My vision in research focuses on creating new-to-the-world artefacts that help organisations in adopting IT initiatives to tackle problems. My research outcome can be in the form of methodological approaches, frameworks, conceptual models, and software tools. From a research methodology perspective, I embrace the value of methodological pluralism and I utilize both quantitative approaches (e.g., surveys, and social network analysis) and qualitative approaches (e.g., interpretive case study, interview, and domain expert review). To continue on with my philosophy of methodological pluralism, I have subscribed to apply multi-method studies in design science research. My research outcomes which lie at the intersection of cloud computing, data analytics, IoT, and blockchain technologies have been published in leading Information Systems and Software Engineering disciplines some of them in ERA A*/A ranked venues. I have developed my experience in academic research and teaching with demonstrated ability to work both independently and as an integral part of a team.
In terms of teaching experience, I have been serving as a lecturer and tutor at University of Technology Sydney (UTS), University of New South Wales (UNSW), Western Sydney University, and Sydney-based international colleges since March 2016. I believe that teaching in IT is crucial for young students as it will build a foundation for their future career and research, i.e. the next generation of IT professionals and academia.
My short-term goals are to (i) aid aiding master/PhD students as well as junior academic staff to publish their research in leading quality conferences/journals (ii) get grants from the industry to support innovative research, and (iii) enable interdisciplinary research foundations. My long-term goal is to build an internationally recognised research and teaching profile and to be an academic role model.
Design science research, cloud computing, big data analytics, IoT/Smart city architecture, model-driven software development, situational method engineering
- Design and Innovation Fundamentals (48240)
- Database Fundamentals (31271)
- Introduction to Information Systems (31266)
- Information System Development Methodologies (31257)
Fahmideh, M & Lammers, T 2018, 'A study of influential factors in designing self-reconfigurable robots for green manufacturing', ACIS Website proceedings, Australasian Conference on Information Systems, ACIS, Sydney, pp. 1-7.View/Download from: UTS OPUS
There is incremental growth in adopting self-reconfigurable robots in automating manufacturing conventional product lines. Using this class of robots adapting themselves with ever-changing environmental conditions has been acclaimed as a promising way of reducing energy consumption and environmental impact and thus enabling green manufacturing. Whilst the majority of existing research focuses on highlighting the efficacy of self-reconfigurable robots in energy reduction with technical driven solutions, the research on exploring the salient factors in design and development self-reconfigurable robots that directly enable or hinder green manufacturing is non-extant. This interdisciplinary research contributes to the nascent body of the knowledge by empirical investigation of design-time, run-time, and hardware aspects which should be contingently balanced when developing green-aware self-reconfigurable robots.