Biography
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, Iraj has been the recipient of many DARPA, AFOSR and NIST grants and contracts 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
- CSI Compression for Massive MIMO: Model-Based or Data-Driven? J. Chen, W. J. Hillery, K. R. Mestav, C. Nuzman, Iraj Saniee, and Y. Xing. IEEE Wireless Communications, to appear February 2025.
- Detecting and adapting to CSI feedback drift in data-driven compression for MIMO systems. X. Wang, K. Mestav, C. Nuzman, Iraj Saniee. IEEE's ICML-CN Conference, Stockholm, Sweden, May 2024.
- Fair Allocation in Crowd-Sourced Systems. M. Assif, W. Kennedy, Iraj Saniee. Special Issue on Computational Social Choice, Games, Vol 14, Issue 4, August 2024.
- Fair Allocation in Crowd-Sourced Systems. M. Assif, W. Kennedy, Iraj Saniee. Poster Session, ACM EC23, London, July 2023 and ArXiv, May 2023.
- Truncated Lottery Ticket for Deep Pruning. Iraj Saniee, L. Zhang, B. Magnetta. Proceedings of ICIP, Bordeaux, Oct 2022.
- An analytical solution to the multicommodity network flow 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
- Some historical background to Math Research at Bell Labs. Iraj Saniee, Bell Labs, 2016.
- 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 Transactions 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. Proceedings of ACM WWW2013, Rio de Janiero, May 2013.
- Bootstrap percolation on random geometric graphs. M. Bradonjic, Iraj Saniee. Extended abstract: Proceedings of SIAM Analytic Algorithms and Combinatorics Conference (ANALCO), New Orleans, Jan. 2013. Full article: Probability in Engineering and Information 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, ACM SIGComm, Portland, Oregon, Aug 2004
11,188,617 Method and network node for internet-of-things (IoT) feature selection for storage and computation
10,545,629 Graphical interface for an augmented intelligence system
10,142,407 Centralized load balancer with weighted hash function
9,104,487 Reducing response time variance of virtual processors
9,100,347 Method of burst scheduling in a communication network
8,937,957 Intelligent media gateway selection for multimedia communication sessions
8,606,274 Method of load-aware dynamic handover in cellular networks
8,537,835 Methods and apparatus for self-organized caching in a content delivery network
8,055,134 Optical telecommunications network and method
7,941,156 System of wireless base stations employing shadow prices for power load balancing
7,885,803 System and method for simulating traffic loads in packetized communication networks
7,729,704 Power load balancing in cellular networks employing shadow prices of base stations
7,653,042 Method of burst scheduling in a communication network
7,633,865 Network operations control in packet data networks
7,573,815 Flow control and congestion management for random scheduling in time-domain wavelength interleaved networks
7,561,534 Methods of network routing having improved resistance to faults affecting groups of links subject to common risks
7,466,913 Method for WDM optical networks including alternate routes for fault recovery
7,340,172 Optical WDM-TDM network
7,283,753 System and method for WDM communication with interleaving of optical signals for efficient wavelength utilization
7,283,552 Method of scheduling bursts of data for transmission in a communication network
7,280,526 Fast and scalable approximation methods for finding minimum cost flows with shared recovery strategies, and system using same
7,058,296 Design method for WDM optical networks including alternate routes for fault recovery
5,546,542 Method for efficiently determining the direction for routing a set of anticipated demands between selected nodes on a ring communication network
- 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.
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 7.3, IEEE, and INFORMS Former member of the American Mathematical Society, Society 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.
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