Logo Uni Bremen

Center for Industrial Mathematics

ZeTeM > About ZeTeM > Staff > Prof. Dr. Daniel Schmand

Contact Sitemap Impressum [ English | Deutsch ]
Bild Prof. Dr. Daniel Schmand

Prof. Dr. Daniel Schmand

Leader of WG Discrete Optimization

Room: MZH 2420
Email: schmand
Phone: (0421) 218-59880
ORCID iD:  0000-0001-7776-3426

My email ends with @uni-bremen.de.

Memberships

Research Areas

Projects

  1. hyBit: Hydrogen for Bremen's industrial transformation (01.09.2022 - 28.02.2026)

Courses (Selection)complete list

  1. Mathematik 1b für Wirtschaftsingenieure (Sommersemester 2024)
  2. Mathematik 1a für Wirtschaftsingenieure (Wintersemester 2023/2024)
  3. Graphentheorie (Sommersemester 2023)
  4. Mathematisches Computerpraktikum (Wintersemester 2022/2023)
  5. Algorithmic Game Theory (Wintersemester 2022/2023)

Theses (Selection)complete list

  1. Prophet Inequalities Over Time (Florian Jonas)
  2. Untersuchung von Lösungsheuristiken des Traveling Salesperson Problems auf Monotonie (Leonard Germer)

Publications (Selection)complete list

  1. N. Bertschinger, M. Hoefer, D. Schmand.
    Flow Allocation Games.
    Mathematics of Operations Research, prelim. version at ITCS 2020. :1-22, 2024.

    DOI: 10.1287/moor.2022.0355

  2. P. Berenbrink, M. Hoefer, D. Kaaser, P. Lenzner, M. Rau, D. Schmand.
    Asynchronous opinion dynamics in social networks.
    Distributed Computing, prelim. version at AAMAS 2022. , 2024.

    DOI: 10.1007/s00446-024-00467-3

  3. M. Hoefer, K. Schewior, D. Schmand.
    Stochastic Probing with Increasing Precision.
    SIAM Journal on Discrete Mathematics, prelim. version at IJCAI 2021. 28(1):148-169, SIAM, 2024.

    DOI: 10.1137/22M149466X

  4. M. Grobler, S. Maaz, N. Megow, A. E. Mouawad, V. Ramamoorthi, D. Schmand, S. Siebertz.
    Solution discovery via reconfiguration for problems in P.
    Zur Veröffentlichung eingereicht.

    online at: https://arxiv.org/abs/2311.13478

  5. M. R. Fellows, M. Grobler, N. Megow, A. E. Mouawad, V. Ramamoorthi, F. A. Rosamond, D. Schmand, S. Siebertz.
    On Solution Discovery via Reconfiguration.
    26th European Conference on Artificial Intelligence (ECAI 2023), Kraków, Poland.

    DOI: 10.3233/FAIA230334