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Computer Science

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Research.com Recognitions

  • 2005 - IEEE Fellow For contributions to adaptive multiuser detection for wireless communication theory.

Overview

Upamanyu Madhow is affiliated with the University of California, Santa Barbara in the United States. Their research spans multiple areas in engineering and computer science, with significant contributions in electrical and electronic engineering and artificial intelligence.

The scientist's work covers various subfields and topics, including:

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Aerospace Engineering
  • Computer Vision and Pattern Recognition
  • Molecular Biology

Their research topics include:

  • Millimeter-Wave Propagation and Modeling
  • Adversarial Robustness in Machine Learning
  • Advanced MIMO Systems Optimization
  • Anomaly Detection Techniques and Applications
  • Microwave Engineering and Waveguides
  • Advanced Neural Network Applications
  • Advanced Wireless Communication Techniques

Upamanyu Madhow has authored numerous papers published in a variety of venues, including:

  • arXiv (Cornell University)
  • 2021 55th Asilomar Conference on Signals, Systems, and Computers
  • IEEE Transactions on Wireless Communications
  • Journal of Signal Processing Systems
  • Software Impacts

Selected recent papers illustrate the range and focus of their research:

  • Wireless Fingerprinting via Deep Learning: The Impact of Confounding Factors (2021), published in 2021 55th Asilomar Conference on Signals, Systems, and Computers
  • Towards robust, interpretable neural networks via Hebbian/anti-Hebbian learning: A software framework for training with feature-based costs (2022), published in Software Impacts
  • Neuro-Inspired Deep Neural Networks with Sparse, Strong Activations (2022), published in 2022 IEEE International Conference on Image Processing (ICIP)
  • Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing (2021), published in arXiv (Cornell University)
  • A Design Framework for All-Digital mmWave Massive MIMO With per-Antenna Nonlinearities (2021), published in IEEE Transactions on Wireless Communications

Frequent collaborators include:

  • Metehan Cekic
  • Maryam Eslami Rasekh
  • Ahmet Dündar Sezer
  • Can Bakiskan
  • M.J.W. Rodwell

Upamanyu Madhow was recognized as an IEEE Fellow in 2005 for contributions to adaptive multiuser detection for wireless communication theory.

Best Publications

  • Blind adaptive multiuser detection

    M. Honig;U. Madhow;S. Verdu

  • MMSE interference suppression for direct-sequence spread-spectrum CDMA

    U. Madhow;M.L. Honig

  • The performance of TCP/IP for networks with high bandwidth-delay products and random loss

    T. V. Lakshman;Upamanyu Madhow

  • Space-time transmit precoding with imperfect feedback

    E. Visotsky;U. Madhow

  • On the Feasibility of Distributed Beamforming in Wireless Networks

    R. Mudumbai;G. Barriac;U. Madhow

  • Distributed transmit beamforming: challenges and recent progress

    R. Mudumbai;D.R. Brown;U. Madhow;H.V. Poor

  • Fundamentals of digital communication

    Upamanyu Madhow

  • On the limits of communication with low-precision analog-to-digital conversion at the receiver

    J. Singh;O. Dabeer;U. Madhow

  • Blind adaptive interference suppression for direct-sequence CDMA

    U. Madhow

  • Optimum beamforming using transmit antenna arrays

    E. Visotsky;U. Madhow

  • Interference analysis for highly directional 60-GHz mesh networks: the case for rethinking medium access control

    Sumit Singh;Raghuraman Mudumbai;Upamanyu Madhow

  • Blockage and directivity in 60 GHz wireless personal area networks: from cross-layer model to multihop MAC design

    S. Singh;F. Ziliotto;U. Madhow;E. Belding

  • Optimization of wireless resources for personal communications mobility tracking

    Upamanyu Madhow;Michael L. Honig;Kenneth Steiglitz

  • Indoor Millimeter Wave MIMO: Feasibility and Performance

    E. Torkildson;U. Madhow;M. Rodwell

  • Distributed Transmit Beamforming Using Feedback Control

    R. Mudumbai;J. Hespanha;U. Madhow;G. Barriac

  • Data transport acceleration and management within a network communication system

    Sungwon Ha;Sung-Wook Han;Tae-Eun Kim;Vaduvur Bharghavan

  • Interference suppression in cdma systems

    Michael Latham Honig;Upamanyu Madhow

  • Distributed beamforming for information transfer in sensor networks

    G. Barriac;R. Mudumbai;U. Madhow

  • TCP over wireless with link level error control: analysis and design methodology

    Hemant M. Chaskar;T. V. Lakshman;U. Madhow

  • Tracking multiple targets using binary proximity sensors

    Jaspreet Singh;Upamanyu Madhow;Rajesh Kumar;Subhash Suri

Frequent Co-Authors

Mark J. W. Rodwell
Mark J. W. Rodwell University of California, Santa Barbara
Joao P. Hespanha
Joao P. Hespanha University of California, Santa Barbara
B.S. Manjunath
B.S. Manjunath University of California, Santa Barbara
Kannan Ramchandran
Kannan Ramchandran University of California, Berkeley
Michael L. Honig
Michael L. Honig Northwestern University
Soura Dasgupta
Soura Dasgupta University of Iowa
Elizabeth Belding
Elizabeth Belding University of California, Santa Barbara
Ralf Koetter
Ralf Koetter Technical University of Munich
David J. Love
David J. Love Purdue University West Lafayette
Haitao Zheng
Haitao Zheng University of Chicago

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