Dr Farhaan Mirza

Lecturer

Phone: +64 9 921 9999 Ext 5868

Email: farhaan.mirza@aut.ac.nz

Physical Address:

School of Engineering, Computer and Mathematical Sciences
Department of IT and Software Engineering
AUT Tower (WT Bldg), Level 1, Room 134
2-14 Wakefield Street
Auckland



Postal Address:
Auckland University of Technology
School of Engineering, Computer and Mathematical Sciences
Private Bag 92006
Auckland 1142


Qualifications:

PhD in Information Systems, University of Auckland, 2015
Masters of Software Engineering (Honours), Massey University, 2007
Bachelors of Software Engineering (Honours), Massey University, 2005

Biography:

Both academic knowledge and industry experience contribute to my profile. For the past 15 years, I have been involved in research-driven commercial IT projects and academia – this exposure has provided me with the opportunities to practice my abilities across disciplines of research, software architecture & development, publishing, teaching, and industry collaboration. My career objective is to share my knowledge with enthusiasm, and further my research and development abilities to produce technology advancements that will make a difference to the quality of people’s lives. 

Teaching Areas:

Enterprise Systems
Software Engineering for Services
Research Methods

Publications:

Baig, M. M., GholamHosseini, H., Moqeem, A. A., Mirza, F., & LindÈn, M. (2017). A Systematic Review of Wearable Patient Monitoring Systems ñ Current Challenges and Opportunities for Clinical Adoption. Journal of Medical Systems, 41(7). doi:10.1007/s10916-017-0760-1


Ma, J., Nguyen, H., Mirza, F., & Neuland, O. (2017). Two Way Architecture Between IoT Sensors and Cloud Computing  for Remote Health Care Monitoring Applications. In 25th European Conference on Information Systems. Guimar„es, Portugal.


GholamHosseini, H., Baig, M., Meintjes, A., Mirza, F., & Linden, M. (2017). Smartphone-based blood pressure monitoring for falls risk assessment: techniques and technologies. In S. Longhi, A. Monteriu, & A. Freddi (Eds.), Human Monitoring, Smart Health and Assisted Living: Techniques and technologies (pp. 203-215). The United Kingdom: IET. doi:10.1049/PBHE009E_ch


Ghazala, A., Naeem, M., Mirza, F., & Jamil, N. (2017). Uncovering Useful Patterns in Shopping Cart Data. In IEEE 21th International Conference on Computer Supported Cooperative Work in Design (CSCWD). Wellington, New Zealand.


Wandabwa, H., Naeem, M., & Mirza, F. (2017). Document Level Semantic Comprehension of Noisy Text Streams via Convolutional Neural Networks. In IEEE 21th International Conference on Computer Supported Cooperative Work in Design (CSCWD). Wellington, New Zealand.


Nguyen, H., Mirza, F., Naeem, M., & Nguyen, M. (2017). A Review on IoT Healthcare Monitoring Applications and a Vision for Transforming Sensor Data into Real-time Clinical Feedback. In IEEE 21th International Conference on Computer Supported Cooperative Work in Design (CSCWD). Wellington, New Zealand: IEEE. Retrieved from http://cscwd17.sim.vuw.ac.nz/


Wandabwa, H., Naeem, M., & Mirza, F. (2017). Aspect of Blame in Tweets: A Deep Recurrent Neural Network Approach. In WWW '17 Companion Proceedings of the 26th International Conference on World Wide Web Companion. International World Wide Web Conferences Steering Committee Republic and Canton of Geneva, Switzerland.


Mirza, F., Mirza, A., Chung, C., & Sundaram, D. (2016). Sustainable, holistic, adaptable, real-time, and precise (SHARP) approach towards developing health and wellness systems. In R. Doss, S. Piramuthu, & W. Zhou (Eds.), Unknown Book (pp. 157-171). Retrieved from http://www.springer.com/gp/book/9783319480206


Gholamhosseini, H., Baig, M., Mirza, F., & Luo, D. (2016). Smartphone-based Continuous Blood Pressure Monitoring Application. In 2016 IEEE Region 10 Conference (TENCON) - Proceedings of the International Conference (pp. 2939-2942). doi:10.1109/TENCON.2016.7848583


Mirza, F. (2015). Agent-based Modeling for the Analysis of Technology Introduction and Competition in Telecommunication Markets. Case Studies of Fiber Optic Broadband and Wireless Markets.. (Doctoral Thesis, University of Auckland).


Mirza, F., & Beltran, F. (2014). Using an Agent-Based Approach for the Analysis of Competition Dynamics in a Mobile Service Market. In 36th Annual Pacific Telecommunications Conference (PTC). Honolulu.


Mirza, F., & Beltran, F. (2014). Consumer resistance factors for the adoption of FTTH ultra-fast broadband in New Zealand. Journal of Information Policy, 4, 128-143. doi:10.5325/jinfopoli.4.2014.0128


Beltran, F., & Mirza, F. (2014). An Agent-Based Model of Access Uptake on a High-Speed Broadband Platform. In Artificial Economics and Self Organization (pp. 219-231). Springer International Publishing. doi:10.1007/978-3-319-00912-4_17


Mirza, F., & Beltran, F. (2013). Using an agent-based friend circle creator model to analyze drivers of consumer choice: network effects vs. value proposition. In Proceedings of the 16th Communications & Networking Symposium (pp. 6). Society for Computer Simulation International.


Mirza, F., & Beltran, F. (2013). Modeling the access market of the two-sided ultra fast broadband platform in New Zealand. In Proceedings of the 16th Communications & Networking Symposium (pp. 2). San Diego: Society for Computer Simulation International.


Mirza, F. (2013). Mobile Health Opportunities in New Zealand: Perspectives of Health Planners and Practitioners. LAP LAMBERT Academic Publishing. Retrieved from https://www.amazon.com/Mobile-Health-Opportunities-Zealand-Practitioners/dp/3659430722/159-0452353-2262443


Mirza, F., & Beltran, F. (2013). Drivers and Barriers to the Uptake of a FTTH Ultra-Fast Broadband in New Zealand. In TPRC 41: The 41st Research Conference on Communication, Information and Internet Policy. Arlington.


Beltran, F., & Mirza, F. (2013). An agent-based model of access uptake on a high-speed broadband platform. In Dynamics of Social and Economic Networks, Proceedings of Artificial Economics. Klagenfurt.


Mirza, F., & Beltran, F. (2013). Agent Based Model of Service Providers and Consumers within a Dynamic Mobile Communications Market. In 20th International Congress on Modelling and Simulation (MODSIM). Adelaide: Modelling and Simulation Society of Australia and New Zealand (MSSANZ).


Mirza, F., & Beltran, F. (2012). Using Agent Based Analysis for Technological Standardization. In Universitas 21, Doctoral Research Conference in Business (U21 DRCB). Hartford.


Mirza, F., & Beltran, F. (2012). Using Agent Based Analysis for Technological Standardization. In 2nd New Zealand Information Systems Doctoral Conference (NZISDC).


Mirza, F., & Beltran, F. (2011). Technology Standardization Battles: An Agent Based Analysis. In 15th Pacific Asia Conference on Information Systems. Retrieved from http://aisel.aisnet.org/pacis2011/index.2.html


Mirza, F. (2010). The Battle for the Supremacy of Wireless Broadband Access (4G). In Inaugural New Zealand Information Systems Doctoral Conference (NZISDC).


Mirza, F. (2009). Supremacy of 4G Technology ñ WiMax or LTE. [Poster]. University of Auckland Business School PhD Conference.


Mirza, F., Norris, T., & Stockdale, R. (2008). Mobile technologies and the holistic management of chronic diseases. Health Informatics Journal, 14(4), 309-321. doi:10.1177/1460458208096559


Stockdale, R., Norris, T., & Mirza, F. (2008). Mobile Health and Chronic Disease Management: Moving Towards a Holistic Approach. In Proceedings of the Australasian Conference on Information Systems (ACIS) (pp. 34).


Mirza, F., & Norris, T. (2007). Opportunities and barriers for mobile health in New Zealand. In K. A. Kuhn, J. R. Warren, & T. -Y. Leong (Eds.), MEDINFO 2007, Proceedings of the 12th World Congress on Health (Medical) Informatics, Studies in health technology and informatics (Vol. 129, pp. 102). IOS Press; 1999.


Mirza, F., & Norris, T. (2007). Opportunities and barriers for mobile health in New Zealand. In Proceedings of the 12th World Congress on Medical Informatics Vol. 129.


Last updated: 14-Aug-2017 8.58am

The information on this page was correct at time of publication. For a comprehensive overview of AUT qualifications, please refer to the Academic Calendar.