Farhaan Mirza

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Senior Lecturer

Email: farhaan.mirza@aut.ac.nz

ORCID: ORCID logo https://orcid.org/0000-0001-7684-9973

Links to relevant web pages:

Academic appointments:

  • Lecturer, Unitec (2008 - 2009)
  • Lecturer & Researcher, University of Auckland Business School (2008 - 2014)
  • Lecturer, Auckland University of Technology (2016 - ongoing)

Qualifications:

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

Overview:

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 and 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.

Professional activities:

Appointment, affiliation, and membership

  • Senior Lecturer, Auckland University of Technology (2017 - ongoing)
  • Lecturer, Auckland University of Technology (2016 - 2017)
  • Lecturer and Tutor, University of Auckland (2009 - 2014)
  • Lecturer in IT, Unitec (2008 - 2009)
  • Business Analyst and Health Technology Architect, Medtech Global Ltd (2007 - 2009)
  • Co-Founder & Principal Consultant, Mirza Bros Ltd (2007 - 2016)
  • Quality Assurance Engineer, The Hyperfactory Ltd (2004 - 2006)

    Research outputs:

    Books

    • 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/

    Journal articles

    • Baig, M., Hua, N., Zhang, E., Robinson, R., Armstrong, D., Whittaker, R., . . . Ullah, E. (2019). Predicting patients at risk of 30-day unplanned hospital readmission. Studies in Health Technology and Informatics, 266, 20-24. doi:10.3233/SHTI190767

    • Baig, M. M., Afifi, S., GholamHosseini, H., & Mirza, F. (2019). A Systematic Review of Wearable Sensors and IoT-Based Monitoring Applications for Older Adults – a Focus on Ageing Population and Independent Living. Journal of Medical Systems, 43(8). doi:10.1007/s10916-019-1365-7

    • Junqueira, A. R. B., Mirza, F., & Baig, M. M. (2019). A machine learning model for predicting ICU readmissions and key risk factors: analysis from a longitudinal health records. Health and Technology, 9(3), 297-309. doi:10.1007/s12553-019-00329-0

    • Jia, X., Baig, M. M., Mirza, F., & GholamHosseini, H. (2019). A Cox-Based Risk Prediction Model for Early Detection of Cardiovascular Disease: Identification of Key Risk Factors for the Development of a 10-Year CVD Risk Prediction. Advances in Preventive Medicine, 2019. doi:10.1155/2019/8392348

    • Nguyen, H., Mirza, F., Naeem, M. A., & Baig, M. M. (2018). Falls management framework for supporting an independent lifestyle for older adults: a systematic review. Aging Clinical and Experimental Research, 30(11). doi:10.1007/s40520-018-1026-6

    • Moqeem, A., Baig, M., Gholamhosseini, H., & Mirza, F. (2018). Mobile Health Application Framework for an Ideal User Experience: A User-Centered Design Approach for Clinicians. Trends in Telemedicine & E-health, 1(3). Retrieved from https://crimsonpublishers.com/tteh/pdf/TTEH.000511.pdf

    • Koli, N. V., Mirza, F., Baig, M., & Ullah, E. (2018). An Agent-Based Modelling Approach for Scheduling and Management of Elective Surgeries. SM Journal of Health And Medical Informatics, 2(1). Retrieved from https://smjournals.com/

    • Ubaid, A., Mirza, F., Baig, M., & Gholamhosseini, H. (2018). Identifying the relationship between unstable vital signs and intensive care unit (ICU) readmissions: an analysis of 10-year of hospital ICU readmissions. Health and Technology, 8(1), 77-85. doi:10.1007/s12553-018-0255-1

    • Wandabwa, H., Naeem, M. A., Pears, R., & Mirza, F. (2018). A Metamodel Enabled Approach for Discovery of Coherent Topics in Short Text Microblogs. IEEE Access, 6. doi:10.1109/ACCESS.2018.2878441

    • Liu, W., Mirza, F., Narayanan, A., & Souligna, S. (2018). Is it possible to cure Internet addiction with the Internet?. AI and Society. doi:10.1007/s00146-018-0858-0

    • Moqeem, A., Baig, M., Gholamhosseini, H., Mirza, F., & Linden, M. (2018). Medical device integrated vital signs monitoring application with real-time clinical decision support. Studies in Health Technology and Informatics, 249. doi:10.3233/978-1-61499-868-6-189

    • Jamil, N., Mirza, F., Naeem, M. A., & Baghaei, N. (2018). A refinement of an iterative orthogonal projection method. Journal of Computational and Applied Mathematics, 341. doi:10.1016/j.cam.2018.02.025

    • Baig, M. M., GholamHosseini, H., Moqeem, A. A., Mirza, F., & Lindén, M. (2017). Clinical decision support systems in hospital care using ubiquitous devices: Current issues and challenges. Health Informatics Journal. doi:10.1177/1460458217740722

    • Baig, M. M., GholamHosseini, H., Moqeem, A. A., Mirza, F., & Lindén, M. (2017). A systematic review of wearable patient monitoring systems: Current challenges and opportunities for clinical adoption. Journal of Medical Systems, 41. doi:10.1007/s10916-017-0760-1

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

    • 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

    Book chapters

    • Chanane, N., Mirza, F., Naeem, M. A., & Mirza, A. (2017). Acceptance of technology-driven interventions for improving medication adherence. In Unknown Book (Vol. 759, pp. 188-198). doi:10.1007/978-3-319-65548-2_15

    • GholamHosseini, H., Baig, M. M., Meintjes, A., Mirza, F., & Lindén, M. (2017). Smartphone-based blood pressure monitoring for falls risk assessment: Techniques and technologies. In S. Longhi, A. Monteriù, & A. Freddi (Eds.), Human monitoring, smart health and assisted living: Techniques and technologies (pp. 203-215). London, United Kingdom: The Institution of Engineering and Technology. Retrieved from http://www.theiet.org/

    • Mirza, F., Mirza, A., Chung, C. Y. S., & 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.), Future Network Systems and Security (pp. 157-171). Springer Verlag. doi:10.1007/978-3-319-48021-3_11

    • Beltrán, F., & Mirza, F. (2014). An agent-based model of access uptake on a high-speed broadband platform. In S. Leitner, & F. Wall (Eds.), Artificial economics and self organization (pp. 219-231). New York: Springer International Publishing. doi:10.1007/978-3-319-00912-4_17

    • 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 (pp. 102). IOS Press; 1999.

    Conference contributions

    • Baig, M., Afifi, S., Gholamhosseini, H., & Mirza, F. (2019). Current Challenges and Barriers to the Wider Adoption of Wearable Sensor Applications and Internet-of-Things in Health and Well-being. In 2019 International Conference on Information Resources Management (Conf-IRM). Auckland. Retrieved from https://www.conf-irm2019.com/

    • Jia, X., Mirza, F., Baig, M., & Gholamhosseini, H. (2019). A Cox-based Model for Predicting the Risk of Cardiovascular Disease. In The International Conference on Information Resources Management (Conf-IRM). Auckland.

    • Darliansyah, A., Wandabwa, H. M., Naeem, M. A., Mirza, F., & Pears, R. (2019). Long-Term Trends in Public Sentiment in Indian Demonetisation Policy. In Communications in Computer and Information Science Vol. 932 (pp. 65-75). Bahawalpur. doi:10.1007/978-981-13-6052-7_6

    • Mokobombang, N., Gutierrez, J., & Petrova, K. (2019). The Benefits of Open Government Data Use: A Cross-Country Comparison. In L. Janczewski, C. A. de Souza, & F. Mirza (Eds.), CONF-IRM 2019 Proceedings Vol. 21 (pp. 9 pages). Auckland. Retrieved from https://aisel.aisnet.org/confirm2019/21/

    • Gholamhosseini, H., Baig, M., Maratas, J., Mirza, F., & Lindén, M. (2019). Obesity risk assessment model using wearable technology with personalized activity, calorie expenditure and health profile. In Studies in Health Technology and Informatics Vol. 261 (pp. 91-96). Genoa: IOS Press. doi:10.3233/978-1-61499-975-1-91

    • Nayak, S., Hossain, M. A., Mirza, F., Naeem, M. A., & Jamil, N. (2019). E-BRACE: A Secure Electronic Health Record Access Method in Medical Emergency. In Intelligent Technologies and Applications Vol. 932 (pp. 16-27). Bahawalpur. doi:10.1007/978-981-13-6052-7_2

    • Darliansyah, A., Wandabwa, H., Naeem, M. A., Mirza, F., & Pears, R. (2019). Long-Term Trends in Public Sentiment in Indian Demonetisation Policy. In I. S. Bajwa, F. Kamareddine, & A. Costa (Eds.), Intelligent Technologies and Applications, Conference Proceedings INTAP 2018 Vol. 932 (pp. 65-75). Bahawalpur: Springer. doi:10.1007/978-981-13-6052-7

    • Nguyen, H., Zhou, F., Mirza, F., & Naeem, M. A. (2019). Fall Detection Using Smartphones to Enhance Safety and Security of Older Adults at Home. In 2018 11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018. Auckland. doi:10.23919/ICMU.2018.8653613

    • Baig, M. M., Mirza, F., Gholamhosseini, H., Gutierrez, J., & Ullah, E. (2018). Automated and Early detection of long-term conditions using a real-time wearable patient monitoring system. In 35th International Conference of International Society for Quality in Health Care (ISQua). Kuala Lumpur: International Society for Quality in Health Care. Retrieved from https://www.isqua.org/images/PDFs/ISQua-programme-KL-2018.pdf

    • Baig, M. M., Moqeem, A., Gholamhosseini, H., Mirza, F., & Ullah, E. (2018). Vital Signs Monitoring and Decision Support Application – A 6S Framework for User-centred Design Approach for mHealth Applications. In 35th International Conference of International Society for Quality in Health Care (ISQua). Kuala Lumpur: International Society for Quality in Health Care. Retrieved from https://www.isqua.org/images/PDFs/ISQua-programme-KL-2018.pdf

    • Chanane, N., Mirza, F., & Naeem, M. (2018). Technology-Driven Medication Management: A Vision through the Lens of New Zealand Experts. In 2018 HiNZ Conference Proceedings. Wellington. Retrieved from https://www.hinz.org.nz/page/proceedings

    • Baig, M., Mirza, F., & Gribben, B. (2018). Predicting Hospital Admission Risk Using Primary and Secondary Data Sources. In 2018 HiNZ Conference Proceedings. Wellington. Retrieved from https://www.hinz.org.nz/page/proceedings

    • Nguyen, H., Mirza, F., & Naeem, M. (2018). IoT-based monitoring in healthcare: Case study of falls detection and management. In 2018 HiNZ Conference Proceedings. Wellington. Retrieved from https://www.hinz.org.nz/page/proceedings

    • Baig, M., Moqeem, A., Gholamhosseini, H., & Mirza, F. (2018). Clinician-centered Mobile Application Design Framework and Clinical Decision Support for Hospitals. In 2018 HiNZ Conference Proceedings. Wellington. Retrieved from https://www.hinz.org.nz/page/proceedings

    • Karamchandani, H., Naeem, M. A., Mirza, F., & Baig, M. M. (2018). Improving post-hospital discharge management by implementing the discharge summary on a mobile application. In 2018 11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018. Auckland. doi:10.23919/ICMU.2018.8653261

    • Baig, M., Mirza, F., GholamHosseini, H., Gutierrez, J., & Ullah, E. (2018). Clinical Decision Support for Early Detection of Prediabetes and Type 2 Diabetes Mellitus Using Wearable Technology.. In Proceedings - 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 4456-4459). Honolulu, HI. doi:10.1109/EMBC.2018.8513343

    • Nguyen, H., Mirza, F., Naeem, M. A., & Baig, M. M. (2017). Detecting falls using a wearable accelerometer motion sensor. In ACM International Conference Proceeding Series (pp. 422-431). doi:10.1145/3144457.3144484

    • Chanane, N., Mirza, F., Naeem, M., & Mirza, A. (2017). Acceptance of technology-driven interventions for improving medication adherence. In Third International Conference, FNSS 2017. Florida: Springer. doi:10.1007/978-3-319-65548-2

    • Hossain, A., Mirza, F., Naeem, M. A., Gutierrez, J., & IEEE. (2017). A Crowd Sourced Framework for Neighbour Assisted Medical Emergency System. In 2017 27TH INTERNATIONAL TELECOMMUNICATION NETWORKS AND APPLICATIONS CONFERENCE (ITNAC) (pp. 480-485). . doi:10.1109/ATNAC.2017.8215436

    • Datt, S., Senapathi, M., & Mirza, F. (2017). IO Vision - an integrated system to support the visually impaired. In ACIS 2017 Conference Proceedings. Hobart. Retrieved from https://www.acis2017.org/wp-content/uploads/2017/11/ACIS2017_paper_56_RIP.pdf

    • Ghazala., Naeem., Mirza, F., & Jamil, N. (2017). Uncovering useful patterns in shopping cart data. In Proceedings of the 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 349-354). Wellington: IEEE. doi:10.1109/CSCWD.2017.8066719

    • Wandabwa, H., Naeem., & Mirza, F. (2017). Document level semantic comprehension of noisy text streams via convolutional neural networks. In Proceedings of the 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 475-479). Wellington: IEEE. doi:10.1109/CSCWD.2017.8066740

    • Ma., Nguyen., Mirza, F., & Neuland. (2017). Two way architecture between IoT sensors and cloud computing for remote health care monitoring applications. In Proceedings of the 25th European Conference on Information Systems (ECIS) (pp. 2834). Guimarães. Retrieved from http://aisel.aisnet.org/

    • Nguyen, H. H., Mirza, F., Naeem, M. A., & Nguyen, M. (2017). A review on IoT healthcare monitoring applications and a vision for transforming sensor data into real-time clinical feedback. In Proceedings of the 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 257-262). Wellington: 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 (pp. 1423-1424). Perth: ACM. doi:10.1145/3041021.3051157

    • 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 Proceedings of FNSS 2016: Future Network Systems and Security Vol. 670 (pp. 157-171). Paris. doi:10.1007/978-3-319-48021-3_11

    • Gholamhosseini, H., Baig, M. M., Mirza, F., & Luo, D. (2016). Smartphone-based continuous blood pressure monitoring application - robust security and privacy framework. In Proceedings of the 2016 IEEE Region 10 Conference (TENCON) (pp. 2939-2942). Singapore: IEEE. doi:10.1109/TENCON.2016.7848583

    • Mirza, F., & Beltrán, 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., & Beltrán, F. (2013). Using an agent-based friend circle creator model to analyze drivers of consumer choice: network effects vs. value proposition. In 16th Communications & Networking Symposium - Proceedings Vol. 45 (pp. 37-41). San Diego, CA.

    • Mirza, F., & Beltrán, F. (2013). Modeling the access market of the two-sided ultra fast broadband platform in New Zealand. In 16th Communications and Networking Symposium (CNS 2013) - Proceedings (pp. 13-18). San Diego, California: Society for Computer Simulation International. Retrieved from http://toc.proceedings.com/17606webtoc.pdf

    • Mirza, F., & Beltrán, 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: SSRN. doi:10.2139/ssrn.2241514

    • Beltrán, 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., & Beltrán, 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) - Abstracts (pp. 305). Adelaide: Modelling and Simulation Society of Australia and New Zealand (MSSANZ).

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

    • 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., & Beltrán, 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). .

    • 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. .

    Theses

    • 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. (University of Auckland).

    • Mirza, F. (2007). Opportunities and Barriers for M-Health in New Zealand. (Massey University).

    Oral presentations

    • Mirza, F., Ma., & Ahmed, S. (2017). IIOT and Data Science - Applications in Healthcare & Food Science. Industrial Internet of Things Conference, IDC Conferenz, Grand Millennium, Auckland.

    • Parry., & Mirza, F. (2017). Can my Toaster connect to the Internet?. Afraid to Ask, AUT Podcast. Retrieved from https://omny.fm/shows/afraid-to-ask/7-can-my-toaster-connect-to-the-internet

    • Mirza, F., Neuland., & Ma. (2016). Case study: Harness the power of seamless monitoring with IoT. Internet of Things, IDC Conferenz, Grand Millennium, Auckland.

    Other outputs

    • Mirza, F. (2013). Using an Agent-Based Approach for the Analysis of Competition Dynamics in a Mobile Service Market.

    • Mirza, F. (2009). Supremacy of 4G Technology – WiMax or LTE.