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Sergiy A. Vorobyov

Sergiy A. Vorobyov

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
49
Citations
11191
World Ranking
2904
National Ranking
24

Overview

Sergiy A. Vorobyov is affiliated with Aalto University in Finland and has contributed extensively to the fields of Engineering and Computer Science through a focused research agenda. Their work spans various subfields including Signal Processing, Computational Mechanics, Aerospace Engineering, Electrical and Electronic Engineering, and Artificial Intelligence.

The scientist's research primarily explores topics related to Direction-of-Arrival Estimation Techniques, Sparse and Compressive Sensing Techniques, Advanced Adaptive Filtering Techniques, Antenna Design and Optimization, Radar Systems and Signal Processing, Blind Source Separation Techniques, and Speech and Audio Processing.

Vorobyov has published prolifically across multiple venues. The most frequent publication platforms include:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • Signal Processing
  • IEEE Journal of Selected Topics in Signal Processing
  • IEEE Signal Processing Letters

Several recent papers illustrate the scope and focus of their work:

  • "Twenty-Five Years of Advances in Beamforming: From convex and nonconvex optimization to learning techniques" (2023), published in IEEE Signal Processing Magazine
  • "Tensor Decompositions in Wireless Communications and MIMO Radar" (2021), published in IEEE Journal of Selected Topics in Signal Processing
  • "Multimodal image fusion via coupled feature learning" (2022), published in Signal Processing
  • "DOA Estimation for Transmit Beamspace MIMO Radar via Tensor Decomposition With Vandermonde Factor Matrix" (2022), published in IEEE Transactions on Signal Processing
  • "Transmit Beamspace DDMA Based Automotive MIMO Radar" (2021), published in IEEE Transactions on Vehicular Technology

Vorobyov has collaborated frequently with several co-authors, including:

  • Esa Ollila
  • Yongwei Huang
  • Feng Xu
  • Endrit Dosti
  • Themistoklis Charalambous

Best Publications

  • Robust adaptive beamforming using worst-case performance optimization: a solution to the signal mismatch problem

    S.A. Vorobyov;A.B. Gershman;Zhi-Quan Luo

  • Phased-MIMO Radar: A Tradeoff Between Phased-Array and MIMO Radars

    Aboulnasr Hassanien;Sergiy A Vorobyov

  • Toward Millimeter-Wave Joint Radar Communications: A signal processing perspective

    Kumar Vijay Mishra;M.R. Bhavani Shankar;Visa Koivunen;Bjorn Ottersten

  • Robust Adaptive Beamforming Based on Steering Vector Estimation With as Little as Possible Prior Information

    Arash Khabbazibasmenj;S. A. Vorobyov;A. Hassanien

  • Transmit Energy Focusing for DOA Estimation in MIMO Radar With Colocated Antennas

    A Hassanien;S A Vorobyov

  • Principles of minimum variance robust adaptive beamforming design

    Sergiy A. Vorobyov

  • Collaborative beamforming for wireless sensor networks with Gaussian distributed sensor nodes

    M.F.A. Ahmed;S.A. Vorobyov

  • Spectrum Sharing in Wireless Networks via QoS-Aware Secondary Multicast Beamforming

    K.T. Phan;S.A. Vorobyov;N.D. Sidiropoulos;C. Tellambura

  • Robust Adaptive Beamforming Using Sequential Quadratic Programming: An Iterative Solution to the Mismatch Problem

    A. Hassanien;S.A. Vorobyov;K.M. Wong

  • Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis.

    Sergiy A. Vorobyov;Andrzej Cichocki

  • Adaptive Virtual Waveform Design for Millimeter-Wave Joint Communication–Radar

    Preeti Kumari;Sergiy A. Vorobyov;Robert W. Heath

  • Power allocation in wireless multi-user relay networks

    K.T. Phan;Tho Le-Ngoc;S.A. Vorobyov;C. Tellambura

  • Adaptive beamforming with joint robustness against mismatched signal steering vector and interference nonstationarity

    S.A. Vorobyov;A.B. Gershman;Zhi-Quan Luo;Ning Ma

  • On the Relationship Between Robust Minimum Variance Beamformers With Probabilistic and Worst-Case Distortionless Response Constraints

    S.A. Vorobyov;H. Chen;A.B. Gershman

  • Twenty-Five Years of Advances in Beamforming: From convex and nonconvex optimization to learning techniques

    Unknown

  • Efficient Transmit Beamspace Design for Search-Free Based DOA Estimation in MIMO Radar

    Arash Khabbazibasmenj;Aboulnasr Hassanien;Sergiy A. Vorobyov;Matthew W. Morency

  • Cognitive radio networks

    Xuemin Hong;Zengmao Chen;Cheng-Xiang Wang;S.A. Vorobyov

  • Fast Algorithms for Designing Unimodular Waveform(s) With Good Correlation Properties

    Yongzhe Li;Sergiy A. Vorobyov

  • Sparse channel estimation with l p -norm and reweighted l 1 -norm penalized least mean squares

    Omid Taheri;Sergiy A. Vorobyov

  • Optimal Bandwidth and Power Allocation for Sum Ergodic Capacity Under Fading Channels in Cognitive Radio Networks

    Xiaowen Gong;Sergiy A Vorobyov;Chintha Tellambura

  • Maximum likelihood direction-of-arrival estimation in unknown noise fields using sparse sensor arrays

    S.A. Vorobyov;A.B. Gershman;K.M. Wong

Frequent Co-Authors

Alex B. Gershman
Alex B. Gershman Technical University of Darmstadt
Aboulnasr Hassanien
Aboulnasr Hassanien Wright State University
Hai Jiang
Hai Jiang University of Alberta
Chintha Tellambura
Chintha Tellambura University of Alberta
John Thompson
John Thompson University of Edinburgh
Zhi-Quan Luo
Zhi-Quan Luo Chinese University of Hong Kong, Shenzhen
Cheng-Xiang Wang
Cheng-Xiang Wang Southeast University
Martin Haardt
Martin Haardt Ilmenau University of Technology
Robert W. Heath
Robert W. Heath University of California, San Diego
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science

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