Matthias Grossglauser

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Professor

Matthias Grossglauser
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Born1969 (age 54–55)
Niederbipp, Switzerland
NationalitySwiss
CitizenshipSwitzerland
EducationCommunications system
Alma materÉcole Polytechnique Fédérale de Lausanne
Scientific career
FieldsMachine learning, Analytics, network science, computational social science, Rational choice theory
InstitutionsÉcole Polytechnique Fédérale de Lausanne
ThesisControl of Network Resources over Multiple Time-Scales (Contrôle des Ressources de Réseaux sur des Échelles Temporelles Multiples) (1998)
Doctoral advisorJean-Chrysostome Bolot
Websitehttps://indy.epfl.ch/

Matthias Grossglauser (born 1969 in Niederbipp, Switzerland) is a Swiss communication engineer. He is a professor of computer science at École Polytechnique Fédérale de Lausanne|EPFL (École Polytechnique Fédérale de Lausanne) and co-director of the Information and Network Dynamics Laboratory (INDY) at École Polytechnique Fédérale de Lausanne|EPFL's School of Computer and Communication Sciences School of Basic Sciences.[1][2]

Career

Grossglauser studied Communications system|communication systems and electrical engineering at École Polytechnique Fédérale de Lausanne|EPFL and at Georgia Tech|Georgia Institute of Technology, respectively, and graduated from both with Master's degrees in 1994.[3][4] He received a PhD with highest honors in computer science from the Pierre and Marie Curie University (UPMC) in Paris in 1998. His PhD thesis on "Control of Network Resources over Multiple Time-Scales" (in the French original: Contrôle des ressources de réseaux sur des échelles temporelles multiples) was supervised by Jean-Chrysostome Bolot.[5][6] He then joined AT&T's Networking and Distributed Systems Laboratory (Shannon Labs) at Florham Park, New Jersey as a principal research scientist. In 2003, he moved as an assistant professor to École Polytechnique Fédérale de Lausanne|EPFL's School of Computer and Communication Sciences. In 2007, he joined the Nokia|Nokia Research Center (NRC) in Helsinki first as director of the Internet Laboratory, before becoming head of Data Insight program and member of the CEO Technology Council in 2009.[4][7] In 2011, he became associate professor at École Polytechnique Fédérale de Lausanne|EPFL's School of Computer and Communication Sciences where he was promoted to a full professor position in 2021.[1][2]

Research

Grossglauser's research focuses on machine learning and Analytics|data analytics, and on their applications in network science, Computational social science|computational social sciences, and Recommender system|recommender systems. His fields of interest encompass among others Structure mining|graph mining, mobility mining, Epidemic|epidemics, Discrete choice|discrete-choice models, Active learning (machine learning)|active learning, and network traffic measurement.

Graph Mining: Structure mining|Graph-structured datasets encompass online social networks (OSNs; e.g., Facebook, LinkedIn, and Twitter) and biological networks (e.g., proteins-protein interaction (PPI) and gene regulatory networks) that can be investigated by data analytics techniques to extract knowledge and make predictions. He employs stochastic models for large graphs and analyses them through the application of algorithms to gain a fundamental understanding about the properties of the components.[8][9][10]

Mobility Mining: Grossglauser investigates the application of machine learning to harvest the rich structure of mobility date generated by millions of users on the move through their smartphones. He is interested in applications such as location-based advertisement, navigation and transportation, and augmented reality.[11][12][13]

Epidemics: Epidemic models enables the study of dynamics and long-term asymptotics of epidemic processes, such as infectious diseases or the dissemination of ideas in social networks. It also explores measure such as vaccination to slow the process, or deliberate infections to optimize the spread of an opinion. In this field Grossglauser is interested in Estimation theory|estimation problems on epidemics under monitoring budget constraints.[14][15][16]

Discrete-choice models: He examines new implementation and stochastic models for choices, comparisons, and rankings in online contexts, as well as their issues of large-scale inference and active learning.[17][18][19]

Active Learning: He investigates and implements earning methods that balance the competing goal of gaining more knowledge by exploring new data on the fly. Goal is an ad hoc optimisation of the learning process based on the current state of knowledge.[20][21][22]

Network traffic measurement: Grossglauser jointly with Nick Duffield is the developer of the trajectory sampling (TS) method. It aims at making traffic measurement for network operators more efficient and less error-prone, while being compatible with existing Internet Protocol|IP protocols and packet formats. Its development led to the formation of the PSAMP working group at the Internet Engineering Task Force|IETF that standardized TS, and has since become an official IETF standard.[23][24][25][26]

Distinctions

Grossglauser is a fellow of the IEEE (2021),[27] a member of the Association for Computing Machinery (ACM), commissioner of the Swiss Federal Communications Commission (ComCom; the independent regulatory authority of the Swiss telecommunications market),[28] and a board member of the Swiss Informatics Research Association (SIRA).[29]

He is the recipient of the 2014 Best Paper Award at Association for Computing Machinery|ACM Conference of Online Social Networks for his paper on “Mining Democracy”,[30][31] the 2012 Winning Algorithm Award at the "Nokia Mobile Data Challenge: Next Place Prediction," the 2006 Association for Computing Machinery|ACM SIGCOMM/CoNEXT Rising Star Award,[32], the 2001 Best Paper Award at the Institute of Electrical and Electronics Engineers|IEEE INFOCOM for his paper on “Mobility Increases the Capacity of Ad-hoc Wireless Networks”,[7][33] and the 1998 Cor Baayen Award from the European Research Consortium for Informatics and Mathematics (ERCIM).[34]

References

  1. ↑ 1.0 1.1 "INDY Lab - People". indy.epfl.ch. Retrieved 2021-06-04.
  2. ↑ 2.0 2.1 "18 new professors appointed at ETH Zurich and EPFL | ETH-Board". www.ethrat.ch. Retrieved 2021-06-04.
  3. ↑ "Base de données sur les Élites suisses au XXe siècle". www2.unil.ch. Retrieved 2021-06-04.
  4. ↑ 4.0 4.1 ComCom, Federal Communications Commission. "Matthias Grossglauser". www.comcom.admin.ch. Retrieved 2021-06-07.
  5. ↑ "Lauréat du prix de thèse SPECIF". SIF (in français). Retrieved 2021-06-04.
  6. ↑ Matthias, Grossglauser. "Contrôle des Ressources de Réseaux sur des Échelles Temporelles Multiples" (PDF). EPFL. Retrieved 2021-06-04.{{cite web}}: CS1 maint: url-status (link)
  7. ↑ 7.0 7.1 "Matthias Grossglauser". ieeexplore.ieee.org. Retrieved 2021-06-04.
  8. ↑ Kristof, Victor; Grossglauser, Matthias; Thiran, Patrick (2020-04-20). "War of Words: The Competitive Dynamics of Legislative Processes". Proceedings of The Web Conference 2020. Taipei Taiwan: ACM: 2803–2809. doi:10.1145/3366423.3380041. ISBN 978-1-4503-7023-3.
  9. ↑ Salehi, Farnood; Trouleau, William; Grossglauser, Matthias; Thiran, Patrick (2019-11-01). "Learning Hawkes Processes from a Handful of Events". arXiv:1911.00292 [cs, stat].
  10. ↑ Salehi, Farnood; Trouleau, William; Grossglauser, Matthias; Thiran, Patrick (2019-11-01). "Learning Hawkes Processes from a Handful of Events". arXiv:1911.00292 [cs, stat].
  11. ↑ Kafsi, Mohamed; Braunschweig, Raphaël; Mersch, Danielle; Grossglauser, Matthias; Keller, Laurent; Thiran, Patrick (2016-06-30). "Uncovering Latent Behaviors in Ant Colonies". Proceedings of the 2016 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics: 450–458. doi:10.1137/1.9781611974348.51. ISBN 978-1-61197-434-8.
  12. ↑ Kafsi, Mohamed; Grossglauser, Matthias; Thiran, Patrick (November 2015). "Traveling Salesman in Reverse: Conditional Markov Entropy for Trajectory Segmentation". 2015 IEEE International Conference on Data Mining. Atlantic City, NJ, USA: IEEE: 201–210. doi:10.1109/ICDM.2015.134. ISBN 978-1-4673-9504-5.
  13. ↑ Tschopp, Dominique; Diggavi, Suhas; Grossglauser, Matthias (2015). "Hierarchical routing over dynamic wireless networks". Random Structures & Algorithms. 47 (4): 669–709. doi:10.1002/rsa.20589. ISSN 1098-2418.
  14. ↑ Salehi, Farnood; Trouleau, William; Grossglauser, Matthias; Thiran, Patrick (2019-11-01). "Learning Hawkes Processes from a Handful of Events". arXiv:1911.00292 [cs, stat].
  15. ↑ Trouleau, William; Etesami, Jalal; Grossglauser, Matthias; Kiyavash, Negar; Thiran, Patrick (2019-06-09). "Learning Hawkes Processes Under Synchronization Noise". Proceedings of the 36th International Conference on Machine Learning. Retrieved 2021-06-07.
  16. ↑ Spinelli, Brunella; Celis, L. Elisa; Thiran, Patrick (April 2019). "A General Framework for Sensor Placement in Source Localization". IEEE Transactions on Network Science and Engineering. 6 (2): 86–102. doi:10.1109/TNSE.2017.2787551. ISSN 2327-4697.
  17. ↑ Kristof, Victor; Suresh, Aswin; Grossglauser, Matthias; Thiran, Patrick (2021-04-19). "War of Words II: Enriched Models of Law-Making Processes". Proceedings of the Web Conference 2021. WWW '21. Ljubljana, Slovenia: Association for Computing Machinery: 2014–2024. doi:10.1145/3442381.3450131. ISBN 978-1-4503-8312-7.
  18. ↑ Kristof, Victor; Grossglauser, Matthias; Thiran, Patrick (2020-04-20). "War of Words: The Competitive Dynamics of Legislative Processes". Proceedings of The Web Conference 2020. WWW '20. Taipei, Taiwan: Association for Computing Machinery: 2803–2809. doi:10.1145/3366423.3380041. ISBN 978-1-4503-7023-3.
  19. ↑ Kristof, Victor; Quelquejay-Leclère, Valentin; Zbinden, Robin; Maystre, Lucas; Grossglauser, Matthias; Thiran, Patrick (2019). "A User Study of Perceived Carbon Footprint". Infoscience. Retrieved 2021-06-07.
  20. ↑ Chumbalov, Daniyar; Maystre, Lucas; Grossglauser, Matthias (2020-07-16). "Scalable and Efficient Comparison-based Search without Features". Proceedings of the 37 International Conference on Machine Learning. Retrieved 2021-06-07.
  21. ↑ Kristof, Victor; Quelquejay-Leclère, Valentin; Zbinden, Robin; Maystre, Lucas; Grossglauser, Matthias; Thiran, Patrick (2019). "A User Study of Perceived Carbon Footprint". Infoscience. Retrieved 2021-06-07.
  22. ↑ Maystre, Lucas; Grossglauser, Matthias (2017). "Just Sort It! A Simple and Effective Approach to Active Preference Learning". Proceedings of Machine Learning Research. Retrieved 2021-06-07.
  23. ↑ Duffield, N.G.; Grossglauser, M. (June 2001). "Trajectory sampling for direct traffic observation". IEEE/ACM Transactions on Networking. 9 (3): 280–292. doi:10.1109/90.929851. ISSN 1063-6692.
  24. ↑ Duffield, N.; Grossglauser, M. "Trajectory sampling with unreliable reporting". IEEE INFOCOM 2004. IEEE. doi:10.1109/infcom.2004.1354570. ISBN 0-7803-8355-9.
  25. ↑ Duffield, N.; Grossglauser, M. "Trajectory sampling with unreliable reporting". IEEE INFOCOM 2004. IEEE. doi:10.1109/infcom.2004.1354570. ISBN 0-7803-8355-9.
  26. ↑ "Packet Sampling (psamp) -". datatracker.ietf.org. Retrieved 2021-06-08.
  27. ↑ "Region 8 Fellows for the Class of 2021". IEEE Region 8. 2020-12-03. Retrieved 2021-06-04.
  28. ↑ ComCom, Federal Communications Commission. "Matthias Grossglauser". www.comcom.admin.ch. Retrieved 2021-06-07.
  29. ↑ "SIRA". Swiss Informatics Society SI. Retrieved 2021-06-07.
  30. ↑ "COSN - Conference on Online Social Networks (COSN'14)". cosn.acm.org. Retrieved 2021-06-04.
  31. ↑ Etter, Vincent; Herzen, Julien; Grossglauser, Matthias; Thiran, Patrick (2014). "Mining democracy". Proceedings of the second edition of the ACM conference on Online social networks - COSN '14. Dublin, Ireland: ACM Press: 1–12. doi:10.1145/2660460.2660476. ISBN 978-1-4503-3198-2.
  32. ↑ "SIGCOMM Rising Star Award Winners". SIGCOMM. Retrieved 2021-06-04.{{cite web}}: CS1 maint: url-status (link)
  33. ↑ Grossglauser, M.; Tse, D.N.C. (August 2002). "Mobility increases the capacity of ad hoc wireless networks". IEEE/ACM Transactions on Networking. 10 (4): 477–486. doi:10.1109/TNET.2002.801403. ISSN 1063-6692.
  34. ↑ "Matthias Grossglauser Cor Baayen Award Winner 1998". www.ercim.eu. Retrieved 2021-06-04.

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