Skip to main content

Poster Festival

Nominations for the poster exhibition

All heads of division have nominated doctoral students from their division for the poster exhibition. 

Two winning doctoral students will receive a prize of 15 000 SEK conference/travel grant. A jury will select the best posters with respect to three criteria:

  1. innovative design,
  2. clarity and communication qualities,
  3. and accessibility for a broad audience.

Poster festival

When: 8 June, 14:30 - 16:00 (the posters will be at display until 17:30).

Where: Outside F1.

Nominated doctoral students

Harald

Harald Ng

Efficient Replication for Data-Intensive Systems

Investigating context- and data-driven replication protocols that can withstand extreme failure conditions and self-improve to encompass the dynamic infrastructure and application workloads of today. 

Kerem Kaya

Towards Autonomous Programmable Matter: Phase Change Pumping Enables Free Shape Transfiguration of Solid Objects

We program contact-free shape-changing and locomotion of solid objects with sub-mm resolution and full shape freedom, enabling the transfiguration of objects to any shape desired.

Kerem Kaya 

Theocharis Nikiforos Iordanidis

3D Spike Microparticles Enhance Transdermal Drug Delivery

We present the design, fabrication and testing of 3D micro-particles for the painless puncture of the stratum corneum to enhance drug delivery through the skin.

Theocharis Nikiforos Iordanidis

Jacob Wahlgren

HPC Applications on Disaggregated Memory Systems

Main memory is becoming a large cost in parallel computing, while also being underutilized. Disaggregated memory is a new approach, flexibly providing memory on-demand instead.

Jacob Wahlgren

Rajmund Nagy

Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion Models

A denoising diffusion model for generating dancing and gesturing for a given audio recording, demonstrating top-of-the-line motion quality, with distinctive styles whose expression can be made more or less pronounced.

Rajmund Nagy

Jiahui Liu

The Flettner Rotor: Leveraging the Magnus Effect for Sustainable Transport

A simulation using NEKO, a Fortran-based solver with GPU support, visualises the flow around a Flettner Rotor, explaining its fuel-saving propulsion for ships, up to 15 percent reduction.

Jiahui Liu

Long Zhang

Björn Zaar

Integration of Antenna and Plasma Modelling for Radio Frequency Heating of Fusion Plasmas

Novel method that accounts for spatial dispersion when modelling RF heating of fusion plasmas, allowing for integration of antenna modelling and detailed plasma physics.

Mojtaba Eshghibe

Hampus Nyström

Pedestal physics and its role in fusion energy

Improving pedestal predictions by inclusion of resistive terms in the MHD equations.

Frank Jiang

Frank Jiang

An Intuitive and Safe Approach to Automating Vehicles

Combining human-centric behavior design tools with control-theoretic computational techniques for an automation design pipeline that is easy for humans to use while providing strong safety guarantees for the automated vehicle.

Joana Filipa Gouveia Fonseca

Joana Filipa Gouveia Fonseca

Water quality monitoring using underwater robots in the archipelago

Stockholm archipelago is polluted with algal blooms, and current methods for collecting water quality data are costly. We propose underwater robots to guarantee safe and clean water for all.

Fereidoon Zangeneh Kamali

Fereidoon Zangeneh Kamali

Probabilistic Visual Localization

We propose a probabilistic framework for visual localization in ambiguous scenes. For a given image our pipeline predicts the posterior distribution of its camera pose, which is beneficial for the navigation of autonomous robots.

Matti Vahs

Matti Vahs

Belief Control Barrier Functions for Risk-aware Control

My research interests focus on risk-aware motion planning and control with application to mobile robotics. Specifically, I am currently working on methods for motion planning and control that take into consideration the uncertainty arising from state estimation modules such as Kalman filters or particle filters.

Borja Rodriguez Galvez

Borja Rodriguez Galvez

Theoretical guarantees of AI models

Deriving new theory to establish the minimum conditions under which AI models are guaranteed to achieve a specified performance with high probability.

Sara Saeidian

Sara Saeidian

PML: Robust, Flexible, and Explainable Privacy

Assessing privacy in data analytics by quantifying inference risks against (a) adversaries trying to guess features of the private data, and (b) adversaries trying to maximize arbitrary gain functions.

Shiqian Chen and Zheng Li

A Micro-supercapacitor for efficient high-power instantaneous energy harvesting

A scalable printed micro-supercapacitor has been developed on paper with superior rate capability and high capacitance simultaneously, achieving an exceptional efficiency in high-power instantaneous energy harvesting from the rain drops.

Marika Jonsson

Marika Jonsson

Co-designing with users with lived experience of impairment – a way to enhance an accessible user experience

Together with users with lived experience of impairment we co-designed a prototype for enhanced cognitive accessibility using the patient portal 1177.se as case. The prototype is analysed with ISO 21801 to validate if we succeeded. 

Andreas Lindegren

Andreas Lindegren

PhD Candidate in interaction design

Andreas Lindegren is a doctoral candidate in interaction design. He is doing work in physical interactions with the digital, how preciousness and aesthetics, mediated through material and interactive qualities, affect us and our relationship with the computers and systems embedded in our lives.

Gustaf Falk Olson

Gustaf Falk Olson

Modelling and Parameter Estimation of Variable Phase-Pole Induction Machines Using a Reduced Set of Standard Test

Proposing a parameter estimation method for a coherent model of variable phase-pole machines by means of a reduced set of familiar standard tests.

Sonia

Sonia-Florina Horchidan

Empowering Graph Queries through Inference

Exploring a paradigm shift in graph databases, using AI to achieve deep reasoning on incomplete data at lightning speeds without traversing data.

Manuel Agredano Torres

Dynamic power allocation control for frequency regulation using hybrid electrolyzer systems

Studying the combination of different electrolyzer technologies for a cost effective hybrid hydrogen system, which is able to provide fast response for grid services in power systems with high penetration of renewable energies.