Mr Shohin Aheleroff

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

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Doctoral Candidate - Doctor of Philosophy

Biography

Shohin comes from a family of engineers and professional football players. He received his bachelor’s degree in Computer Hardware Engineering in 1999 and graduated with a master’s degree in Information Systems from Shiraz University, Iran in 2010. With more than two decades of industrial experience in global companies, he has delivered a wide range of high tech and innovative solutions as a project manager. More recently, Shohin started his journey towards a PhD in Mechanical Engineering, working alongside the LISMS research group led by Prof. Xun Xu at the University of Auckland. He is passionate about “breaking limits, working smarter and supporting 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

  • 1st Prize Auckland’s IoT/AR Hackathon 2019.
  • Awarded the Best Paper in the 49th International Conference on Computer & Industrial Engineering (CIE49).
  • Awarded for “Creativity in solving a complex problem” in the IDEA Bootcamp at the centre of innovation and entrepreneurship (CIE) at the University of Auckland in 2018.
  • Awarded for “Excellence for the Community” in 2019 by the Residential Leadership Committee.
  • 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., Zhong, R. Y., & Xu, X. (2020). A Digital Twin Reference for Mass Personalization in Industry 4.0. 53rd CIRP Conference on Manufacturing Systems 2020, 93, 228-233. Chicago, IL. 10.1016/j.procir.2020.04.023
    Other University of Auckland co-authors: Xun Xu
  • 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.
    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
    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
    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.
    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.
    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.

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