Dr. Charilaos (Harry) Mylonas
Dr. Charilaos (Harry) Mylonas
Home
Posts
Publications
Talks
CV
Recent & Upcoming Talks
2022
A primer on Graph Neural Networks and Applications
Presented a 1 hour tutorial on graph neural networks and their applications (including a worked-out example for Blockchain analytics)
Mar 28, 2022 1:00 PM — 3:00 PM
Online
2021
Invited talk on Uncertainty, Deep Learning, and Graph Networks at RSUQ group @ ETH
Gave an extended version of my PhD presentation at the RSUQ group
Oct 28, 2021 1:00 PM — 3:00 PM
Charilaos Mylonas
Slides
Passed the Ph.D. defence (viva) with no corrections
PhD Defence passed!
Sep 28, 2021 1:00 PM — 3:00 PM
Charilaos Mylonas
Invited talk on GNNs and Bayesian DL in computational science
Delivered a presentation on my Graph Net and Bayesian Deep Learning work on crack detection and farm-level turbine interactions.
Sep 1, 2021 2:00 PM — 3:00 PM
ETH Zurich
Slides
39th IMAC - 2 GNN contributions, 1 Best Paper award!
Conference presentations on 2 works based on GNNs
Feb 1, 2021 1:00 PM — 3:00 PM
PDF
2020
tf_gnns release
Released my tensorflow/keras Graph Networks library.
Dec 11, 2020 1:00 PM — Nov 1, 2020 3:00 PM
Code
Co-organized the Inaugural Workshops for the Data Science Community of Practice at ETH-DBAUG
established and co-organized a community of pratice for data science in engineering.
Oct 14, 2020
Online
SWICCOMMAS Poster - Anchor fatigue and adversarial regularization
Presented a poster on adversarial regularization for dealing with small experimental sample sizes.
Feb 1, 2020 1:00 PM — 3:00 PM
PDF
38th IMAC 2020 Presentation on Pattern Recognition for Interpreting Engineering Experiments
Conference presentation on using Autoencoders for interpreting load-displacement curves.
Feb 1, 2020 1:00 PM — 3:00 PM
PDF
2019
Mentored the Metomatics challenge team (using GANs for weather interpolation). Later featured at ETH News.
Guided and provided starter code for junior PhD students into using pre-trained GANs for frame interpolation for weather data interpolation.
Oct 28, 2019 1:00 PM — 3:00 PM
ETH Zurich
Awarded scholarship to attend SIAM-G2S3 on High Performance Data Analytics!
summerschool with poster session
Jun 17, 2019 1:00 PM — Jun 28, 2019 3:00 PM
Paul Langevin center at Aussios
PDF
IMAC 2019 Presentation on Conditional Generative Models (CVAEs) for Wind Farms
Conference presentation - VAEs for windfarms
Feb 1, 2019 1:00 PM — 3:00 PM
Rosen Inn hotel
2018
Fit first, ask questions later: Interpretable Unsupervised Learning for High-Volume, High-Dimensional Data in Engineering.
Invited talk to RSUQ seminar
Dec 19, 2018 1:00 PM — 3:00 PM
Crack Detection using Spatiotemporal Pattern Recognition
Using simulations, I implemented an original sequential MC approach together with some prior strain pattern extraction with PCA to the problem of crack detection.
Jun 15, 2018 1:00 PM — 3:00 PM
MIT
Slides
2017
Surrogate Modelling For Fatigue Damage of Wind-Turbine Blades Using Polynomial Chaos Expansions And Non-Negative Matrix Factorization
Presented my first conference paper!
Sep 13, 2017 1:00 PM — 3:00 PM
Multiscale surrogate Modeling and Uncertainty Quantification for Periodic Composite Structures
Work on using orthogonal polynomials and PCA to create surrogate models for mechanical properties of composites.
Jun 15, 2017 1:00 PM — 3:00 PM
PDF
Cite
×