Dr. Danh Le Phuoc
Fellow
Junior Fellow | BIFOLD
Senior Researcher | Technische Universität Berlin
Adjunct Lecturer | College of Engineering and Informatics, National University of Ireland Galway
2018 | Best Paper Award at the 8th International Conference on the Internet of Things (IoT 2018) |
2015 | Second Prize at European Linked Data Award 2015 (SEMANTICS 2015 ) |
2014 | Second Prize at Semantic Web Challenge 2014 (ISWC 2014, Riva Del Garda, Trentino, Italy) |
2011 | Honourable mention at Semantic Web Challenge 2011 (ISWC 2011, Bonn, Germany) |
2010 | Best Demo Award at ISWC 2010 (ISWC 2010, Shanghai, China) |
2010 | First Award at Linked Data Triplification Challenge 2010 (I-Semantics 2010, Graz, Austria) |
2009 | Honourable mention at Linked Data Triplification Challenge (I-Semantics 2009, Graz, Austria) |
- Graph data management
- Data stream processing
- Stream reasoning
- Big Data and analytics
- Pervasive computing
- Internet of Things
- Sensor networks and sensor middleware
- Semantic web
- Semantic computing and edge computing
Anh Le-Tuan, Carlos Franzreb, Danh Le Phuoc, Sonja Schimmler, Manfred Hauswirth
Towards Building Live Open Scientific Knowledge Graphs
Patrik Schneider, Daniel Alvarez-Coello, Anh Le-Tuan, Manh Nguyen-Duc, Danh Le-Phuoc
Stream Reasoning Playground
Successful Seed Funding For IoT Projects
TU Berlin, Siemens AG (SAG) and University of Oxford (UoO) recently partnered in a trilateral seed fund to stimulate joint research project bids. One of the altogether five successful seed projects was initiated by BIFOLD Junior Fellow Dr. Danh Le Phuoc, a DFG principle investigator at TU Berlin, and focuses on IoT and Edge computing, in particular for smart factory, autonomous vehicle, smart city and smart energy network. The seed projects will run during 2022 and are aimed at developing large-scale public funding bids.
An overview of the current state of research in BIFOLD
Since the official announcement of the Berlin Institute for the Foundations of Learning and Data in January 2020, BIFOLD researchers achieved a wide array of advancements in the domains of Machine Learning and Big Data Management as well as in a variety of application areas by developing new Systems and creating impactfull publications. The following summary provides an overview of recent research activities and successes.