Uwe Aßmann
professor at the Technical Unversity Dresden, Germany
Facts
12 properties- Instance of
- human
- Date of birth
- 1963
- Occupation
- university teacher, software engineering, computer scientist
- Employer
- TU Dresden, Karlsruhe Institute of Technology, Institut National de Recherche en Informatique et en Automatique, Linköping University[6]
- Educated at
- Karlsruhe Institute of Technology
- Official website
- www1.inf.tu-dresden.de[12]
- Doctoral advisor
- Gerhard Goos[7]
🏷️ Also known as
en Uwe Aßmann
cs Uwe Assmann
🔖 Identifiers · 24
- ISNI
- 0000000114622239
- ORCID iD
- 0000-0002-3513-6448
- VIAF cluster ID
- 85477225
- Library of Congress Authorities ID
- n2003002081
- GND ID
- 1252468199
- BIBSYS ID
- 90931487
- Canadiana Name Authority ID
- ncf11409466
- CiNii Research ID
- 1140845216713087744
- DBLP author ID
- 42/998
- DDB person (GND) ID
- 1252468199
- FactGrid item ID
- HMS Drake
- Google Knowledge Graph ID
- /g/113s4vgf5
Show all 24 identifiers +12
- Google Scholar author ID
- KiiBpMgAAAAJ
- J9U entity ID
- 987007455577805171
- LinkedIn personal profile ID
- uwe-assmann-7798344
- Mathematics Genealogy Project ID
- 241716
- NACSIS-CAT author ID
- DA1547398X
- NL CR AUT ID
- xx0028822
- NUKAT ID
- n2017004251
- National Library of Korea ID
- KAC2022E0568
- Nationale Thesaurus voor Auteursnamen ID
- 286814935
- RERO ID (legacy)
- A027480418
- ResearchGate profile ID
- Uwe_Assmann
- Yale LUX ID
- person/422c0af8-5d22-4069-b9df-5166c547f71d
🔗 Connections
Author of 8
A Capability-based Framework for Programming Small Domestic Service Robots,
A combined formal model for relational context-dependent roles,
Data-Driven Digital Twins in Surgery utilizing Augmented Reality and Machine Learning,
Enabling View-based Programming with SCROLL,
HoloFlows: modelling of processes for the Internet of Things in mixed reality,
Relational reference attribute grammars: Improving continuous model validation,
Self-Healing for Distributed Workflows in the Internet of Things,
Software-Defined Mobile Supply Chains: Rebalancing Resilience and Efficiency in Production Systems
← Authored by 8
A Capability-based Framework for Programming Small Domestic Service Robots,
A combined formal model for relational context-dependent roles,
Data-Driven Digital Twins in Surgery utilizing Augmented Reality and Machine Learning,
Enabling View-based Programming with SCROLL,
HoloFlows: modelling of processes for the Internet of Things in mixed reality,
Relational reference attribute grammars: Improving continuous model validation,
Self-Healing for Distributed Workflows in the Internet of Things,
Software-Defined Mobile Supply Chains: Rebalancing Resilience and Efficiency in Production Systems
Affiliated with 2
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