2023

Project #1: Evaluating Model Poisoning Attacks in Federated Machine Learning Download Evaluating Model Poisoning Attacks in Federated Machine Learning

Project #4: Computational modeling of avascular tumors: exploring the hallmarks of cancer in silico Download Computational modeling of avascular tumors: exploring the hallmarks of cancer in silico

Project #5: Incorporating learned preconditioners in an open-source FEM solver Download Incorporating learned preconditioners in an open-source FEM solver

Project #6: Learning preconditioners for interior point methods Download Learning preconditioners for interior point methods

Project #7a: Neural representation of massive 3D data Download Neural representation of massive 3D data

Project #7b: Neural representation of massive 3D data Download Neural representation of massive 3D data

Project #9: Architectured materials with tailored energy dissipation: Design with machine learning Download Architectured materials with tailored energy dissipation: Design with machine learning

Project #10: High-dimensional option pricing using dimension reduction Download High-dimensional option pricing using dimension reduction

Project #11: Quasi-Optimal Entanglement Characterisation in Quantum States Download Quasi-Optimal Entanglement Characterisation in Quantum States

Project #12: A Hybrid Finite Difference – Finite Element Method for Wave Equations Download A Hybrid Finite Difference – Finite Element Method for Wave Equations

Project #13: Filtering and identification in Epidemics Download Filtering and identification in Epidemics

Project #14: Analysis of weakly labeled digital cytology data Download Analysis of weakly labeled digital cytology data

Project #15: Evaluating resilience to heat stress among dairy cows Download Evaluating resilience to heat stress among dairy cows

Project #16: Detecting the sequential use of resting beds by cows after milking Download Detecting the sequential use of resting beds by cows after milking

Project #17: Detecting the location of cows before entering the milking parlor Download Detecting the location of cows before entering the milking parlor

Project #18: Detecting spikes in positioning data applied to cow movement Download Detecting spikes in positioning data applied to cow movement

Project #19: Machine Learning Accelerated Solution of Inverse Problems in Photonics Download Machine Learning Accelerated Solution of Inverse Problems in Photonics

Project #20: Modelling the physical and chemical behaviour of magma and associated geothermal systems in COMSOL Download Modelling the physical and chemical behaviour of magma and associated geothermal systems in COMSOL

Project #21: Modelling the propagation of fractures, such as magmatic dykes and hydrofractures - X-FEM Download Modelling the propagation of fractures, such as magmatic dykes and hydrofractures - X-FEM

Project #23: Network usage at home: the electricity footprint

Usage of Internet-connected services and devices causes about 9% of total global electricity demand.  We have regional estimates, for example in Europe video streaming is about 70% of all Internet traffic. However, we know much less about what services are used and when in homes.  We are developing a methodology (link below) to quickly gather 24-hour samples of Internet usage from homes using NetFlow. It logs the IP endpoints, time and duration of the connection, and total data sent/received.

Usage of a given service (e.g. Netflix or Facebook) involves many different IP endpoints (advertising, tracking, analytics, and metadata/control channels).  This project will work with a NetFlow dataset, to automatically group and classify the connections logged. Subclassification would also be of interest, for example "1 GB was attributable to a particular social networking service in the 24 hour sample, of which 400 MB was video and 200 MB was advertising."

https://www.it.uu.se/research/human-machine-interaction/digital-ecologies-lab/internet-microscope

For a description of the issues and challenges of attributing (based on reverse DNS lookup) and grouping NetFlow logs, have a look at sections 3.2.1.2 and 3.2.2 of this PhD thesis by Kelly Widdicks:
https://eprints.lancs.ac.uk/id/eprint/143606/1/2019widdicksphd.pdf

For an example of how well-analysed logs can lead to research outcomes, have a look at the paper by Widdicks et al. presented at the CHI conference in 2019:
https://doi.org/10.1145/3290605.3300696

Project #24: Deep learning based image segmentation for enhanced seed phenotyping Download Deep learning based image segmentation for enhanced seed phenotyping