Et profilbilde

Assistant Professor
Cristina Viorica Heghedus { "honorific-suffix": "Assistant Professor", "fn": "Cristina Viorica Heghedus", "tel": "", "email": "cristina.heghedus@uis.no" }

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; Rong, Chunming (2019). Neural Network Frameworks. Comparison on Public Transportation Prediction. In: 2019 IEEE 33rd International Parallel and Distributed Processing Symposium Workshops. IEEE. ISBN 978-1-5386-5555-9. p. 842-849.
  • Heghedus, Cristina Viorica; Segarra, Santiago; Chakravorty, Antorweep; Rong, Chunming (2019). Neural Network Architectures for Electricity Consumption Forecasting. In: 2019 IEEE International Congress on Cybermatics. IEEE. ISBN 978-1-7281-2980-8. p. 776-783.
  • Heghedus, Cristina Viorica; Shchipanov, Anton; Chunming, Rong (2019). Advancing Deep Learning to Improve Upstream Petroleum Monitoring. IEEE Access. ISSN 2169-3536. Volume 7. Booklet 1. p. 106248-106259. DOI: 10.1109/ACCESS.2019.2931990.
  • 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; Chunming, Rong (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; Chunming, Rong; Heghedus, Cristina Viorica; Haugsand, Fredrik (2018). Well Data Analytics: from Case Studies to Solutions. ONS 2018; 2018-08-28 - 2018-08-29.