y., Ghani, A. A., Zulzalil, H., Zaidan, A. A., & Zaidan, B. B. (2021). Towards a unified criteria model for usability evaluation in the context of open source software based on a fuzzy Delphi method. Information and Software Technology, 130, 106453.
Dawood, K. A., Zaidan, A. A., Sharif, K. Y., Ghani, A. A., Zulzalil, H., & Zaidan, B. B. (2023). Novel multi-perspective usability evaluation framework for selection of open source software based on BWM and group VIKOR techniques. International Journal of Information Technology & Decision Making, 22(01), 187-277.
Deveci, M., Pamucar, D., Gokasar, I., Zaidan, B. B., Martinez, L., & Pedrycz, W. (2023). Assessing alternatives of including social robots in urban transport using fuzzy trigonometric operators based decision-making model. Technological Forecasting and Social Change, 194, 122743.
Garfan, S., Alamoodi, A. H., Zaidan, B. B., Al-Zobbi, M., Hamid, R. A., Alwan, J. K., Ahmaro, I. Y. Y., Khalid, E. T., Jumaah, F. M., & Albahri, O. S. (2021). Telehealth utilization during the Covid-19 pandemic: A systematic review. Computers in Biology and Medicine, 138, 104878.
Hamid, R. A., Albahri, A. S., Alwan, J. K., Al-Qaysi, Z. T., Albahri, O. S., Zaidan, A. A., Alnoor, A., Alamoodi, A. H., & Zaidan, B. B. (2021). How smart is e-tourism? A systematic review of smart tourism recommendation system applying data management. Computer Science Review, 39, 100337.
Ibrahim, H. A., Zaidan, A. A., Qahtan, S., & Zaidan, B. B. (2023). Sustainability assessment of palm oil industry 4.0 technologies in a circular economy applications based on interval-valued Pythagorean fuzzy rough set-FWZIC and EDAS methods. Applied Soft Computing, 136, 110073.
Jeevaraj, S., Gokasar, I., Deveci, M., Delen, D., Zaidan, B. B., Wen, X., Shang, W.-L., & Kou, G. (2023). Adoption of energy consumption in urban mobility considering digital carbon footprint: A two-phase interval-valued Fermatean fuzzy dominance methodology. Engineering Applications of Artificial Intelligence, 126, 106836.
Kareem, Z. H., Zaidan, A. A., Ahmed, M. A., Zaidan, B. B., Albahri, O. S., Alamoodi, A. H., Malik, R. Q., Albahri, A. S., Ameen, H. A., & Garfan, S. (2022). An approach to pedestrian walking behaviour classification in wireless communication and network failure contexts. Complex & Intelligent Systems, 1-23.
Khatari, M., Zaidan, A. A., Zaidan, B. B., Albahri, O. S., Alsalem, M. A., & Albahri, A. S. (2021). Multidimensional benchmarking framework for AQMs of network congestion control based on AHP and group-TOPSIS. International Journal of Information Technology & Decision Making, 20(05), 1409-1446.
Krishnan, E., Mohammed, R., Alnoor, A., Albahri, O. S., Zaidan, A. A., Alsattar, H., Albahri, A. S., Zaidan, B. B., Kou, G., & Hamid, R. A. (2021). Interval type 2 trapezoidal‐fuzzy weighted with zero inconsistency combined with VIKOR for evaluating smart e‐tourism applications. International Journal of Intelligent Systems, 36(9), 4723-4774.
Malik, R. Q., Zaidan, A. A., Zaidan, B. B., Ramli, K. N., Albahri, O. S., Kareem, Z. H., Ameen, H. A., Garfan, S. S., Mohammed, A., & Zaidan, R. A. (2022). Novel roadside unit positioning framework in the context of the vehicle-to-infrastructure communication system based on AHP—Entropy for weighting and borda—VIKOR for uniform ranking. International Journal of Information Technology & Decision Making, 21(04), 1233-1266.
Mohammed, R. T., Alamoodi, A. H., Albahri, O. S., Zaidan, A. A., AlSattar, H. A., Aickelin, U., Albahri, A. S., Zaidan, B. B., Ismail, A. R., & Malik, R. Q. (2023). A decision modeling approach for smart e-tourism data management applications based on spherical fuzzy rough environment. Applied Soft Computing, 143, 110297.
Mohammed, R. T., Zaidan, A. A., Yaakob, R., Sharef, N. M., Abdullah, R. H., Zaidan, B. B., Albahri, O. S., & Abdulkareem, K. H. (2022). Determining importance of many-objective optimisation competitive algorithms evaluation criteria based on a novel fuzzy-weighted zero-inconsistency method. International Journal of Information Technology & Decision Making, 21(01), 195-241.
Mohammed, T. J., Albahri, A. S., Zaidan, A. A., Albahri, O. S., Al-Obaidi, J. R., Zaidan, B. B., Larbani, M., Mohammed, R. T., & Hadi, S. M. (2021). Convalescent-plasma-transfusion intelligent framework for rescuing COVID-19 patients across centralised/decentralised telemedicine hospitals based on AHP-group TOPSIS and matching component. Applied Intelligence, 51, 2956-2987.
Qahtan, S., Sharif, K. Y., Zaidan, A. A., Alsattar, H. A., Albahri, O. S., Zaidan, B. B., Zulzalil, H., Osman, M. H., Alamoodi, A. H., & Mohammed, R. T. (2022). Novel multi security and privacy benchmarking framework for blockchain-based IoT healthcare industry 4.0 systems. IEEE Transactions on Industrial Informatics, 18(9), 6415-6423.
Salih, M. M., Albahri, O. S., Zaidan, A. A., Zaidan, B. B., Jumaah, F. M., & Albahri, A. S. (2021). Benchmarking of AQM methods of network congestion control based on extension of interval type-2 trapezoidal fuzzy decision by opinion score method. Telecommunication Systems, 77, 493-522.
Xiao, P., Salleh, M. I., Zaidan, B. B., & Xuelan, Y. (2023). Research on risk assessment of Blockchain-driven Supply Chain finance: A systematic review. Computers & Industrial Engineering, 108990.
Zaidan, A. A., Alnoor, A., Albahri, O. S., Mohammed, R. T., Alamoodi, A. H., Albahri, A. S., Zaidan, B. B., Garfan, S., Hameed, H., & Al-Samarraay, M. S. (2023). Review of artificial neural networks-contribution methods integrated with structural equation modeling and multi-criteria decision analysis for selection customization. Engineering Applications of Artificial Intelligence, 124, 106643.
Zaidan, R. A., Alamoodi, A. H., Zaidan, B. B., Zaidan, A. A., Albahri, O. S., Talal, M., Garfan, S., Sulaiman, S., Mohammed, A., & Kareem, Z. H. (2022). Comprehensive driver behaviour review: Taxonomy, issues and challenges, motivations and research direction towards achieving a smart transportation environment. Engineering Applications of Artificial Intelligence, 111, 104745.

Conferences & Workshops

I have actively engaged in various postgraduate activities as a chairman and examiner, overseeing defense and evaluation processes for master's and PhD students. Furthermore, I have shared my expertise by delivering 100 workshops as a guest and main speaker, assisting postgraduate students in their research journeys, both within Malaysia and through online platforms.

Awards & Recognition

International Competitions

Anti-Pornography software, PECIPCA Gold Medal, 2013
An Automated anti-pornography system using multi-agent learning of neural and Bayesian methods in skin detector and pornography classifier, ITEX Gold Medal, 2014
Robust pornography classification solving the image size variation based on multi agent learning, PECIPCA Silver Medal, 2015
A method and system for football player selection based on multi-criteria decision-making technique, UTEMEX Silver Medal, 2015
on Medical disaster: A novel methodology engine to triage and prioritize for big-data of patients with chronic heart diseases over telemedicine based on integrated BFAWC-TOPSIS Methods, ITEX Silver Medal, 2016
A Smart Software for Virtualized the evaluation and benchmarking of data mining real time applications based on multi-dimensional Criteria, ITEX Gold Medal 2017
Based on Multi-Attributes Data Analysis: A multi-Function Recommendation System for Evaluating and optimizing the applicants on different criteria in each level of SDLC process, PECIPTA Bronze Medal, 2017
A Multi-Functions Recommendation System for Evaluating and Optimizing the applicants on different criteria in each level of SDLC processes, PECIPCA Silver Medal, 2017
A Novel Smart Multi-Sustainable System for Virtualizing the Best Applicants by Optimizing Their Abilities Level Using University Recorded Data and SWEBOk.V3, ITEX Gold Medal, 2018
An Integrated platform in Multi-Classes for Multi-Dimensional Evaluation to Virtualized and Benchmarking of Data Mining Real Time Applications, MTE Gold Medal, 2018
A Smart Virtualized Software for Evaluation and Selection of Young Learners English Language mobile Applications Based on Multi-Dimensional Criteria, MERIT Silver Medal, 2019
A Sensory Gloves for Intensive Motions Capturing, PECIPTA Gold Medal, 2019
E-Aduan MPP UPSI IE-RIICH Golden Medal, 2019
A novel multi criteria decision making software tool, ITEX Gold Medal, 2020
Multi- function Federated Decision-Making Anti-SARS-CoV-2 Monoclonal Antibodies Distribution for Eligible High Risk Patient, MTE Gold Medal, 2022
Multi- function Federated Decision-Making Anti-SARS-CoV-2 Monoclonal Antibodies Distribution for Eligible High Risk Patient, MTE Special Award from Chinese Innovation and invention (Taiwan), 2022

University Recognition

Certificate of Appreciation for Outstanding Services, Universiti Pendidikan Sultan Idris (University), 2016
Certificate of Appreciation for Outstanding Services, Universiti Pendidikan Sultan Idris (University), 2017
Certificate of Appreciation for Outstanding Services, Universiti Pendidikan Sultan Idris (University), 2018
Certificate of Appreciation for Outstanding Services, Universiti Pendidikan Sultan Idris (University), 2019
Certificate of Appreciation for Outstanding Services, Universiti Pendidikan Sultan Idris (University), 2020
The International Cooperation Award Category, BITARA Research and Innovation Award (AURA 2020) UPSI 2020
Top Publication Award/ Rising Star, Rising Stars Award for High Ranked Journals. UPSI, 2017
Top Publication Award/ Rising Star, Rising Stars Award for High Ranked Journals. UPSI, 2018
Top Publication Award/ Rising Star, Rising Stars Award for High Ranked Journals. UPSI, 2019
Top Publication Award/ Rising Star, Rising Stars Award for High Ranked Journals. UPSI, 2020
Top Publication Award/ Rising Star, Rising Stars Award for High Ranked Journals. UPSI, 2021

International Recognition

I was also selected by Stanford University as one of the "World's Top 2% Scientists" regularly since 2021 and ranked number 3 nationwide in Malaysia in the field of computer science according to research.com

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