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Martin Haenggi

Martin Haenggi


Phone: 574-631-6103

Office: 274 Fitzpatrick Hall


M.Sc. (EE): Swiss Federal Institute of Technology (ETH), 1995.

Ph.D. (EE): Swiss Federal Institute of Technology (ETH), 1999.


Martin Haenggi is a Professor of electrical engineering and a Concurrent Professor of applied mathematics and statistics at the University of Notre Dame, Indiana. He received the M.Sc. and Ph.D. degrees in electrical engineering from the Swiss Federal Institute of Technology (ETH) in 1995 and 1999, respectively.
He has published over 150 articles in journals and conferences, and he is the author of the upcoming textbook "Stochastic Geometry for Wireless Networks" (Cambridge, 2012) and a coauthor of the monograph "Interference in Large Wireless Networks" (NOW, 2008).
His scientific interests include wireless communications and networking, with an emphasis on theoretical and experimental methods for the analysis and design of ad hoc, mesh, cognitive, sensor, and cellular networks.
He serves as a TPC co-chair of the Communication Theory Symposium of the 2012 International Conference on Communications and on the Steering Committee of the IEEE Transactions on Mobile Computing. Previously he served on the editorial board of the Journal of Ad Hoc Networks (2005-08), the ACM Transactions on Sensor Networks (2009-11), the IEEE Transactions on Mobile Computing (2008-11), and as a Guest Editor for the IEEE Journal on Selected Areas in Communications. He was the general co-chair of the 2009 International Workshop on Spatial Stochastic Models for Wireless Networks and is a co-organizer of the 2012 DIMACS Workshop on Connectivity and Resilience for Large-Scale Networks.
He received the ETH Medal for both his M.Sc. and Ph.D. theses, a
CAREER award from the U.S. National Science Foundation in 2005, and
the 2010 IEEE Communications Society Best Tutorial Paper award.

Summary of Activities/Interests

Research Interests: - Information Theory for Mobile Ad Hoc Networks (IT-MANET): The goal of this project is to find the fundamental performance limits of mobile ad hoc networks in terms of throughput, delay, and reliability. It involves 12 investigators from 8 institutions and it support by DARPA/IPTO. - Networked Sensing in Built and Natural Environments: This is a multi- year multi-departmental project addressing distributed contaminant detection and propagation using a sparse stationary and mobile wireless sensor networks. It is supported by DTRA. - Geometric Analysis of Ad Hoc and Sensor Networks: This project derives analytical performance results for wireless networks modeled by general stochastic points processes. - Performance of Consensus Algorithms on Wireless Networks: The goal of this project is to analyze the convergence behavior of consensus algorithms under realistic communication constraints such as interference and fading. For more details, please visit Dr. Haenggi's personal page (refer to

Courses: Digital Signal Processing
                 Stochastic Geometry for Wireless Networks
                 Communication Networks


Three Notre Dame Faculty Named IEEE Fellows

December 6, 2013

Danny Z. Chen, professor of computer science and engineering; Martin Haenggi, professor of electrical engineering; and J. Nicholas Laneman, associate professor of electrical engineering, have been named fellows of the Institute for Electrical and Electronics Engineers (IEEE).

New Book Is First to Cover Spatial Modeling and Analysis of 
Wireless Networks at Introductory Level

February 15, 2013

A new book, “Stochastic Geometry for Wireless Networks,” by Martin Haenggi, a professor of electrical engineering and concurrent professor of applied and computational mathematics and statistics at the University of Notre Dame, combines theory and hands-on analytical techniques to guide readers through the modeling and analysis of wireless network performance.

Haenggi Secures $444,499 NSF Award to Analyze and Engineer Interference

October 10, 2012

The Cisco Visual Networking Index (VNI) 2010-2015 explains that the explosive growth of 160 percent for mobile data traffic has put tremendous pressure on existing mobile spectrum and networks. These demands keep growing exponentially, while the available spectrum remains scarce. As a result, cellular, WiFi, mesh and cognitive networks are increasingly interference-limited.


Graduate Students: