5 Search Results for "Buchholz, Peter"

Document
DOI: 10.4230/OASIcs.SpaceCHI.2025.18
Advancing Intelligent Personal Assistants for Human Spaceflight

Authors: Leonie Bensch, Oliver Bensch, and Tommy Nilsson

Published in: OASIcs, Volume 130, Advancing Human-Computer Interaction for Space Exploration (SpaceCHI 2025)

Abstract
The Artemis program and upcoming missions to Mars mark a new era of human space exploration that will require new tools to support astronaut autonomy in the absence of real-time communication with Earth. This paper investigates the role of voice-based intelligent personal assistants (IPAs) in future crewed space missions. Through semi-structured interviews with astronauts (n=3) and spaceflight experts (n=12), we identify key user-centered design requirements for IPAs in this uniquely constrained and safety-critical environment. Our thematic analysis reveals core requirements for flexibility, reliability, offline capability, and multimodal interaction. Drawing on these findings, we outline design guidelines for next-generation IPAs and discuss how technologies such as retrieval-augmented generation (RAG), knowledge graphs, and augmented reality should be combined to support flexible, reliable, and multimodal IPAs for future human spaceflight missions.
Cite as

Leonie Bensch, Oliver Bensch, and Tommy Nilsson. Advancing Intelligent Personal Assistants for Human Spaceflight. In Advancing Human-Computer Interaction for Space Exploration (SpaceCHI 2025). Open Access Series in Informatics (OASIcs), Volume 130, pp. 18:1-18:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

Copy BibTex To Clipboard

@InProceedings{bensch_et_al:OASIcs.SpaceCHI.2025.18,
  author =	{Bensch, Leonie and Bensch, Oliver and Nilsson, Tommy},
  title =	{{Advancing Intelligent Personal Assistants for Human Spaceflight}},
  booktitle =	{Advancing Human-Computer Interaction for Space Exploration (SpaceCHI 2025)},
  pages =	{18:1--18:18},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-384-3},
  ISSN =	{2190-6807},
  year =	{2025},
  volume =	{130},
  editor =	{Bensch, Leonie and Nilsson, Tommy and Nisser, Martin and Pataranutaporn, Pat and Schmidt, Albrecht and Sumini, Valentina},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SpaceCHI.2025.18},
  URN =		{urn:nbn:de:0030-drops-240082},
  doi =		{10.4230/OASIcs.SpaceCHI.2025.18},
  annote =	{Keywords: Conversational Assistant, Intelligent Personal Assistant, Artificial Intelligence, Astronaut, Human Spaceflight, Generative Pre-Trained Transformer (GPT), Retrieval Augmented Generation (RAG), Knowledge Graphs, Augmented Reality, Voice Assistant, Long Duration Spaceflight}
}
Document
DOI: 10.4230/LIPIcs.WABI.2025.11
Mutational Signature Refitting on Sparse Pan-Cancer Data

Authors: Gal Gilad, Teresa M. Przytycka, and Roded Sharan

Published in: LIPIcs, Volume 344, 25th International Conference on Algorithms for Bioinformatics (WABI 2025)

Abstract
Mutational processes shape cancer genomes, leaving characteristic marks that are termed signatures. The level of activity of each such process, or its signature exposure, provides important information on the disease, improving patient stratification and the prediction of drug response. Thus, there is growing interest in developing refitting methods that decipher those exposures. Previous work in this domain was unsupervised in nature, employing algebraic decomposition and probabilistic inference methods. Here we provide a supervised approach to the problem of signature refitting and show its superiority over current methods. Our method, SuRe, leverages a neural network model to capture correlations between signature exposures in real data. We show that SuRe outperforms previous methods on sparse mutation data from tumor type specific data sets, as well as pan-cancer data sets, with an increasing advantage as the data become sparser. We further demonstrate its utility in clinical settings.
Cite as

Gal Gilad, Teresa M. Przytycka, and Roded Sharan. Mutational Signature Refitting on Sparse Pan-Cancer Data. In 25th International Conference on Algorithms for Bioinformatics (WABI 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 344, pp. 11:1-11:23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

Copy BibTex To Clipboard

@InProceedings{gilad_et_al:LIPIcs.WABI.2025.11,
  author =	{Gilad, Gal and Przytycka, Teresa M. and Sharan, Roded},
  title =	{{Mutational Signature Refitting on Sparse Pan-Cancer Data}},
  booktitle =	{25th International Conference on Algorithms for Bioinformatics (WABI 2025)},
  pages =	{11:1--11:23},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-386-7},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{344},
  editor =	{Brejov\'{a}, Bro\v{n}a and Patro, Rob},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.WABI.2025.11},
  URN =		{urn:nbn:de:0030-drops-239374},
  doi =		{10.4230/LIPIcs.WABI.2025.11},
  annote =	{Keywords: mutational signatures, signature refitting, cancer genomics, genomic data analysis, somatic mutations}
}
Document
DOI: 10.4230/LIPIcs.ECRTS.2025.18
Per-Flow Performance Guarantees in Networked Systems with Complex Feedback Structures

Authors: Anja Hamscher, Lukas Wildberger, and Jens Schmitt

Published in: LIPIcs, Volume 335, 37th Euromicro Conference on Real-Time Systems (ECRTS 2025)

Abstract
Many modern networked real-time systems encompass complex feedback structures and require stringent timing guarantees, especially bounds on the network delay. Network Calculus (NC) is a versatile methodology to compute such performance guarantees per individual flow; in particular, some fundamental results on how to deal with feedback exist. Yet, these are restricted to simple feedback structures and are mostly constrained to an analysis at the aggregate level (not per flow). In our work, we analyze more complex feedback structures than previously investigated by reducing them to canonical structures. We transform these closed-loop systems (with feedback) into open-loop systems (without feedback) and, subsequently, perform a per-flow analysis exploiting very recent NC results on per-flow performance guarantees. In a numerical experiment, we compare our new method to the current state-of-the-art which only allows for an aggregate FIFO analysis. We also compute how feedback constraints need to be allocated to ensure that a feedback system provides the same service as the system without feedback, in a sense providing for an optimal control. Furthermore, we compare different allocation strategies under a fixed budget for the feedback constraints.
Cite as

Anja Hamscher, Lukas Wildberger, and Jens Schmitt. Per-Flow Performance Guarantees in Networked Systems with Complex Feedback Structures. In 37th Euromicro Conference on Real-Time Systems (ECRTS 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 335, pp. 18:1-18:25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

Copy BibTex To Clipboard

@InProceedings{hamscher_et_al:LIPIcs.ECRTS.2025.18,
  author =	{Hamscher, Anja and Wildberger, Lukas and Schmitt, Jens},
  title =	{{Per-Flow Performance Guarantees in Networked Systems with Complex Feedback Structures}},
  booktitle =	{37th Euromicro Conference on Real-Time Systems (ECRTS 2025)},
  pages =	{18:1--18:25},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-377-5},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{335},
  editor =	{Mancuso, Renato},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2025.18},
  URN =		{urn:nbn:de:0030-drops-235961},
  doi =		{10.4230/LIPIcs.ECRTS.2025.18},
  annote =	{Keywords: Real-Time Networks, Network Calculus, Feedback Control}
}
Document
DOI: 10.4230/DagSemProc.09261.23
Optimization of Stochastic Discrete Event Simulation Models

Authors: Peter Buchholz

Published in: Dagstuhl Seminar Proceedings, Volume 9261, Models and Algorithms for Optimization in Logistics (2009)

Abstract
Many systems in logistics can be adequately modeled using stochastic discrete event simulation models. Often these models are used to find a good or optimal configuration of the system. This implies that optimization algorithms have to be coupled with the models. Optimization of stochastic simulation models is a challenging research topic since the approaches should be efficient, reliable and should provide some guarantee to find at least in the limiting case with a runtime going to infinite the optimal solution with a probability converging to 1. The talk gives an overview on the state of the art in simulation optimization. It shows that hybrid algorithms combining global and local optimization methods are currently the best class of optimization approaches in the area and it outlines the need for the development of software tools including available algorithms.
Cite as

Peter Buchholz. Optimization of Stochastic Discrete Event Simulation Models. In Models and Algorithms for Optimization in Logistics. Dagstuhl Seminar Proceedings, Volume 9261, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

Copy BibTex To Clipboard

@InProceedings{buchholz:DagSemProc.09261.23,
  author =	{Buchholz, Peter},
  title =	{{Optimization of Stochastic Discrete Event Simulation Models}},
  booktitle =	{Models and Algorithms for Optimization in Logistics},
  pages =	{1--6},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9261},
  editor =	{Cynthia Barnhart and Uwe Clausen and Ulrich Lauther and Rolf H. M\"{o}hring},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09261.23},
  URN =		{urn:nbn:de:0030-drops-21824},
  doi =		{10.4230/DagSemProc.09261.23},
  annote =	{Keywords: Stochastic discrete event simulation, optimization, hybrid algorithms}
}
Document
DOI: 10.4230/DagSemProc.07071.12
Iteration at Different Levels: Multi-Level Methods fro Structured Markov Chains

Authors: Peter Buchholz

Published in: Dagstuhl Seminar Proceedings, Volume 7071, Web Information Retrieval and Linear Algebra Algorithms (2007)

Abstract
For the stationary analysis of large Markov chains in continuous and discrete time a wide variety of solution techniques has been applied in the past. Empirical comparisons show that in particular so called multi-level approaches that perform iterations at different levels are the most efficient solvers for a wide class of Markov chains. The methods combine ideas from aggregation disaggregation methods and algebraic multigrid. The talk gives an overview of the basic ideas of multi level approaches and shows which design alternatives for the algorithms exist. In particular it considers different forms of defining levels, available alternatives to realize prolongation and interpolation operations, different cycle types and different stopping criteria for the smoothing operations at each level. The last part of the talk is devoted to implementation issues and data structures that are necessary for an efficient realization of multi-level methods.
Cite as

Peter Buchholz. Iteration at Different Levels: Multi-Level Methods fro Structured Markov Chains. In Web Information Retrieval and Linear Algebra Algorithms. Dagstuhl Seminar Proceedings, Volume 7071, pp. 1-10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

Copy BibTex To Clipboard

@InProceedings{buchholz:DagSemProc.07071.12,
  author =	{Buchholz, Peter},
  title =	{{Iteration at Different Levels: Multi-Level Methods fro Structured Markov Chains}},
  booktitle =	{Web Information Retrieval and Linear Algebra Algorithms},
  pages =	{1--10},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{7071},
  editor =	{Andreas Frommer and Michael W. Mahoney and Daniel B. Szyld},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07071.12},
  URN =		{urn:nbn:de:0030-drops-10590},
  doi =		{10.4230/DagSemProc.07071.12},
  annote =	{Keywords: Stationary Analysis, Multi-Level Techniques, Kronecker Representation}
}
  • Refine by Type
  • 5 Document/PDF
  • 3 Document/HTML

  • Refine by Publication Year
  • 3 2025
  • 1 2009
  • 1 2007

  • Refine by Author
  • 2 Buchholz, Peter
  • 1 Bensch, Leonie
  • 1 Bensch, Oliver
  • 1 Gilad, Gal
  • 1 Hamscher, Anja
  • Show More...

  • Refine by Series/Journal
  • 2 LIPIcs
  • 1 OASIcs
  • 2 DagSemProc

  • Refine by Classification
  • 1 Applied computing → Bioinformatics
  • 1 Computer systems organization → Real-time systems
  • 1 Computing methodologies → Intelligent agents
  • 1 Human-centered computing → Empirical studies in HCI
  • 1 Networks → Network architectures
  • Show More...

  • Refine by Keyword
  • 1 Artificial Intelligence
  • 1 Astronaut
  • 1 Augmented Reality
  • 1 Conversational Assistant
  • 1 Feedback Control
  • Show More...

Any Issues?
X

Feedback on the Current Page

CAPTCHA

Thanks for your feedback!

Feedback submitted to Dagstuhl Publishing

Could not send message

Please try again later or send an E-mail
© 2023-2026 Schloss Dagstuhl – LZI GmbH Schloss Dagstuhl – LZI GmbH About DROPS Imprint Privacy Contact