2020 AI Lab Thesis Pitches

This page contains the submitted thesis pitches in cooperation with the Norwegian Open AI Lab. Due to the cancellation of the master thesis pitch event we provide here the thesis description and presentation of the thesis. In order to apply for the thesis, please use the IDI master thesis or contact the NTNU supervisor named with the thesis.


Pitches


#2: AI systems for medical diagnosis

How can we give artificial intelligence systems used for medical diagnosis the ability to say... "I have never seen this before. Don't trust me on this one." ?

Contact: Jon Bekker, dedex.ai
NTNU Supervisor: Adil Rasheed, ITK

Description

Video summary:


#3: Improving Project Estimation with Case-based Reasoning

Contact: Thomas Thoresen, Norconsult
NTNU Supervisor: Kerstin Bach

Description

#4: NLP - Enterprise-scale smart document search

Contact: Thomas Thoresen, Norconsult
NTNU Supervisor: Björn Gambäck

Description


#5: NLP with Deep Learning and Advanced Machine Learning for Information Retrieval from Text Archives

Contact: Javad Rezaie/Arkivverket
NTNU Supervisor: Björn Gambäck

Description

Video summary:


#6: Real-Time decision support for aquaculture operations

Contact: Knut Drange/Piscada
NTNU Supervisor: Keith Downing

Description


#8: Generative Adversarial Network for Temporal Window imputation for Multivariate Time Series Data

Contact: Massimiliano Ruocco/Sara Malacarne Telenor
NTNU Supervisor: Massimiliano Ruocco

Description


#9: Neural Language Models in Speech Recognition

Contact: Massimiliano Ruocco/Pablo Ortiz/ Telenor
NTNU Supervisor: Massimiliano Ruocco

Description

#10: Transfer Learning for Data-efficient analysis of similar IoT devices

Contact: Massimiliano Ruocco/Sara Malacarne/Jostein Fløystad (Telenor)
NTNU Supervisor: Massimiliano Ruocco

Description

Video summary for "Generative Adversarial Network for Temporal Window imputation for Multivariate Time Series Data" and "Transfer Learning for Data-efficient analysis of similar IoT devices":


#11: ML based time trial prediction model for team INEOS

Contact: Luca Oggiano/Robby Ketchell (Team INEOS/Nablaflow)
NTNU Supervisor: Massimiliano Ruocco

Description


#12: Machine learning to automate image analytics in medical image guided procedures

Contact: Thomas Langø (SINTEF)
NTNU Supervisor: Frank Lindseth

Description

Video summary:


#14: Fault segmentation based on the machine learning results

Contact: Olesya Zimina/Victor Aarre (Schlumberger)
NTNU Supervisor: Rudolf Mester

Description

#15: Quantitative QC for seismic machine learning

Contact: Olesya Zimina/Victor Aarre (Schlumberger)
NTNU Supervisor: Rudolf Mester

Description

Video summary:


#17: TrønderEnergi: Reproducibility of deep transfer learning models for time-series forecasting

Contact: Odd Erik Gundersen, TrønderEnergi
NTNU Supervisor: Odd Erik Gundersen

Description

#18: TrønderEnergi: Deep probabilistic time-series forecasting

Contact: Odd Erik Gundersen, TrønderEnergi
NTNU Supervisor: Odd Erik Gundersen

Description

#19: TrønderEnergi: Explainable time-series forecasting

Contact: Odd Erik Gundersen, TrønderEnergi
NTNU Supervisor: Odd Erik Gundersen

Description


#20: Way - Personalizing a virtual driving instructor

Contact: Odd Erik Gundersen, Way
NTNU Supervisor: Odd Erik Gundersen

Description


#21: AI, autonomy and computer vision for smart maintenance of road infrastructure

Contact: Siri Hustad/Ingvald Strømmen (NTNU/Statens vegvesen)
NTNU Supervisor: Frank Lindseth / Heri Ramampiaro

Description


#22: AI, AI, AI, what a gentle lobster!

Contact: Stig W Omholt (NTNU)
NTNU Supervisor: Frank Lindseth

Description


#23: Next generation Responsible Gaming Solutions driven by AI

Contact: Jørn Berg Nordlund (Norsk Tipping)/ Joakim Wergeland (Lighthouse)
NTNU Supervisor: Ole Jakob Mengshoel

Description

#24: Bildesammenligning. Sammenstille forskjellige utgaver av fotografier

Contact: Freddy Wetjen/ Nasjonalbiblioteket
NTNU Supervisor: Giampiero Salvi, IES

Description


#25: Informasjonselementer i tekst

Contact: Svein Arne Brygfjeld, Nasjonalbiblioteket
NTNU Supervisor: Björn Gambäck, IDI or Giampiero Salvi, IES

Description


#26: De-identification of text documents for privacy protection

Contact: Pierre Lison, Norsk regnesentral
NTNU Supervisor: Heri Ramampiaro

Description

#27: Graph-based representations of the dialogue state (and application to human-robot interaction)

Contact: Pierre Lison, Norsk regnesentral
NTNU Supervisor: Björn Gambäck

Description


#28: Prediction of personalized ski jumping results

Contact: Ola Elfmark (NTNU senter for idrettsanlegg og teknologi)
NTNU Supervisor: Helge Langseth

Description


#29: DNVGL-Object detection + multiple objects

Contact: Jing Xie, DNV GL Høvik
NTNU Supervisor: Rudolf Mester

Description

#30: DNVGL-Convolutional neural network based object tracking

Contact: Jing Xie, DNV GL Høvik
NTNU Supervisor: Rudolf Mester

Description

#31: DNVGL- Detecting cracks from a stack of motion compensated images

Contact: Jing Xie, DNV GL Høvik
NTNU Supervisor: Rudolf Mester

Description


#33: Ship detection and classification

Contact: Adrian Tofting, Vake
NTNU Supervisor: Keith Downing

Description

Contact