Patrick Thiran

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

Publications

Infoscience publications

Infoscience

Scalable constrained optimization

M.-L. Vladarean / N. H. B. Flammarion (Dir.)

Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-9906.

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. B�n�zit, 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

Patrick Thiran

Full Professor

Fields of expertise

Biography

Current and recent work

Publications

Infoscience publications

Infoscience

Scalable constrained optimization

Worst-Case Delay Analysis of Time-Sensitive Networks with Network Calculus

Time vs. Truth: Age-Distortion Tradeoffs and Strategies for Distributed Inference

Leveraging Unlabeled Data to Track Memorization

Evaluating, Exploiting, and Hiding Power Side-Channel Leakage of Remote FPGAs

Telecytologic diagnosis of cervical smears for triage of self-sampled human papillomavirus–positive women in a resource-limited setting: concept development before implementation

Deep Learning Generalization with Limited and Noisy Labels

Communication-efficient distributed training of machine learning models

A Network Calculus Analysis of Asynchronous Mechanisms in Time-Sensitive Networks

Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function

Momentum-Based Policy Gradient with Second-Order Information

Toward Internet Performance Transparency

Dynamic Personalized Ranking

The Role of Adaptivity in Source Identification with Time Queries

On the robustness of the metric dimension of grid graphs to adding a single edge

The power of adaptivity in source identification with time queries on the path

Sequential metric dimension for random graphs

Disparity Between Batches as a Signal for Early Stopping

Optimization methods for collaborative learning

Learning Self-Exciting Temporal Point Processes Under Noisy Observations

Discrete-Choice Mining of Social Processes

Generalization Comparison of Deep Neural Networks via Output Sensitivity

Using Dynamic Features for Automatic Cervical Precancer Detection

War of Words II: Enriched Models of Law-Making Processes

A Registration Method for Three-Dimensional Analysis of Bone Mineral Density in the Proximal Tibia

A Variational Inference Approach to Learning Multivariate Wold Processes

A complex networks approach to traffic flow theory: measures and models

Sub-Matrix Factorization for Real-Time Vote Prediction

War of Words: The Competitive Dynamics of Legislative Processes

Multi-armed Bandits in Action

A User Study of Perceived Carbon Footprint

Geometry of adversarial robustness of deep networks: methods and applications

Learning Hawkes Processes from a Handful of Events

Learning Hawkes Processes Under Synchronization Noise

Reliable and Robust Cyber-Physical Systems for Real-Time Control of Electric Grids

Bits through Time

A General Framework for Sensor Placement in Source Localization

Coordinate Descent with Bandit Sampling

Improving Throughput, Latency and Privacy with Hybrid Networks and Multipath Routing

Traffic Receipts for Network Transparency

Optimal Number of Paths with Multipath Routing in Hybrid Networks

High-Dimensional Inference on Dense Graphs with Applications to Coding Theory and Machine Learning

Multi-Armed Bandit in Action: Optimizing Performance in Dynamic Hybrid Networks

Learning without Smoothness and Strong Convexity

On the Delays in Time-Varying Networks: Does Larger Service-Rate Variance Imply Larger Delays?

Optimal Number of Paths with Multipath Routing in Hybrid Networks

Localizing the Source of an Epidemic Using Few Observations

Network Neutrality Inference using Network Tomography

Csma/ca in time and frequency domains

The effect of transmission variance on observer placement for source-localization

Back to the Source: an Online Approach for Sensor Placement and Source Localization

How CSMA/CA With Deferral Affects Performance and Dynamics in Power-Line Communications

Blowing in the Wind

Cybersecurity Solutions for Active Power Distribution Networks

Online Collaborative Prediction of Regional Vote Results

Uncovering Latent Behaviors in Ant Colonies

EMPoWER Hybrid Networks: Exploiting Multiple Paths over Wireless and ElectRical Mediums

From data to structures

Network Alignment: Theory, Algorithms, and Applications

Analysis and Enhancement of CSMA/CA With Deferral in Power-Line Communications

Observer Placement for Source Localization: the Effect of Budgets and Transmission Variance

Measuring, Modeling and Enhancing Power-Line Communications

Where You Are is Who You Are: User Identification by Matching Statistics

Traveling Salesman in Reverse: Conditional Markov Entropy for Trajectory Segmentation

Budgeted sensor placement for source localization on trees

Combine and Conquer

Real-Time Optimal Controls for Active Distribution Networks

Adaptive Selection Problems in Networked Systems

Electri-Fi Your Data: Measuring and Combining Power-Line Communications with WiFi

Flexible Spectrum Assignment for Local Wireless Networks

CSMA/CA in Time and Frequency Domains

Mining, Modeling and Predicting Mobility