• Prof. Dr.

STEFFEN BONDORF

  • Distributed and Networked Systems
Prodekan für PR, Transfer & Internationalisierung

Ruhr-University Bochum
Faculty of Computer Science
Distributed and networked systems
Universitätsstr. 150
44801 Bochum

Room:  MC 1.63

Tel:      +49 (0)234 32-29454

E-Mail: steffen.bondorf@rub.de

Office hours: By Arrangement

Table of Contents

Curriculum Vitae

Steffen Bondorf is the Professor of distributed and networked systems in the Faculty of Computer Science at Ruhr University Bochum, Germany. His main research interests are in performance modeling and analysis of determinsitic networking, in particular, using network calculus.
Steffen studied computer science at TU Kaiserslautern (TUK), Germany. He was the first student who enrolled into a B.Sc. program at TUK before finishing secondary education. Subsequently, Steffen received his B.Sc., M.Sc. and Dr.-Ing. (equivalent to Ph.D.) in Computer Science from TUK, where he was part of the distributed computer systems lab.
After graduation, Steffen was a postdoctoral researcher, lecturer and Carl-Zeiss Fellow in the Dept. of Computer Science at TUK, a research fellow in the School of Computing at the National University of Singapore as well as visiting researcher in the Dept. of Electrical and Computer Engineering at the University of Toronto, Canada. From fall 2018 to fall 2019, Steffen was funded by an ERCIM (European Research Consortium for Informatics and Mathematics) Alain-Bensoussan fellowship to join the Dept. of Information Security and Communication Technology at NTNU Trondheim, Norway, and took a sojourn in the Kopernic group at INRIA Paris.
Steffen Bondorf was appointed as assistant professor at RUB on 01 October 2019, becoming the university’s first hire in the joint tenure-track program of the federal and state governments for the promotion of young scientists. Since 01 December 2021, Steffen Bondorf is a tenured full professor.

In a broad perspective, my main research ambition is to understand the fundamental computational principles of learning that characterize intelligence. More specifically, my research interests are focussed on the development, analysis, and application of deep learning models and methods. I am particularly interested in analysing and developing probabilistic models and inference methods, investigating biologically plausible deep learning, and understanding the stochastic processes involved in the training and optimisation of neural networks and probabilistic models.

Publications

2023

[1]
P. Detzner, M. Ten Hompel, und S. Bondorf, „Beitrag zur Selbstorganisation in der Intralogistik“, Universitätsbibliothek Dortmund, Dortmund, 2023. doi: 10.17877/de290r-23292.
[2]
P. Laskowski, P. Detzner, und S. Bondorf, „Tree-structured overlays with minimal height: construction, maintenance and operation“, in Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems, Neuchâtel, Juni 2023, S. 168–176. doi: 10.1145/3583678.3596894.
[1]
P. Detzner, J. Godeke, und S. Bondorf, „Peer discovery in tree-structured P2P overlay networks by means of connected dominating sets“, in 2022 IEEE 47th Conference on Local Computer Networks (LCN), Edmonton; online, Aug. 2022, S. 447–454. doi: 10.1109/lcn53696.2022.9843678.
 
[1]
F. Geyer, A. Scheffler, und S. Bondorf, „Tightening network calculus delay bounds by predicting flow prolongations in the FIFO analysis“, in 2021 IEEE 27th Real-time and embedded technology and applications symposium (RTAS), Juli 2021, S. 157–170. doi: 10.1109/rtas52030.2021.00021.
[2]
P. Detzner, J. Godeke, und S. Bondorf, „Low-cost search in tree-structured P2P overlays: the null-balance benefit“, in 2021 IEEE 46th Conference on Local Computer Networks (LCN), Sep. 2021, S. 620. doi: 10.1109/lcn52139.2021.9525004.
[3]
A. Scheffler und S. Bondorf, „Network calculus for bounding delays in feedforward networks of FIFO queueing systems“, in Quantitative Evaluation of Systems [ISBN: 9783030851712], Paris, Aug. 2021, Publiziert. doi: 10.1007/978-3-030-85172-9_8.
[1]
F. Geyer und S. Bondorf, „Graph-based deep learning for fast and tight network calculus analyses“, IEEE transactions on network science and engineering, Bd. 2020, S. 1–13, Sep. 2020, doi: 10.1109/tnse.2020.3025806.
[2]
S. Bondorf, B. Chen, J. Scarlett, H. Yu, und Y. Zhao, „Sublinear-time non-adaptive group testing with O(klogn) tests via bit-mixing coding“, Jan. 2020. [Online]. Verfügbar unter: https://arxiv.org/pdf/1904.10102.pdf
[3]
B. Cattelan, S. Bondorf, und A. E. Schaeffer-Filho, „An empirical study of tightest network calculus analyses for networks with multicast flows“, in The 44th IEEE conference on computers, software, and applications (COMPSAC 2020), Madrid, 2020, Publiziert. [Online]. Verfügbar unter: https://disco.cs.uni-kl.de/bibtexbrowser/?key=CBS20-1&bib=/var/www/html/discofiles/publicationsfiles/publications.disco.bib
[4]
S. Bondorf und F. Geyer, „Virtual cross-flow detouring in the deterministic network calculus analysis“, in IFIP Networking 2020, Paris, 2020, S. 554–558. [Online]. Verfügbar unter: https://ieeexplore.ieee.org/document/9142694
[5]
F. Geyer und S. Bondorf, „On the robustness of deep learning-predicted contention models for network calculus“, in 25th IEEE Symposium on computers and communications (ISCC 2020), Rennes, 2020, Publiziert. [Online]. Verfügbar unter: https://arxiv.org/pdf/1911.10522.pdf
[6]
B. Cattelan und S. Bondorf, „On delay bounds and measurements: a COTS testbed for network performance experimentation“, in ADMENT 2020, 2020, Publiziert. [Online]. Verfügbar unter: https://disco.cs.uni-kl.de/bibtexbrowser/?key=GB20-1&bib=/var/www/html/discofiles/publicationsfiles/publications.disco.bib
[7]
S. Bondorf, F. Geyer, und S. Bondorf, „Virtual Cross-Flow Detouring in the Deterministic Network Calculus Analysis“, in IFIP Networking 2020 Conference and Workshops, Networking 2020, 2020, Publiziert. [Online]. Verfügbar unter: http://www.scopus.com/inward/record.url?eid=2-s2.0-85090053165&partnerID=MN8TOARS
 
[1]
S. Bondorf und F. Geyer, „Deterministic network calculus analysis of multicast flows“, in Systems modeling, A. Puliafito und K. S. Trivedi, Hrsg. Cham: Springer, 2019, S. 63–78. doi: 10.1007/978-3-319-92378-9_5.
[2]
S. Bondorf, B. Chen, J. Scarlett, H. Yu, und Y. Zhao, „Cross-sender bit-mixing coding“, in IPSN 2019, Montreal, 2019, S. 205–216. [Online]. Verfügbar unter: https://ieeexplore.ieee.org/abstract/document/8732507
[3]
F. Geyer und S. Bondorf, „DeepTMA: predicting effective contention models for network calculus using graph neural networks“, in IEEE INFOCOM 2019 – IEEE Conference on Computer Communications (INFOCOM WKSHPS 2019), Paris, 2019, S. 1009–1017. doi: 10.1109/infocom.2019.8737496.
[4]
S. Bondorf, B. Chen, J. Scarlett, H. Yu, Y. Zhao, und S. Bondorf, „Cross-sender bit-mixing coding“, in Proceedings of the 18th International Conference on Information Processing in Sensor Networks, Apr. 2019, Publiziert. doi: 10.1145/3302506.3310401.
 
[1]
A. Scheffler, M. Fögen, und S. Bondorf, „The deterministic network calculus analysis: reliability insights and performance improvements“, in 2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Barcelona, 2018, S. 235–240. doi: 10.1109/camad.2018.8514938.
[2]
A. Scheffler, S. Bondorf, und J. B. Schmitt, „Demo abstract: Worst-case performance analysis with the disco deterministic network calculator“, 2018. [Online]. Verfügbar unter: https://pdfs.semanticscholar.org/ecb4/e8f8b7a68bcbe2d93e093b52df99b1b9073b.pdf
[3]
S. Bondorf, P. Nikolaus, und J. B. Schmitt, „Catching corner cases in network calculus – flow segregation can improve accuracy“, in Measurement, modelling, and evaluation of computing systems, Erlangen, 2018, Bd. 10740, S. 218–233. doi: 10.1007/978-3-319-74947-1_15.
[1]
P. Schon und S. Bondorf, „Towards unified tool support for real-time calculus & deterministic network calculus“, Juni 2017. [Online]. Verfügbar unter: https://www.ecrts.org/archives/fileadmin/files_ecrts17/Proceedings_ECRTS-WiP2017.pdf#page=16
[2]
S. Bondorf, P. Nikolaus, und J. B. Schmitt, „Quality and cost of deterministic network calculus: design and evaluation of an accurate and fast analysis“, Proceedings of the ACM on measurement and analysis of computing systems / Association for Computing Machinery, Bd. 1, Nr. 1, Art. Nr. 16, Juni 2017, doi: 10.1145/3084453.
[3]
S. Bondorf, „Better bounds by worse assumptions: improving network calculus accuracy by adding pessimism to the network model“, in 2017 IEEE International Conference on Communications (ICC), Paris, 2017, Publiziert. doi: 10.1109/icc.2017.7996996.
[4]
B. Cattelan und S. Bondorf, „Iterative design space exploration for networks requiring performance guarantees“, in 36th DASC, St. Petersburg, Fla., 2017, Publiziert. doi: 10.1109/dasc.2017.8102106.
[5]
K. Lampka, S. Bondorf, J. B. Schmitt, N. Guan, und W. Yi, „Generalized finitary real-time calculus“, in IEEE INFOCOM 2017 – IEEE Conference on Computer Communications, Atlanta, Ga., 2017, Publiziert. doi: 10.1109/infocom.2017.8056981.
[6]
J. B. Schmitt, S. Bondorf, und W. Y. Poe, „The sensor network calculus as key to the design of wireless sensor networks with predictable performance“, Journal of sensor and actuator networks, Bd. 6, Nr. 3, Art. Nr. 21, 2017, doi: 10.3390/jsan6030021.
[7]
S. Bondorf, „Quality and cost of deterministic network calculus: design and evaluation of an accurate and fast analysis“, SIGMETRICS’17 abstracts. ACM Pr., New York, NY, S. 65, 2017. doi: 10.1145/3078505.3078594.
[8]
M. Schütze, S. Bondorf, und M. Kreider, „Verification of the FAIR control system using deterministic network calculus“, in ICALEPCS2017, Barcelona, 2017, S. 238–244. doi: 10.18429/jacow-icalepcs2017-tucpl06.
[1]
S. Bondorf und J. Schmitt, „Worst-case performance analysis of feed-forward networks – an efficient and accurate network calculus“, Technische Universität Kaiserslautern, Kaiserslautern, 2016. [Online]. Verfügbar unter: https://kluedo.ub.uni-kl.de/frontdoor/deliver/index/docId/4432/file/Thesis_SteffenBondorf_kluedo.pdf
[2]
S. Bondorf und F. Geyer, „Generalizing network calculus analysis to derive performance guarantees for multicast flows“, in 10th EAI International Conference on Performance Evaluation Methodologies and Tools (ValueTools 2016), Taormina, 2016, S. 2–9. doi: 10.4108/eai.25-10-2016.2266598.
[3]
K. Lampka, S. Bondorf, und J. B. Schmitt, „Achieving efficiency without sacrificing model accuracy: network calculus on compact domains“, in 2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, London, 2016, S. 313–318. doi: 10.1109/mascots.2016.9.
[4]
S. Bondorf und J. B. Schmitt, „Improving cross-traffic bounds in feed-forward networks: there is a job for everyone“, in Measurement, modelling and evaluation of dependable computer and communication systems, Münster, 2016, Bd. 9629, S. 9–24. doi: 10.1007/978-3-319-31559-1_3.
[5]
S. Bondorf und J. B. Schmitt, „Should network calculus relocate?: an assessment of current algebraic and optimization-based analyses“, in Quantitative Evaluation of Systems, Quebec City, 2016, Bd. 9826, S. 207–223. doi: 10.1007/978-3-319-43425-4_15.
[1]
S. Bondorf und J. B. Schmitt, „Calculating accurate end-to-end delay bounds – you better know your cross-traffic“, in Proceedings of the 9th EAI International Conference on Performance Evaluation Methodologies and Tools, Berlin, 2015, Publiziert. doi: 10.4108/eai.14-12-2015.2262565.
[2]
S. Bondorf und J. B. Schmitt, „Boosting sensor network calculus by thoroughly bounding cross-traffic“, in 2015 IEEE Conference on Computer Communications (INFOCOM 2015), Hong Kong, 2015, S. 235–243. doi: 10.1109/infocom.2015.7218387.
[3]
S. Bondorf und J. B. Schmitt, „The DiscoDNC v2 – a comprehensive tool for deterministic network calculus“, in 8th International ICST Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS 2014), Bratislava, 2015, S. 44–49. doi: 10.4108/icst.valuetools.2014.258167.
[1]
S. Bondorf, „Using network calculus to model energy harvesting wireless sensor networks“. 2012. [Online]. Verfügbar unter: https://disco.cs.uni-kl.de/discofiles/publicationsfiles/B12.pdf
[1]
J. B. Schmitt, N. Gollan, S. Bondorf, und I. Martinovic, „Pay bursts only once holds for (some) non-FIFO systems“, in Proceedings / IEEE INFOCOM, 2011 : 10 – 15 April 2011, Shanghai, P.R. China, Shanghai, 2011, S. 1970–1978. doi: 10.1109/infcom.2011.5935002.
[1]
S. Bondorf und J. B. Schmitt, „Statistical response time bounds in randomly deployed wireless sensor networks“, in 2010 IEEE 35th Conference on Local Computer Networks (LCN 2010), Denver, Colo., 2010, S. 340–343. doi: 10.1109/lcn.2010.5735738.

Publications

20 Einträge « ‹ 1 von 2 › »

Alexander May, Massimo Ostuzzi

Multiple Group Action Dlogs with(out) Precomputation Artikel Geplante Veröffentlichung

In: Preprint, Geplante Veröffentlichung.

Links | Schlagwörter: Preprint

Sebastian Bitzer, Jeroen Delvaux, Elena Kirshanova, Sebastian Maaßen, Alexander May, Antonia Wachter-Zeh

How to Lose Some Weight - A Practical Template Syndrome Decoding Attack Workshop

Coding and Cryptography (WCC 24), 2024.

Links | Schlagwörter: Crypto Others

Alexander May, Julian Nowakowski

Too Many Hints - When LLL Breaks LWE Proceedings Article

In: Advances in Cryptology (ASIACRYPT 23), 2023.

Links | Schlagwörter: Crypto Flagship, Rank A*/A

Timo Glaser, Alexander May

How to Enumerate LWE Keys as Narrow as in Kyber/Dilithium Proceedings Article

In: Cryptology and Network Security (CANS 23), S. 75–100, Springer, 2023.

Links | Schlagwörter: Crypto Others

Elena Kirshanova, Alexander May

Breaking Goppa-based McEliece with hints Proceedings Article

In: Security and Cryptography for Networks (SCN 22), and Journal of Information and Computation, Volume 293, 2023.

Links | Schlagwörter: Crypto Others

Jesús-Javier Chi-Dominguez, Andre Esser, Sabrina Kunzweiler, Alexander May

Low Memory Attacks on Small Key CSIDH Proceedings Article

In: Applied Cryptography and Network Security (ACNS 23), S. 276–304, Springer, 2023.

Links | Schlagwörter: Crypto Others

Elena Kirshanova, Alexander May, Julian Nowakowski

New NTRU Records with Improved Lattice Bases Proceedings Article

In: Post-Quantum Cryptography (PQCrypto 23), S. 167–195, Springer, 2023.

Links | Schlagwörter: Crypto Others

Alexander May, Carl Richard Theodor Schneider

Dlog is Practically as Hard (or Easy) as DH - Solving Dlogs via DH Oracles on EC Standards Proceedings Article

In: Transactions on Cryptographic Hardware and Embedded Systems (TCHES), S. 146–166, 2023.

Links | Schlagwörter: Crypto Area, Rank A*/A

Andre Esser, Alexander May, Javier A. Verbel, Weiqiang Wen

Partial Key Exposure Attacks on BIKE, Rainbow and NTRU Proceedings Article

In: Advances in Cryptology (CRYPTO 2022) , S. 346–375, Springer, 2022.

Links | Schlagwörter: Crypto Flagship, Rank A*/A

Alexander May, Julian Nowakowski, Santanu Sarkar

Approximate Divisor Multiples - Factoring with Only a Third of the Secret CRT-Exponents Proceedings Article

In: Advances in Cryptology (EUROCRYPT 22) , S. 147–167, Springer, 2022.

Links | Schlagwörter: Crypto Flagship, Rank A*/A

20 Einträge « ‹ 1 von 2 › »

Memberships

  • BITSI – Bochumer Verein zur Förderung der IT-Sicherheit und Informatik
  • CASA – DFG Excellence Cluster
  • QSI – EU Marie Curie Network
  • HGI – Horst Görtz Institute
  • IACR – Cryptology Research

Lectures (Moodle/Notes)

Crypto Challenges

Former PhDs

  1. Önder Askin, 2024
  2. Floyd Zweydinger, 2023
  3. Lars Schlieper, 2022
  4. Alexander Helm, 2020
  5. Andre Esser, 2020
  6. Matthias Minihold, 2019 
  7. Leif Both, 2018
  8. Robert Kübler, 2018
  9. Elena Kirshanova, 2016
  10. Ilya Ozerov, 2016
  11. Gottfried Herold, 2014
  12. Alexander Meurer, 2014
  13. Mathias Herrmann, 2011
  14. Maike Ritzenhofen, 2010

Calvin & Hobbes

Prof. Dr. Steffen Bondorf

Distributed and networked systems

Professor / Head of Chair

Address:
Ruhr-University Bochum
Faculty of Computer Science
Distributed and networked systems
Universitätsstr. 150
--D-44801 Bochum

Room: VC 1/63

Telephone: +49(0)234 32 29454

Office Hours: By arrangement

E-Mail: steffen.bondorf(at)rub.de

Curriculum Vitae

Steffen Bondorf is the Professor of distributed and networked systems in the Faculty of Computer Science at Ruhr University Bochum, Germany. His main research interests are in performance modeling and analysis of determinsitic networking, in particular, using network calculus.
Steffen studied computer science at TU Kaiserslautern (TUK), Germany. He was the first student who enrolled into a B.Sc. program at TUK before finishing secondary education. Subsequently, Steffen received his B.Sc., M.Sc. and Dr.-Ing. (equivalent to Ph.D.) in Computer Science from TUK, where he was part of the distributed computer systems lab.
After graduation, Steffen was a postdoctoral researcher, lecturer and Carl-Zeiss Fellow in the Dept. of Computer Science at TUK, a research fellow in the School of Computing at the National University of Singapore as well as visiting researcher in the Dept. of Electrical and Computer Engineering at the University of Toronto, Canada. From fall 2018 to fall 2019, Steffen was funded by an ERCIM (European Research Consortium for Informatics and Mathematics) Alain-Bensoussan fellowship to join the Dept. of Information Security and Communication Technology at NTNU Trondheim, Norway, and took a sojourn in the Kopernic group at INRIA Paris.
Steffen Bondorf was appointed as assistant professor at RUB on 01 October 2019, becoming the university's first hire in the joint tenure-track program of the federal and state governments for the promotion of young scientists. Since 01 December 2021, Steffen Bondorf is a tenured full professor.


Courses



Publications