Mohammad Tafiqur Rahman

Førsteamanuensis
USN Handelshøyskolen
Institutt for økonomi, markedsføring og jus
Campus Ringerike (A 310)
Mohammad Tafiqur Rahman is an Associate Professor of Information Systems (IS) at the Department of Business, Marketing, and Law, University of South-Eastern Norway (USN). He received his Ph.D. in IS from the University of Agder (UiA) in 2021. He holds a solid background in the field of computing. His M.Sc. degree was awarded by KTH-Royal Institute of Technology in Software Engineering of Distributed Systems (majoring in ICT) and BS degree by North South University in Computer Engineering. In his Ph.D. thesis, Rahman focused on modeling a decision support system for operational decision-making in humanitarian logistics. The resulted system should assist decision-makers with rapidly analyze situations to make effective, efficient, and equitable decisions for humanitarian relief distribution despite lacking, conflicting, and uncertain information. For his empirical study, he exploited the mixed-methods modified e-Delphi technique that included multiple rounds of surveys and interviews. Thus, he incorporated social actors into the technological systems for generating smart solutions to the decision-making problems in humanitarian relief distribution. He used the semantic web concept in his M.Sc. thesis to provide in-depth insight on the hidden properties of the repository to app developers or app market contributors. To do so, he developed an automated system that utilized different data mining, web mining, and machine learning techniques to collect, analyze, and present required data. He is methodologically sound in using both qualitative and quantitative methods in research. Rahman is always fascinated by research to solve different challenges in practical workflows. He has already published research articles in different reputed IS-related conferences and journals that include Intl. Conference on Information Systems Development (ISD), Intl. Conference on Information Systems for Crisis Response and Management in Mediterranean Countries (ISCRAM-med), Intl. Journal of Information Systems for Crisis Response and Management (IJISCRAM), Intl. Journal of Emergency Management (IJEM), Intl. Conference on Web Information Systems and Technologies (WEBIST), Intl. Conference on Computing and Information Technology (ICCIT). Rahman’s article at ISD 2019 conference was recognized as one of the conference’s best papers, whereas his Ph.D. thesis was nominated for the Best Doctoral Thesis Award 2021from the HUMLOG Institute, Hanken School of Economics. His research interests mainly include information systems, software engineering, decision support systems, and humanitarian logistics. At USN, Rahman supports the Business school’s IT and Information Systems study program, where he teaches (WEB1100) Web Development and HCI and (APP2000) Web Application Development courses. He taught (IS104) Digital Interaction Design and (IS213) Open-source Software courses and supervised bachelor projects previously at UiA.

Ansvarsområder

Teaching bachelor courses in IS: 

  • WEB1100: Web Development and HCI
  • APP2000: Web Application Development

Kompetanse

Research Interests:

  • Information Systems
  • Software Engineering
  • Decision Support Systems
  • Humanitarian Logistics
  • Rapid Disaster Response

CV

Education:

  • 2016-2021: Ph.D. in Information Systems, University of Agder, Kristiansand, Norway
  • 2010-2013: M.Sc. in Software Engineering of Distributed Systems, KTH-Royal Institute of Technology, Stockholm, Sweden
  • 2004-2008: B.S. in Computer Engineering, North South University, Dhaka, Bangladesh

Work Experiences:

  • 2021-Continue: Associate Professor of IS, Department of Business, Marketing and Law, University of South-Eastern Norway, Ringerike Campus
  • 2019-2020: Assistant Professor of IS, Department of IS, University of Agder, Kristiansand Campus, Norway
  • 2016-2019: Ph.D. Research Fellow IS, Department of IS, University of Agder, Kristiansand Campus, Norway
  • 2014-2016: Fulltime Lecturer, Department of CSE, Daffodil Intl. University, Dhaka, Bangladesh

Publikasjoner

Rahman, M.T. (2023). Blended Approach for Deep Learning: A Framework for Teaching Undergraduate Computer Programming Courses. In Jovanovic, Jelena; Chounta, Irene-Angelica; Uhomoibhi, James & McLaren, Bruce M. Proceedings of the 15th International Conference on Computer Supported Education, CSEDU 2023. SciTePress. DOI: 10.5220/0000173200003470

Rahman, M.T., Majchrzak, T.A. & Sein, M.K. (2022). Making decisions for effective humanitarian actions: a conceptual framework for relief distribution. Int J Humanitarian Action 7, 24. https://doi.org/10.1186/s41018-022-00132-z

Rahman, M. T. (2020). Supporting Humanitarian Relief Distribution Decision-Making under Deep Uncertainty: A System Design Approach (Doctoral thesis). University of Agder, Kristiansand.

Rahman, M.T., & Majchrzak, T.A. (2020). Requirements for Relief Distribution Decision Support in Humanitarian Logistics. In: A. Siarheyeva et al. (eds.), Advances in Information Systems Development. ISD 2019Lecture Notes in Information Systems and Organisation, 39, (pp. 93-112), Springer, Cham. DOI: 10.1007/978-3-030-49644-9_6

Rahman, M.T. & Majchrzak, T.A. (2019). Assessing Requirements for Decision Support Systems in Humanitarian Operations. In A. Siarheyeva, A. Laville, G. Perocheau, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.) Proceedings of the 28th International Conference on Information Systems Development, Toulon, France: ISEN.

Rahman, M.T., Majchrzak, T.A., & Comes, T. (2019). Deep uncertainty in humanitarian logistics operations: decision-making challenges in responding to large-scale natural disasters. Int. J. Emergency Management, Vol. 15, No. 3, pp. 276-297. DOI: 10.1504/IJEM.2019.10023857

Rahman, M.T. (2018). Pragmatism in Decision Support System Research: The Context of Humanitarian Relief Distribution. International Journal of Information Systems for Crisis Response and Management (IJISCRAM)10(3), pp.63-83. DOI: 10.4018/IJISCRAM.2018070104

Rahman, M. T., Comes, T., & Majchrzak, T. A. (2017). Understanding Decision Support in Large-scale Disasters: Challenges in Humanitarian Logistics Distribution. In Dokas, M.I., Saoud, N.B., Dugdale, J., & Diaz, P. (Eds.), Proceedings of the International Conference on Information Systems for Crisis Response And Management in Mediterranean Countries (pp. 106-121), Xanthi, Cham: Springer. DOI:10.1007/978-3-319-67633-3_9

Mokarizadeh, S., Rahman, M. T., & Matskin, M. (2013). Mining and Analysis of Apps in Google Play. In Karl-Heinz Krempels, Alexander Stocker (Eds.), Proceedings of the 9th International Conference on Web Information Systems and Technologies (pp.527-535), Aachen, DE: SciTePress.

Rahman, M. T., Faisal, F., Sohul, M.M, & Ahmed, F. (2009). Control of the Speed of a DC Motor by Employing Pulse Width Modulation (PWM) Technique. In Proceedings of the 12th International Conference on Computer and Information Technology (pp. 297-302), Dhaka, BD: IEEE.