Manuel Widmoser

Introduction

I work as a Software Engineer at Snke OS in Munich, Germany. I received my PhD in Computer Science from the University of Salzburg, Austria, where I worked with Prof. Nikolaus Augsten as part of the Database Research Group. The title of my thesis is Scaling Similarity Queries to Massive Datasets, which covers efficient indexing structures for the disaggregated memory architecture in the context of large-scale similarity search.

Short Bio
Education
10/2021 - 10/2025 PhD, Computer Science University of Salzburg
10/2018 - 08/2021 Master's, Computer Science University of Salzburg
02/2019 - 07/2019 Exchange Semester Tel Aviv University
10/2015 - 08/2018 Bachelor's, Computer Science University of Salzburg
Experience
since 02/2026 Software Engineer Snke OS
10/2021 - 09/2025 Research Assistant University of Salzburg
02/2021 - 05/2022 Working Student (Software Engineering) Celonis SE
07/2020 - 01/2021 Project Assistant University of Salzburg
10/2017 - 06/2020 Teaching Assistant University of Salzburg
08/2019 - 09/2019 Visiting Scholar, GoBoiler Intern
Hosts: Dan Goldwasser, Jean Honorio
Purdue University
07/2018 - 09/2018 Internship R&D Authentic Vision GmbH
Publications
  1. SHINE: A Scalable HNSW Index in Disaggregated Memory
    M. Widmoser, D. Kocher, N. Augsten
    Submitted, 2025.

  2. Scalable Distributed Inverted List Indexes in Disaggregated Memory
    M. Widmoser, D. Kocher, N. Augsten
    International Conference on Management of Data (SIGMOD), 2024.

  3. MetricJoin: Leveraging Metric Properties for Robust Exact Set Similarity Joins
    M. Widmoser, D. Kocher, N. Augsten, W. Mann
    IEEE International Conference on Data Engineering (ICDE), 2023.

  4. Randomized Deep Structured Prediction for Discourse-Level Processing
    M. Widmoser, M.L. Pacheco, J. Honorio, D. Goldwasser
    European Chapter of the Association for Computational Linguistics (EACL), 2021.
    Also presented at EMNLP Workshop on Structured Prediction for NLP, 2020.

  5. Selfie: Towards Minimal Symbolic Execution
    A.S. Abyaneh, S. Bauer, C.M. Kirsch, P. Mayer, C. Mösl, C. Poncelet, S. Seidl, A. Sokolova, M. Widmoser
    Workshop on Modern Language Runtimes, Ecosystems, and VMs (MoreVMs), 2018.
Teaching