Teaching

Reinforcement Learning

Graduate course, University of Bergen, 2024

Lecturer for the course INF368A Selected Topics in Machine Learning. The course covers the foundation of Reinforcement Learning, from modelling with Markov Decision Processes to applications of Deep Reinforcement Learning.

Introduction to Machine Learning with Python

Undergraduate and graduate course, OsloMet University, 2020

Guest lecturer for a class providing a brief introduction on the key concepts of machine learning and a short tutorial on using scikit-learn to instantiate models and train them.

Introduction to Artificial Intelligence and Machine Learning

Undergraduate and graduate course, University of Oslo, 2020

Guest lecturer for the class on Unsupervised Learning and contributor to the class on Ethics and Future Perspectives of Machine Learning.

Introduction to Artificial Intelligence and Machine Learning

Undergraduate and graduate course, University of Oslo, 2020

Guest lecturer for the class on Unsupervised Learning.

Modelling and Visualization of High Dimensional Data

Undergraduate course, University of Manchester, 2016

Teaching assistance in Modelling and Visualization of High Dimensional Data

Modelling and Visualization of High Dimensional Data

Undergraduate course, University of Manchester, 2015

Teaching assistance in Modelling and Visualization of High Dimensional Data

Digital Biology

Undergraduate course, University of Manchester, 2015

Teaching assistance in Digital Biology

Introduction to Machine Learning

Undergraduate course, University of Manchester, 2014

Teaching assistance in Introduction to Machine Learning

Project Supervision

M. Dravucz, *Jointly Learning Consistent Causal Abstraction Over Multiple Interventional Distributions**, MSc by research at the University of Warwick, 2022

M. Heggem, Graph Neural Networks to Process Threat Data, MSc dissertation at the University of Oslo, 2022

W. Arild Dahl, Malware Detection using Recurrent Neural Networks, MSc dissertation at the University of Oslo, 2020

S. Waisi, Analyzing AI Safety Problems in Reinforcement Learning, MSc dissertation at the University of Oslo, 2020

M. Nini, Speech Emotion Recognition via Covariate Shift Adaptation, MSc dissertation submitted to the University of Manchester, 2016

Advisory Supervision

A. Wang-Hansen, Fair Automated Decision-making, MSc dissertation at the University of Oslo, ongoing

A. Egiazarov, Firearm Detection Through Component Decomposition, MSc dissertation submitted to the University of Oslo, 2019

L. Parker, Wind Power Predictions for Norwegian Wind Farms with Machine Learning, MSc dissertation submitted to the University of Oslo, 2019

S. Berdal, A Holistic Approach to Insider Threat Detection, MSc dissertation submitted to the University of Oslo, 2018

Revision

A. Chaudhary and A. Sinha, Enterprises’ procurement data classification and spend visibility, MSc dissertation submitted to BI Oslo, 2022

M.K. Berntsen, Biological Analogies in Malware: Proposing a Phylogenetics-Inspired System for Malware Research, MSc dissertation submitted to the University of Oslo, 2020

I. Ytrehus, Detecting Buffer Overflows using Python, MSc dissertation submitted to the University of Oslo, 2020

T.F. Lyseggen, Keystroke as a Biometric for Authentication, MSc dissertation submitted to the University of Oslo, 2019