World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
45
Citations
11104
World Ranking
3477
National Ranking
1281

Research.com Recognitions

  • 2002 - IEEE Fellow For contributions to the development of subspace signal processing algorithms

Overview

B.D. Van Veen is a researcher affiliated with the University of Wisconsin-Madison in the United States. Their work spans across multiple fields, focusing primarily on engineering, computer science, and psychology. Within these broad disciplines, Van Veen's research covers several subfields, including aerospace engineering, computational theory and mathematics, biomedical engineering, developmental and educational psychology, and experimental and cognitive psychology.

The scientist's research topics include an emphasis on topological and geometric data analysis, visual and cognitive learning processes, antenna design and analysis, advanced neuroimaging techniques and applications, innovative teaching and learning methods, functional brain connectivity studies, and microwave imaging and scattering analysis.

Van Veen has contributed to a variety of peer-reviewed publications in reputable venues. Their recent papers include:

  • "A Pilot Study of the Impact of Microwave Ablation on the Dielectric Properties of Breast Tissue" (2020, Sensors)
  • "Synthesis of Symmetric, Two-Element Biomimetic Antenna Arrays Using Singular Value Decomposition" (2023, IEEE Open Journal of Antennas and Propagation)
  • "An Electronically Reconfigurable Matching and Decoupling Network for Two-Element HF Antenna Arrays" (2024, IEEE Transactions on Antennas and Propagation)
  • "Development of an Intelligent Tutoring System That Assesses Internal Visualization Skills in Engineering Using Multimodal Triangulation" (2024, IEEE Transactions on Learning Technologies)
  • "Fast Topological Clustering with Wasserstein Distance" (2021, arXiv (Cornell University))

Van Veen frequently collaborates with a team of fellow researchers, including Tananun Songdechakraiwut, Nader Behdad, Martina A. Rau, Bryan M. Krause, and Matthew I. Banks. These collaborative efforts contribute to the interdisciplinary nature of their work.

Their research has been published multiple times in specific venues such as:

  • arXiv (Cornell University)
  • Sensors
  • IEEE Transactions on Learning Technologies
  • IEEE Open Journal of Antennas and Propagation
  • IEEE Transactions on Antennas and Propagation

In recognition of their contributions to engineering, B.D. Van Veen was named an IEEE Fellow in 2002 for work in the development of subspace signal processing algorithms.

Best Publications

  • Localization of brain electrical activity via linearly constrained minimum variance spatial filtering

    B.D. Van Veen;W. Van Drongelen;M. Yuchtman;A. Suzuki

  • Microwave imaging via space-time beamforming for early detection of breast cancer

    E.J. Bond;Xu Li;S.C. Hagness;B.D. Van Veen

  • An overview of ultra-wideband microwave imaging via space-time beamforming for early-stage breast-cancer detection

    Xu Li;E.J. Bond;B.D. Van Veen;S.C. Hagness

  • Microwave imaging via space-time beamforming: experimental investigation of tumor detection in multilayer breast phantoms

    Xu Li;S.K. Davis;S.C. Hagness;D.W. van der Weide

  • Development of Anatomically Realistic Numerical Breast Phantoms With Accurate Dielectric Properties for Modeling Microwave Interactions With the Human Breast

    E. Zastrow;S.K. Davis;M. Lazebnik;F. Kelcz

  • Three-dimensional microwave imaging of realistic numerical breast phantoms via a multiple-frequency inverse scattering technique.

    Jacob D. Shea;Panagiotis Kosmas;Susan C. Hagness;Barry D. Van Veen

  • MRI-Derived 3-D-Printed Breast Phantom for Microwave Breast Imaging Validation

    M. J. Burfeindt;T. J. Colgan;R. O. Mays;J. D. Shea

  • Random and pseudorandom inputs for Volterra filter identification

    R.D. Nowak;B.D. Van Veen

  • Breast Tumor Characterization Based on Ultrawideband Microwave Backscatter

    S.K. Davis;B.D. Van Veen;S.C. Hagness;F. Kelcz

  • Contrast-enhanced microwave imaging of breast tumors: a computational study using 3D realistic numerical phantoms

    J D Shea;P Kosmas;B D Van Veen;S C Hagness

  • Three-Dimensional Microwave Breast Imaging: Dispersive Dielectric Properties Estimation Using Patient-Specific Basis Functions

    D.W. Winters;J.D. Shea;P. Kosmas;B.D. Van Veen

  • Ultrawideband microwave breast cancer detection: a detection-theoretic approach using the generalized likelihood ratio test

    S.K. Davis;H. Tandradinata;S.C. Hagness;B.D. Van Veen

  • Causal Network Inference Via Group Sparse Regularization

    A Bolstad;B D Van Veen;R Nowak

  • Estimation of the Frequency-Dependent Average Dielectric Properties of Breast Tissue Using a Time-Domain Inverse Scattering Technique

    D.W. Winters;E.J. Bond;B.D. Van Veen;S.C. Hagness

  • Ultrawide-band microwave space-time beamforming for hyperthermia treatment of breast cancer: a computational feasibility study

    M. Converse;E.J. Bond;S.C. Hagness;B.D. Van Veen

  • Partially adaptive beamformer design via output power minimization

    B. Van Veen;R. Roberts

  • Estimating the Breast Surface Using UWB Microwave Monostatic Backscatter Measurements

    D.W. Winters;J.D. Shea;E.L. Madsen;G.R. Frank

  • Baseband Volterra filters for implementing carrier based nonlinearities

    G.M. Raz;B.D. van Veen

  • Minimum variance beamforming with soft response constraints

    B.D. van Veen

  • Eigenstructure based partially adaptive array design

    B.D. Van Veen

Frequent Co-Authors

Susan C. Hagness
Susan C. Hagness University of Wisconsin–Madison
Akbar M. Sayeed
Akbar M. Sayeed Independent Scientist / Consultant, US
John H. Booske
John H. Booske University of Wisconsin–Madison
Jianzhong Zhang
Jianzhong Zhang Samsung (United States)
Nader Behdad
Nader Behdad University of Wisconsin–Madison
Eko N. Onggosanusi
Eko N. Onggosanusi Samsung (United States)
Zoya Popovic
Zoya Popovic University of Colorado Boulder
Richard G. Baraniuk
Richard G. Baraniuk Rice University

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