Agaraoli Aravazhi

Faculty of Logistics
Norwegian version of this page Position
Research Fellow Logistics
Contact
+4771195815
Study place
Molde
Office nr.
A0.066

Tentative title of my PhD thesis: "Big data–driven machine-learning approach for improvement in the field of health logistics"

My main supervisor is Associate Professor Berit Irene Helgheim and the co-supervisors are Postdoctoral Fellow Birgithe Eckermann Sandbæk and Assistant Professor Nikhil Varma

 

Background

I am currently a PhD student in logistics at Molde University College, Specialized University in Logistics (MUC).I have Bachelor of Technology degree in Mechanical Engineering from Amrita Vishwa Vidyapeetham University and Master of Science degree in Engineering Logistics from Molde University College. 

Teaching work:

  • IBE700 Enterprise Resource Planning Systems (ERP-systems) - Spring 2019 

  • LOG904-117 Business Intelligence with SAP - Fall 2018, Fall 2019

Further details: 

All relevant info on my LinkedIn page

Tags: Doctoral Research Fellow Logistics

Publications

  • Aravazhi, Agaraoli (2021). Hybrid machine learning models for forecasting surgical case volumes at a hospital. AI. 2(4), p. 512–526. doi: 10.3390/ai2040032.
  • Müller, Falko & Aravazhi, Agaraoli (2020). A new generalized travel cost based connectivity metric applied to Scandinavian airports. Transportation Research Part D: Transport and Environment. ISSN 1361-9209. 81(April ), p. 1–21. doi: 10.1016/j.trd.2020.102280.
  • Aravazhi, Agaraoli; Helgheim, Berit & Jæger, Bjørn (2020). Investigation of the influence of product variety on inventories in hospitals. Engineering Management in Production and Services. ISSN 2543-6597. 12(1), p. 34–44. doi: 10.2478/emj-2020-0003. Full text in Research Archive

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  • Aravazhi, Agaraoli; Helgheim, Berit & Sandbæk, Birgithe Eckermann (2019). Identifying KPI’s by using text mining of administrative board documents in Norwegian hospitals.
  • Aravazhi, Agaraoli & Helgheim, Berit (2018). Text mining of administrative board hospital documents.
  • Helgheim, Berit; Aravazhi, Agaraoli & Løfaldli, Bjarte Bye (2018). Using AI to develop a triage system in Norwegian Home Care.
  • Jæger, Bjørn & Aravazhi, Agaraoli (2018). Preparing the digital workforce : best-practices in teaching SAP.
  • Bach, Terje; Aravazhi, Agaraoli & Konovalenko, Anna (2020). Blockchain technology for electronic health records : challenges & opportunities. Molde University College - Specialized University in Logistics. ISSN 978-82-7962-300-7.
  • Aravazhi, Agaraoli & Jæger, Bjørn (2017). Predictive Offshore Crane Maintenance Manager (PCM). Molde University College - Specialized University in Logistics. ISSN 978-82-7962-228-4.

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Published Sep. 3, 2018 3:09 PM - Last modified Jan. 10, 2020 3:18 PM