Patrick Thiran is a full professor in network and systems theory at the School of Computer and Communication Sciences at EPFL. He holds an electrical engineering degree from the Université Catholique de Louvain, Louvain-la-Neuve, Belgium, an M.Sc. degree in electrical engineering from the University of California at Berkeley, USA, and he received the PhD degree from EPFL, in 1996. He became an adjunct professor in 1998, an assistant professor in 2002, an associate professor in 2006 and a full professor in 2011. He was with Sprint Advanced Technology Labs in Burlingame, California, in 2000-01.
His research interests are in communication and social networks, performance analysis and stochastic models. He is currently active in the analysis and design of wireless and PLC networks (scaling laws, medium access control), in network monitoring (network tomography, multi-layer networks), and data-driven network science. He also contributed to network calculus and to the theory of locally coupled neural networks and self-organizing maps.
He served as an associate editor for the IEEE Transactions on Circuits and Systems in 1997-99 and for the IEEE/ACM Transactions on Networking in 2006-10. He is currently on the editorial board of the IEEE Journal on Selected Areas in Communication. He is/was on the program committee of different conferences in networking, including ACM Sigcomm, Sigmetrics, IMC, CoNext and IEEE Infocom. He was TPC chair of AMC IMC 2011 and CoNext 2012. He is a Fellow of the Belgian American Educational Foundation and of the IEEE. He received the 1996 EPFL Doctoral Prize and the 2008 Crédit Suisse Teaching Award.
Current and recent work
Wireless and PLC networks: scaling laws, MAC performance.
Network loss tomography.
Random gossip algorithms.
Source location of epidemics.
Mobility data mining and population sampling.
Patrick Thiran's research is sponsored by the Swiss National Science Fondation, the Hasler Foundation, the Gates Foundation, Nokia.
Fields of expertise
Stochastic models, Random networks, Data-driven network science, Wireless networks, Network measurements, Dynamical systems
|P. Pinto, P. Thiran and M. Vetterli
Physical Review Letters, vol. 109, num. 068702, 2012
|Locating the Source of Diffusion in Large-Scale Networks|
|V. Etter, M. Grossglauser and P. Thiran
Proceedings of the first ACM conference on Online Social Networks (COSN'13)
|Launch Hard or Go Home! Predicting the Success of Kickstarter Campaigns|
|F. Movahedi Naini, O. Dousse, P. Thiran and M. Vetterli
Proc. ISIT, Saint-Petersburg, Russia, 2011.
|Population Size Estimation Using a Few Individuals as Agents|
|F. Bénézit, P. Thiran and M. Vetterli
IEEE Journal of Selected Topics in Signal Processing, vol. 5(4), p. 791-804, 2011.
|The Distributed Multiple Voting Problem|
|A. Aziz, D. Starobinski and P. Thiran
IEEE/ACM Transactions on Networking, vol. 19(4), Aug. 2011
|Understanding and Tackling the Root Causes of Instability in Wireless Mesh Networks|
|D. Ghita, H. Nguyen, M. Kurant, K. Argyraki and P. Thiran
Proc. IEEE Infocom, San Diego, CA, 2010.
|Netscope: Practical Network Loss Tomography|
|M. Durvy, O. Dousse and P. Thiran
IEEE Journal on Selected Areas in Communications, vol. 27(7), pp. 1093-1104, 2009.
|On the Fairness of Large CSMA Networks|
|M. Kafsi, M. Grossglauser and P. Thiran
IEEE Transactions on Information Theory, vol. 59(9), pp. 5577 - 5583, 2013
|The Entropy of Conditional Markov Trajectories|
InfoscienceOnline data is not available
Teaching & PhD
- Communication Systems,
- Computer Science
- Doctoral program in computer and communication sciences
- Doctoral Program Digital Humanities
Past PhD StudentsAziz Adel ...
Bénézit Florence ...
Dousse Olivier ...
Durvy Mathilde ...
Etter Vincent ...
Ghita Denisa Gabriela ...
Henri Sébastien Christophe ...
Herzen Julien Pierre Sacha ...
Kafsi Mohamed ...
Kurant Maciej ...
Mas Carmen ...
Movahedi Naini Farid ...
Nguyen Xuan Hung ...
Spinelli Brunella Marta ...
Vlachou Christina ...
Worm Frédéric ...
Zhang Runwei ...
Linear and nonlinear dynamical systems are found in all fields of science and engineering. After a short review of linear system theory, the class will explain and develop the main tools for the qualitative analysis of nonlinear systems, both in discrete-...