Agaraoli Aravazhi

Avdeling for logistikk
English version of this page Stilling
Stipendiat i logistikk
Kontakt
+4771195815
Studiested
Molde
Kontornr.
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

 

Forskergrupper

Emneord: Stipendiat Logistikk

Publikasjoner

  • Aravazhi, Agaraoli (2021). Hybrid machine learning models for forecasting surgical case volumes at a hospital. AI. 2(4), s. 512–526. doi: 10.3390/ai2040032.
  • 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), s. 34–44. doi: 10.2478/emj-2020-0003. Fulltekst i vitenarkiv
  • 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 ), s. 1–21. doi: 10.1016/j.trd.2020.102280.

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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.
  • Helgheim, Berit; Aravazhi, Agaraoli & Løfaldli, Bjarte Bye (2018). Using AI to develop a triage system in Norwegian Home Care.
  • Aravazhi, Agaraoli & Helgheim, Berit (2018). Text mining of administrative board hospital documents.
  • 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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Publisert 3. sep. 2018 15:09 - Sist endret 10. jan. 2020 15:19