Alexander Munteanu - FAIR - TU Dortmund

Location & approach

By car

The campus of the TU Dortmund University is located near the freeway junction Dortmund West, where the Sauerland line A45 crosses the Ruhr expressway B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the South Campus, the Dortmund-Dorstfeld exit on the A40 leads to the North Campus. The university is signposted at both exits. All FAIR PIs have offices on the North Campus. FAIR's main offices will be located a bit off the North Campus on Martin-Schmeisser-Weg 17 (parking behind the building).

By train

The "Dortmund Universität" S-Bahn station is located directly on the North Campus. From there, the S-Bahn line S1 runs every 15 or 30 minutes to Dortmund main station and in the opposite direction to Düsseldorf main station via Bochum, Essen and Duisburg. In addition, the university can be reached by bus lines 445, 447 and 462. Timetable information can be found on the homepage of the Verkehrsverbundes Rhein-Ruhr, and DSW21 also offer an interactive route network map.

By plane

From Dortmund Airport, the AirportExpress takes just over 20 minutes to Dortmund main station and from there to the university by S-Bahn. A wider range of international flight connections is offered by Düsseldorf Airport, about 60 kilometers away, which can be reached directly by S-Bahn from the university's train station.

The H-Bahn

One of the landmarks of the TU Dortmund is the H-Bahn. Line 1 runs every 10 minutes between Dortmund Eichlinghofen and the Technology Center via Campus South and Dortmund University S, while Line 2 commutes every 5 minutes between Campus North and Campus South. It covers this distance in two minutes.

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Location & approach

By car

The campus of the TU Dortmund University is located near the freeway junction Dortmund West, where the Sauerland line A45 crosses the Ruhr expressway B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the South Campus, the Dortmund-Dorstfeld exit on the A40 leads to the North Campus. The university is signposted at both exits. All FAIR PIs have offices on the North Campus. FAIR's main offices will be located a bit off the North Campus on Martin-Schmeisser-Weg 17 (parking behind the building).

By train

The "Dortmund Universität" S-Bahn station is located directly on the North Campus. From there, the S-Bahn line S1 runs every 15 or 30 minutes to Dortmund main station and in the opposite direction to Düsseldorf main station via Bochum, Essen and Duisburg. In addition, the university can be reached by bus lines 445, 447 and 462. Timetable information can be found on the homepage of the Verkehrsverbundes Rhein-Ruhr, and DSW21 also offer an interactive route network map.

By plane

From Dortmund Airport, the AirportExpress takes just over 20 minutes to Dortmund main station and from there to the university by S-Bahn. A wider range of international flight connections is offered by Düsseldorf Airport, about 60 kilometers away, which can be reached directly by S-Bahn from the university's train station.

The H-Bahn

One of the landmarks of the TU Dortmund is the H-Bahn. Line 1 runs every 10 minutes between Dortmund Eichlinghofen and the Technology Center via Campus South and Dortmund University S, while Line 2 commutes every 5 minutes between Campus North and Campus South. It covers this distance in two minutes.

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Principal Investigator

Dr. Alexander Munteanu

Mail: alexander.munteanutu-dortmundde

Mathematical Statistics with Applications in Biometrics

Phone: 0231 / 755 - 7885

Vogelpothsweg 87 | Room E16B

portait of Dr. Alexander Munteanu.

CV

Alexander Munteanu received his PhD in theoretical computer science in 2018. He is now postdoctoral researcher at the Faculty of Statistics at TU Dortmund University, and managing director of the Dortmund Data Science Center. In October 2019, he became PI of a project on large-scale and high-dimensional regression within the collaborative research center SFB 876. Being a PI in FAIR offers him a great opportunity to transfer and further develop innovative statistical and data science methods for their application in the social sciences.

Research Interests

Algorithm design and theory
Machine learning
Computational statistics
Large and high-dimensional data
Data streams

Publications

Selected publications

Alexander Munteanu, Simon Omlor, and David P. Woodruff (2021). Oblivious sketching for logistic regression. In Proceedings of the 38th International Conference on Machine Learning (ICML), pages 7861–7871.
http://proceedings.mlr.press/v139/munteanu21a.html

Leo N. Geppert, Katja Ickstadt, Alexander Munteanu, and Christian Sohler (2020). Streaming statistical models via Merge & Reduce. International Journal of Data Science and Analytics, 10(4):331–347.
https://doi.org/10.1007/s41060-020-00226-0

Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler, and David P. Woodruff (2018). On coresets for logistic regression. In Advances in Neural Information Processing Systems 31 (NeurIPS), pages 6562–6571.
https://proceedings.neurips.cc/paper/2018/hash/63bfd6e8f26d1d3537f4c5038264ef36-Abstract.html

Alexander Munteanu and Chris Schwiegelshohn (2018). Coresets - Methods and History: A theoreticians design pattern for approximation and streaming algorithms. Künstliche Intelligenz, 32(1):37–53.
https://doi.org/10.1007/s13218-017-0519-3

Leo N. Geppert, Katja Ickstadt, Alexander Munteanu, Jens Quedenfeld, and Christian Sohler (2017). Random projections for Bayesian regression. Statistics and Computing, 27(1):79–101.
https://doi.org/10.1007/s11222-015-9608-z