Mr Shohin Aheleroff

BEng, MSc, PMP, PRINCE2, PSM, ITIL, CoBIT

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Doctoral Candidate - Doctor of Philosophy

Biography

Shohin grew up in one of the hottest cities in the world, Ahvaz, and comes from a family of engineers and professional football players. He has 20+ years’ industrial experience in global companies and delivered a wide range of multi-million dollar projects at MTN, a Fortune 500 company for almost eight years. Before that, he was part of the largest gas project in the world at TOTAL, an international energy company, for five years. Shohin is passionate about empowering business to operate smarter and support the future.

Research | Current

Research topic: Internet of Things Personalized Products in Industry 4.0

Cyber-Physical Systems (CPS)

Internet of Things (IoT)

Industry 4.0

Teaching | Current

MECHENG 752 - Technology Management

Distinctions/Honours

  • Awarded the Best Paper in the 49th International Conference on Computer & Industrial Engineering (CIE49).
  • Awarded for “Excellence for the Community” in 2019 by the Residential Leadership Committee.
  • Awarded for “Creativity in solving a complex problem” in the IDEA Bootcamp at the centre of innovation and entrepreneurship at the University of Auckland in 2019.
  • 1st Prize Auckland’s IoT/AR Hackathon 2019.
  • Honoured to receive the New Zealand Prime Minister’s Scholarships for Latin America in 2018.
  • Honoured to receive the Faculty of Engineering Scholarship.

Areas of expertise

  • Digital twin
  • Industry 4.0
  • Internet of Things
  • Project Management
  • Personalized Product Development

Committees/Professional groups/Services

EngNZ, Engineering New Zealand

NZBED, New Zealand Board for Engineering Diplomas

IITP, IT Professional New Zealand

PMI, Project Management Institue

Selected publications and creative works (Research Outputs)

  • Ahel Eroff, S., Polzar, J., Huang, H., Zhu, Z., Tomzik, D., Lu, Y., ... Xu, X. (2020). Smart manufacturing based on Digital Twin technologies. In C. Machado, J. P. Davim (Eds.) Industry 4.0 Challenges, Trends, and Solutions in Management and Engineering (pp. ). Boca Raton: Taylor & Francis Group. 10.1201/9781351132992-3
    Other University of Auckland co-authors: David Tomzik, Xun Xu
  • Ahel Eroff, S., Xu, X., & Zhong, R. Y. (2020). An Agile Product Development Methodology for Mass Personalisation under Industry 4.0. Proceedings of International Conference on Computers and Industrial Engineering, CIE49 Beijing, China. Related URL.
    URL: http://hdl.handle.net/2292/50409
    Other University of Auckland co-authors: Xun Xu, Ray Y Zhong
  • Ahel Eroff, S., & xu, X. U. N. (2020). IoT-enabled smart appliances under industry 4.0: A case study. Advanced Engineering Informatics, 4310.1016/j.aei.2020.101043
    URL: http://hdl.handle.net/2292/50254
    Other University of Auckland co-authors: Xun Xu, Yuqian Lu
  • Aheleroff, S., Philip, R., Zhong, R. Y., & Xu, X. (2019). The degree of mass personalisation under Industry 4.0. Procedia CIRP, 81, 1394-1399. Ljubljana, Slovenia: Elsevier. 10.1016/j.procir.2019.04.050
    URL: http://hdl.handle.net/2292/47833
    Other University of Auckland co-authors: Xun Xu, Ray Y Zhong
  • Aheleroff, S., & Zhong, R. Y. (2018). IoT-enabled personalisation for smart products and services in the context of industry 4.0. Paper presented at International Conference on Computers & Industrial Engineering 2018 (CIE48), Auckland, New Zealand. 2 December - 5 December 2018. Proceedings of International Conference on Computers and Industrial Engineering, CIE. (pp. 20). Related URL.
    URL: http://hdl.handle.net/2292/48057
    Other University of Auckland co-authors: Ray Y Zhong
  • Zhong, R. Y., Xu, X., & Aheleroff, S. (2017). Smart manufacturing systems for industry 4.0: A conceptual framework. Proceedings of International Conference on Computers and Industrial Engineering, CIE.
    URL: http://hdl.handle.net/2292/40449
    Other University of Auckland co-authors: Ray Y Zhong, Xun Xu
  • Aheleroff, S. (2013). Applying call and event detail records to customer segmentation and CLV. International Journal of Information and Communication Technology Research, 3 (8), 246-271. Related URL.
  • Aheleroff, S. (2011). Customer segmentation for a mobile telecommunications company based on service usage behavior. Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011.

Identifiers

Contact details

Alternative contact

shohin.aheleroff@gmail.com

Primary office location

ENGINEERING BLOCK 5 - Bldg 405
Level 8, Room 859
5 GRAFTON RD
AUCKLAND CENTRAL
AUCKLAND 1010
New Zealand

Social links

Web links