Disputaser
Tidligere
Ph.d-kandidat Nathan Abel Rooslott ved Institutt for teknologisystemer, Det matematisk-naturvitenskapelige fakultet, vil forsvare sin avhandling for graden Philosophiae Doctor:
"Moisture stress and related degradation in floating photovoltaic applications".
Ph.d-kandidat Erlend Hustad Honningdalsnes ved Institutt for teknologisystemer, Det matematisk-naturvitenskapelige fakultet, vil forsvare sin avhandling for graden Philosophiae Doctor:
"Vertical agrivoltaic systems: Modeling, optimization, and monitoring - With special emphasis on northern climates"
Ph.d-kandidat Saurab Rauniyar ved Institutt for teknologisystemer, Det matematisk-naturvitenskapelige fakultet, vil forsvare sin avhandling for graden Philosophiae Doctor:
"Toward Next-Generation Maritime Communication: Solutions for Near-Shore and Onboard Ship Challenges"
Ph.d-kandidat Lewis Raymond Williams ved Institutt for teknologisystemer, Det matematisk-naturvitenskapelige fakultet, vil forsvare sin avhandling for graden Philosophiae Doctor:
"Deployable Antennas For Small Spacecraft: Broadband UHF antennas for New Space"
Ph.d-kandidat Oskar Vågerö ved Institutt for teknologisystemer, Det matematisk-naturvitenskapelige fakultet, vil forsvare sin avhandling for graden Philosophiae Doctor:
"Socially inclusive energy transitions - Energy systems, models and justice"
Ph.d-kandidat Victoria Lofstad-Lie ved Institutt for teknologisystemer, Det matematisk-naturvitenskapelige fakultet, vil forsvare sin avhandling for graden Philosophiae Doctor:
"Cost-Effective Aerial Thermography Inspection of Photovoltaic Power Plants - With Emphasis on High Latitude Areas"
Ph.d-kandidat Emil Høj Jensen ved Institutt for teknologisystemer, Det matematisk-naturvitenskapelige fakultet, vil forsvare sin avhandling for graden Philosophiae Doctor:
"Metal hydrides suitable for practical applications and their use
in scaled-up systems"
Ph.d-kandidat Li Meng ved Institutt for teknologisystemer, Det matematisk-naturvitenskapelige fakultet, vil forsvare sin avhandling for graden Philosophiae Doctor:
"State Representations in Reinforcement Learning"
Ph.d-kandidat Bjørn L. Aarseth ved Institutt for teknologisystemer, Det matematisk-naturvitenskapelige fakultet, vil forsvare sin avhandling for graden Philosophiae Doctor:
"Field characterization and production data timeseries analysis for performance evaluation of photovoltaic power plants"
Ph.d-kandidat Øyvind Sommer Klyve ved Institutt for teknologisystemer, Det matematisk-naturvitenskapelige fakultet, vil forsvare sin avhandling for graden Philosophiae Doctor:
"Value of Hybrid Solar-Wind Power Plants in
Deregulated Markets"
Ph.d-kandidat Jan Gulla ved Institutt for teknologisystemer, Det matematisk-naturvitenskapelige fakultet, vil forsvare sin avhandling for graden Philosophiae Doctor:
"Photon localization: Local measurements, localized states, and on-demand sources in quantum field theory"
Ph.d-kandidat Isabelle Viole ved Institutt for teknologisystemer, Det matematisk-naturvitenskapelige fakultet, vil forsvare sin avhandling for graden Philosophiae Doctor:
"Renewable energy supply and energy storage systems for a sustainable telescope"
Ph.d-kandidat Titus M. Casademont ved Institutt for teknologisystemer, Det matematisk-naturvitenskapelige fakultet, vil forsvare sin avhandling for graden Philosophiae Doctor:
"Dielectric Permittivity with Ground Penetrating Radar: Analysis of the Shallow Martian Subsurface"
Ph.d-kandidat Torbjørn Egeland-Eriksen ved Institutt for teknologisystemer, Det matematisk-naturvitenskapelige fakultet, vil forsvare sin avhandling for graden Philosophiae Doctor:
"Green hydrogen as energy storage and energy carrier in combination with offshore wind power: Production, energy management and techno-economic analysis"
Ph.d-kandidat Lars Ødegaard Bentsen ved Institutt for teknologisystemer, Det matematisk-naturvitenskapelige fakultet, vil forsvare sin avhandling for graden Philosophiae Doctor:
"Deep Learning for Offshore Wind Park Modelling and Forecasting"
Sigurd Eide ved Institutt for teknologisystemer vil forsvare sin avhandling for graden philosophiae doctor:
RIMFAX-modeling for Martian subsurface exploration: Ground-penetrating radar studies for the Mars 2020 Perseverance rover mission, during exploration of Jezero Crater Floor.
M.sc. Mari Øgaard ved Institutt for teknologisystemer vil forsvare sin avhandling for graden philosophiae doctor:
Methodology for performance evaluation of PV systems - with a special focus on high latitudes and snow
M.sc. Manas Pradhan ved Institutt for teknologisystemer vil forsvare sin avhandling for graden philosophiae doctor:
Interoperability for Disaster Relief Operations in Smart City Environments
M.sc. Maghsoud Morshedi Chinibolagh ved Institutt for teknologisystemer vil forsvare sin avhandling for graden philosophiae doctor:
Machine Learning for Managed Wi-Fi: From best-effort to quality-assessed wireless services
M.sc. Lars Grønmark Holmen ved Institutt for teknologisystemer vil forsvare sin avhandling for graden philosophiae doctor:
Development of 1.5 µm and 2 µm fiber lasers and applications in 3D-imaging and mid-infrared generation
M.sc. Manish Shrestha ved Institutt for teknologisystemer vil forsvare sin avhandling for graden philosophiae doctor:
LightSC: A light-weight security classification methodology to design and evaluate security of IoT systems
M.sc. Åsmund Skomedal ved Institutt for teknologisystemer vil forsvare sin avhandling for graden philosophiae doctor:
Data-based approaches to efficient operation and maintenance of PV systems
M.sc. Elahe Fazeldehkordi ved Institutt for teknologisystemer vil forsvare sin avhandling for graden philosophiae doctor:
Security and Privacy Solutions in IoT and Distributed Systems Design
M.sc. Karl Jacob Hiden Rudander ved Institutt for teknologisystemer vil forsvare sin avhandling for graden philosophiae doctor:
Underwater Acoustic Communication in the Very High-Frequency Band.
M.sc. Desta Haileselassie Hagos by the Department of Technology Systems will be defending his thesis
"Discovering the Dynamic Complexity of TCP Using Machine Learning and Deep Learning Techniques"
for the degree of Philosophiae Doctor.