Publications

• Is More Data Worth the Cost? Dataset Scaling Laws in Tiny Attention-Only Decoder
  Götz-Henrik Wiegand, Lorena Raichle, Rico Städeli, Tomas Hrycej, Bernhard Bermeitinger, Siegfried Handschuh
  SDS2026, 13th IEEE Swiss Conference on Data Science
  Zurich, Switzerland
  May 2026
  Scientific Talk by Götz-Henrik Wiegand
  10.1109/SDS70563.2026.00019

  paper, paper on ResearchGate

• Is More Data Worth the Cost? Dataset Scaling Laws in a Tiny Attention-Only Decoder
  Götz-Henrik Wiegand, Lorena Raichle, Rico Staedeli, Tomas Hrycej, Bernhard Bermeitinger, Siegfried Handschuh
  DATA-FM @ ICLR 2026
  Rio de Janeiro, Brazil
  April 2026
  Poster presentation by Lorena Raichle
  10.48550/arXiv.2604.09389

  paper on OpenReview, paper on ArXiv, paper on ResearchGate, poster on Zenodo

• BioMistral-Clinical: A Scalable Approach to Clinical LLMs via Incremental Learning and RAG
  Ziwei Chen, Bernhard Bermeitinger, Christina Niklaus
  IJCNLP-AACL2025, 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
  Mumbai, India
  December 2025
  Findings

  paper, paper on ResearchGate

• Interpretable type 2 diabetes incidence prediction with AutoScore: A model based on standard clinical parameters
  Andreas Leiherer, Laura Schnetzer, Sylvia Mink, Arthur Mader, Axel Mündlein, Bernhard Bermeitinger, Angela P. Moissl-Blanke, Winfried März, Angelika Hammerer-Lercher, Marcus E. Kleber, Heinz Drexel
  International Journal of Medical Informatics
  ISSN 1386-5056
  November 2025
  10.1016/j.ijmedinf.2025.106161

  paper, paper on ResearchGate

• A Convexity-dependent Two-Phase Training Algorithm for Deep Neural Networks
  Tomas Hrycej, Bernhard Bermeitinger, Massimo Pavone, Götz-Henrik Wiegand, Siegfried Handschuh
  KDIR2025, 17th International Conference on Knowledge Discovery and Information Retrieval
  Marbella, Spain
  October 2025
  Best Paper Award   Paper Presentation by Götz-Henrik Wiegand
  10.5220/0013696100004000

  paper, paper on arxiv, paper on ResearchGate, slides on Zenodo

• Subset Pretraining for Enhancing Neural Network Training Efficiency
  Bernhard Bermeitinger, Tomas Hrycej, Jan Spörer, Siegfried Handschuh
  Knowledge discovery, knowledge engineering and knowledge management, IC3K 2024
  Communications in Computer and Information Science, Volume 2703
  October 2025
  Post-Publication of Efficient Neural Network Training via Subset Pretraining
  10.1007/978-3-032-06878-1_2

  paper, paper on ResearchGate

• Machine Learning Identifies Glypican 4 as Key Predictor of 5-Year Mortality in Heart Failure Patients with Prediabetes or Diabetes
  Andreas Leiherer, Axel Muendlein, Laura Schnetzer, Sylvia Mink, Christine Heinzle, Eva Maria Brandtner, Kathrin Geiger, Stella Gaenger, Bernhard Bermeitinger, Thomas Plattner, Alexander Vonbank, Arthur Mader, Christoph H. Saely, Peter Fraunberger, Heinz Drexel
  Diabetologia (61st EASD Annual Meeting)
  New York, NY, USA
  August 2025
  10.1007/s00125-025-06497-1
• Machine Learning Predicts Type 2 Diabetes Incidence Using Basic Clinical and Laboratory Parameters
  Andreas Leiherer, Laura Schnetzer, Sylvia Mink, Arthur Mader, Axel Muendlein, Bernhard Bermeitinger, Thomas Plattner, Alexander Vonbank, Barbara Larcher, Christoph H. Saely, Peter Fraunberger, Heinz Drexel
  Diabetologia (61st EASD Annual Meeting)
  New York, NY, USA
  August 2025
  10.1007/s00125-025-06497-1
• Predicting Coronary Stenoses Using Machine Learning to Reduce Unnecessary Angiographies
  Andreas Leiherer, Laura Schnetzer, Sylvia Mink, Axel Muendlein, Bernhard Bermeitinger, Christoph H. Saely, Peter Fraunberger, Heinz Drexel
  Atherosclerosis
  Volume 407, Supplement, 119535
  August 2025
  10.1016/j.atherosclerosis.2025.119535

  abstract, abstract on ResearchGate

• Integrating the Attention Mechanism into State Space Models
  Tomas Hrycej, Bernhard Bermeitinger, Siegfried Handschuh
  SDS2025, 12th IEEE Swiss Conference on Data Science
  Zurich, Switzerland
  July 2025
  Poster Publication
  10.1109/SDS66131.2025.00033

  paper, paper on ResearchGate, poster on ResearchGate, poster on Zenodo

• 426-P: Predicting Coronary Stenoses Using Machine Learning to Reduce Unnecessary Angiographies
  Andreas Leiherer, Laura Schnetzer, Sylvia Mink, Axel Muendlein, Bernhard Bermeitinger, Thomas Plattner, Alexander Vonbank, Arthur Mader, Barbara Larcher, Christoph H. Saely, Peter Fraunberger, Heinz Drexel
  Diabetes 2025, Volume 74 (Supplement_1)
  June 2025
  Poster Presentation (by Andreas Leiherer)
  10.2337/db25-426-P

  abstract, abstract on ResearchGate

• 425-P: Machine Learning Identifies Glypican 4 as Key Predictor of Five-Year Mortality in Heart Failure Patients with Prediabetes or Diabetes
  Andreas Leiherer, Axel Muendlein, Laura Schnetzer, Sylvia Mink, Christine Heinzle, Eva Maria Brandtner, Kathrin Geiger, Stella Gaenger, Bernhard Bermeitinger, Thomas Plattner, Alexander Vonbank, Arthur Mader, Barbara Larcher, Christoph H. Saely, Peter Fraunberger, Heinz Drexel
  Diabetes 2025, Volume 74 (Supplement_1)
  June 2025
  Poster Presentation (by Andreas Leiherer)
  10.2337/db25-425-P

  abstract, abstract on ResearchGate

• 1386-P: Machine Learning Predicts T2DM Incidence Using Basic Clinical and Laboratory Parameters
  Andreas Leiherer, Laura Schnetzer, Sylvia Mink, Arthur Mader, Axel Muendlein, Bernhard Bermeitinger, Thomas Plattner, Alexander Vonbank, Barbara Larcher, Christoph H. Saely, Peter Fraunberger, Heinz Drexel
  Diabetes 2025, Volume 74 (Supplement_1)
  June 2025
  Poster Presentation (by Andreas Leiherer)
  10.2337/db25-1386-P

  abstract, abstract on ResearchGate

• Is There an Optimal Depth of Residual Networks?
  Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh
  Knowledge discovery, knowledge engineering and knowledge management, IC3K 2023
  Communications in Computer and Information Science, Volume 2454
  May 2025
  Post-Publication of Make Deep Networks Shallow Again
  10.1007/978-3-031-87569-4_5

  paper, paper on ResearchGate

• Reducing the Transformer Architecture to a Minimum
  Bernhard Bermeitinger, Tomas Hrycej, Massimo Pavone, Julianus Kath, Siegfried Handschuh
  KDIR2024, 16th International Conference on Knowledge Discovery and Information Retrieval
  Porto, Portugal
  November 2024
  Poster Presentation
  10.5220/0012891000003838

  paper, paper on ResearchGate, poster on ResearchGate, preprint, preprint on arXiv, preprint on ResearchGate

• Efficient Neural Network Training via Subset Pretraining
  Jan Spörer, Bernhard Bermeitinger, Tomas Hrycej, Niklas Limacher, Siegfried Handschuh
  KDIR2024, 16th International Conference on Knowledge Discovery and Information Retrieval
  Porto, Portugal
  November 2024
  Nominated for Best Student Paper   Paper Presentation by Jan Spörer
  10.5220/0012893600003838

  paper, paper on ResearchGate, preprint, slides on ResearchGate, preprint on arXiv, preprint on ResearchGate

• Exploring the Usefulness of Open and Proprietary LLMs in Argumentative Writing Support
  Reto Gubelmann, Michael Burkhard, Rositsa Ivanova, Christina Niklaus, Bernhard Bermeitinger, Siegfried Handschuh
  AIED2024, 25th International Conference on Artificial Intelligence in Education
  Recife, Brazil
  July 2024
  Presented by Rositsa Ivanova
  10.1007/978-3-031-64312-5_21

  paper, paper on ResearchGate

• Investigating a Second-Order Optimization Strategy for Neural Networks
  Bernhard Bermeitinger
  Universität Passau, Fakultät für Informatik und Mathematik
  Passau, Germany
  April 2024
  Published Dissertation (cumulative)

  officially at Universität Passau, on Zenodo, on ResearchGate, PDF, slides (Rigorosum) on Zenodo, slides (Rigorosum) on ResearchGate

• Make Deep Networks Shallow Again
  Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh
  KDIR2023, 15th International Conference on Knowledge Discovery and Information Retrieval
  Rome, Italy
  November 2023
  Nominated for Best Student Paper
  10.5220/0012203800003598

  paper, paper on ResearchGate, slides on ResearchGate, preprint, preprint on arXiv, preprint on ResearchGate

• FinBERT-FOMC: Fine-Tuned FinBERT Model with Sentiment Focus Method for Enhancing Sentiment Analysis of FOMC Minutes
  Sandro Gössi, Ziwei Chen, Wonseong Kim, Bernhard Bermeitinger, Siegfried Handschuh
  ICAIF2023, 4th ACM International Conference on AI in Finance
  New York, US
  November 2023
  Poster Presentation
  10.1145/3604237.3626843

  paper, on ResearchGate, poster

• Mathematical Foundations of Data Science
  Tomas Hrycej, Bernhard Bermeitinger, Matthias Cetto, Siegfried Handschuh
  Texts in Computer Science
  Springer, Cham
  April 2023
  Textbook
  10.1007/978-3-031-19074-2

  on SpringerLink, on ResearchGate

• Training Neural Networks in Single vs Double Precision
  Tomas Hrycej, Bernhard Bermeitinger, Siegfried Handschuh
  KDIR2022, 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
  Valetta, Malta
  October 2022
  Paper Presentation
  10.5220/0011577900003335

  paper, slides, on ResearchGate, preprint

• Number of Attention Heads vs Number of Transformer-Encoders in Computer Vision
  Tomas Hrycej, Bernhard Bermeitinger, Siegfried Handschuh
  KDIR2022, 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
  Valetta, Malta
  October 2022
  Paper Presentation
  10.5220/0011578000003335

  paper, slides, on ResearchGate, preprint

• How to Compute a Shape: Optical Character Recognition for Hieratic
  Bernhard Bermeitinger, Svenja A. Gülden, Tobias Konrad
  Handbook of Digital Egyptology: Texts (Monografías de Oriente Antiguo 1)
  Carlos Gracia Zamacona, Jónathan Ortiz-García (eds.)
  February 2022
  Alcalá de Henares: Editorial Universidad de Alcalá (pages 121-138), Antiguo
  10.25358/openscience-6757

  book description, chapter on ResearchGate

• Towards a Classification of Neoclassical Objects in Interior Scenes
  Simon Donig, Maria Christoforaki, Bernhard Bermeitinger, Siegfried Handschuh
  Bilddaten in den Digitalen Geisteswissenschaften
  Canan Hastik, Philipp Hegel (eds.), Berlin, Germany
  November 2020
  Book Chapter
  10.13173/9783447114608.149

  chapter, on ResearchGate

• Multimodaler Bedeutungstransfer vom Text zum Bild. Granulare Bildklassifikation durch Verteilungssemantik.
  Simon Donig, Maria Christoforaki, Bernhard Bermeitinger, Siegfried Handschuh
  DHd2020: Spielräume, Digital Humanities zwischen Modellierung und Interpretation, 7. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum"
  Paderborn, Germany
  March 2020
  Paper Presentation
  10.5281/zenodo.4621934

  paper, paper on ResearchGate, slides, translated preprint (arXiv)

• Representational Capacity of Deep Neural Networks: A Computing Study
  Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh
  KDIR2019, 11th International Conference on Knowledge Discovery and Information Retrieval
  Vienna, Austria
  October 2019
  Paper Presentation
  10.5220/0008364305320538

  paper, paper on ResearchGate, slides, preprint

• Singular Value Decomposition and Neural Networks
  Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh
  ICANN2019, 28th International Conference on Artificial Neural Networks (Deep Learning)
  Munich, Germany
  October 2019
  Presented as Poster
  10.1007/978-3-030-30484-3_13

  paper, paper on ResearchGate, poster on ResearchGate, preprint

• SemAntic: A Semantic Image Annotation Tool For The Humanities
  Simon Wagner, Simon Donig, Maria Christoforaki, Simon Donig, Bernhard Bermeitinger, Siegfried Handschuh
  DH2019, Digital Humanities 2019: Complexities
  Utrecht, Netherlands
  July 2019
  Presented as Poster
  10.5281/zenodo.8225014

  paper, poster on ResearchGate, GitLab: University Passau, GitLab: University St.Gallen

• Deep Watching: Towards New Methods of Analyzing Visual Media in Cultural Studies
  Bernhard Bermeitinger, Sebastian Gassner, Siegfried Handschuh, Gernot Howanitz, Erik Radisch, Malte Rehbein
  DH2019, Digital Humanities 2019: Complexities
  Utrecht, Netherlands
  July 2019
  Paper Presentation
  10.5281/zenodo.8224857

  paper, slides

• Vom Bild zum Text und wieder zurück
  Bernhard Bermeitinger, Simon Donig, Maria Christoforaki, Siegfried Handschuh
  DHd2019: multimedial & multimodal, 6. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum"
  Frankfurt (Main), Germany
  March 2019
  Paper Presentation
  10.5281/zenodo.4622044

  paper, paper on ResearchGate, slides on ResearchGate, book of abstracts

• A Multilingual Test Collection for the Semantic Search of Entity Categories
  Juliano Efson Sales, Siamak Barzegar, Wellington Franco, Bernhard Bermeitinger, Tiago Cunha, Brian Davis, André Freitas, Siegfried Handschuh
  LREC2018, Eleventh International Conference on Language Resources and Evaluation
  Miyazaki, Japan
  May 2018
  Paper Presentation (by Juliano Sales)

  paper, on ResearchGate

• Contextualising Bandera. Eine Distant Watching-Methode
  Bernhard Bermeitinger, Gernot Howanitz, Erik Radisch
  DHd2018: Kritik der digitalen Vernunft, 5. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum"
  Cologne, Germany
  March 2018
  Paper Presentation

  abstract on ResearchGate, slides on ResearchGate

• Bildanalyse durch Distant Viewing – Zur Identifizierung von klassizistischem Mobilar in Interieurdarstellungen
  Bernhard Bermeitinger, Simon Donig, Maria Christoforaki, Siegfried Handschuh
  DHd2018: Kritik der digitalen Vernunft, 5. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum"
  Cologne, Germany
  March 2018
  Paper Presentation
  10.5281/zenodo.4622350

  abstract on ResearchGate, slides on ResearchGate

• Object Classification in Images of Neoclassical Artifacts using Deep Learning
  Simon Donig, Maria Christoforaki, Bernhard Bermeitinger, André Freitas, Siegfried Handschuh
  DH2017, Digital Humanities 2017
  Montréal, Canada
  August 2017
  Paper Presentation
  10.48550/arXiv.1710.04943

  paper, paper on arxiv, paper on ResearchGate, slides

• Neoclassica – An Open Framework for Research in Neoclassicism
  Simon Donig, Maria Christoforaki, Bernhard Bermeitinger, Siegfried Handschuh
  DH2017, Digital Humanities 2017
  Montréal, Canada
  August 2017
  Poster Presentation

  paper, paper on ResearchGate

• A Sentence Simplification System for Improving Relation Extraction
  Christina Niklaus, Bernhard Bermeitinger, André Freitas, Siegfried Handschuh
  COLING 2016, Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
  Osaka, Japan
  December 2016
  Paper Presentation

  paper

• Object Classification in Images of Neoclassical Furniture Using Deep Learning
  Bernhard Bermeitinger, André Freitas, Simon Donig, Siegfried Handschuh
  CHDDH 2016, Computational History and Data-Driven Humanities
  Dublin, Ireland
  November 2016
  Paper Presentation (by André Freitas)
  10.1007/978-3-319-46224-0_10

  paper, book

---

Presentations

• More Efficient Neural Networks: The Trend Towards Parameter Reduction
  Bernhard Bermeitinger
  GSERM-SBB-Symposium 2026
  University of St.Gallen, St.Gallen, Switzerland
  June 2026
  Invited talk
  
  
• Effizientere Neuronale Netze: Der Trend zur Parameterökonomie
  Bernhard Bermeitinger
  37. DMAC Workshop
  St.Galler Kantonalbank, St.Gallen, Switzerland
  April 2026
  Invited talk
  
  
• Applied AI: Turning Data into Action
  Bernhard Bermeitinger
  Kaleidoskopic Patterns of Protest
  Innsbruck, Austria
  June 2025
  Invited talk
  
  
• KI im Einsatz: Aus Daten folgen Taten
  Bernhard Bermeitinger
  HSG Öffentliche Vorlesung 'Von Sensoren, KI und Kryptographie'
  St.Gallen, Switzerland
  May 2025
  Public lecture
  
  
• Von Daten zu Taten: Nachhaltige Entscheidungen durch Smart Data
  Bernhard Bermeitinger
  SAK Forum
  St.Gallen, Switzerland
  October 2024
  Invited talk during OLMA

  slides

• Chatbots für das Lernen und Bildungsinformationen
  Bernhard Bermeitinger, Siegfried Handschuh
  Fachtagung Fachinformationssystem Bildung
  Frankfurt am Main, Germany
  June 2022
  Invited talk (German)

  slides

• Lernen mit Chatbots
  Bernhard Bermeitinger, Siegfried Handschuh
  Märztagung 2022 online: Lernwelten in der digitalen Transformation – heute und in Zukunft
  Visp, Switzerland
  March 2022
  Invited talk (German)

  slides

• Deep Watching: New Methods for Analyzing Visual Media
  Bernhard Bermeitinger, Gernot Howanitz, Erik Radisch, Sebastian Gassner, Malte Rehbein, Siegfried Handschuh
  Exploring Audiovisual Composition — Images of Crisis
  Potsdam, Germany
  November 2019
  Presentation at a workshop

  slides

• AI for the historical disciplines? Epistemological value, methodological challenges, perspectives and the transformation of research practices – the Neoclassica experience.
  Simon Donig, Maria Christoforaki, Bernhard Bermeitinger, Siegfried Handschuh
  Digital Hermeneutics: From Research to Dissemination
  Washington DC, USA
  October 2019
  Presentation by Simon Donig

  slides

• Representational Capacity of Deep Neural Networks: A Computing Study
  Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh
  12th Computational Social Science Workshop
  St.Gallen, Switzerland
  October 2019
  Presentation at a workshop

  slides

• Das digitale Abbild als Interface zum Objekt
  Simon Donig, Maria Christoforaki, Bernhard Bermeitinger, Siegfried Handschuh
  XXXV. Deutscher Kunsthistorikertag 2019
  Göttingen, Germany
  March 2019
  Presentation

  slides

• Towards a Classification of Neoclassical Objects in Interior Scenes
  Simon Donig, Maria Christoforaki, Bernhard Bermeitinger, Siegfried Handschuh
  Bilddaten in den Digitalen Geistesund Kulturwissenschaften – Interoperabilität und Retrieval
  Darmstadt, Germany
  October 2017
  Workshop Presentation

  slides

• Visual Artefacts through the Black Box: Analysing Deep Learning Classifcation of Neoclassical Furniture Images
  Simon Donig, Maria Christoforaki, Bernhard Bermeitinger, Siegfried Handschuh
  (Art-)History goes Digital
  Munich, Germany
  July 2017
  Workshop Presentation

  slides

---

PCs

• ECIS2026
  34th European Conference on Information Systems
  Milan, Italy.
  June 2026
  Reviewer

• SDS2026
  13th edition of the IEEE Swiss Conference on Data Science and AI
  Zurich, Switzerland.
  May 2026
  Reviewer

• LREC2026
  17th International Conference on Language Resources and Evaluation
  Palma, Mallorca, Spain.
  May 2026
  Scientific Committee

• ItAIS2025
  22nd conference of the Italian Chapter of AIS
  Castellanza, Italy.
  October 2025
  Reviewer

• ItAIS2024
  21st conference of the Italian Chapter of AIS
  Piacenza, Italy.
  October 2024
  Reviewer

• LREC-COLING2024
  Joint International Conference on Computational Linguistics, Language Resources and Evaluation
  Turin, Italy.
  May 2024
  Program Committee

• IJHAC
  International Journal of Humanities and Arts Computing
  Journal.
  October 2023
  Peer Reviewer

• LREC2022
  13th International Conference on Language Resources and Evaluation
  Marseille, France.
  June 2022
  Scientific Committee

• ICANN2021
  The 30th International Conference on Artificial Neural Networks.
  Online.
  September 2021
  Reviewer

• IJCAI-PRICAI 2020
  International Joint Conference on Artificial Intelligence – Pacific Rim International Conference on Artificial Intelligence
  Pacifico Yokohama, Japan (Postponed due to Corona-Pandemic).
  January 2021
  Program Committee

• ICANN2020
  The 29th International Conference on Artificial Neural Networks.
  Bratislava, Slovakia (Online due to Corona-Pandemic).
  September 2020
  Reviewer

• ECAI2020
  24th European Conference on Artificial Intelligence
  Santiago de Compostela, Spain (Online due to Corona-Pandemic).
  August 2020
  Program Committee

• NLDB2020
  25th International Conference on Natural Language & Information Systems
  Saarbrücken, Germany (Online due to Corona-Pandemic).
  June 2020
  Subreviewer

• LREC2020
  12th International Conference on Language Resources and Evaluation
  Marseille, France (Cancelled due to Corona-Pandemic).
  May 2020
  Scientific Committee

• TheWebConf2020
  The Web Conference
  Taipei, Taiwan (Online due to Corona-Pandemic).
  April 2020
  Program Committee

---

Teaching

• Introduction to Big Data Infrastructures [Bachelor Computer Science, BCS]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2026-02 – 2026-05 (FS)
  Lecturer
  

• Grundlagen und Methoden der Informatik für Wirtschaftswissenschaftler [Bachelor in Betriebswirtschaftslehre, BBWL]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2026-02 – 2026-05 (FS)
  Lecturer
  

• Algorithmen & Datenstrukturen [Assessment Computer Science]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2026-02 – 2026-05 (FS)
  Lecturer
  

• Master Project [Master Computer Science, MCS]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2025-09 – 2025-12 (HS)
  Lecturer
  

• Fundamentals and Methods of Computer Science for Business Studies [Bachelor in Betriebswirtschaftslehre, BBWL]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2025-09 – 2025-12 (HS)
  Lecturer
  

• Capstone-Projekt: Unternehmerische Informatik [Bachelor in Betriebswirtschaftslehre, BBWL]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2025-09 – 2025-12 (HS)
  Lecturer
  

  Together with F Technologies

• Bachelor Project [Bachelor Computer Science, BCS]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2025-09 – 2025-12 (HS)
  Lecturer
  

  Together with RICB-Technology

• Bachelor Project [Bachelor Computer Science, BCS]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2025-09 – 2025-12 (HS)
  Lecturer
  

  Together with RobotUnits

• Bachelor Project [Bachelor Computer Science, BCS]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2025-09 – 2025-12 (HS)
  Lecturer
  

  Together with VIVIT – Vorarlberg Institute for Vascular Investigation and Treatment

• Introduction to Big Data Infrastructures [Bachelor Computer Science, BCS]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2025-02 – 2025-05 (FS)
  Lecturer
  

• Grundlagen und Methoden der Informatik für Wirtschaftswissenschaftler [Bachelor in Betriebswirtschaftslehre, BBWL]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2025-02 – 2025-05 (FS)
  Lecturer
  

• Algorithmen & Datenstrukturen [Assessment Computer Science]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2025-02 – 2025-05 (FS)
  Lecturer
  

• Integrative Master Project [Master Computer Science, MCS]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2024-09 – 2024-12 (HS)
  Lecturer
  

  Together with Vertic Greens

• Fundamentals and Methods of Computer Science for Business Studies [Bachelor in Betriebswirtschaftslehre, BBWL]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2024-09 – 2024-12 (HS)
  Lecturer
  

• Deep Learning [Master Computer Science, MCS]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2024-09 – 2024-12 (HS)
  Lecturer
  

• Capstone-Projekt: Unternehmerische Informatik [Bachelor in Betriebswirtschaftslehre, BBWL]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2024-09 – 2024-12 (HS)
  Lecturer
  

  Together with TRIDONIC

• Bachelor Project [Bachelor Computer Science, BCS]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2024-09 – 2024-12 (HS)
  Lecturer
  

  Together with VIVIT – Vorarlberg Institute for Vascular Investigation and Treatment

• Machine Learning [Bachelor in Betriebswirtschaftslehre, BBWL]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2024-02 – 2024-05 (FS)
  Lecturer
  

• Grundlagen und Methoden der Informatik für Wirtschaftswissenschaftler [Bachelor in Betriebswirtschaftslehre, BBWL]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2024-02 – 2024-05 (FS)
  Lecturer
  

• Data Science [Master Computer Science]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2023-09 – 2023-12 (HS)
  Exercises, Lecture
  

• Capstone-Projekt: Unternehmerische Informatik [Bachelor in Betriebswirtschaftslehre, BBWL]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2023-09 – 2023-12 (HS)
  Lecturer
  

  Together with illwerke vkw

• Natural Language Processing with Deep Learning [Master Computer Science]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2023-02 – 2023-05 (FS)
  Exercises, Lecture
  

• Data Science [Master Computer Science]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2022-09 – 2022-12 (HS)
  Exercises, Lecture
  

• Natural Language Processing with Deep Learning [Master Computer Science]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2022-02 – 2022-05 (FS)
  Exercises, Lecture
  

• Fundamentals and Methods of Computer Science for Business Studies [Bachelor in Betriebswirtschaftslehre, BBWL]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2021-09 – 2021-12 (HS)
  Tutor, Coaching
  

• Data Science [Master Computer Science]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2021-09 – 2021-12 (HS)
  Exercises, Lecture
  

• Grundlagen und Methoden der Informatik für Wirtschaftswissenschaftler [Bachelor in Betriebswirtschaftslehre, BBWL]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2021-02 – 2021-08 (FS)
  Teaching Assistant, Tutor, and Coaching
  

• Einführung in Text Mining mit Python [Master Business Innovation, MBI]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2021-02 – 2021-08 (FS)
  Tutor, Lecturer
  

• Fundamentals and Methods of Computer Science for Business Studies [Bachelor in Betriebswirtschaftslehre, BBWL]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2020-09 – 2020-12 (HS)
  Tutor, Coaching
  

• Einführung in Text Mining mit Python [Master Business Innovation, MBI]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2020-09 – 2020-12 (HS)
  Tutor, Lecturer
  

• Grundlagen und Methoden der Informatik für Wirtschaftswissenschaften [Bachelor in Betriebswirtschaftslehre, BBWL]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2020-02 – 2020-08 (FS)
  Tutor
  

• Einführung in Text Mining mit Python [Master Business Innovation, MBI]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2020-02 – 2020-08 (FS)
  Tutor, Lecturer
  

• Fundamentals and Methods of Computer Science for Business Studies [Bachelor in Betriebswirtschaftslehre, BBWL]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2019-09 – 2019-12 (HS)
  Tutor
  

• Einführung in Text Mining mit Python [Master Business Innovation, MBI]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2019-09 – 2019-12 (HS)
  Tutor, Lecturer
  

• Einführung in Text Mining mit Python [Master Business Innovation, MBI]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2019-02 – 2019-05 (FS)
  Tutor, Lecturer
  

• Einführung in Text Mining mit Python [Master Business Innovation, MBI]
  University of St.Gallen (HSG), St.Gallen, Switzerland.
  2018-09 – 2018-12 (HS)
  Tutor, Lecturer
  

• Text Mining [Master Informatik]
  University Passau, Passau, Germany.
  2018-04 – 2018-09 (SS)
  Tutor, Lecturer
  

---

Impress

Dr. Bernhard Bermeitinger
Bettenwiesenstrasse 4
9300 Wittenbach, SG
Schweiz

research.bermeitinger@gmail.com