World's Best Scientists 2026 revealed!
Nicholas D. Sidiropoulos

Nicholas D. Sidiropoulos

D-Index & Metrics

Computer Science

D-Index
74
Citations
26133
World Ranking
1470
National Ranking
764

Research.com Recognitions

  • 2009 - IEEE Fellow For contributions to signal processing for communications

Overview

Nicholas D. Sidiropoulos is affiliated with the University of Virginia in the United States. Their research spans several fields, primarily Computer Science and Engineering. Within these broad domains, their work focuses on subfields such as Computational Mathematics, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, and Molecular Biology.

The scientist's research encompasses multiple specialized topics, including:

  • Tensor decomposition and applications
  • Advanced MIMO Systems Optimization
  • Wireless Communication Networks Research
  • Blind Source Separation Techniques
  • Advanced Graph Neural Networks
  • Cancer Genomics and Diagnostics
  • Data Mining Algorithms and Applications

They have coauthored frequently with several researchers. The top coauthors include:

  • Kadir C. Akdemir
  • Aritra Konar
  • Isidro Cortés-Ciriano
  • Yilong Li
  • Peter J. Park

Sidiropoulos has published extensively in a number of scientific venues. Their most frequent publication outlets consist of:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Nature Genetics
  • IEEE Transactions on Wireless Communications

Their recent scholarly output reflects diverse interests, especially within genomics and signal processing. Selected papers include:

  • Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing, 2020, Nature Genetics
  • Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer, 2020, Nature Genetics
  • Genomic footprints of activated telomere maintenance mechanisms in cancer, 2020, Nature Communications
  • Structural variations in cancer and the 3D genome, 2022, Nature Reviews Cancer
  • Generalized Canonical Correlation Analysis: A Subspace Intersection Approach, 2021, IEEE Transactions on Signal Processing

In recognition of their contributions to signal processing for communications, Nicholas D. Sidiropoulos was designated an IEEE Fellow in 2009.

Best Publications

  • Tensor Decomposition for Signal Processing and Machine Learning

    Nicholas D. Sidiropoulos;Lieven De Lathauwer;Xiao Fu;Kejun Huang

  • Transmit beamforming for physical-layer multicasting

    N.D. Sidiropoulos;T.N. Davidson;Zhi-Quan Luo

  • Learning to Optimize: Training Deep Neural Networks for Interference Management

    Haoran Sun;Xiangyi Chen;Qingjiang Shi;Mingyi Hong

  • Parallel factor analysis in sensor array processing

    N.D. Sidiropoulos;R. Bro;G.B. Giannakis

  • On downlink beamforming with greedy user selection: performance analysis and a simple new algorithm

    G. Dimic;N.D. Sidiropoulos

  • Blind PARAFAC receivers for DS-CDMA systems

    N.D. Sidiropoulos;G.B. Giannakis;R. Bro

  • On the uniqueness of multilinear decomposition of N-way arrays

    Nicholas D. Sidiropoulos;Rasmus Bro

  • Towards K-means-friendly spaces: simultaneous deep learning and clustering

    Bo Yang;Xiao Fu;Nicholas D. Sidiropoulos;Mingyi Hong

  • Convex Optimization-Based Beamforming

    Alex B Gershman;Nicholas D Sidiropoulos;Shahram Shahbazpanahi;Mats Bengtsson

  • Quality of Service and Max-Min Fair Transmit Beamforming to Multiple Cochannel Multicast Groups

    E. Karipidis;N.D. Sidiropoulos;Zhi-Quan Luo

  • Fast nearest neighbor search in medical image databases

    Flip Korn;Nikolaos Sidiropoulos;Christos Faloutsos;Eliot Siegel

  • Tensors for Data Mining and Data Fusion: Models, Applications, and Scalable Algorithms

    Evangelos E. Papalexakis;Christos Faloutsos;Nicholas D. Sidiropoulos

  • Space-time processing for MIMO communications

    Alex B Gershman;Alex B Gershman;Nikos Sidiropoulos

  • Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications

    Xiao Fu;Kejun Huang;Nicholas D. Sidiropoulos;Wing-Kin Ma

  • Tensor Algebra and Multidimensional Harmonic Retrieval in Signal Processing for MIMO Radar

    Dimitri Nion;Nicholas D Sidiropoulos

  • Learning to optimize: Training deep neural networks for wireless resource management

    Haoran Sun;Xiangyi Chen;Qingjiang Shi;Mingyi Hong

  • Non-Negative Matrix Factorization Revisited: Uniqueness and Algorithm for Symmetric Decomposition

    Kejun Huang;Nicholas D. Sidiropoulos;Ananthram Swami

  • On Kruskal's uniqueness condition for the Candecomp/Parafac decomposition

    Alwin Stegeman;Nicholas D. Sidiropoulos

  • Adaptive Algorithms to Track the PARAFAC Decomposition of a Third-Order Tensor

    D. Nion;N.D. Sidiropoulos

  • Fast and effective retrieval of medical tumor shapes

    P. Korn;N. Sidiropoulos;C. Faloutsos;E. Siegel

  • Online data mining for co-evolving time sequences

    B.-K. Yi;N.D. Sidiropoulos;T. Johnson;H.V. Jagadish

  • Quality of Service and Max-Min Fair Transmit Beamforming to Multiple Cochannel

    Eleftherios Karipidis;Nicholas D. Sidiropoulos;Zhi-Quan Luo

Frequent Co-Authors

Georgios B. Giannakis
Georgios B. Giannakis University of Minnesota
Christos Faloutsos
Christos Faloutsos Carnegie Mellon University
Ananthram Swami
Ananthram Swami United States Army Research Laboratory
Evangelos E. Papalexakis
Evangelos E. Papalexakis University of California, Riverside
Zhi-Quan Luo
Zhi-Quan Luo Chinese University of Hong Kong, Shenzhen
Wing-Kin Ma
Wing-Kin Ma Chinese University of Hong Kong
Leandros Tassiulas
Leandros Tassiulas Yale University
Alex B. Gershman
Alex B. Gershman Technical University of Darmstadt
Mingyi Hong
Mingyi Hong University of Minnesota
Rasmus Bro
Rasmus Bro University of Copenhagen

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