Alise Danielle Midtfjord

Doctoral Research Fellow - Risk and Stochastics
Image of Alise Danielle Midtfjord
Norwegian version of this page
Mobile phone +47 93427423
Room 1005
Username
Visiting address Moltke Moes vei 35 Niels Henrik Abels hus 0851 Oslo
Postal address Postboks 1053 Blindern 0316 Oslo

Academic interests

  • Machine learning and Data Science
  • Explainable Artificial Intelligence
  • Applications within risk and safety
  • Physics-informed machine learning

Background

Alise did her Master of Science at the Norwegian University of Life Sciences (NMBU) in Environmental Physics. In her thesis, she combined machine learning with image analysis of PET/CT-images of cancer tumors, to predict the treatment outcome. After that, Alise worked with technology consulting for Accenture, working with new technologies like machine learning and extended reality. Since August 2019, she has been a PhD Student at the Department of Mathematics at the University of Oslo. Here she is working on modelling and analysis of multidimensional high-resolution environmental data within safety-critical systems such as airport runway condition management.

Publications and Preprints

Talks

Time-to-Event Prediction with Dependent Censoring - dScience Lunch (17 February 2022)

A Decision Support System for Safer Airplane Landings: Predicting Runway Conditions Using XGBoost and Explainable AI - SIAM Conference on Uncertainty Quantification (25 April 2022)Big Insight Lunch (13 October 2021), Cheerful Stochastics besides Corona Risks (12 October 2021)

 A Machine Learning Approach to Assess Runway Conditions Using Weather Data -  31st European Safety and Reliability Conference (21 September 2021), Cheerful Stochastics besides Corona Risk (28 October 2020)

The Fundamentals of AI - Demystify AI: The Fundamentals & Implications (23 May 2021)

 Estimating Runway Friction Using Flight Data - 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (2 November 2020), A first bite of STORM (15 January 2020)

Explainable Artificial Intelligence: How to make AI responsible - AIM North 22 Symposium (6 April 2022)Global AI on Tour (17 June 2020)Women in Tech Summit 2020 (8 February 2020)

Other websites

Tags: Risk, Statistics, Machine Learning, data science

Publications

  • Midtfjord, Alise Danielle & Huseby, Arne Bang (2021). A Machine Learning Approach to Assess Runway Conditions Using Weather Data. In Castanier, Bruno; Cepin, Marko; Bigaud, David & Berenguer, Christophe (Ed.), Proceedings of the 31st European Safety and Reliability Conference. Research Publishing Services. ISSN 978-981-18-2016-8. p. 833–840. doi: 10.3850/978-981-18-2016-8_474-cd.
  • Midtfjord, Alise Danielle; De Bin, Riccardo & Huseby, Arne Bang (2021). A Machine Learning Approach to Safer Airplane Landings: Predicting Runway Conditions using Weather and Flight Data. arXiv.org. ISSN 2331-8422.
  • Midtfjord, Alise Danielle & Huseby, Arne (2020). Estimating Runway Friction Using Flight Data. In Baraldi, Piero; Di Maio, Francesco P. & Zio, Enrico (Ed.), e-proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 PSAM15). Research Publishing Services. ISSN 9789811485930. p. 9–16.

View all works in Cristin

  • Midtfjord, Alise Danielle (2021). A Machine Learning Approach to Safer Airplane Landings.
  • Midtfjord, Alise Danielle (2021). The Fundamentals of AI.
  • Midtfjord, Alise Danielle (2020). Estimating Runway Friction Using Flight Data.
  • Midtfjord, Alise Danielle (2020). Estimating Runway Friction Using Flight Data.
  • Midtfjord, Alise Danielle (2020). Explainable Artificial Intelligence (XAI).
  • Midtfjord, Alise Danielle (2020). Explainable Artificial Intelligence: How to make AI responsible.
  • Grøndahl, Aurora Rosvoll; Midtfjord, Alise Danielle; Langberg, Geir Severin Rakh Elvatun; Tomic, Oliver; Indahl, Ulf Geir & Knudtsen, Ingerid Skjei [Show all 9 contributors for this article] (2019). Prediction of treatment outcome for head and neck cancers using radiomics of PET/CT images. Radiotherapy and Oncology. ISSN 0167-8140. 133, p. 526–526.
  • Langberg, Geir Severin; Grøndahl, Aurora Rosvoll; Midtfjord, Alise Danielle; Tomic, Oliver; Liland, Kristian Hovde & Knudtsen, Ingerid Skjei [Show all 9 contributors for this article] (2019). Establishing a complete radiomics framework for biomarker identification and outcome prediction using PET/CT images of head & neck cancers.
  • Midtfjord, Alise Danielle & Futsæther, Cecilia Marie (2018). Prediksjon av behandlingsutfall for hode-og halskreft ved bruk av radiomics av PET/CT-bilder. Norwegian University of Life Sciences, Ås.

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Published Nov. 20, 2019 1:48 PM - Last modified Apr. 28, 2022 3:14 PM