Cristina Heghedus

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Cristina Heghedus

Ph.D. started in: 2016
Expected year of graduation: 2019
COINS consortium member: University of Stavanger
Supervised by: Chunming Rong, Antorweep Chakravorty
Links: Cristin
Research area: Models and Protocols
Project title: Dara driven energy informatics
Project description: The background for my PhD lies in the constantly growing amount of data. The Internet of Things and Big Data requires permanent evolvement of the methods/models being used in order to analyze and improve behavior of the objects. During my PhD I will explore these methods and datasets. I am interested in making a contribution in peoples life. They must feel safe and secure about their lifestyle and personal information.

Publications:

  1. Cristina Viorica Heghedus, Antorweep Chakravorty, Rong Chunming (2018). Energy Informatics Applicability; Machine Learning and Deep Learning
  2. Cristina Viorica Heghedus, Antorweep Chakravorty, Rong Chunming (2018). Energy Load Forecasting Using Deep Learning
  3. Anton Shchipanov, Roman Berenblyum, Alexey A. Khrulenko, C. Rong, Cristina Viorica Heghedus, F. Haugsand (2018). Well Data Analytics: from Case Studies to Solutions
  4. Cristina Viorica Heghedus (2017). Ph.D. Forum: Forecasting Public Transit Using Neural Network Models
Courses attended:
  1. IMT6002 COINS Winter School (NTNU), 3 ECTS, 2017
Events attended with COINS funding:
  1. COINS Ph.D student seminar, Longyearbyen, Svalbard, Norway, 2018
  2. NISK 2018, Longyearbyen, Svalbard, Norway, 2018
  3. COINS Finse winter school, Finse, Norway, 2017
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