# Martin Erdmann > physicist **Wikidata**: [Q57310452](https://www.wikidata.org/wiki/Q57310452) **Source**: https://4ort.xyz/entity/martin-erdmann ## Summary Martin Erdmann, born on January 1, 1960, in Brunswick[1][2][3], is a physicist, university teacher, and scientist[3]. Since 2004, he has been employed at RWTH Aachen University[4]. His professional work spans the fields of physics, experimental physics, particle physics, and computational physics[3]. ## Summary Martin Erdmann is a physicist and university teacher affiliated with RWTH Aachen University since 2004. He works in particle physics, experimental and computational physics and applies deep learning methods within those domains; his research outputs are indexed in major bibliographic and subject databases. ## Biography - Born: 1960, Brunswick - Education: (no data available in source material) - Known for: Research and teaching in particle physics, experimental physics, computational physics, and applications of deep learning - Employer(s): RWTH Aachen University (employed since 2004-08-01) - Field(s): physics; experimental physics; particle physics; computational physics; deep learning - Occupation: physicist; university teacher; scientist - Languages: German; English ## Contributions Martin Erdmann has contributed to research at the intersection of particle physics, experimental physics, computational physics, and deep learning. His authorship is recorded in subject-specific research indexes and library authority files, including Inspire HEP under the author identifier M.Erdmann.1 and multiple international authority records (for example ISNI 0000000408562593, VIAF 165385244, and GND 144031760). Erdmann has held a university appointment at RWTH Aachen University since 1 August 2004, through which he has combined teaching and research activities in the listed fields. His work is discoverable across national and international catalogues and authority systems (Library of Congress, Bibliothèque nationale de France, WorldCat entries, CNII and others), indicating a body of published scholarship and participation in the particle-physics research community. The source material does not list individual paper titles, patents, or project names, but documents his persistent presence in disciplinary bibliographic infrastructures and research-author registries. ## FAQs ### Q: Who is Martin Erdmann? A: Martin Erdmann is a physicist and university teacher based at RWTH Aachen University, known for work in particle physics, experimental physics, computational physics, and the application of deep learning. ### Q: Where does Martin Erdmann work? A: He is employed by RWTH Aachen University; the employment record in the source material lists a start date of 2004-08-01. ### Q: What are Martin Erdmann's main research areas? A: His listed fields of work are physics, experimental physics, particle physics, computational physics, and deep learning. ## Why They Matter Martin Erdmann’s significance lies in the combination of disciplinary depth in particle and experimental physics with computational methods and deep learning. His sustained appointment at RWTH Aachen University since 2004 positions him within both research and higher-education roles, enabling the training of students and the production of research outputs. The breadth of his presence in scholarly and bibliographic infrastructures — including Inspire HEP, ISNI, VIAF, GND, Library of Congress, and national library catalogues — demonstrates recognition and discoverability of his scholarly contributions across communities. That cross-indexing supports collaboration, citation, and reuse of his work by physicists and computational researchers. Without his contributions, there would be a smaller recorded body of work at the intersection of particle physics and computational/deep-learning approaches within the institutions and databases that track the field’s literature. The source material indicates influence primarily through sustained research and teaching roles and through inclusion in major bibliographic systems. ## Notable For - Long-term university affiliation: employed at RWTH Aachen University beginning 2004-08-01. - Interdisciplinary research focus spanning particle physics, experimental physics, computational physics, and deep learning. - Subject-indexed author record in Inspire HEP under M.Erdmann.1. - Broad bibliographic and authority presence: ISNI 0000000408562593; VIAF 165385244; GND 144031760; Library of Congress authority records. - Roles: listed occupations include physicist, university teacher, and scientist. ## Body ### Personal details - Given names: Martin; Hans (as a secondary given name). - Family name: Erdmann. - Birth year and place: 1960, Brunswick. - Sex/gender: male. - Languages: German and English. ### Career and affiliation - Employer: RWTH Aachen University. - Employment start date at RWTH Aachen University: 2004-08-01. - Occupations recorded: physicist; university teacher; scientist. ### Research fields - Primary fields of work: physics; experimental physics; particle physics; computational physics; deep learning. - Roles implied by fields: research in particle and experimental physics; application of computational methods and deep-learning techniques in physics contexts. ### Bibliographic and research identifiers - Inspire HEP author identifier: M.Erdmann.1. - ISNI: 0000000408562593. - VIAF ID: 165385244. - GND (German National Library identifier): 144031760. - VIAF/GND and other catalogue presences demonstrate catalogued publications and authorship across multiple systems. ### Library and authority records - Library of Congress authority IDs: n97034503; nr96037528. - Bibliothèque nationale de France ID: 17213827n. - WorldCat entities ID: E39PBJvxvVYKbYQVCgcDMft7pP. - Additional national identifiers: Cinii Research ID 1140000791845894784; national library of Poland MMS ID 9810661178805606; Canadiana Name Authority ncf13690512. ### Public-facing metadata and cataloguing - NL CR author ID: ntk20231175365 (recorded as "Erdmann, Martin"). - Additional catalogue identifiers include idref, nukat, bibsys, DDB (GND), and share catalogue author entries. (End of entry.) ## References 1. Czech National Authority Database 2. Virtual International Authority File 3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-1653-1303/employment/4125480) 4. SHARE Catalogue 5. [Source](https://viaf.org/viaf/data/viaf-20230206-links.txt.gz) 6. CiNii Research 7. NUKAT 8. MAK