Biography:Matthias Grossglauser

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Short description: Swiss communication engineer
Professor

Matthias Grossglauser
EPFL Matthias Grossglauser 2012.jpg
Matthias Grossglauser in 2012
Born1969 (age 54–55)
Niederbipp, Switzerland
NationalitySwitzerland
EducationCommunication systems
Alma materEPFL
Georgia Tech
Pierre and Marie Curie University
Scientific career
FieldsMachine learning, data analytics, network science, computational social science, discrete choice theory
InstitutionsEPFL (École 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 EPFL (École Polytechnique Fédérale de Lausanne) and co-director of the Information and Network Dynamics Laboratory (INDY) at EPFL's School of Computer and Communication Sciences School of Basic Sciences.[1][2]

Career

Grossglauser studied communication systems and electrical engineering at EPFL and at 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 EPFL's School of Computer and Communication Sciences. In 2007, he joined the 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 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 data analytics, and on their applications in network science, computational social sciences, and recommender systems. His fields of interest encompass among others graph mining, mobility mining, epidemics, discrete-choice models, active learning, and network traffic measurement.

Graph 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]

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.[10][11][12]

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 problems on epidemics under monitoring budget constraints.[13][14][15]

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.[16][17][18]

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.[19][20][21]

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 IP protocols and packet formats. Its development led to the formation of the PSAMP working group at the IETF that standardized TS, and has since become an official IETF standard.[22][23][24]

Distinctions

Grossglauser is a fellow of the IEEE (2021),[25] 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),[26] and a board member of the Swiss Informatics Research Association (SIRA).[27]

He is the recipient of the 2014 Best Paper Award at ACM Conference of Online Social Networks for his paper on “Mining Democracy”,[28][29] the 2012 Winning Algorithm Award at the "Nokia Mobile Data Challenge: Next Place Prediction," the 2006 ACM SIGCOMM/CoNEXT Rising Star Award,[30] the 2001 Best Paper Award at the IEEE INFOCOM for his paper on “Mobility Increases the Capacity of Ad-hoc Wireless Networks”,[7][31] and the 1998 Cor Baayen Award from the European Research Consortium for Informatics and Mathematics (ERCIM).[32]

Selected works

References

  1. 1.0 1.1 "INDY Lab - People". https://indy.epfl.ch/people. 
  2. 2.0 2.1 "18 new professors appointed at ETH Zurich and EPFL | ETH-Board". https://www.ethrat.ch/en/media/releases/appointments-dec20. 
  3. "Base de données sur les Élites suisses au XXe siècle". https://www2.unil.ch/elitessuisses/index.php?page=detailPerso&idIdentite=82818. 
  4. 4.0 4.1 ComCom, Federal Communications Commission. "Matthias Grossglauser" (in en). https://www.comcom.admin.ch/comcom/en/home/die-kommission/organisation/mitglieder/matthias-grossglauser.html. 
  5. "Lauréat du prix de thèse SPECIF" (in fr-FR). https://www.societe-informatique-de-france.fr/recherche/prix-de-these-gilles-kahn/laureat-specif/. 
  6. Matthias, Grossglauser. "Contrôle des Ressources de Réseaux sur des Échelles Temporelles Multiples". https://icapeople.epfl.ch/grossglauser/Papers/thesis_ltr.pdf. 
  7. 7.0 7.1 "Matthias Grossglauser". https://ieeexplore.ieee.org/author/37282494800. 
  8. Kristof, Victor; Grossglauser, Matthias; Thiran, Patrick (2020-04-20). "War of Words: The Competitive Dynamics of Legislative Processes" (in en). Proceedings of the Web Conference 2020. WWW '20 (Taipei Taiwan: ACM): 2803–2809. doi:10.1145/3366423.3380041. ISBN 978-1-4503-7023-3. https://dl.acm.org/doi/10.1145/3366423.3380041. 
  9. Salehi, Farnood; Trouleau, William; Grossglauser, Matthias; Thiran, Patrick (2019-11-01). "Learning Hawkes Processes from a Handful of Events". arXiv:1911.00292 [cs.LG].
  10. Kafsi, Mohamed; Braunschweig, Raphaël; Mersch, Danielle; Grossglauser, Matthias; Keller, Laurent; Thiran, Patrick (2016-06-30). "Uncovering Latent Behaviors in Ant Colonies" (in en). Proceedings of the 2016 SIAM International Conference on Data Mining. Proceedings (Society for Industrial and Applied Mathematics): 450–458. doi:10.1137/1.9781611974348.51. ISBN 978-1-61197-434-8. 
  11. 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. https://ieeexplore.ieee.org/document/7373324. 
  12. Tschopp, Dominique; Diggavi, Suhas; Grossglauser, Matthias (2015). "Hierarchical routing over dynamic wireless networks" (in en). Random Structures & Algorithms 47 (4): 669–709. doi:10.1002/rsa.20589. ISSN 1098-2418. https://onlinelibrary.wiley.com/doi/abs/10.1002/rsa.20589. 
  13. Salehi, Farnood; Trouleau, William; Grossglauser, Matthias; Thiran, Patrick (2019-11-01). "Learning Hawkes Processes from a Handful of Events". arXiv:1911.00292 [cs.LG].
  14. Trouleau, William; Etesami, Jalal; Grossglauser, Matthias; Kiyavash, Negar; Thiran, Patrick (2019-06-09). "Learning Hawkes Processes Under Synchronization Noise" (in en). https://infoscience.epfl.ch/record/271918. 
  15. 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. https://ieeexplore.ieee.org/document/8240646. 
  16. 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. https://doi.org/10.1145/3442381.3450131. 
  17. 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. https://doi.org/10.1145/3366423.3380041. 
  18. Kristof, Victor; Quelquejay-Leclère, Valentin; Zbinden, Robin; Maystre, Lucas; Grossglauser, Matthias; Thiran, Patrick (2019). "A User Study of Perceived Carbon Footprint" (in en). https://infoscience.epfl.ch/record/275472. 
  19. Chumbalov, Daniyar; Maystre, Lucas; Grossglauser, Matthias (2020-07-16). "Scalable and Efficient Comparison-based Search without Features" (in en). https://infoscience.epfl.ch/record/279530. 
  20. Kristof, Victor; Quelquejay-Leclère, Valentin; Zbinden, Robin; Maystre, Lucas; Grossglauser, Matthias; Thiran, Patrick (2019). "A User Study of Perceived Carbon Footprint" (in en). https://infoscience.epfl.ch/record/275472. 
  21. Maystre, Lucas; Grossglauser, Matthias (2017). "Just Sort It! A Simple and Effective Approach to Active Preference Learning" (in en). https://infoscience.epfl.ch/record/229163. 
  22. 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. http://dx.doi.org/10.1109/90.929851. 
  23. Duffield, N.; Grossglauser, M. (2004). "Trajectory sampling with unreliable reporting". IEEE Infocom 2004. 3. IEEE. 1570–1581. doi:10.1109/infcom.2004.1354570. ISBN 0-7803-8355-9. http://dx.doi.org/10.1109/infcom.2004.1354570. 
  24. "Packet Sampling (psamp) -". https://datatracker.ietf.org/wg/psamp/about/. 
  25. "Region 8 Fellows for the Class of 2021" (in en-US). 2020-12-03. https://ieeer8.org/news/region-8-fellows-for-the-class-of-2021/. 
  26. ComCom, Federal Communications Commission. "Matthias Grossglauser" (in en). https://www.comcom.admin.ch/comcom/en/home/die-kommission/organisation/mitglieder/matthias-grossglauser.html. 
  27. "SIRA" (in en-US). https://swissinformatics.org/en/communities/sections/sira/. 
  28. "COSN - Conference on Online Social Networks (COSN'14)". https://cosn.acm.org/2014/program.html. 
  29. Etter, Vincent; Herzen, Julien; Grossglauser, Matthias; Thiran, Patrick (2014). "Mining democracy" (in en). Proceedings of the Second Edition of the ACM Conference on Online Social Networks - COSN '14. Cosn '14 (Dublin, Ireland: ACM Press): 1–12. doi:10.1145/2660460.2660476. ISBN 978-1-4503-3198-2. http://dl.acm.org/citation.cfm?doid=2660460.2660476. 
  30. "SIGCOMM Rising Star Award Winners". https://www.sigcomm.org/awards/sigcomm-rising-stars. 
  31. Grossglauser, M.; Tse, D.N.C. (August 2002). "Mobility increases the capacity of ad hoc wireless networks" (in en). IEEE/ACM Transactions on Networking 10 (4): 477–486. doi:10.1109/TNET.2002.801403. ISSN 1063-6692. https://ieeexplore.ieee.org/document/1026005. 
  32. "Matthias Grossglauser Cor Baayen Award Winner 1998". https://www.ercim.eu/publication/Ercim_News/enw36/award.html. 

External links