Matthias Miller

Background

I was born in Heilbronn-Neckargartach and grew up in Lauffen, a small city with beautiful vineyards in Baden-Württemberg, Germany. In 2011, I moved to Konstanz, located at the border to Switzerland, to study Computer Science. I completed my Bachelor's degree in 2016 () and my Master's degree in 2018 (). Immediately after my graduate studies, I started my PhD which I completed by April 2024.

During my time in Konstanz I met my gorgeous Céline, whom I got marred to in 2019. As of today, we located to Allensbach, a pretty town, with the Bodensee and the Alps around the corner, where we don't plan to leave very soon =).

By end of March 2024, I completed my role as Research Associate in the Data Analysis and Visualization Group at the University of Konstanz. I completed my Ph.D. (Dr. rer. nat.) with my Doctoral Defense on May 24, 2024, defending my dissertation titled "Visual Sheet Music Analytics".

In the meantime, I started to work as Research Engineer, IT Coordinator, and now also PostDoc as part of the IVIA Lab at ETH Zurich.

  • Age 32
  • Residence Konstanz, Germany
  • e-mail mail@matthiasmiller.me

What I Do

Volunteering

As a musician, I am volunteering at a local church, playing the (electric) guitar and the piano, leading the musical session as a music director. I am also working within our Youth community. Already during my Bachelor studies, I was already volunteering in a university group (SMD Konstanz) as a musician and organizer of events.

Web Design

I create multiple websites for businesses such as HolzAllee and 7Traxx. I also created NashvilleChords helping musicians to play songs more easily, without the need to identify repetitive parts in a song, which is very tedious when done manually.

Scientific Writing

As part of my doctoral studies, I published many scientific papers. These contain current research about different topics. You can find all my publications here.

Making Music

I love to make music and play my instruments. I play the piano since I am twelve years old and I play the guitar not much less years. Originally, I started playing the accordion when I was six years old. In my PhD, I eventually had the chance to combine my passion about music with computer science resulting in my dissertation 'Visual Sheet Music Analytics'.

Fun Facts

Projects

5

Favorite Number

22

Resumé

Education

2018 - 2024
University of Konstanz

Doctoral Studies

Research Associate & PhD Candidate
at the Data Analysis and Visualization Group of Prof. Dr. Daniel Keim.

Thesis: "Visual Sheet Music Analytics" PDF (100 MB)
Date of Doctoral Defense: May 24, 2024
Recording of Presentation: Doctoral Defense Talk on YouTube

2016 - 2018
University of Konstanz

Master of Science

Visual Analytics of Spatio-Temporal Event Predictions: Investigating Causes for Urban Heat Islands PDF
Grade Point Average — 1.2

2011 - 2016
University of Konstanz

Bachelor of Science

Two Semesters Abroad at the University of Akron in Ohio, US (2014 - 2015)
Collaborative Object Positioning in Physically Separate Mixed Reality Environments PDF
Grade Point Average — 1.7

2002 - 2011
Hölderlin Gymnasium Lauffen

German International Abitur

Majors: Mathematics, German, English, Music, Physics
Grade Point Average — 2.1

Experience

2024 - Today
ETH Zurich

PostDoc Position

PostDoc, Research Engineer, & IT Coordinator
at the IVIA Lab of Prof. Dr. Mennatallah El-Assady.

2021 - 2023
Steinbeis Competence Center

Data Analytics Consultant

Self-employed working as Data Analytics Consultant for EBZ Gruppe Ravensburg through the Steinbeis Competence Center for Interactive Data Analysis and Visualization.

2015 - 2018
HeartsArt

Co-Founder / Developer

Development of HeartsArt, a market platform enabling painters and artists to present and share their artworks. HeartsArt was acquired in 2019. The original project is available on WebArchive (heartsart.de).

2015 - 2018
University of Konstanz

Scientific Assistant / Developer

Programming: Visualization of a Data Analysis Application called EduClust for Clustering Algorithms using D3 JavaScript Library and CSS/HTML

2013 - 2014
University of Konstanz

Teaching Assistance / Tutor

Correction & Implementation of Tutorials. Tutor for Computer Science I module (Computer Science Concepts & Object-Oriented Programming in Java) and Computer Science II module (Concepts of Programming - Functional Programming using Haskell as programming language).

Coding Skills

Python

95%

JavaScript

95%

C#

90%

Java

90%

TypeScript

70%

HTML/CSS

95%

PHP

80%

Bash

85%

Haskell

60%

Knowledge

  • Data Visualization
  • Visual Analytics
  • Programming
  • Machine Learning
  • Software Architecture
  • Geo-Temporal Visualization
  • Deep Learning
  • Data Analysis
  • Clustering
  • Classification
  • Algorithms
  • Visual Musicology

Further Interests

  • Programming
  • Piano
  • Music Theory
  • Skiing
  • Reading
  • Technological Progress
  • Artificial Intelligence
  • Smart Home
  • Swimming
  • Acoustic Guitar
  • Electric Guitar
  • Accordion
  • Solar Power
  • Singing
  • Physics
  • Prompt Engineering

Publications

MULTI-CASE: A Transformer-based Ethics-aware Multimodal Investigative Intelligence Framework

Maximilian T. Fischer, Y. Metz, L. Joos, M. Miller, Daniel A. Keim

arXiv | Computer Science > Human-Computer Interaction

Visualization of COVID-19 Incidences and Treatment Capacities with CoronaVis

W. Jentner, F. Sperrle, D. Seebacher, M. Kraus, R. Sevastjanova, M. T. Fischer, U. Schlegel, D. Streeb, M. Miller, T. Spinner, E. Cakmak, M. Sharinghousen, P. Meschenmoser, J. Görtler, O. Deussen, F. Stoffel, H.-J. Kabitz, D. A. Keim, M. El-Assady, J. F. Buchmüller

Proc. of the Workshop on Visualization for Pandemic and Emergency Responses (Vis4PandEmRes), 2023

SkiVis: Visual Exploration and Route Planning in Ski Resorts

J. Rauscher, R. Buchmüller, D. A. Keim, and M. Miller

IEEE Transactions on Visualization and Computer Graphics

FS/DS: A Theoretical Framework for the Dual Analysis of Feature Space and Data Space

F. L. Dennig, M. Miller, D. A. Keim, and M. El-Assady

IEEE Transactions on Visualization and Computer Graphics

Doom or Deliciousness: Challenges and Opportunities for Visualization in the Age of Generative Models

V. Schetinger, S. Di Bartolomeo, M. El-Assady, A. McNutt, M. Miller, J. P. A. Passos, J. L. Adams

Computer Graphics Forum, 2023

Visualisierung der COVID-19-Inzidenzen und Behandlungskapazitäten mit CoronaVis

W. Jentner, F. Sperrle, D. Seebacher, M. Kraus, R. Sevastjanova, M. T. Fischer, U. Schlegel, D. Streeb, M. Miller, T. Spinner, E. Cakmak, M. Sharinghousen, P. Meschenmoser, J. Görtler, O. Deussen, F. Stoffel, H.-J. Kabitz, D. A. Keim, M. El-Assady, J. F. Buchmüller

Resilienz und Pandemie : Handlungsempfehlungen anhand von Erfahrungen mit COVID-19. Kohlhammer Verlag, pp. 176-189, 2022.

Promoting Ethical Awareness in Communication Analysis: Investigating Potentials and Limits of Visual Analytics for Intelligence Applications

M. T. Fischer, S. D. Hirsbrunner, W. Jentner, M. Miller, D. A. Keim, P. Helm

Proceedings of FAcct '22 : 2022 ACM Conf. on Fairness, Accountability, and Transparency, 2022

CorpusVis: Visual Analysis of Digital Sheet Music Collections

M. Miller, J. Rauscher, D. A. Keim, M. El-Assady

Computer Graphics Forum, 2022

Augmenting Digital Sheet Music through Visual Analytics

M. Miller, D. Fürst, H. Hauptmann, D. A. Keim, M. El-Assady

Computer Graphics Forum, 2022

GraphStateVis: Interactive Visual Analysis of Qubit Graph States and their Stabilizer Groups

M. Miller, D. Miller

IEEE Int. Conf. on Quantum Computing and Engineering (QCE), 2021

Teaching Clustering Algorithms With EduClust: Experience Report and Future Directions

J. Fuchs, P. Isenberg, A. Bezerianos, M. Miller, D. A. Keim

IEEE Computer Graphics and Applications, 2020

Toward Mass Video Data Analysis: Interactive and Immersive 4D Scene Reconstruction

M. Kraus, T. Pollok, M. Miller, T. Kilian, T. Moritz, D. Schweitzer, J. Beyerer, D. A. Keim, C. Qu, W. Jentner

Sensors; Special Issue Selected Papers from the Int. Conf. on Imaging for Crime Detection and Prevention, 2020

Augmenting Sheet Music with Rhythmic Fingerprints

D. Fürst, M. Miller, D. A. Keim, A. Bonnici, H. Schäfer, M. El-Assady

Proc. of the Workshop on Visualization for the Digital Humanities (VIS4DH) at IEEE VIS 2020

Breaking the Curse of Visual Analytics: Accommodating Virtual Reality in the Visualization Pipeline

M. Kraus, M. Miller, J. Buchmüller, M. Stein, N. Weiler, D. A. Keim, M. El-Assady

In Computer Vision, Imaging and Computer Graphics Theory and Applications. VISIGRAPP 2019. Communications in Computer and Information Science, Vol 1182. Springer, 2020

Computer Vision Meets Visual Analytics: Enabling 4D Crime Scene Investigation from Image and Video Data

T. Pollok, M. Kraus, C. Qu, M. Miller, T. Moritz, T. Kilian, D. A. Keim, W. Jentner

Int. Conf. on Imaging for Crime Detection and Prevention (ICDP-2019)

The Future of Crime Scene Investigation

T. Pollok, M. Kraus, C. Qu, M. Miller, T. Moritz, T. Kilian, D. A. Keim, W. Jentner

VICTORIA International Conference: Improving Video Analysis for a Safer Europe, ICDP 2019, London

Visual Pattern Analysis using Digital Sheet Music

M. Miller, H. Schäfer, A. Bonnici, M. El-Assady

Late Breaking/Demos of the International Conference on Music Information Retrieval (ISMIR) 2019

Framing Visual Musicology through Methodology Transfer

M. Miller, H. Schäfer, M. Kraus, M. Leman, D. A. Keim, M. El-Assady

Proceedings of the Workshop on Visualization for the Digital Humanities (VIS4DH) at IEEE VIS 2019

Evaluating Ordering Strategies of Star Glyph Axes

M. Miller, X. Zhang, J. Fuchs, M. Blumenschein

Proceedings of the IEEE Visualization Conference (VIS), 2019

Augmenting Music Sheets with Harmonic Fingerprints (Best Paper Award)

M. Miller, A. Bonnici, M. El-Assady

The 19th ACM Symposium on Document Engineering, 2019

Visual Analytics of Volunteered Geographic Information: Detection and Investigation of Urban Heat Islands

D. Seebacher, M. Miller, T. Polk, J. Fuchs, D. A. Keim

IEEE Computer Graphics and Applications, 2019

EduClust - A Visualization Application for Teaching Clustering Algorithms

J. Fuchs, P. Isenberg, A. Bezerianos, M. Miller, D. A. Keim

Eurographics 2019 - Education Papers, 2019

Interactive Classification Using Spectrograms and Audio Glyphs

E. Cakmak, U. Schlegel, M. Miller, J. Buchmüller, W. Jentner, D. A. Keim

IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2018 MC1), 2018

Analyzing Visual Mappings of Traditional and Alternative Music Notation

M. Miller, J. Häußler, M. Kraus, D. A. Keim, M. El-Assady

Proc. of the Workshop on Visualization for the Digital Humanities (VIS4DH) at IEEE VIS 2018

Hexagon Grid of Visual Musicology

Linktree   At the Interface of Musicology and Visual Analytics  PDF


CorpusVis: Visual Analysis of Digital Sheet Music Collections

M. Miller, J. Rauscher, D. A. Keim, M. El-Assady

Computer Graphics Forum, 2022

Augmenting Digital Sheet Music through Visual Analytics

M. Miller, D. Fürst, H. Hauptmann, D. A. Keim, M. El-Assady

Computer Graphics Forum, 2022

Augmenting Sheet Music with Rhythmic Fingerprints

D. Fürst, M. Miller, D. A. Keim, A. Bonnici, H. Schäfer, M. El-Assady

Proc. of the Workshop on Visualization for the Digital Humanities (VIS4DH) at IEEE VIS 2020

Framing Visual Musicology through Methodology Transfer

M. Miller, H. Schäfer, M. Kraus, M. Leman, D. A. Keim, M. El-Assady

Proceedings of the Workshop on Visualization for the Digital Humanities (VIS4DH) at IEEE VIS 2019

Augmenting Music Sheets with Harmonic Fingerprints (Best Paper Award)

M. Miller, A. Bonnici, M. El-Assady

The 19th ACM Symposium on Document Engineering, 2019

Analyzing Visual Mappings of Traditional and Alternative Music Notation

M. Miller, J. Häußler, M. Kraus, D. A. Keim, M. El-Assady

Proc. of the Workshop on Visualization for the Digital Humanities (VIS4DH) at IEEE VIS 2018

Projects

NashvilleChords

NashvilleChords

Detailed
GraphStateVis

GraphStateVis

Detailed
CorpusVis

CorpusVis

Detailed
MusicVis

MusicVis

Detailed
EduClust

EduClust

Detailed
Visual Musicology Graph

Visual Musicology Graph

Detailed