Benjamin Scheidt
I am a doctoral student under Prof. Dr. Nicole Schweikardt at Humboldt-Universität zu Berlin.
Currently, I examine the expressive power of hypergraph homomorphisms from a logical [1] and an algorithmical perspective.
You can reach me under my first name at this domain (mind my PGP key at the end of the page), my work email, or on LinkedIn.
Please send me pictures of your cat. 🐈
Publications
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Benjamin Scheidt and Nicole Schweikardt:
Counting Homomorphisms from Hypergraphs of Bounded Generalised Hypertree Width: A Logical
Characterisation. Published at MFCS 2023.
August 2023. DOI: 10.4230/LIPIcs.MFCS.2023.79.
- Conference Paper · Extended arXiv Paper.
- Also presented at AlMoTh 2023 💬 · ad hoc@ICALP 2023 💬 · Highlights'23 💬 🖼️.
Education
- Since 2022
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Doctoral Candidate in Computer Science, Humboldt-Universität zu Berlin.
Work groupLogic in Computer Science
under Prof. Dr. Nicole Schweikardt. - 2019 – 2022
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M.Sc. in Computer Science, Humboldt-Universität zu Berlin.
Average of 1,0 · Thesis:First-Order Logic with Counting: Algorithmic and Structural Equivalences
· Best Thesis Award. - 2016 – 2019
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B.Sc. in Computer Science, Humboldt-Universität zu Berlin.
Average of 1,4 · Thesis:Fractional Hypertree Decompositions of Width 2
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Teaching
I was a teaching assistant for the following courses:
- Summer 2023
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Logic and Complexity
Masters course on classical results from descriptive complexity. Covered topics include Traktenbrot's Theorem, Fagin's Theorem, zero-one laws and fixed-point logics.
- Winter 2022/23
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Discrete Structures
Introductory course for freshmen that teaches basics in discrete mathematics — i.e. basics on proofs, relational structures, graph theory, combinatorics, discrete stochastics…
- Summer 2022
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Logic for IMP
Introductory course on logic in computer science, tailored to a specific study program combining math, physics and computer science.
My PGP Public Key
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