Dr. Khandoker Mahmudur Rahman

Professor , School of Business & Economics (SoBE)

ROOM: 333/C

PABX: 5130

Email: khandoker@bus.uiu.ac.bd

Education

PhD in Consumer & Market Analysis, Universiti Utara Malaysia (AACSB accredited)

Master of Science in EconomicsTexas A&M University, College Station, Texas, USA

Master of Business Administration in MarketingInstitute of Business Administration, University of Dhaka

Bachelor of Commerce, Under University of Dhaka

Awards and Honors

International Best of Regions Award, ACBSP Conference, 2020, Chicago, USA.

Post-Graduate Research Fellowship, PhD program, Universiti Utara Malaysia

Best Paper Award, 7th Global Business Research Conference, 2017, Dhaka, Bangladesh, organized by Global Research Institute for Business Academics, Australia.

Best Paper Award, 14th Asian Business Research Conference, 2016, Dhaka, Bangladesh, organized by World Business Institute, Australia.

Best Paper Award, 4th Asian Business Research Conference, 2010, Dhaka,  Bangladesh, organized by World Business Institute, Australia.

Best Paper Award, Asian Network for Quality (ANQ) Congress, 2010, Delhi, India.

Erasmus Mundus Program, Université Lumière Lyon 2, 2010, France.

Major Courses

Brand Management, Consumer Behavior

Research & Publications

Journal Articles/Book chapters:

  • Mashrur, F. R., Rahman, K. M., Miya, M. T. I., Vaidyanathan, R., Anwar, S. F., Sarker, F., & Mamun, K. A. (2022). An intelligent neuromarketing system for predicting consumers’ future choice from electroencephalography signals. Physiology & Behavior253, 113847.
  • Mashrur, F. R., Rahman, K. M., Miya, M. T. I., Vaidyanathan, R., Anwar, S. F., Sarker, F., & Mamun, K. A. (2022). BCI-based consumers’ choice prediction from EEG signals: An intelligent neuromarketing framework. Frontiers in human neuroscience16, 861270.
  • Rawnaque, F. S., Rahman, K. M., Anwar, S. F., Vaidyanathan, R., Chau, T., Sarker, F., & Mamun, K. A. A. (2020). Technological advancements and opportunities in Neuromarketing: a systematic review. Brain Informatics7, 1-19.
  • Ahmmed, K., Islam, S., Noor, N. A. M., Rahman, K. M., & Ahmed, F. (2019). Toward a theoretical framework of relationship marketing in the business context. Trziste= Market31(2), 209-226.
  • Rahman, K. M. (2016). Packaging. In Strategic Marketing Management in Asia (pp. 261-293). Emerald Group Publishing Limited.
  • Rahman, K. M. (2016). Strategic Planning and Marketing Models. In Strategic Marketing Management in Asia (pp. 59-110). Emerald Group Publishing Limited.
  • Rahman, K. M., & Noor, N. A. M. (2016). In search of a model explaining organic food purchase behavior: The overlooked story of Montano and Kasprzyk’s integrated behavior model. British Food Journal118(12), 2911-2930.
  • Mohd Noor, N. A., & Mahmudur Rahman, K. (2016). Exploring the impact of use and non-use value on behavioral intention to purchase organic foods: evidence from a developing country’s context. Sains Humanika8(4-2), 61-65.
  • Rahman, K. M., & Mohd Noor, N. A. (2016). Evaluating gaps in consumer behavior research on organic foods: a critical literature review under Bangladesh context. Journal of Marketing and Consumer Behaviour in Emerging Markets, (1 (3)), 42-50.
  • Rahman, K. M., & Haque, M. (2011). Exploring price sensitivity of a green brand: a consumers’ perspective. World Review of Business Research1(2), 84-97.
  • Rahman, K. M. Application of Kansei Engineering in Internal Branding.
  • Dholakia, R. R., & Anwar, S. F. (Eds.). (2009). Marketing practices in developing economy: cases from South Asia. Prentice Hall, India.

Conference Papers:

  • Mashrur, F. R., Rahman, Khandoker M., Miya, M. T. I., Vaidyanathan, R., Anwar, S. F., Sarker, F., & Mamun, K. A. (2023). An EEG-based Intelligent Neuromarketing System for Predicting Consumers’ Choice. In The Fourth Industrial Revolution and Beyond: Select Proceedings of IC4IR+ (pp. 31-43). Singapore: Springer Nature Singapore.
  • F. Ishtiaque et al., “AI-based Consumers’ Preference Prediction Using a Research-grade BCI and a Commercial-grade BCI for Neuromarketing: A Systematic Comparison,” 2023 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2023, pp. 1-6, doi: 10.1109/ECCE57851.2023.10101563.
  • F. Ishtiaque et al., “BCI-based Consumers’ Preference Prediction using Single Channel Commercial EEG Device,” 2022 25th International Conference on Computer and Information Technology (ICCIT), Cox’s Bazar, Bangladesh, 2022, pp. 43-48, doi: 10.1109/ICCIT57492.2022.10054806.
  • Biswas, A., Mashrur, F. R., Rahman, K. M., Miya, M. T. I., Sarker, F., & Mamun, K. A. (2022, March). An overview of neuromarketing research in developing countries: Prospects and challenges. In Proceedings of the 2nd International Conference on Computing Advancements (pp. 149-155).
  • Mashrur, F. R., Miya, M. T. I., Rawnaque, F. S., Rahman, K. M., Vaidyanathan, R., Anwar, S. F., … & Mamun, K. A. (2021, November). MarketBrain: An EEG based intelligent consumer preference prediction system. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 808-811). IEEE.
  • Rummana, R., Rahman, K. M., Aziz, S., & Nishat, B. (2008, October). Urban pollution in Dhaka city: A tri-partite qualitative model for alleviation and prevention. In Proceedings: International Conference on Sustainable Urban Environmental Practices (p. 297).