Department of Software Engineering
Dr. Imran Mahmud  Professor & Head
Name :
Dr. Imran Mahmud
Designation
Professor & Head  
Department
Department of Software Engineering
Faculty
Faculty of Science and Information Technology
Personal Webpage
https://faculty.daffodilvarsity.edu.bd/profile/swe/imahmud.html
E-mail
imranmahmud@daffodilvarsity.edu.bd
Phone
+8809617901233, Ext-35100
Cell-Phone
+88 01847140117
  • PhD in Technology Management, Universiti Sains Malaysia, 2017
  • MSc in Software Engineering University of Hertfordshire, UK, 2009
  • BSc in Computer Science,BRAC University, Bangladesh, 2006

As trainer:

 

  • “AI for real estate industry” with Platinum Group, Bangladesh.
  • “AI for content development and research” with Rotaract Club of Daffodil International University, October 2026.
  • “AI for content development and academic research “ at Daffodil Institute of Information Technology, September, 2026
  • “AI training for Teaching and Academic Research”, by HRDI, Daffodil International University, September, 2026
  • “AI for Academic Research” with IEEE Robotics & Automation Society DIU Student Branch Chapter, August, 2026.
  • “Comprehensive training series for BAC Accreditation”, International Islamic University, Chittagong, August, 2026
  • “AI training for Education and Research” at Asia Pacific Summer Program and Asia Pacific Faculty Development Program, July 2026.
  • "AI for Academic Research" at Centre for Business and Management in Universiti Tunku Abdul Rahman, Malaysia, July 2026
  • “Masterclass on AI for Research Excellence”, United International University, June, 2026
  • “AI Master class for Research, Content Creation and BAC Accreditation”, Bangladesh Accreditation Council, May, 2026
  • “Virtual AI Camp 2.0”, International Office, Daffodil International University, March, 2026
  • “AI-Enabled Medical Education and Research: Tools and practical applications”, with Armed Force Medical College, January, 2026
  • “AI tools for Academic Research” by IQAC-BRU, Begum Rokeya University, November, 2025
  • “ Career in Academia” by BRAC University, August, 2025
  • “AI in Research”, organized by HRDI, Daffodil International University, January 2025
  • “Career as Software Engineer” , organzied by IIUC, December 2024
  • “Meta Analysis and "Elicit: AI Research Assistant”, organized by HRDI, Daffodil International University, July 2023.
  • “Project Pathway: Guiding towards graduation”, organized by Department of BBS, Daffodil International University. June, 2023.
  • “Research Methodology and Data Analysis”, organized by Department of ITM, Daffodil International University. March, 2023.
  • “Literature Review using AI' at the 'AI Tools for Academic Utilization” organized by Department of CSE, Daffodil International University. February, 2023.
  • “Technology Trends”, arranged by Daffodil International University, January
  • “Study and Career Continuation: PhD for Industry Professionals” organized by JCI Dhaka Heritage, Dhaka, Bangladesh, July, 2022.
  • “Hands- on: Business Analytics for Industry”, arranged by Multimedia University, Malaysia , June 2022.
  • “Data Visualization and Analytics Applying Power BI and BigML”, arranged by Lycean's Coalition of Computer Engineers in Philippines , March 2022.
  • “14 Days Professional IT Training for Health Professionals”, Directorate General of Medical Education, People’s Republic of Bangladesh., March 2022.
  • “From Model to Machine Learning: Artificial Neural Network in Business and Management ”, Graduate School of Business, Universiti Sains Malaysia, November 2021
  • "Shaping Career with Business Analytics, Data Science and Growing Technologies" in 1st International IT Educators’ Conference 2021 , October 2021
  • “Good Bad and Ugly Ways of Publications”,School of Teacher Education, Biliran Province State University, Philippines, August 2021
  • Impact of Data Analytics in Business .BINUS University, Indonesia, May 2021
  • Research Operationalisation and Questionnaire Development for Quantitative Research, Graduate School of Business, Universiti Sains Malaysia. July 2020.
  • 50 Shades of Literature Review Writing, Department of Innovation and Entrepreneurship, Daffodil International University. June 2020.
  • A Mixed Strategy for Online Teaching: Backward Design & Flipped Classroom, HRDI, Daffodil International University, May 2020
  • ISI/Scopus indexed publication: good, bad and ugly ways. Daffodil International University, April 2020
  • PLS path modelling with SmartPLS 0 for Business and Management Research. Daffodil International University, April 2020
  • Introduction to SPSS, Daffodil International University, March 2018

 

Training attended:

Title Organized by Date
BAC Accreditation Preparation FSIT, DIU 26 November 2023
Effective CO/PO Mapping FSIT, DIU 18 November 2023
Workshop on Writing Effective Course Outcomes (COs) FSIT, DIU 15 November 2023*
OBE Tracking Software IQAC, DIU 4 November 2023
Journey to Excellence: A Team Building Workshop for BAC Accreditation through Intent to Apply IQAC, DIU 9 August 2023
Discussion Session with BAC IQAC, DIU 16 May 2023
Guidelines for the Preparation of OBE Courses for Quality Education IQAC, DIU 18 February 2023
Workshop on Preparing the Questionnaire for the Self-Assessment Process for Accreditation IQAC, DIU 4 December 2022
Workshop on Readiness for Compliance with Bangladesh Accreditation Council (BAC) Requirements for Academic Programmes IQAC, DIU 21 November 2022
Delineating the Components of OBE HRDI, DIU 28 December 2021
AACSB Mentor Visit Accreditation Team, GSB, Universiti Sains Malaysia 5 November 2019
Workshop on Guidelines for Implementation of Improvement Plans and Self-Assessment (SA) Activities IQAC, DIU 7 March 2017

 

Software Engineering, Database Management System, Management Information System, Computer Architecture and Organization, Computer fundamentals and applications etc

Journals:

  1. Siam, A. A., Alazab, M., Obeidat, A., Faruqui, N., & Mahmud, I. (2026). An explainable and robust ensemble-based framework for malware detection. Peer-to-Peer Networking and Applications, 19(3), 81. Springer, IF: 3.2
  2. Ulfat, M. A. B., Begum, A., Al Mamun, M. A., Azam, S. N. A. E., Hassan, M. M., Mahmud, I., ... & Sayeed, M. S. (2026). Industrial LiFePO₄ battery management system dataset for early degradation analysis and remaining useful life prediction. Data in Brief, 113252. IF: 1.9
  3. Hasan, M. M., Rahman, M. A., Ali, M. M., Ahmed, K., Bui, F. M., Ibrahim, Mahmud, I. & Moni, M. A. (2026). Deep_TPPred: Improved prediction of protein toxicity using feature fusion and hybrid neural network approach. IEEE Transactions on Computational Biology and Bioinformatics. IEEE, IF: 4.1
  4. Rahman, M. A., Abdulrazak, L. F., Ali, M. M., Ahmed, K., Bui, F. M., Chen, L., Mahmud, I. & Moni, M. A. (2026). A novel stacking-based classifier for identifying antifreeze protein using latent semantic analysis. Intelligent Medicine, 6(01), 69-80. Elsevier, IF: 7.8
  5. Mahmud, I., Hossain, T., Mahmud, A., Akter, R., Rahman, S., & Begum, A. (2025). Predicting Fintech Adoption: Evidence from an Emerging Market. Vision, 09722629251352696. Publisher: Sage, IF: 3.1
  6. Mahmud, I., Wen, L. H., Fern, Y. S., Ling, T. C., & Ramayah, T. (2025). Science behind social media discontinuance: An integrated model of stress and coping theory. Information Development, 41(1), 4-23. Publisher: Sage, IF: 2.1
  7. Alam, S., Islam, K. A., Miah, R., Afrin, S., Islam, M. A., Hoque, M. R., & Mahmud, I. (2025). Key success factors of knowledge management systems for optimizing organizational performance: A PRISMA-based systematic literature review. Heliyon, 11(16). Publisher: Cell press, IF: 3.6
  8. Tuhin, I. A., Siam, A. F. K., Shanto, M. M. R., Mia, M. R., Mahmud, I., & Ghosh, A. (2025). An Interpretable Machine Learning Model for Dengue Detection with Clinical Hematological Data. Healthcare Analytics, 100430. Publisher: Elsevier, Cite score: 11.2
  9. Saha, R. M., Rafiq, F. B., Saha, P. K., & Mahmud, I. (2025). Dataset on occupational health conditions and safety practices among welders in Bangladesh. Data in Brief, 112151. Publisher: Elsevier, IF: 1.6
  10. Ahmed, K. R., Jahan, N., Masud, A., Tasnim, N., Sharmin, S., Mim, N. J., & Mahmud, I. (2025). BonoNet: a deep convolutional neural network for recognizing bangla compound characters. Int J Artif Intell, 14(5), 4171-4180.
  11. Jahan, N., Khalib, Z. I. A., Abou Elassad, Z. E., Mahmud, I., & Othman, R. R. (2025). A hybrid GA-ANN machine learning with novel DBSTLink data balancing approach for driving action detection: solution to road crash prediction. PeerJ Computer Science, 11, e3131. Publisher: Peerj IF: 2.5
  12. Boby, F. A., Ahmed, M., & Mahmud, I. (2025). Dataset of Harvard Step Test Results for Assessing Cardiovascular Fitness in Female Cricketers in Bangladesh. Data in Brief, 60, 111449. Publisher: Elsevier, IF: 1.6
  13. Rahman, A., Ai Ping, T., Mahmud, I., & Ramayah, T. (2025). Investigating the factors affecting the intention to separate e-waste among mobile phone repairers in an emerging economy: A hybrid structural equation modelling and artificial neural network approach. Waste Management & Research, 0734242X251330482. Publisher: Sage, IF: 4.3
  14. Hridoy, R. H., Habib, M. T., Mahmud, I., Haque, A., & Al Mamun, M. A. (2025). A comprehensive image dataset for accurate diagnosis of betel leaf diseases using artificial intelligence in plant pathology. Data in Brief, 111564. Publisher: Elsevier, IF: 1.6
  15. Bitto, A. K., Bijoy, M. H. I., Das, A., Ferdousi, J., Begum, A., & Mahmud, I. A Novel CatML Stacking Classifier Based Intelligent System for Predicting Postgraduate Admission Chances: A Study on Bangladesh. International Journal of Modern Education and Computer Science (IJMECS), 17(4).
  16. Bitto, A. K., Bijoy, M. H. I., Shakil, K. H., Das, A., Biplob, K. B. B., Mahmud, I., & Hossain, S. M. M. (2025). GastroEndoNet: Comprehensive endoscopy image dataset for GERD and polyp detection. Data in Brief, 60, 111572. Publisher: Elsevier, IF: 1.6
  17. Ali, R. A., Soliman, M., Weahama, M. R., Assalihee, M., & Mahmud, I. (2025). Investigating continuous intention to use metaverse in higher education institutions: a dual-staged structural equation modeling-artificial neural network approach. Smart Learning Environments, 12(1), 3. Publisher: Springer, IF: 12.1.
  18. Soliman, M., Ali, R. A., Khalid, J., Mahmud, I., & Ali, W. B. (2024). Modelling continuous intention to use generative artificial intelligence as an educational tool among university students: Findings from PLS-SEM and ANN. Journal of Computers in Education, 1-32. Publisher: Springer, IF: 4.7.
  19. Tuhin, I. A., Siam, A. F. K., Shanto, M. M. R., Mia, M. R., Mahmud, I., & Ghosh, A. (2025). An Interpretable Machine Learning Model for Dengue Detection with Clinical Hematological Data. Healthcare Analytics, 100430. Publisher: Elsevier, Cite Score: 11.2
  20. Rahman, M. A., Ali, M. M., Ahmed, K., Mahmud, I., Bui, F. M., Chen, L., & Moni, M. A. (2025). Deep3BPP: Identification of blood-brain barrier penetrating peptides using word embedding feature extraction method and CNN-LSTM. IEEE Transactions on Artificial Intelligence. Publisher: IEEE, Cite: 6.4
  21. Wong, C. T., Tan, C. L., & Mahmud, I. (2025). Value-based adoption model: a systematic literature review from 2007 to 2021. International Journal of Business Information Systems, 48(3), 304-331. Publisher: Inderscience Cite Score: 2.1
  22. Soliman, M., Ali, R. A., Mahmud, I., & Noipom, T. (2025). Unlocking AI-powered tools adoption among university students: a fuzzy-set approach. Journal of Information and Communication Technology (JICT), 24(1), 1-28.
  23. Raihan, F. R., Abdulrazak, L. F., Rahman, M. A., Ali, M. M., Ibrahim, S. M., Ahmed, K., ... & Mahmud, I. (2025). StackTHP: A stacking ensemble model for accurate prediction of tumor-homing peptides in cancer therapy. Computers in Biology and Medicine, 189, 109958. Publisher: Elsevier, IF: 6.3
  24. Mahmud, M. S., Paul, B. K., Hasan, M. R., Islam, K. T., Mahmud, I., & Mahmud, S. (2025). Computational network analysis of two popular skin cancers provides insights into the molecular mechanisms and reveals common therapeutic targets. Heliyon, 11(1). Publisher: Cell press, IF: 3.6
  25. Hridoy, R. H., Arni, A. D., Ghosh, S. K., Chakraborty, N. R., & Mahmud, I. (2024). Performance enhancement of machine learning algorithm for breast cancer diagnosis using hyperparameter optimization. International Journal of Electrical & Computer Engineering (2088-8708), 14(2).
  26. Rahman, M. A., Ali, M. M., Ahmed, K., Mahmud, I., Bui, F. M., Chen, L., ... & Moni, M. A. (2024). DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model. Results in Engineering, 24, 102878. Publisher: Elsevier, IF: 7.9
  27. Badruzzaman Biplob, K. B., Sammak, M. H., Bitto, A. K., & Mahmud, I. (2024). COVID-19 and Suicide Tendency: Prediction and Risk Factor Analysis Using Machine Learning and Explainable AI. EAI Endorsed Transactions on Pervasive Health & Technology, 10(1).
  28. Sweety, J. B., Mahmud, A., Mahmud, I., Hossain, A., & Saha, P. K. (2024). Solid waste separation among women in Dhaka households: An extended TPB perspective. Journal of Sustainability Science and Management, 19(12), 31–57.
  29. Hossain, T., Shamrat, F. J. M., Zhou, X., Mahmud, I., Mazumder, M. S. A., Sharmin, S., & Gururajan, R. (2024). Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis. PeerJ Computer Science, 10, e1950. Publisher: Peerj IF: 2.5
  30. Tuhin, I. A., Mia, M. R., Islam, M. M., Mahmud, I., Gongora, H. F., Rios, C. U., ... & Samad, M. A. (2024). StackIL10: A stacking ensemble model for the improved prediction of IL-10 inducing peptides. Plos one, 19(11), e0313835. Publisher: PLOS, IF: 2.6
  31. Bitto, A. K., Bijoy, M. H. I., Yesmin, S., Mahmud, I., Mia, M. J., & Badruzzaman Biplob, K. B. M. (2023). Tumor-Net: convolutional neural network modeling for classifying brain tumors from MRI images. International Journal of Advances in Intelligent Informatics, 9(2).
  32. Paula, L. P. O., Faruqui, N., Mahmud, I., Whaiduzzaman, M., Hawkinson, E. C., & Trivedi, S. (2023). A novel front door security (FDS) algorithm using GoogleNet-BiLSTM hybridization. IEEE Access, 11, 19122-19134. Publisher: IEEE, IF: 3.6
  33. Rahman, M. A., Abdulrazak, L. F., Ali, M. M., Mahmud, I., Ahmed, K., & Bui, F. M. (2023). Machine learning-based approach for predicting diabetes employing socio-demographic characteristics. Algorithms, 16(11), 503. Publisher: MDPI, IF: 2.1
  34. Rahman, S., Jahan, N., Sadia, F., & Mahmud, I. (2023). Social crisis detection using Twitter based text mining-a machine learning approach. Bulletin of Electrical Engineering and Informatics, 12(2), 1069-1077.
  35. Mahmud, I., Supramaniam, K., Jahan, N., Begum, A., & Masud, A. (2024). Dark side of mobile phone technology: assessing the impact of self-phubbing and partner-phubbing on life satisfaction. Interdisciplinary Journal of Information, Knowledge, and Management, 18, 893-914.
  36. Rahaman, A., Bitto, A. K., Biplob, K. B. M. B., Bijoy, M. H. I., Jahan, N., & Mahmud, I. (2023). Bitcoin trading indicator: a machine learning driven real time bitcoin trading indicator for the crypto market. Bulletin of Electrical Engineering and Informatics, 12(3), 1762-1772.
  37. Ali, M. M., Al-Doori, V. S., Mirzah, N., Hemu, A. A., Mahmud, I., Azam, S., ... & Moni, M. A. (2023). A machine learning approach for risk factors analysis and survival prediction of Heart Failure patients. Healthcare Analytics, 3, 100182. Publisher: Elsevier, Cite score: 11.2
  38. Bitto, A. K., Bijoy, M. H. I., Arman, M. S., Mahmud, I., Das, A., & Majumder, J. (2023). Sentiment analysis from Bangladeshi food delivery startup based on user reviews using machine learning and deep learning. Bulletin of Electrical Engineering and Informatics, 12(4), 2282-2291.
  39. Hossain, M. E., Faruqui, N., Mahmud, I., Jan, T., Whaiduzzaman, M., & Barros, A. (2023). DPMS: Data-driven promotional management system of universities using deep learning on social media. Applied Sciences, 13(22), 12300. Publisher: MDPI, IF: 2.5
  40. Thi, U. N., Van, M. H., Mahmud, I., & Thuy, L. V. T. (2023). Innovation and the sustainable competitive advantage of young firms: A strategy implementation approach. Sustainability, 15(13), 10555. Publisher: MDPI, IF: 3.3
  41. Faruqui, N., Kabir, M. A., Yousuf, M. A., Whaiduzzaman, M., Barros, A., & Mahmud, I. (2023). Trackez: an iot-based 3d-object tracking from 2d pixel matrix using mez and fsl algorithm. IEEE Access, 11, 61453-61467. Publisher: IEEE, IF: 3.6
  42. Imran, M. H., Mahi, R. B., Saha, R., Islam, M. H., & Mahmud, I. (2022). NISHASH: A reasonable cost-effective mechanical ventilator for COVID affected patients in Bangladesh. Heliyon, 8(5). Publisher: Cell press, IF: 3.6
  43. Rahman, A., Ai Ping, T., Mubeen, S. K., Mahmud, I., & Abbasi, G. A. (2022). What influences home gardeners’ food waste composting intention in high-rise buildings in Dhaka Megacity, Bangladesh? An integrated model of TPB and DMP. Sustainability, 14(15), 9400. Publisher: MDPI, IF: 3.3
  44. Molla, S., Shamrat, F. J. M., Rafi, R. I., Umaima, U., Arif, M. A. I., Hossain, S., & Mahmud, I. (2022). A predictive analysis framework of heart disease using machine learning approaches. Bulletin of Electrical Engineering and Informatics, 11(5), 2705-2716.
  45. Rahman, F., Mahmud, I., Jiang, B., & Sarker, K. (2022). Extending the theory of planned behavior: a case of learning Chinese as a third language. International Journal of Instruction, 15(1), 945-964.
  46. Shamrat, F. J. M., Chakraborty, S., Ahammad, R., Shitab, T. M., Kazi, M. A., Hossain, A., & Mahmud, I. (2022). Analysing most efficient deep learning model to detect COVID-19 from computer tomography images. Indonesian Journal of Electrical Engineering and Computer Science, 26(1), 462-471.
  47. Alam, S., Mahmud, I., Hoque, S. S., Akter, R., & Rana, S. S. (2022). Predicting students’ intention to continue business courses on online platforms during the Covid-19: An extended expectation confirmation theory. The International Journal of Management Education, 20(3), 100706. Publisher: Elsevier, IF: 7.4
  48. Bitto, A. K., Mahmud, I., Bijoy, M. H. I., Jannat, F. T., Arman, M. S., Shohug, M. M. H., & Jahan, H. (2022). CryptoAR: scrutinizing the trend and market of cryptocurrency using machine learning approach on time series data. Indonesian Journal of Electrical Engineering and Computer Science, 28(3), 1684-1696.
  49. Bitto, A. K., & Mahmud, I. (2022). Multi categorical of common eye disease detect using convolutional neural network: a transfer learning approach. Bulletin of Electrical Engineering and Informatics, 11(4), 2378-2387.
  50. Rahaman, E. U., Mahmud, I., Himel, A., Begum, A., & Jahan, N. (2022). Mathematical modelling of teachers’ intention to participate in online training during Covid-19 lockdown: evidence from emerging economy. International Journal of Emerging Technologies in Learning (iJET), 17(12), 170-183.
  51. Satter, A. Z., Mahmud, A., Rahman, A., Mahmud, I., & Akter, R. (2021). Civic engagement through restaurant review page in Facebook: a structural equation modelling approach. International Journal of Ethics and Systems, 37(2), 197-221. Publisher: Emerald, IF: 3.2
  52. Alzahrani, A., Mahmud, I., Thurasamy, R., Alfarraj, O., & Alwadain, A. (2021). End users' resistance behaviour paradigm in pre-deployment stage of ERP systems: evidence from Bangladeshi manufacturing industry. Business process management journal, 27(5), 1496-1521. Publisher: Emerald, IF: 5.4
  53. Hossain, M. E., Mahmud, I., & Idrus, R. M. (2021). Modelling end users’ continuance intention to use information systems in academic settings: Expectation-confirmation and stress perspective. Interdisciplinary Journal of Information, Knowledge, and Management, 16, 371-395.
  54. Jahan, N., Shawon, M. A. H., Sadia, F., Nitu, D. K., Ribon, M. E. K., & Mahmud, I. (2021). Modelling consumer’s intention to use IoT devices: role of technophilia. Indonesian Journal of Electrical Engineering and Computer Science, 23(1), 612-620.
  55. Vafaei-Zadeh, A., Ramayah, T., Hanifah, H., Kurnia, S., & Mahmud, I. (2020). Supply chain information integration and its impact on the operational performance of manufacturing firms in Malaysia. Information & Management, 57(8), 103386. Publisher: Elsevier, IF: 8.2
  56. Das, S. R., Mahmud, I., Ahmed, S., J-Ho, S. C., & Andalib, T. W. (2020). Fun or frustration: modelling discontinuance intention of social media users. International Journal of Electronic Commerce Studies, 11(2), 107-118.
  57. Shamrat, F. J. M., Mahmud, I., Rahman, A. S., Majumder, A., Tasnim, Z., & Nobel, N. I. (2020). A smart automated system model for vehicles detection to maintain traffic by image processing. International Journal of Scientific & Technology Research, 9(02), 2921-2928.
  58. Mia, M. R., Hossain, S. S., Toma, T. R., Mahmud, I., & Roy, J. (2020). Usability testing of tourism apps in Bangladesh. International Journal of Scientific and Technology Research, 9(4), 2793-2797.
  59. Arman, M. S., Akter, R., Mahmud, I., & Ramayah, T. (2020). Modelling turn away intention of information technology professionals in Bangladesh: a partial least squares approach. International Journal of Electrical and Computer Engineering, 10(5), 4973.
  60. Shamrat, F. J. M., Raihan, M. A., Rahman, A. S., Mahmud, I., & Akter, R. (2020). An analysis on breast disease prediction using machine learning approaches. International Journal of Scientific & Technology Research, 9(02), 2450-2455.
  61. Ramayah, T., Soto-Acosta, P., Kheng, K. K., & Mahmud, I. (2020). Developing process and product innovation through internal and external knowledge sources in manufacturing Malaysian firms: the role of absorptive capacity. Business Process Management Journal, 26(5), 1021-1039. Publisher: Emerald, IF: 5.4
  62. Shamrat, F. J. M., Tasnim, Z., Mahmud, I., Jahan, M. N., & Nobel, N. I. (2020). Application of k-means clustering algorithm to determine the density of demand of different kinds of jobs. International Journal of Scientific & Technology Research, 9(02), 2550-2557.
  63. Mahmud, I., Sultana, S., Rahman, A., Ramayah, T., & Cheng Ling, T. (2020). E-waste recycling intention paradigm of small and medium electronics store managers in Bangladesh: An S–O–R perspective. Waste Management & Research, 38(12), 1438-1449. Publisher: Sage, IF: 4.3
  64. Mahmud, I., Sadia, F., Rahman, M., Ahmed, S., & Islam, D. (2020). Web usability test in 60 seconds: a theoretical foundation and empirical test. Indonesian Journal of Electrical Engineering and Computer Science, 17(1), 398-403.
  65. Ahmad, N. H., Ramayah, T., Mahmud, I., Musa, M., & Anika, J. J. (2019). Entrepreneurship as a preferred career option: Modelling tourism students’ entrepreneurial intention. Education+ Training, 61(9), 1151-1169. Publisher: Emerald, IF: 3.2
  66. Alzahrani, A. I., Mahmud, I., Ramayah, T., Alfarraj, O., & Alalwan, N. (2019). Modelling digital library success using the DeLone and McLean information system success model. Journal of Librarianship and Information Science, 51(2), 291-306. Publisher: Sage, IF: 2.1
  67. Soliman, M. S. M., Karia, N., Moeinzadeh, S., Islam, M. S., & Mahmud, I. (2019). Modelling intention to use ERP systems among higher education institutions in Egypt: UTAUT perspective. International Journal of Supply Chain Management, 8(2), 429-440.
  68. Sadia, F., Mahmud, I., Dhar, E., Jahan, N., Hossain, S. S., & Satter, A. Z. (2019). Dataset on the influence of software development agility on software firms' performance in Bangladesh. Data in brief, 23, 103741. Publisher: Elsevier, IF: 1.6
  69. Toma, T. R., Mahmud, I., Hossain, M. E., Jahan, N., Ramayah, T., & Jayapal, P. (2018). To read or not to read: Modeling online newspaper reading satisfaction and its impact on revisit intention and word-of-mouth. Interdisciplinary Journal of Information, Knowledge, and Management, 13, 337.
  70. Alzahrani, A. I., Mahmud, I., Ramayah, T., Alfarraj, O., & Alalwan, N. (2017). Extending the theory of planned behavior (TPB) to explain online game playing among Malaysian undergraduate students. Telematics and Informatics, 34(4), 239-251. Publisher: Elsevier, IF: 8.3
  71. Mahmud, I., Ramayah, T., & Kurnia, S. (2017). To use or not to use: Modelling end user grumbling as user resistance in pre-implementation stage of enterprise resource planning system. Information Systems, 69, 164-179. Publisher: Elsevier, IF: 3.4
  72. Roy, P. K., Mahmud, I., Jahan, N., & Sadia, F. (2017). An investigation on exhaustion of SAP ERP users: influence of pace of change and technostress. Annals of Emerging Technologies in Computing (AETiC), Print ISSN, 2516-0281.
  73. Wong, W. P., Veneziano, V., & Mahmud, I. (2016). Usability of Enterprise Resource Planning software systems: an evaluative analysis of the use of SAP in the textile industry in Bangladesh. Information Development, 32(4), 1027-1041. Publisher: Sage, IF: 2.1
  74. Scholtz, B. M., Mahmud, I., & Ramayah, T. (2016). Does usability matter? An analysis of the impact of usability on technology acceptance in ERP settings. Interdisciplinary Journal of Information, Knowledge, and Management, 11, 309.
  75. Bhuiyan, T., Peng, W. W., & Mahmud, I. (2015). Measuring learning motivation of students in supply chain management games setting: a case study of Innov8. 0 game. Problems and perspectives in management, (13, Iss. 4), 92-101.

 

Conference

 

  1. Zannat, N., Shahriar, A., Molla, M. M. I., Tahsin, M. S., Mahmud, S., Mahmud, I., ... & Muchtar, F. B. (2024, August). Optimizing Predictive Maintenance: Introducing the SVM-TESA Model with Enhanced Data Analysis Techniques. In The International Conference on Recent Innovations in Computing (pp. 435-443). Singapore: Springer Nature Singapore.
  2. Fahim, R. A., Arman, M. S., Sultana, I., Tasnim, N., Ahmed, K. R., & Mahmud, I. (2024, November). PhishGuard: Leveraging NLP and Machine Learning for Email Phishing Detection. In 2024 International Conference on Big Data Analytics in Bioinformatics (DABCon)(pp. 01-06). IEEE.
  3. Bitto, A. K., Arman, M. S., Saha, R. M., Jahan, H., Mahmud, I., & Das, A. (2024, March). Customer Sentiments Towards Delivery Services in Bangladesh: A Machine Learning-Based Sentiment Analysis. In 2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS)(pp. 1-5). IEEE.
  4. Veneziano, V., & Mahmud, I. (2024, May). Employability skills in engineering: towards a broader redefinition of professional identities. In 2024 IEEE Global Engineering Education Conference (EDUCON)(pp. 1-6). IEEE.
  5. Lima, M., Ahmed, K. R., Jahan, N., Mahmud, I., Parvez, M. S., & Revathi, P. (2024, July). Deep Learning Based Approach For Detecting Student Engagement Through Facial Emotions. In 2024 International Conference on Data Science and Network Security (ICDSNS)(pp. 1-6). IEEE.
  6. Ferdous, K. H., Arman, M. S., Ahmed, K. R., Tasnim, N., Mahmud, I., & Revathi, P. (2024, July). Predicting Pre-Owned Bike Values with Machine Learning Techniques in Bangladesh. In 2024 International Conference on Data Science and Network Security (ICDSNS)(pp. 1-6). IEEE.
  7. Mazumder, M. S. A., Shamrat, F. J. M., Mahmud, I., Sharmin, S., Hossain, T., & Biplab, E. K. (2024, June). DRDnet22: Advanced convolutional techniques for early diabetic retinopathy detection in retinal images. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)(pp. 1-6). IEEE.
  8. Mahjabeen, A., Mia, M. R., Shariful, F. N. U., Faruqui, N., & Mahmud, I. (2023, May). Early prediction and analysis of dti and mri-based alzheimer’s disease through machine learning techniques. In Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering: TCCE 2022(pp. 3-13). Singapore: Springer Nature Singapore.
  9. Bitto, A. K., Bijoy, M. H. I., Khan, S., Mahmud, I., & Biplob, K. B. B. (2023, May). Approach of Different Classification Algorithms to Compare in N-gram Feature Between Bangla Good and Bad Text Discourses. In Machine Intelligence Techniques for Data Analysis and Signal Processing: Proceedings of the 4th International Conference MISP 2022, Volume 1(pp. 105-116). Singapore: Springer Nature Singapore.
  10. Loba, J., Mia, M. R., Mahmud, I., Mahi, M. J. N., Whaiduzzaman, M., & Ahmed, K. (2023, August). MRIAD: A Pre-clinical Prevalence Study on Alzheimer’s Disease Prediction Through Machine Learning Classifiers. In The International Conference on Deep Learning, Big Data and Blockchain(pp. 68-80). Cham: Springer Nature Switzerland.
  11. Islam, F., Arman, M. S., Jahan, N., Sammak, M. H., Tasnim, N., & Mahmud, I. (2022, October). Model and popularity based recommendation system-a collaborative filtering approach. In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)(pp. 1-5). IEEE.
  12. Sammak, M. H., Arman, M. S., Jahan, H., Mahmud, I., Alam, M. R., & Biplob, K. B. M. B. (2022, October). Classifying cardiovascular disease using gradient boosting method risk factor analysis using shapely additive explanations. In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)(pp. 1-5). IEEE.
  13. Jahan, H., Kowshir Bitto, A., Shohel Arman, M., Mahmud, I., Fahad Hossain, S., Moni Saha, R., & Shohug, M. M. H. (2022). Sentiment analysis of e-commerce consumer based on product delivery time using machine learning. In Machine Intelligence and Data Science Applications: Proceedings of MIDAS 2021(pp. 649-661). Singapore: Springer Nature Singapore.
  14. Das, S., Islam, M. S., & Mahmud, I. (2021, May). A deep learning study on understanding Banglish and abbreviated words used in social media. In 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS)(pp. 1690-1695). IEEE.
  15. Javed Mehedi Shamrat, F. M., Ghosh, P., Dipu Sultan, M., Majumder, A., & Mahmud, I. (2021). Software-Defined Networking with Multiple Routing Utilizing DFS to Improving QoS. In Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2020, Volume 3(pp. 475-484). Singapore: Springer Singapore.
  16. Juthi, J. H., Gomes, A., Bhuiyan, T., & Mahmud, I. (2019). Music emotion recognition with the extraction of audio features using machine learning approaches. In Proceedings of ICETIT 2019: Emerging Trends in Information Technology(pp. 318-329). Cham: Springer International Publishing.
  17. Hossain, M. E., Bhuiyan, T., Mahmud, I., Ramayah, T., & Scholtz, B. (2018, July). Role of absorptive capacity in predicting continuance intention to use digital libraries: an empirical study. In International Conference for Emerging Technologies in Computing(pp. 297-308). Cham: Springer International Publishing.
  18. Hossain, M. E., Bhuiyan, T., Mahmud, I., & Arman, M. S. (2018, July). Modelling the Knowledge Sharing Behaviour of Students on Facebook. In ICEL 2018 13th International Conference on e-Learning(p. 84). Academic Conferences and publishing limited.
  19. Haque, R., Mahmud, I., Hasan Sharif, M., Rayhan Kabir, S., Chowdhury, A., Akter, F., & Akhi, A. B. (2018, October). Modeling the role of C2C information quality on purchase decision in Facebook. In Conference on e-Business, e-Services and e-Society(pp. 244-254). Cham: Springer International Publishing.
  20. Hossain, R., & Mahmud, I. (2016, January). Influence of cognitive style on mobile payment system adoption: An extended technology acceptance model. In 2016 International Conference on Computer Communication and Informatics (ICCCI)(pp. 1-6). IEEE.
  21. Veneziano, V., Mahmud, I., Khatun, A., & Peng, W. W. (2014, December). Usability analysis of ERP software: Education and experience of users' as moderators. In The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014)(pp. 1-7). IEEE.
  22. Mahmud, I., & Veneziano, V. (2011, December). Mind-mapping: An effective technique to facilitate requirements engineering in agile software development. In 14th International Conference on Computer and Information Technology (ICCIT 2011)(pp. 157-162). IEEE.

 

Book, Book chapter and notable works:

 

  • Fayazunnesa Chowdhury, Imran Mahmud, “Artificial Intelligence in Modern Research: Tools, Techniques, Ethics and Applications” , 2026. Publisher: Pustok
  • Soliman, M., Ali Abdelwahed, R. A., Mahmud, I., Hayeemad, M., & Khalid, J. (2025). Ethical and Societal Considerations of AI in Business. Emerald.
  • Soliman, M., Ali, R. A., Khalid, J., Mahmud, I., & Assalihee, M. (2023). Modeling the continuous intention to use the metaverse as a learning platform: PLS-SEM and FsQCA approach. In Current and future trends on intelligent technology adoption: volume 1 (pp. 41-62). Cham: Springer Nature Switzerland.
  • Mahmud, I., Ramayah, T., Nayeem, M. M. H., Islam, S. M. M., & Gan, P. L. (2017). Modelling cyber-crime protection behaviour among computer users in the context of Bangladesh. In Design solutions for user-centric information systems (pp. 253–273). IGI Global.
  • Thongpoon, S., Ahmad, N. H., & Mahmud, I. (2017). Sustainable approach towards Thai SMEs: The effects of country philosophy of sufficiency economy and government support. In Handbook of research on small and medium enterprises in developing countries (pp. 1–22). IGI Global.\
  • Gan, P. L., Mahmud, I., Ramayah, T., & Zuhora, F. T. (2017). Understanding attitude towards green IT among professionals in IT service SMEs in Bangladesh. In Handbook of research on small and medium enterprises in developing countries (pp. 48–66). IGI Global.

 

Other published works

 

  • Research Report: A Comprehensive study on the positive effects of Installing Prepaid Gas Meters in Dhaka Metropolitan Area. By JICA and Titas Gas, 2024
  • Training Manual: Training for Professional and Personal Skill Development of Health Personnel in the Area of Computer, Ministry of Health and Family Welfare, 2022.
  • Editor: Cheng Ling T., Mahmud, I. (2021) ,Emerging Research in Innovation and Operations Management: A Systematic Meta Analytic Approach". Publisher: Universiti Malaysia Perlis

2015 October – 2016 January:
Graduate research assistant
Topic: Manager’s perception on green information system (IS) adoption and environmental performance in Malaysia SMEs: A field survey
Project Leader: Professor. RamayahThurasamy

2015 (April- September)
Graduate research assistant
Topic: Surfing not studying: Internet addiction, is it a disruptive and emerging clinical phenomenon among undergraduates
Project Leader: Professor. RamayahThurasamy

2014 (April - September):
Graduate research assistant
Topic: Towards a successful implementation of Business Process Management for sustainable organization performance
Project Leader: Dr. Wong Wai Peng

Research Grants

Year Title Funding organization Amount in BDT
2025 AI based solution for Multi-Cancer Diagnosis using Image Data in Low-income Countries Ministry of Science and Technology 4,00,000
2024 Factors Influencing Teachers' Resistance to Outcome-Based Education Practices: A Case Study on Daffodil International University,Bangladesh Bangladesh Accreditation Council(BAC) 3,00,000
2023 Hiya App ICT Ministry 50,000
2022 Luminaries Survey App Luminaries 2,50,000
2021 Online Doctor’s Chamber ICDDRB 4,50,000

 

  • “Best Researcher 2025” in Faculty of Science and Information Technology, Daffodil International University
  • Champion under category Project of the Year- Academic Research in Bangladesh Project Management Symposium & Excellence Awards 2023 by PMI Bangladesh Chapter.
  • Champion under category Project of the Year- Academic Research in Bangladesh Project Management Symposium & Excellence Awards 2021 by PMI Bangladesh Chapter.
  • “Special Researcher Award 2020”, Daffodil International University
  • “Young Researcher Award , 2019”, The award is associated with Vendant college of engineering and technology, India and Kasetsart University, Thailand.
  • “Persada Kencana: Publication Award 2018”, Universiti Sains Malaysia
  • “Young Scientist Award” in the field of Management, 2018 by Venus International Foundation, India
  • “Research award for scholarly publication in indexed journal, 2018” from Daffodil International University.
  • “Sanggar Sanjung”/ “Hall of Fame” award winner for publication from Universiti Sains Malaysia in 2017.
  • “Excellence in Scholarly Publication Award 2012” by IUBAT
  1. Intellectbase International Consortium, NJ,USA
  2. International Association of Computer Science and Information Technology(IACSIT)

2018-2019:

Universiti Sains Malaysia
Position: Senior Lecturer, Graduate School of Business

 

Institute Technology Bandung, Indonesia
Position: Visiting Lecturer, School of Business and Management

 

Hong Kong Management Association
Position: Visiting Lecturer, GSB PhD Program

 

2010- 2012

IUBAT- international University of Business Agriculture and technology
Position: Faculty, Department of Computer Science and Engineering

 

2009- 2010

BSGS College, UK
Position: Lecturer of IMIS(Institute of Management Information System)

 

2007-2008

Soft Ed Limited
Position: Software Engineer and Research Associate

 

2006-2007

Focus Technologies
Position: System Analyst