Projects


Will come

Graduate students


Ph.D. Students:


Nils Jakob Johannesen,Graduated in 2022

Principal Supervisor: Mohan Lal Kolhe, Second Supervisor: Morten Goodwin

Machine Learning Applications for Operation and Management of Smart Distributed Electrical Energy Network

First job after graduation: Associate Professor, University of Southern Norway


Per-Arne Andersen, Graduated in 2022

Principal Supervisor: Morten Goodwin, Second Supervisor: Ole-Christoffer Granmo

Advancements in Safe Deep Reinforcement Learning for Real-Time Strategy Games and Industry Applications

First job after graduation: Associate Professor, University of Agder


Darshana Abeyrathna, Graduated in 2022

Principal Supervisor: Ole-Christoffer Granmo, Second Supervisor: Morten Goodwin

Novel Tsetlin Machine Mechanisms for Logic-based Regression and Classification with Support for Continuous Input, Clause Weighting, Confidence Assessment, Deterministic Learning, and Convolution

First job after graduation: Senior Researcher DNV


Jivitesh Sharma, Graduated in 2020

Principal Supervisor: Ole-Christoffer Granmo, Second Supervisor: Morten Goodwin

Advances in Deep Learning Towards FireEmergency Application: NovelArchitectures, Techniques and Applications of Neural Networks

First job after graduation: PostDoc, University of Agder


Mehdi Ben Lazreg, Graduated in 2020

Principal Supervisor: Morten Goodwin, Second Supervisor: Ole-Christoffer Granmo

A Neural Network-Based Situational Awareness Approach for Emergency Response

First job after graduation: Machine Learning Developer  Infront ASA


Ongoing:

Karl Audun Kagnes Borgersen, Clothes Rental Recommendation and Onboarding with Deep Learning

Daniel Biermann, Deep Learning for Personalized Chatbot-based Education

Jakob Michael Voigt, Enabling Personalized Education through the use of Machine Learning and Learning Analytics

Martin Holen, A reinforcement learning-based approach for autonomous vehicles in simulated and real-world environments.

Micheal Dutt, A machine learning approach for non-intrusive physiological and behavioral monitoring in mental healthcare settings.

Rohan Kumar Yadav, Interpretable Architectures and Algorithms for Natural Language Processing

Sander Jyhne, Deep learning for map segmentation

Sven Opalic, Deep Neural Networks for Energy Efficiency in High Tech Warehouses

Vera Barstad, Deep Neural Networks for Efficient Analysis of Magnetic Resonance Imaging

Vera Szabo, Predictive maintenance of drilling equipment using deep neural networks

Li Meng, Integrating novel self-supervised learning techniques into deep reinforcement Learning: learning behaviors from few expert examples by GANs and semi-supervised learning 



PostDocs:

Vimala Nunavath

Deep learning for health analysis

First job after completion: Associate Professor University of Southern Norway


Aditya Gupta

A view of more than you see of aquaculture.


Rashmi Gupta

Production optimization, quality management, and sustainability through the grain value chain


Jeppe Have Rasmussen

Deep learning for the biomechanics of sound production in cod.


Graduated Master Students:

(Will come)

Publications


An almost complete list of papers can be found at my Google Scholar.