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Associate Professor Dr Mehrbakhsh Nilashi

Associate Professor

Academic Qualifications

PhD in Computer Science
MSc in Industrial Engineering
Bachelor of Computer Engineering

Areas of Interest
Artificial Intelligence
Big Data Analytics
Business Intelligence
Digital Marketing
Biography

Dr. Mehrbakhsh Nilashi is currently an Assistant Professor at ÎåÒ»³Ô¹Ï¹ÙÍø Graduate Business School in Malaysia. Prior to his academic career, he joined UTM Alumni and UTM Career Centre as a data scientist and website developer.

Dr. Nilashi graduated with a Bachelor¡¯s degree in Computer Software Engineering from the Islamic Azad University, Lahijan Branch in 2006. He received his Master¡¯s degree in Industrial Engineering from the Iran University of Science and Technology in 2010. He received his Ph.D. degree in Computer Science from the Faculty of Computing, Universiti Teknologi Malaysia in 2014. He was a postdoctoral fellow and visiting researcher at Universiti Teknologi Malaysia from 2014 until 2021.

Dr. Nilashi¡¯s research interests are mainly in the fields of Artificial Intelligence and Business Analytics. He has had the results of his projects disseminated in journals of the uppermost echelon, such as the Nature Scientific Reports (Nature; SCIE), Technovation (Elsevier; SSCI), Tourism Management (Elsevier; SSCI), Journal of Hospitality and Tourism Management (Elsevier; SSCI), International Journal of Fuzzy Systems (Springer; SCIE), Information Sciences (Elsevier; SCIE), Journal of Cleaner Production (Elsevier; SCIE), Journal of Biomedical Informatics (Elsevier; SCIE), Computers & Industrial Engineering (Elsevier; SCIE), Complexity (Hindawi; SCIE), Universal Access in the Information Society (Springer; SCIE), Technology in Society (Elsevier; SSCI), Journal of Medical Informatics (Elsevier; SCIE), Expert Systems with Applications (Elsevier; SCIE), Knowledge-Based Systems (Elsevier; SCIE), Electronic Commerce Research and Applications (Elsevier; SSCI), Journal of Trace Elements in Medicine and Biology (Elsevier; SCIE), Telematics and Informatics (Elsevier; SSCI), Technological Forecasting and Social Change (Elsevier; SSCI), Computers in Human Behavior (Elsevier; SSCI), International Journal of Hospitality Management (Elsevier; SSCI), Optics & Laser Technology (Elsevier; SCIE), Journal of Computational Science (Elsevier; SCIE), Applied Soft Computing (Elsevier; SCIE), Journal of Infection and Public Health (Elsevier; SCIE), Resources, Conservation and Recycling (Elsevier; SCIE), ICT Express (Elsevier; SCIE), Computer Methods and Programs in Biomedicine (Elsevier; SCIE), Journal of Retailing and Consumer Services (Elsevier; SSCI), etc.

As an active researcher, Dr. Nilashi has published more than 200 research works to date in artificial intelligence and information systems. His research shows a considerable impact, with high citations recorded based on GoogleScholar (Citations: 8885; H-Index: 54) and Scopus indices (Citations: 4700; H-Index: 42). Dr. Nilashi¡¯s Field Weighted Citation Impact (FWCI) is 3.13 which indicates his publications have received 3.13 times more citations than the expected world average in the similar field.                                                                                                           

Dr. Nilashi has attained excellent research records in the field of artificial intelligence. Stanford University in the United States has ranked him as one of the world's top 2% of scientists in the world. This is awarded by Elsevier in recognition of his outstanding contributions in the Artificial Intelligence field. In addition, his research ¡°A hybrid intelligent system for the prediction of Parkinson's Disease progression using machine learning techniques¡± in Biocybernetics and Biomedical Engineering was nominated for the ATLAS award.

In addition to excellence in research and publication, he is also a member of the editorial board of several scientific journals such as Applied Soft Computing (Elsevier; SCIE) and Electronic Commerce Research and Applications (Elsevier; SSCI). He has also served as a  Guest  Editor for several special issues in different journals, including Sustainability (MDPI; SSCI) (Data Analytics and Predictive Analytics for Sustainable Development; Advances in Artificial Intelligence in Sustainable Business Management), Complexity (Hindawi; SCIE) (Managing Information Uncertainty and Complexity in Decision-Making), Mobile Information Systems (Hindawi; SCIE) (Trends in Machine Learning and Deep Learning Approaches for Mobile Data Analytics in Education, Applied Soft Computing (Elsevier; SCIE) (COVID-19 Fast Track submission option; Waste Management Using Multi-Criteria Decision-Making (MCDM) Approaches), Computational and Mathematical Methods in Medicine (Hindawi; SCIE) (Applications of Machine Learning in Parkinson's Disease Diagnosis). He founded and served as the Editor-in-Chief of the Journal of Soft Computing and Decision Support Systems. Overall, he has handled more than 200 research works and reviewed more than 500 submissions in SCIE and SSCI journals. Dr. Nilashi has been the reviewers of many academic journals: Applied Soft Computing (Elsevier; SCIE), Electronic Commerce Research and Applications (Elsevier; SSCI), International Journal of Environmental Science and Technology (Springer; SCIE), International Journal of Hospitality Management (Elsevier; SSCI), Information Science (Elsevier; SCIE), Healthcare Engineering (Hindawi; SCIE), ICT Express (Elsevier; SCIE), Computer Methods and Programs in Biomedicine (Elsevier; SCIE), Knowledge-Based Systems (Elsevier; SCIE), European Journal of Marketing (Emerald; SSCI), International Journal of Machine Learning and Cybernetics (Springer; SCIE), International Journal of Intelligent Systems (Wiley; SCIE), Journal of Biomedical Informatics (Elsevier; SCIE), Journal of the Association for Information Science and Technology (Wiley; SCIE), Biomedical Signal Processing and Control (Elsevier; SCIE), Telematics and Informatics (Elsevier; SSCI), Wireless Communications and Mobile Computing (Wiley; SCIE), BMC Medical Informatics and Decision Making (BMC; SCIE), Computerized Medical Imaging and Graphics (Elsevier; SCIE), Information Processing and Management (Elsevier; SCIE), Journal of Retailing and Consumer Services (Elsevier; SSCI), Expert Systems With Applications (Elsevier; SCIE), Mobile Information Systems (Hindawi; SCIE), Journal of Infection and Public Health (Elsevier; SCIE), Arabian Journal for Science and Engineering (Springer; SCIE), International Journal of Fuzzy Systems (Springer; SCIE), Journal of Healthcare Engineering (Hindawi; SCIE), Journal of Cleaner Production (Elsevier; SCIE), Industrial Management & Data Systems (Emerald; SCIE), and others.

Dr. Nilashi¡¯s developments of novel expert systems can boost the hotel industry. As an example, his project on ¡°An Incremental Tourism (INCTOURISM) Software System based on Artificial Intelligent Approaches for Tourism Product Marketing in Malaysian Rural Areas¡± was funded for Prototype Development Research by The Ministry of Higher Education Malaysia to help Malaysia¡¯s rural areas for tourism product marketing. Another of his project entitled ¡°Multi-Criteria Collaborative Filtering System Based on Incremental Support Vector Regression and Dimensionality Reduction Techniques¡± has obtained funding from the Fundamental Research Grant Scheme by The Ministry of Higher Education Malaysia to improve the quality and precision of the online recommendation services. Further, his project entitled ¡°A Framework for Decision-Making under Risk and Uncertainty for Supply Chain Performance in Electric Vehicle Manufacturing in Malaysia¡± is supported by Fundamental Research Grant Scheme by The Ministry of Higher Education Malaysia to develop a comprehensive framework for the evaluation of supply chain in electric vehicle manufacturing companies.

(Last updated: 29th July 2022)

Teaching

  • Artificial Intelligence
  • Machine Learning
  • Decision Support Systems
  • Research Methods

Achievement and Awards

  • Best P.h.D student at Universiti Teknologi Malaysia
  • Top 2% scientists in the World in the Field of  Artificial Intelligence Ranked by Stanford University
  • Article nominated for ATLAS award from across Elsevier¡¯s 1,800 journals
  • Best reviewer in Elsevier publisher

Publications

  1. Iranmanesh, M., Ghobakhloo, M., Nilsashi, M., Tseng, M. L., Senali, M. G., & Abbasi, G. A. (2022). Impacts of the COVID-19 pandemic on household food waste behaviour: A systematic review. Appetite, 106127.  (Elsevier, Science Citation Index Expanded (SCIE); JCR 2022 IF: 5.016)

  2. Iranmanesh, M., Ghobakhloo, M., Nilashi, M., Tseng, M. L., Yadegaridehkordi, E., & Leung, N. (2022). Applications of disruptive digital technologies in hotel industry: A systematic review. International Journal of Hospitality Management, 107, 103304. (Elsevier, Social Sciences Citation Index (SSCI); JCR 2022 IF: 10.427)

  3. Ghobakhloo, M., Iranmanesh, M., Mubarak, M. F., Mubarik, M., Rejeb, A., & Nilashi, M. (2022). Identifying industry 5.0 contributions to sustainable development: A strategy roadmap for delivering sustainability values. Sustainable Production and Consumption.  (Elsevier, Science Citation Index Expanded (SCIE); JCR 2022 IF: 5.687)

  4. Ghane, M., Ang, M. C., Nilashi, M., & Sorooshian, S. (2022). Enhanced decision tree induction using evolutionary techniques for Parkinson's disease classification. Biocybernetics and Biomedical Engineering. (Elsevier, Science Citation Index Expanded (SCIE); JCR 2022 IF: 5.687).

  5. Nilashi, M., Minaei-Bidgoli, B., Alghamdi, A., Alrizq, M., Alghamdi, O., Nayer, F. K., Aljehaneg, N.O., Khosravih, A., & Mohd, S. (2022). Knowledge discovery for course choice decision in Massive Open Online Courses using machine learning approaches. Expert Systems with Applications, 199, 117092 (Elsevier, Science Citation Index Expanded (SCIE); JCR 2022 IF: 8.665).

  6. Nilashi, M., Abumalloh, R. A., Alrizq, M., Almulihi, A., Alghamdi, O. A., Farooque, M., ... & Ahmadi, H. (2022). A hybrid method to solve data sparsity in travel recommendation agents using fuzzy logic approach. Mathematical Problems in Engineering. (Hindawi, Science Citation Index Expanded (SCIE); JCR 2022 IF: 1.430).

  7. Nilashi, M., Abumalloh, R. A., Minaei-Bidgoli, B., Zogaan, W. A., Alhargan, A., Mohd, S., ... & Samad, S. (2022). Revealing travellers¡¯ satisfaction during COVID-19 outbreak: moderating role of service quality. Journal of Retailing and Consumer Services, 64, 102783. (Elsevier, Social Sciences Citation Index (SSCI); JCR 2022 IF: 10.972).

  8. Nilashi, M., Fallahpour, A., Wong, K. Y., & Ghabban, F. (2022). Customer satisfaction analysis and preference prediction in historic sites through electronic word of mouth. Neural Computing and Applications (Springer, Science Citation Index Expanded (SCIE); JCR 2022 IF: 5.606).

  9. Nilashi, M., Abumalloh, R. A., Alrizq, M., Alghamdi, A., Samad, S., Almulihi, A., ... & Mohd, S. (2022). What is the impact of eWOM in social network sites on travel decision-making during the COVID-19 outbreak? A two-stage methodology. Telematics and Informatics, 69, 101795. (Elsevier, Social Sciences Citation Index (SSCI); JCR 2022 IF: 9.14).

  10. Nilashi, M., Abumalloh, R. A., Zibarzani, M., Samad, S., Zogaan, W. A., Ismail, M. Y., ... & Akib, N. A. M. (2022). What factors influence students satisfaction in massive open online courses? findings from user-generated content using educational data mining. Education and Information Technologies. (Springer, Social Sciences Citation Index (SSCI); JCR 2022 IF: 3.666).

  11. Yadegaridehkordi, E., & Nilashi, M. (2022). Moving towards green university: a method of analysis based on multi-criteria decision-making approach to assess sustainability indicators. International Journal of Environmental Science and Technology. (Springer, Science Citation Index Expanded (SCIE); JCR 2022 IF: 3.519).

  12. Ahmadi, N., Nilashi, M., Minaei-Bidgoli, B., Farooque, M., Samad, S., Aljehane, N. O., ... & Ahmadi, H. (2022). Eye state identification utilizing eeg signals: a combined method using self-organizing map and deep belief network. Scientific Programming (Hindawi, Science Citation Index Expanded (SCIE); JCR 2022 IF: 1.672).

  13. Nilashi M, Abumalloh RA, Minaei-Bidgoli B, Samad S, Yousoof Ismail M, Alhargan A, Abdu Zogaan W. Predicting Parkinson¡¯s disease progression: evaluation of ensemble methods in machine learning. Journal of Healthcare Engineering. (Hindawi, Science Citation Index Expanded (SCIE); JCR 2022 IF: 3.822).

  14. Senali, M. G., Iranmanesh, M., Ghobakhloo, M., Gengatharen, D., Tseng, M. L., & Nilashi, M. (2022). Flipped classroom in business and entrepreneurship education: A systematic review and future research agenda. The International Journal of Management Education, 20(1), 100614. (Elsevier, Social Sciences Citation Index (SSCI); JCR 2022 IF: 4.564).

  15. Asadi, S., Nilashi, M., Iranmanesh, M., Hyun, S. S., & Rezvani, A. (2021). Effect of internet of things on manufacturing performance: A hybrid multi-criteria decision-making and neuro-fuzzy approach. Technovation, 102426. [ISI,  Q1, IF=6.606].
  16. Nilashi, M., Abumalloh, R.A., Almulihi, A., Alrizq, M., Alghamdi, A., Ismail, M.Y., Bashar, A., Zogaan, W.A. and Asadi, S., 2021. Big social data analysis for impact of food quality on travelers¡¯ satisfaction in eco-friendly hotels. ICT Express. [ISI,  Q1, IF=4.317].
  17. Ahani, Ali, Mehrbakhsh Nilashi, Waleed Abdu Zogaan, Sarminah Samad, Nojood O. Aljehane, Ashwaq Alhargan, Saidatulakmal Mohd, Hossein Ahmadi, and Louis Sanzogni. "Evaluating medical travelers¡¯ satisfaction through online review analysis." Journal of Hospitality and Tourism Management 48 (2021): 519-537. [ISI,  Q1, IF=5.959].
  18. Nilashi, M., Samad, S., Ahani, A., Amadi, H., Alsolami, E., Mahmoud, M., ... & Alarood, A. A. (2021). Travellers Decision Making through Preferences Learning: A Case on Malaysian Spa Hotels in TripAdvisor. Computers & Industrial Engineering, 107348. [ISI,  Q1, IF=4.135].
  19. Nilashi, M., Minaei-Bidgoli, B., Alrizq, M., Alghamdi, A., Alsulami, A. A., Samad, S., & Mohd, S. (2021). An Analytical Approach for Big Social Data Analysis for Customer Decision-Making in Eco-Friendly Hotels. Expert Systems with Applications, 115722.  [ISI,  Q1, IF=6.182].
  20. Nilashi, M., Ahmadi, H., Arji, G., Alsalem, K.O., Samad, S., Ghabban, F., Alzahrani, A.O., Ahani, A. and Alarood, A.A., 2021. Big social data and customer decision making in vegetarian restaurants: A combined machine learning method. Journal of Retailing and Consumer Services, 62, p.102630. [ISI,  Q1, IF=7.135].
  21. Nilashi, M., Abumalloh, R. A., Minaei-Bidgoli, B., Zogaan, W. A., Alhargan, A., Mohd, S.,  & Samad, S. (2021). Revealing Travellers¡¯ Satisfaction during COVID-19 Outbreak: Moderating Role of Service Quality. Journal of Retailing and Consumer Services, 102783. [ISI,  Q1, IF=7.135].
  22. Samad, S., Nilashi, M., Almulihi, A., Alrizq, M., Alghamdi, A., Mohd, S., Ahmadi, H. and Azhar, S.N.F.S., 2021. Green Supply Chain Management practices and impact on firm performance: The moderating effect of collaborative capability. Technology in Society, 67, p.101766. [ISI,  Q1, IF=4.192].
  23. Asadi, S., Nilashi, M., Iranmanesh, M., Ghobakhloo, M., Samad, S., Alghamdi, A., Almulihi, A. and Mohd, S., 2022. Drivers and barriers of electric vehicle usage in Malaysia: A DEMATEL approach. Resources, Conservation and Recycling, 177, p.105965. . [ISI,  Q1, IF=10.204].
  24. Taheri, S., Asadi, S., Nilashi, M., Ali, R., Ghabban, N. M., Yusuf, S. Y. M., ... & Samad, S. (2021). A Literature Review on Beneficial Role of Vitamins and Trace Elements: Evidence from Published Clinical Studies. Journal of Trace Elements in Medicine and Biology, 126789. [ISI,  Q1, IF=3.245].
  25. Ali, R., Nilashi, M., Ismail, M.Y., Alhargan, A., Alghamdi, A., Alzahrani, A.O., Saraireh, L., Osman, R. and Asadi, S., 2021. Medical Image Processing and COVID-19: A Literature Review and Bibliometric Analysis. Journal of Infection and Public Health. [ISI,  Q2, IF=3.718].
  26. Nilashi, M., Abumalloh, R. A., Alghamdi, A., Minaei-Bidgoli, B., Alsulami, A. A., Thanoon, M., ... & Samad, S. (2021). What is the impact of service quality on customers¡¯ satisfaction during COVID-19 outbreak? New findings from online reviews analysis. Telematics and Informatics, 101693. [ISI,  Q1, IF=6.954].
  27. Asadi, S., Nilashi, M., Abumalloh, R.A., Samad, S., Ahani, A., Ghabban, F., Yusuf, S.Y.M. and Supriyanto, E., 2021. Evaluation of Factors to Respond to the COVID-19 Pandemic Using DEMATEL and Fuzzy Rule-Based Techniques. International Journal of Fuzzy Systems, pp.1-17. [ISI,  Q1, IF=4.409].
  28. Nilashi, M., Asadi, S., Abumalloh, R. A., Samad, S., Ghabban, F., & Ahani, A. (2021). Recommendation agents and information sharing through social media for coronavirus outbreak. Telematics and Informatics, 101597. [ISI,  Q1, IF=4.139].
  29. Nilashi, Mehrbakhsh, et al. "Sustainability Performance Assessment Using Self-Organizing Maps (SOM) and Classification and Ensembles of Regression Trees (CART)." Sustainability 13.7 (2021): 3870.  [ISI,  Q2, IF=2.576].
  30. Asadi, S., Nilashi, M., Samad, S., Rupani, P. F., Kamyab, H., & Abdullah, R. (2021). A Proposed Adoption Model for Green IT in Manufacturing Industries. Journal of Cleaner Production, 126629. [ISI,  Q1, IF=4.139].
  31. Nilashi, M., Online Reviews Analysis for Customer Segmentation through Dimensionality Reduction and Deep Learning Techniques, Arabian Journal for Science and Engineering. [ISI,  Q2, IF=1.711].
  32. Yadegaridehkordi, E., Nilashi, M., Nasir, M. H. N. B. M., Momtazi, S., Samad, S., Supriyanto, E., & Ghabban, F. (2021). Customers segmentation in eco-friendly hotels using multi-criteria and machine learning techniques. Technology in Society, 65, 101528. [ISI,  Q1, IF=2.41].
  33. Al-Hadi, I. A. A. Q., Sharef, N. M., Sulaiman, M. N., Mustapha, N., & Nilashi, M. (2020). Latent based temporal optimization approach for improving the performance of collaborative filtering. PeerJ Computer Science, 6, e331. [ISI,  Q1, IF=3.09].
  34. Nilashi, M., Samad, S., Yusuf, S.Y.M. and Akbari, E., 2020. Can complementary and alternative medicines be beneficial in the treatment of COVID-19 through improving immune system function?. Journal of Infection and Public Health. [ISI,  Q2, IF=2.487].
  35. S Asadi, M Nilashi, S Samad, R Abdullah, M Mahmoud, MH Alkinani, Factors Impacting Consumers¡¯ Intention toward Adoption of Electric Vehicles in Malaysia, (2020), Journal of Cleaner Production,  [ISI,  Q1, IF=7.264].
  36. Rupani, P. F., Nilashi, M., Abumalloh, R. A., Asadi, S., Samad, S., & Wang, S. (2020). Coronavirus pandemic (COVID-19) and its natural environmental impacts. International Journal of Environmental Science and Technology, 1-12. [ISI,  Q2, IF=2.540].
  37. Nilashi, M., Ahmadi, H., Sheikhtaheri, A., Naemi, R., Alotaibi, R., Alarood, A.A., Munshi, A., Rashid, T.A. and Zhao, J., 2020. Remote Tracking of Parkinson's Disease Progression Using Ensembles of Deep Belief Network and Self-Organizing Map. Expert Systems with Applications, p.113562. [ISI,  Q1, IF=4.292].
  38. Dalvi-Esfahani, M., Alaedini, Z., Nilashi, M., Samad, S., Asadi, S., & Mohammadi, M. (2020). Students¡¯ green information technology behavior: Beliefs and personality traits. Journal of cleaner production, 257, 120406. [ISI, Q1, IF=6.395].
  39. Nilashi, M., Ibrahim, O., Samad, S., Ahmadi, H., Shahmoradi, L., & Akbari, E. (2019). An Analytical Method for Measuring the Parkinson¡¯s Disease Progression: A Case on a Parkinson¡¯s Telemonitoring Dataset. Measurement. [ISI,  IF=2.791].
  40. Arji, G., Ahmadi, H., Nilashi, M., Rashid, T.A., Ahmed, O.H., Aljojo, N. and Zainol, A., 2019. Fuzzy logic approach for infectious disease diagnosis: A methodical evaluation, literature and classification. Biocybernetics and Biomedical Engineering. [ISI,  Q2, IF=2.159].
  41. Mardani, A., Liao, H., Nilashi, M., Alrasheedi, M., & Cavallaro, F. (2020). A Multi-Stage Method to Predict Carbon Dioxide Emissions Using Dimensionality Reduction, Clustering, and Machine Learning Techniques. Journal of Cleaner Production, 122942. [ISI,  Q1, IF=7.264].
  42. Yadegaridehkordi, E., Hourmand, M., Nilashi, M., Alsolami, E., Samad, S., Mahmoud, M., ... & Shuib, L. (2020). Assessment of Sustainability Indicators for Green Building Manufacturing Using Fuzzy Multi-Criteria Decision Making Approach. Journal of Cleaner Production, 122905. [ISI,  Q1, IF=7.264].
  43. Ahmadi, H., Gholamzadeh, M., Shahmoradi, L., Nilashi, M., & Rashvand, P. (2018). Diseases Diagnosis Using Fuzzy Logic Methods: A Systematic and Meta-Analysis Review. Computer Methods and Programs in Biomedicine. [ISI, Q1, IF  2.503]
  44. Nilashi, M., Ahmadi, H., Shahmoradi, L., Ibrahim, O., & Akbari, E. (2018). A predictive method for hepatitis disease diagnosis using ensembles of neuro-fuzzy technique. Journal of infection and public health. [ISI,  IF=2.118].
  45. Nilashi, M., Ibrahim, O., Ahmadi, H., Shahmoradi, L., & Farahmand, M. (2018). A hybrid intelligent system for the prediction of Parkinson's Disease progression using machine learning techniques. Biocybernetics and Biomedical Engineering, 38(1), 1-15. [ISI,  IF  1.031]. [Article nominated for ATLAS award, ]
  46. Nilashi, M., Ahmadi, H., Manaf, A.A., Rashid, T.A., Samad, S., Shahmoradi, L., Aljojo, N. and Akbari, E. (2020). Coronary Heart Disease Diagnosis Through Self-Organizing Map and Fuzzy Support Vector Machine with Incremental Updates. International Journal of Fuzzy Systems, 1-13. [ISI,  Journal, Q2, IF=3.05].
  47. Asadi, S., Pourhashemi, S.O., Nilashi, M., Abdullah, R., Samad, S., Yadegaridehkordi, E., Aljojo, N. and Razali, N.S., 2020. Investigating Influence of Green Innovation on Sustainability Performance: A Case on Malaysian Hotel Industry. Journal of Cleaner Production, p.120860. [ISI, Q1, IF=6.395].
  48. Akbari, E., Nabipour, N., Hadavi, S.M. and Nilashi, M., 2020. Analytical investigation of ion-sensitive field effect transistor based on graphene. Journal of Materials Science: Materials in Electronics, pp.1-6. [ISI,  Q2, IF=2.195].
  49. Yadegaridehkordi, E., Nilashi, M., Shuib, L., Nasir, M.H.N.B.M., Asadi, S., Samad, S. and Awang, N.F., 2020. The impact of big data on firm performance in hotel industry. Electronic Commerce Research and Applications, 40, p.100921. [ISI,  Journal, Q1, IF=2.911].
  50. Nilashi, M., Yadegaridehkordi, E., Samad, S., Mardani, A., Ahani, A., Aljojo, N., Razali, N.S. and Tajuddin, T., 2020. Decision to Adopt Neuromarketing Techniques for Sustainable Product Marketing: A Fuzzy Decision-Making Approach. Symmetry, 12(2), p.305. [ISI,  Q1, IF=2.143]
  51. Abumalloh, R., Ibrahim, O. and Nilashi, M., 2020. Loyalty of young female Arabic customers towards recommendation agents: A new model for B2C E-commerce. Technology in Society, p.101253. [ISI,  Q3, IF=1.67].
  52. Kheirandish, A., Akbari, E., Nilashi, M., & Dahari, M. (2019). Using ANFIS technique for PEM fuel cell electric bicycle prediction model. International Journal of Environmental Science and Technology, 1-8. [ISI, IF=2.031].
  53. Nilashi, M., Mardani, A., Liao, H., Ahmadi, H., Manaf, A. A., & Almukadi, W. (2019). A hybrid method with TOPSIS and machine learning techniques for sustainable development of green hotels considering online reviews. Sustainability, 11(21), 6013. [ISI,  Journal, Q2, IF=2.592].
  54. Nilashi, M., Samad, S., Manaf, A. A., Ahmadi, H., Rashid, T. A., Munshi, A Ahmed, O. H. (2019). Factors influencing medical tourism adoption in Malaysia: A DEMATEL-Fuzzy TOPSIS approach. Computers & Industrial Engineering, 137, 106005. [ISI,  A Journal, Q1, IF=3.518].
  55. Nilashi, M., Ahani, A., Esfahani, M.D., Yadegaridehkordi, E., Samad, S., Ibrahim, O., Sharef, N.M. and Akbari, E., 2019. Preference learning for eco-friendly hotels recommendation: A multi-criteria collaborative filtering approach. Journal of Cleaner Production, 215, pp.767-783. [ISI,  Journal, Q1, IF=6.395].
  56. Yadegaridehkordi, Elaheh, Mehrbakhsh Nilashi, Liyana Shuib, Shahla Asadi, and Othman Ibrahim. "Development of a SaaS adoption decision-making model using a new hybrid MCDM approach." International Journal of Information Technology & Decision Making (IJITDM) 18, no. 06 (2019): 1845-1874. [ISI,  Journal, Q2, IF=2.862].
  57. Dalvi-Esfahani, M., Niknafs, A., Kuss, D. J., Nilashi, M., & Afrough, S. (2019). Social media addiction: Applying the DEMATEL approach. Telematics and Informatics, 43, 101250. [ISI,  A Journal, Q1, IF=3.714].
  58. Nilashi, M., Rupani, P. F., Rupani, M. M., Kamyab, H., Shao, W., Ahmdi, H., ... & Aljojo, N. (2019). Measuring sustainability through ecological sustainability and human sustainability: A machine learning approach. Journal of Cleaner Production, 118162. [ISI,  A Journal, Q1, IF=6.395].
  59. Ahani, A., Nilashi, M., Ibrahim, O., Sanzogni, L., & Weaven, S. (2019). Market segmentation and travel choice prediction in spa hotels through tripadvisor¡¯s online reviews. International Journal of Hospitality Management, 80, 52-77. [ISI,  A*  Journal, Q1, IF=4.465].
  60. Nilashi, M., Ahnai, A., Esfahani, M. D., Yadegaridehkordi, E., Samad, S., Ibrahim, O., & Akbari, E. (2019). Preference Learning for Eco-Friendly Hotels Recommendation: A Multi-Criteria Collaborative Filtering Approach. Journal of Cleaner Production. [ISI,  Q1, IF=6.395].
  61. Nilashi, M., Yadegaridehkordi, E., Ibrahim, O., Samad, S., Ahani, A., & Sanzogni, L. (2019) Analysis of Travellers¡¯ Online Reviews in Social Networking Sites Using Fuzzy Logic Approach. International Journal of Fuzzy Systems, 1-12. [ISI,  Q2, IF=3.085].
  62. Mardani, A., Van Fan, Y., Nilashi, M., Hooker, R. E., Ozkul, S., Streimikiene, D., & Loganathan, N. (2019). A two-stage methodology based on ensemble Adaptive Neuro-Fuzzy Inference System to predict carbon dioxide emissions. Journal of Cleaner Production, 231, 446-461. [ISI,  Q1, IF=6.395].
  63. Akbari, E., Mir, M., Vasiljeva, M. V., Alizadeh, A., & Nilashi, M. (2019). A Computational Model of Neural Learning to Predict Graphene Based ISFET. Journal of Electronic Materials, 48(7), 4647-4652. [ISI,  Q2, IF=1.676].
  64. Akbari, E., Moradi, R., Afroozeh, A., Alizadeh, A., & Nilashi, M. (2019). A new approach for prediction of graphene based ISFET using regression tree and neural network. Superlattices and Microstructures, 130, 241-248. [ISI,  Q1, IF=2.385].
  65. Asadi, S., Nilashi, M., Safaei, M., Abdullah, R., Saeed, F., Yadegaridehkordi, E., & Samad, S. (2019). Investigating factors influencing decision-makers¡¯ intention to adopt Green IT in Malaysian manufacturing industry. Resources, Conservation and Recycling, 148, 36-54. [ISI,  Q1, IF=7.044].
  66. Mardani, A., Hooker, R. E., Ozkul, S., Yifan, S., Nilashi, M., Sabzi, H. Z., & Fei, G. C. (2019). Application of Decision Making and Fuzzy Sets Theory to Evaluate the Healthcare and Medical Problems: A Review of Three Decades of Research with Recent Developments. Expert Systems with Applications. [ISI,  Q1, IF=4.292]
  67. Ali Ahani, Mehrbakhsh Nilashi, Elaheh Yadegaridehkordi, Louis Sanzogni, A. Rashid Tarik, Kathy Knox, Sarminah Samad, Othman Ibrahim, (2019), Revealing customers¡¯ satisfaction and preferences through online review analysis: The case of Canary Islands hotels. Journal of Retailing and Consumer Services,  [ISI,  Q1, IF=3.585].
  68. Akbari, E., Nilashi, M., & Buntat, Z. (2019). Analytical investigation of superior gas sensor based on phosphorene. Microsystem Technologies, 25(3), 897-903. [ISI,  IF=1.513].
  69. Ahani, A., Nilashi, M., Ibrahim, O., Sanzogni, L., & Weaven, S. (2019). Market segmentation and travel choice prediction in Spa hotels through TripAdvisor¡¯s online reviews. International Journal of Hospitality Management, 80, 52-77. [ISI,  Q1, IF=3.445].
  70. Nilashi, M., Ibrahim, O., Yadegaridehkordi, E., Samad, S., Akbari, E., & Alizadeh, A. (2018). Travelers Decision Making Using Online Review in Social Network Sites: A Case on TripAdvisor. Journal of Computational Science. [ISI,  IF=1.925].
  71. Nilashi, M., Cavallaro, F., Mardani, A., Zavadskas, E. K., Samad, S., & Ibrahim, O. (2018). Measuring Country Sustainability Performance Using Ensembles of Neuro-Fuzzy Technique. Sustainability, 10(8), 1-20. [ISI, IF=2.075].
  72. Yadegaridehkordi, E., Nilashi, M., Nasir, M. H. N. B. M., & Ibrahim, O. (2018). Predicting determinants of hotel success and development using Structural Equation Modelling (SEM)-ANFIS method. Tourism Management, 66, 364-386. [ISI, Q1, IF  4.707].
  73. Nilashi, M., Ibrahim, O., & Bagherifard, K. (2018). A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques. Expert Systems with Applications. [ISI,  Q1, IF  3.928].
  74. Akbari, E., Nilashi, M., Alizadeh, A., & Buntat, Z. (2018). Soft computing techniques in prediction gas sensor based 2D material. Organic Electronics. [ISI, Q1, IF  3.680].
  75. Mardani, A., Streimikiene, D., Nilashi, M., Arias Aranda, D., Loganathan, N., & Jusoh, A. (2018). Energy Consumption, Economic Growth, and CO2 Emissions in G20 Countries: Application of Adaptive Neuro-Fuzzy Inference System. Energies. [ISI,  IF 2.676].
  76. Yadegaridehkordi, E., Hourmand, M., Nilashi, M., Shuib, L., Ahani, A., & Ibrahim, O. (2018). Influence of big data adoption on manufacturing companies' performance: An integrated DEMATEL-ANFIS approach. Technological Forecasting and Social Change. [ISI, Q1, IF  3.129].
  77. Akbari, E., Nilashi, M., & Buntat, Z. (2018). Analytical investigation of superior gas sensor based on phosphorene. Microsystem Technologies. [ISI,  IF 1.581].
  78. Saeidi, P., Saeidi, S. P., Sofian, S., Saeidi, S. P., Nilashi, M., & Mardani, A. (2018). The Impact of Enterprise Risk Management on Competitive Advantage by Moderating Role of Information Technology. Computer Standards & Interfaces. [ISI,  IF  1.465].
  79. Dalvi-Esfahani, M., Wai Leong, L., Ibrahim, O., & Nilashi, M. (2018). Explaining Students¡¯ Continuance Intention to Use Mobile Web 2.0 Learning and Their Perceived Learning: An Integrated Approach. Journal of Educational Computing Research. [ISI,  IF  1.825].
  80. Mohammad Dalvi-Esfahani, Lam Wai Leong, Othman Ibrahim, Mehrbakhsh Nilashi, Explaining Students¡¯ Continuance Intention to Use Mobile Web 2.0 Learning and Their Perceived Learning: An Integrated Approach, Journal of Educational Computing Research, 2018, [ISI,  IF  1.234].
  81. Mahdiyar, A., Armaghani, D. J., Marto, A., Nilashi, M., & Ismail, S. (2018). Rock tensile strength prediction using empirical and soft computing approaches. Bulletin of Engineering Geology and the Environment. [ISI,  Q1, IF  1.234].
  82. Akbari, E., Nilashi, M., Alizadeh, A., & Buntat, Z. (2018). Soft computing techniques in prediction gas sensor based 2D material. Organic Electronics, 62, 181-188. [ISI, Q1, IF   3.680]
  83. Akbari, E., Nilashi, M., & Buntat, Z. (2018). Analytical investigation of superior gas sensor based on phosphorene. Microsystem Technologies, 1-7. [ISI,  IF   1.581]
  84. Barkadehi, M. H., Nilashi, M., Ibrahim, O., Fardi, A. Z., & Samad, S. (2018). Authentication Systems: A Literature Review and Classification. Telematics and Informatics. [ISI, Q1, IF= 3.398].
  85. Ahmadi, H., Arji, G., Shahmoradi, L., Safdari, R., Nilashi, M., & Alizadeh, M. (2018). The application of internet of things in healthcare: a systematic literature review and classification. Universal Access in the Information Society, 1-33. [ISI, IF  1.219]
  86. Ahmadi, H., Nilashi, M., Shahmoradi, L., Ibrahim, O., Sadoughi, F., Alizadeh, M., & Alizadeh, A. (2018). The moderating effect of hospital size on inter and intra-organizational factors of Hospital Information System adoption. Technological Forecasting and Social Change. [ISI, Q1, IF  3.129].
  87. Mardani, A., Streimikiene, D., Zavadskas, E. K., Cavalaro, F., Nilashi, M., Jusoh, A., & Zare, H. (2017). Application of Structural Equation Modeling (SEM) to Solve Environmental Sustainability Problems: A Comprehensive Review and Meta-Analysis. Sustainability, 9(10), 1814. [ISI, IF  1.789].
  88. Mardani, A., Nilashi, M., Zakuan, N., Loganathan, N., Soheilirad, S., Saman, M. Z. M., & Ibrahim, O. (2017). A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments. Applied Soft Computing. [ISI, Q1, IF 2.857].
  89. Rad, M. S., Nilashi, M., & Dahlan, H. M. (2017). Information technology adoption: a review of the literature and classification. Universal Access in the Information Society, 1-30.[ISI, IF=1.219].
  90. Mardani, A., Nilashi, M., Zavadskas, E. K., Awang, S. R., Zare, H., & Jamal, N. M. (2018). Decision Making Methods Based on Fuzzy Aggregation Operators: Three Decades Review From 1986 to 2017. International Journal of Information Technology & Decision Making, 1-76. [ISI, IF 1.664].
  91. Bagherifard, K. B., Rahmani, M., Nilashi, M., & Rafe, V. (2017). Performance Improvement for Recommender Systems Using Ontology. Telematics and Informatics. [ISI, Q1, IF 3.398].
  92. Khalilian, A. T., Ibrahim, O., & Nilashi, M. (2017). Integrated Feedback Control Reporting for Improving Quality of Technical Service Reporting in IT Service Management. Telematics and Informatics. [ISI, Q1, IF= 3.398].
  93. Nilashi, M., Ibrahim, O., & Ahani, A. (2017). Accuracy Improvement for Predicting Parkinson¡¯s Disease Progression. , Nature Publisher, Scientific Reports, 6. [Q1,  IF 5.228].
  94. Mehrbakhsh Nilashi, Othman bin Ibrahim, Hossein Ahmadi, Leila Shahmoradi, A Predictive Method for Hepatitis Disease Diagnosis Using Ensembles of Neuro-Fuzzy Technique. Journal of Infection and Public Health. [ISI,  IF  2.118].
  95. Nilashi, M., bin Ibrahim, O., Ahmadi, H., & Shahmoradi, L. (2017). An Analytical Method for Diseases Prediction Using Machine Learning Techniques. Computers & Chemical Engineering. 106, pp. 212-223. [ISI, Q1, IF= 3.024].
  96. Mardani, A., Nilashi, M., Antucheviciene, J., Tavana, M., Bausys, R., & Ibrahim, O. (2017). Recent fuzzy generalisations of rough sets theory: A systematic review and methodological critique of the literature. Complexity, 2017. [ISI, Q1, IF 3.514].
  97. Dalvi-Esfahani, M., Ramayah, T., & Nilashi, M. (2017). Modelling upper echelons¡¯ behavioural drivers of Green IT/IS adoption using an integrated Interpretive Structural Modelling¨CAnalytic Network Process approach. Telematics and Informatics, 34(2), 583-603. [Q1,  IF 3.398].
  98. Nilashi, M., Ibrahim, O., A (2017) Knowledge-Based System for Breast Cancer Classification Using Fuzzy Logic Method, Telematics and Informatics. [Q1,  IF 3.398].
  99. Salahshour Rad, M., Nilashi, M., Mohamed Dahlan, H., & Ibrahim, O. (2017). Academic researchers¡¯ behavioural intention to use academic social networking sites: A case of Malaysian research universities. Information Development, 0266666917741923. [ISI, IF  1.691].
  100. Nilashi, M., Dalvi-Esfahani, M., Ibrahim, O., Bagherifard, K., Mardani, A., & Zakuan, N. (2017). A soft computing method for the prediction of energy performance of residential buildings. Measurement, 109, 268-280. [ISI, Q2, IF 2.359].
  101. Ahmadi, H., Nilashi, M., Shahmoradi, L., & Ibrahim, O. (2017). Hospital Information System adoption: Expert perspectives on an adoption framework for Malaysian public hospitals. Computers in Human Behavior, 67, 161-189. [Q1,  IF 3.435].
  102. Soheilirad, S., Govindan, K., Mardani, A., Zavadskas, E. K., Nilashi, M., & Zakuan, N. (2017). Application of data envelopment analysis models in supply chain management: a systematic review and meta-analysis. Annals of Operations Research, 1-55. [ISI, IF 1.709].

Research Projects

  • Project Member: The Ministry of Higher Education Malaysia, PRGS, An Incremental Tourism (INCTOURISM) Software System based on Artificial Intelligent Approaches for Tourism Product Marketing in Malaysian Rural Areas
  • Project Member: The Ministry of Higher Education Malaysia, FRGS, Multi-Criteria Collaborative Filtering System Based on Incremental Support Vector Regression and Dimensionality Reduction Techniques
  • Project Member: The Ministry of Higher Education Malaysia, FRGS, A Framework for Decision-Making under Risk and Uncertainty for Supply Chain Performance in Electric Vehicle Manufacturing in Malaysia

Research Supervision

  • Graduated: Co-supervisor of  Ph.D Students at Universiti Teknologi Malaysia
  • Graduated: Co-supervisor of 10 Master Students at Universiti Teknologi Malaysia

Awards and Honours

  • The world's top 2% of scientists based on the ranikng of Stanford University in the United States, 2021.
  • Nomination of ¡°A hybrid intelligent system for the prediction of Parkinson's Disease progression using machine learning techniques¡± in Biocybernetics and Biomedical Engineering (Elsevier, Science Citation Index Expanded (SCIE)) for the ATLAS award, 2018.
  • Best PhD Student Award, Universiti Teknologi Malaysia, 2014.

Membership & Professional Activities

Editorial Board Member for

  • Applied Soft Computing (Elsevier; SCIE)
  • Electronic Commerce Research and Applications (Elsevier; SSCI)

 

Ad-Hoc Reviewer for

  • Applied Soft Computing (Elsevier; SCIE)
  • Electronic Commerce Research and Applications (Elsevier; SSCI)
  • International Journal of Environmental Science and Technology (Springer; SCIE)
  •  International Journal of Hospitality Management (Elsevier; SSCI)
  • Information Science (Elsevier; SCIE)
  • Healthcare Engineering (Hindawi; SCIE)
  • ICT Express (Elsevier; SCIE)
  • Computer Methods and Programs in Biomedicine (Elsevier; SCIE)
  • Knowledge-Based Systems (Elsevier; SCIE)
  • European Journal of Marketing (Emerald; SSCI)
  • International Journal of Machine Learning and Cybernetics (Springer; SCIE)
  • International Journal of Intelligent Systems (Wiley; SCIE)
  • Journal of Biomedical Informatics (Elsevier; SCIE)
  • Journal of the Association for Information Science and Technology (Wiley; SCIE)
  • Biomedical Signal Processing and Control (Elsevier; SCIE)
  • Telematics and Informatics (Elsevier; SSCI)
  • Wireless Communications and Mobile Computing (Wiley; SCIE)
  • BMC Medical Informatics and Decision Making (BMC; SCIE)
  • Computerized Medical Imaging and Graphics (Elsevier; SCIE)
  • Information Processing and Management (Elsevier; SCIE)
  • Journal of Retailing and Consumer Services (Elsevier; SSCI)
  • Expert Systems With Applications (Elsevier; SCIE)
  • Mobile Information Systems (Hindawi; SCIE)
  • Journal of Infection and Public Health (Elsevier; SCIE)
  • Arabian Journal for Science and Engineering (Springer; SCIE)
  • International Journal of Fuzzy Systems (Springer; SCIE)
  • Journal of Healthcare Engineering (Hindawi; SCIE)
  • Journal of Cleaner Production (Elsevier; SCIE)
  • Industrial Management & Data Systems (Emerald; SCIE)