Iraj Saniee

Murray Hill, NJ, USA
Group Leader

Research Interests


Iraj Saniee is Head of the Mathematics & Algorithms Research Group at Nokia Bell Labs, in Murray Hill, NJ. The Group consists of multiple departments focusing on Communication, Systems, Networks and Machine Learning in Murray Hill (USA), Cambridge (United Kingdom), and Paris-Saclay (France). 

Iraj's research interests span a spectrum of topics in applied mathematics, modeling & analysis and optimization of communication networks and systems with focus on the structure and architecture of networks, scalable algorithms for network problems, application to design tools and control mechanisms for emerging systems and more recently foundations and applications of machine learning to communication systems and services.

Prior to Bell Labs and until 1998, he was a research director in the Information Sciences Lab at Bellcore in Morristown, New Jersey.

In addition to his research in support of Nokia products and services, in the past decade Iraj has been the recipient of DARPA, AFOSR and NIST contracts and grants on such topics as control mechanisms for MANETs, large-scale geometry of networks and inference from large graphs. His current focus is on deep learning, large graph analytics and distributed self-organizing network control.


Featured Quote

I work in Algorithms, driven by mathematics and sound foundations, and motivated by problems that arise in communication systems and services.  This is diffferent from finding a quick recipe for an instance of a problem using a good guess.  The former aims for broad generalizability and the latter for immediate utility.  Both approaches have had spectacular successes in the past 70 years since programable computing machines came into being.  The simplex algorithm and the Metropolis algorithm are examples of the former and rule-based systems are examples of the latter.  The two approaches are different and represent essentially different views of the world. 

I also (try to) follow John Tukey's dictum: An approximate answer to the right question (which is often vague) is far better than an exact answer to the wrong question (which can always be made precise).


Ph. D. degree in operations research and control theory,  University of Cambridge
M. A. (Hon.) degree in mathematics,  University of Cambridge
B. A. (Hon.) degree in mathematics,  University of Cambridge

Professional activities

Serves on program committees of numerous ACM, IEEE and INFORMS conferences and workshops including NeurIPS, ICML, WebConf, KDD, WSDM, and Infocom

Has served as reviewer for NSF, NSF of Ireland, AFOSR, INRIA and other research granting agencies

Member/past member of IFIP WG 7.3IEEE, and INFORMS 

Former member of the American Mathematical SocietySociety for Industrial and Applied Mathematics

Past Chair of the Telecommunication Section of INFORMS

Formerly on the Editorial Boards of Operations Research and IEEE Transactions on Information Theory.

Selected articles and publications


Truncated Lottery Ticket for Deep Pruning 
Iraj Saniee, L. Zhang, B. Magneta
Proceedings of ICIP, Bordeaux, Oct 2022.

An analytical solution to the multicommodity network fow problem with weighted random routing 
O. Narayan, Iraj Saniee
Applied Network Science, Springer Open Access, June 16, 2021.

Efficient Deep Approximation of GMMs
S. Jalali, C. Nuzman, Iraj Saniee
Proceedings of 33rd NeurIPS Conference, December 2019 (see also the summary poster)

Towards clustering high-dimensional Gaussian Mixture clouds in linear running time 
D. Kushnir, S. Jalali, Iraj Saniee
Proceedings of 21 AI-Stats Conference, PMLR 89: 1379-1387, 2019.

Digital innovation networks at the nexus of new productivity growth (extension of 2017 paper with inclusion of India and China)
S. Kamat, S. Prakash, Iraj Saniee, M. Weldon.  

Efficient Deep Learning of GMMs
S. Jalali, C. Nuzman, Iraj Saniee
arXiv, February 2019

Fast approximation algorithms for p-centres in large δ-hyperbolic graphs 
K. Edwards, S. Kennedy, Iraj Saniee
Algorithmica, Vol 80, Issue 12, pp 3889-3907,  Dec 2018, https://doi.org/10.1007/s00453-018-0425-6

Will productivity growth return in the new digital era?
Iraj Saniee, S. Kamas, S. Prakash, M. Weldon
Bell Labs Technical Journal, Spring 2017

Quantifying the benefits of infrastructure sharing 
M. Andrews, M. Bradonjic, Iraj Saniee, NetEcon '17
Proceedings of 12th Workshop on Economics of Networks, Systems, MIT, 2017

Fast approximation algorithms for p-centres in large δ-hyperbolic graphs 
K. Edwards, S. Kennedy, Iraj Saniee
Proceedings of WAW16, Springer, 2016. 

Scalable algorithms for large and dynamic networks: Reducing big data for small computations 
Iraj Saniee
Bell Labs Technical Journal, Vol: 20, pp 23-33, Wiley, July 2015

Lack of hyperbolicity in asymptotic Erdos-Renyi random graphs
O. Narayan, Iraj Saniee, G. H. Tucci
Internet Mathematics, Vol. 11-3, Taylor & Francis, May 2015.

Bootstrap percolation in periodic trees
M. Bradonjic, Iraj Saniee
ANALCO15, SIAM, January 2015.

Non-concave utility maximization in locally coupled systems with applications to wireless & wireline networks 
S. Borst, M. Markakis, Iraj Saniee,
IEEE Trans. on Networking, Vol. 22, Issue: 2, pages: 674-687, April 2014.

Spectral analysis of communication networks using Dirichlet eigenvalues
A. Tsiatas, Iraj Saniee, O. Narayan, Matthew Andrews
Proc. of ACM WWW2013, Rio de Janiero, May 2013.

Bootstrap percolation on random geometric graphs
M. Bradonjic, Iraj Saniee
Extended abstract: Proc. of SIAM Analytic Algos and Combi.Conf, New Orleans, Jan. 2013
Full article: Prob. in Engin. and Inform. Sciences, Cambridge University Press, 2014.

Large-scale curvature of networks
O. Narayan, Iraj Saniee
Physical Review E (statistical physics), Vol. 84, No. 066108, Dec. 2011.

Scaling of load in communication networks
O. Narayan, Iraj Saniee
Physical Review E (statistical physics), Vol. 82, No. 036102, Sep. 2010.

Decentralized control and optimization of networks with QoS-constrained services
Iraj Saniee
Proceedings of the IEEE-ICC 2009, Dresden, June 2009.

Combined network design and multi-period pricing: modeling, solution techniques and computation
D. Bienstock, O. Raskina, Iraj Saniee, Q. Wang
Operations Research, Vol. 54, No. 2, pp261-276, March-April 2006.

Dynamic optimization in cellular networks
S. C. Borst, A. Buvaneswari, L. M. Drabeck, M. J. Flanagan, J. M. Graybeal, G. K. Hampel, M. Haner, W. M. MacDonald, P. A. Polakos, G. Rittenhouse
Iraj Saniee, A. Weiss, P. A. Whiting
Bell Labs Technical Journal, Volume 10, Issue 2
Special Issue on Future Wireless Communications, p 99-119,
Wiley Interscience, Summer 2005.

Load characterization and load anomaly detection for Voice over IP traffic
M. Mandjes, Iraj Saniee, S. Stolyar
IEEE Trans. on Neural Networks, Special Issues on Adaptive Learning Systems in Communication Networks
Edtr. A. Parlos, Vol. 16, No. 5, pp1019-1026, Sep 2005.

Analytic description of shared restoration capacity for mesh networks
M. Bhardwaj, L. McCaughan, S.K. Korotky, Iraj Saniee
Journal of Optical Networking, Vol 4, No. 3, pp130-141, Feb. 2005.

Simplified layering and flexible bandwidth with TWIN
I. Widjaja, Iraj Saniee
Proceedings of Workshop on Future Directions in Network Architecture,
SIGComm 2004, Portland, Oregon, Aug 2004



Collective Behavior: from Cells to Societies, (IDR Team, Group A) Gene Robinson et al, Steering Committee, The National Academies Keck Future Initiative, NA Press, July 2015.

Bell Labs Technical Journal Special Issue on Self-Organizing and Self-Optimizing Networks, Iraj Saniee, U. Barth, Guest Editors, Vol. 15, Issue 3, Dec. 2010.

Complex Systems, (Task Group Summary 9) H. Eugene Stanley et al, Steering Committee, The National Academies Keck Future Initiative, NA Press, 2009.

New Trends in Network Design, Edited by W. Ben-Ameur, D. Bienstock and Iraj Saniee, Special issue of Annals of Operation Research (in conjunction with the International Network Optimization Conference Evry/Paris, 27-29 October, 2003), Vol. 146, No. 1, Sep 2006.

Load balancing in dynamic CDMA networks, S. Borst, G. Hampel, Iraj Saniee, P. Whiting, Handbook of Optimization in Telecommunications, Ed. P.M. Pardalos and M.G.C. Resende, Springer Science, 2006.

Heuristic Approaches for Telecommunications Network Management, Planning and Expansion, Edited by R. Doverspike and Iraj Saniee, Kluwer Academic Publishers, April 2000.