Et profilbilde

Research Fellow
Cristina Viorica Heghedus { "honorific-suffix": "Research Fellow", "fn": "Cristina Viorica Heghedus", "tel": "", "email": "" }

Faculty Faculty of Science and Technology
Department Department of Electrical Engineering and Computer Science

Courses taught

Research fields

Selected publications

Research in progress

Work experience

Scientific publications (from Cristin)

  • Heghedus, Cristina Viorica; Chakravorty, Antorweep; Chunming, Rong (2018). Energy Informatics Applicability; Machine Learning and Deep Learning. In: Big Data, Cloud Computing, Data Science and Engineering. IEEE. ISBN 978-1-5386-5605-1. p. 97-101.
  • Heghedus, Cristina Viorica; Chakravorty, Antorweep; Chunming, Rong (2018). Energy Load Forecasting Using Deep Learning. In: IEEE International Conference on Energy Internet. IEEE. ISBN 978-1-5386-4131-6. p. 146-151.
  • Heghedus, Cristina Viorica (2017). Ph.D. Forum: Forecasting Public Transit Using Neural Network Models. In: 2017 IEEE International Conference on Smart Computing (SMARTCOMP). IEEE conference proceedings. ISBN 978-1-5090-6517-2. p. 243-244.
  • Heghedus, Cristina Viorica; Shchipanov, Anton; Rong, Chunming (2019). Pattern Recognition and Flow Rate Reconstruction: PDG Data Analysis Using Machine Learning. Rice University; 2019-03-04 - 2019-03-06.
  • Heghedus, Cristina Viorica; Chakravorty, Antorweep; Rong, Chunming (2018). Deep Learning For Short-Term Energy Load Forecasting Using Influential Factors. 2018-09-24 - 2018-09-26.
  • Shchipanov, Anton; Berenblyum, Roman; Khrulenko, Alexey A.; Kollbotn, Lars; Rong, Chunming; Heghedus, Cristina Viorica; Haugsand, Fredrik (2018). Well Data Analytics: from Case Studies to Solutions. ONS 2018; 2018-08-28 - 2018-08-29.