World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
68
Citations
26048
World Ranking
2038
National Ranking
1031

Electronics and Electrical Engineering

D-Index
68
Citations
26018
World Ranking
988
National Ranking
419

Overview

Rick S. Blum is affiliated with Lehigh University in the United States. Their research spans multiple fields primarily in Engineering and Computer Science, with significant contributions in Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, and Aerospace Engineering.

The scientist's work frequently appears in a variety of publication venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Information Theory
  • Discover Internet of Things

Rick S. Blum's recent scholarly output includes several papers that address advanced topics in radar signal processing, wireless communication security, and power distribution network optimization. Notable publications from 2020 and 2021 include:

  • "Suboptimal Low Complexity Joint Multi-Target Detection and Localization for Non-Coherent MIMO Radar With Widely Separated Antennas," 2020, IEEE Transactions on Signal Processing
  • "Artificial Noise-Aided MIMO Physical Layer Authentication With Imperfect CSI," 2021, IEEE Transactions on Information Forensics and Security
  • "Secrecy by Design With Applications to Privacy and Compression," 2020, IEEE Transactions on Information Theory
  • "Distributed Outage Detection in Power Distribution Networks," 2020, IEEE Transactions on Smart Grid
  • "Target Detection Using Quantized Cloud MIMO Radar Measurements," 2021, IEEE Transactions on Signal Processing

The main research topics covered include:

  • Smart Grid Security and Resilience
  • Wireless Communication Security Techniques
  • Radar Systems and Signal Processing
  • Power System Optimization and Stability
  • Advanced Graph Neural Networks
  • Advanced SAR Imaging Techniques
  • Cooperative Communication and Network Coding

Frequent coauthors who have collaborated extensively with Rick S. Blum include:

  • Brian M. Sadler
  • Parv Venkitasubramaniam
  • Javad Khazaei
  • Jake Perazzone
  • Paul Yu

The combination of broad disciplinary focus and prolific publication record illustrates an engagement with both theoretical and applied aspects of electronic engineering and computer science, specifically in areas relating to signal processing and network security. The presence of multiple contributions in top IEEE journals highlights participation in leading technical discussions relevant to modern communication systems, radar technology, and smart grid infrastructures.

Best Publications

  • MIMO Radar with Widely Separated Antennas

    A.M. Haimovich;R.S. Blum;L.J. Cimini

  • MIMO radar: an idea whose time has come

    E. Fishler;A. Haimovich;R. Blum;D. Chizhik

  • Spatial Diversity in Radars—Models and Detection Performance

    E. Fishler;A. Haimovich;R.S. Blum;L.J. Cimini

  • A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application

    Zhong Zhang;R.S. Blum

  • Distributed detection with multiple sensors II. Advanced topics

    R.S. Blum;S.A. Kassam;S.A. Kassam;H.V. Poor

  • MIMO radar waveform design based on mutual information and minimum mean-square error estimation

    Yang Yang;R.S. Blum

  • Target Localization Accuracy Gain in MIMO Radar-Based Systems

    Hana Godrich;Alexander M Haimovich;Rick S Blum

  • MIMO capacity with interference

    R.S. Blum

  • On optimum MIMO with antenna selection

    R.S. Blum;J.H. Winters

  • A new automated quality assessment algorithm for image fusion

    Yin Chen;Rick S. Blum

  • Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review

    Qiang Zhang;Yi Liu;Rick S. Blum;Jungong Han

  • Performance of MIMO radar systems: advantages of angular diversity

    E. Fishler;A. Haimovich;R. Blum;R. Cimini

  • On the capacity of cellular systems with MIMO

    R.S. Blum;J.H. Winters;N.R. Sollenberger

  • Optimized signaling for MIMO interference systems with feedback

    Sigen Ye;R.S. Blum

  • Evaluation of Transmit Diversity in MIMO-Radar Direction Finding

    N.H. Lehmann;E. Fishler;A.M. Haimovich;R.S. Blum

  • Decode-and-Forward Cooperative Diversity with Power Allocation in Wireless Networks

    J. Luo;R.S. Blum;L.J. Cimini;L.J. Greenstein

  • Multi-sensor image fusion and its applications

    Rick S. Blum;Zheng Liu

  • High Resolution Capabilities of MIMO Radar

    Nikolaus H. Lehmann;Alexander M. Haimovich;Rick S. Blum;Len Cimini

  • Target Velocity Estimation and Antenna Placement for MIMO Radar With Widely Separated Antennas

    Qian He;R.S. Blum;H. Godrich;A.M. Haimovich

  • The good, bad and ugly: distributed detection of a known signal in dependent Gaussian noise

    P. Willett;P.F. Swaszek;R.S. Blum

Frequent Co-Authors

Alexander M. Haimovich
Alexander M. Haimovich New Jersey Institute of Technology
Brian M. Sadler
Brian M. Sadler United States Army Research Laboratory
Leonard J. Cimini
Leonard J. Cimini University of Delaware
Lance Kaplan
Lance Kaplan United States Army Research Laboratory
Saleem A. Kassam
Saleem A. Kassam University of Pennsylvania
Peter A. Andrekson
Peter A. Andrekson Chalmers University of Technology
Soummya Kar
Soummya Kar Carnegie Mellon University
Reinaldo A. Valenzuela
Reinaldo A. Valenzuela Nokia (United States)
Jun Fang
Jun Fang University of Electronic Science and Technology of China
Yong-hoon Lee
Yong-hoon Lee Korea Advanced Institute of Science and Technology

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